BTech Industrial Engineering, S5&S6 2019 Syllabus corrected

SEMESTER V

INDUSTRIAL ENGINEERING

SEMESTER-5 INDUSTRIAL ENGINEERING

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SEMESTER 5

SLOT COURSE NO

COURSES L-T-P HOURS CREDIT

A IET 301 SUPPLY CHAIN AND LOGISTICS MANAGEMENT

3-1-0 4 4

B IET 303 OPERATIONS RESEARCH 3-1-0 4 4

C IET 305 THERMAL ENGINEERING 3-1-0 4 4

D IET 307 OBJECT ORIENTED PROGRAMMING 3-1-0 4 4

E 1/2

HUT300 INDUSTRIAL ECONOMICS AND FOREIGN TRADE

3-0-0 3 3

HUT310 MANAGEMENT FOR ENGINEERS 3-0-0 3 3

F MCN301 DISASTER MANAGEMENT 2-0-0 2 --

S IEL 331 THERMAL ENGINEERING LAB 0-0-3 3 2

T IEL 333 OBJECT ORIENTED PROGRAMMING LAB 0-0-3 3 2

R/M/H VAC REMEDIAL / MINOR / HONOURS COURSE 3-1-0 4 4

TOTAL 31 23/27

MINOR

IET381 DECISION SCIENCES

HONOURS

IET393 FINANCIAL REPORTING AND ANALYSIS

IET395 MARKETING MANAGEMENT


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COURSE DESIGN

Each course syllabus in this document is holistic in terms of Course Outcomes (COs), Program Outcomes (POs), Course Mapping, Course Contents, Course Schedule, Assessment Pattern, Assessment Questions and Model question paper. COs are statements that describe what students are expected to know, and are able to do at the end of each course. POs are statements that describe what students are expected to know and be able to do upon graduating from the program. Course mapping information containing Course Outcomes (COs) for each course and it link with Program Outcomes (POs) can be found in the first page of each course syllabus in this file. NBA has defined the following twelve POs for an engineering graduate. 1) Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals,

and an engineering specialization to the solution of complex engineering problems.

2) Problem Analysis: Identify, formulate, review research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.

3) Design/Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

4) Conduct Investigations of Complex Problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions for complex problems:

- that cannot be solved by straightforward application of knowledge, theories and techniques applicable to the engineering discipline as against problems given at the end of chapters in a typical text book that can be solved using simple engineering theories and techniques;

- that may not have a unique solution. For example, a design problem can be solved in many ways and lead to multiple possible solutions;

- that require consideration of appropriate constraints / requirements not explicitly given in the problem statement such as cost, power requirement, durability, product life, etc.;

- which need to be defined (modelled) within appropriate mathematical framework; and

- that often require use of modern computational concepts and tools, for example, in the design of an antenna or a DSP filter.

5) Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.

6) The Engineer and Society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.


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7) Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

8) Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

9) Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

10) Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

11) Project Management and Finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

12) Life-long Learning: Recognize the need for, and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change.

Source: National Board of Accreditation. (2019) Manual for Accreditation of Undergraduate

Engineering Programs, National Board of Accreditation, New Delhi. https://www.nbaind.org/files/NBA_UGEngg_Tier_I_Manual.pdf


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IET301 SUPPLY CHAIN AND LOGISTICS

MANAGEMENT CATEGORY L T P CREDIT

PCC 3 1 0 4

PREAMBLE This course helps the students to understand the concept of supply chain and logistics and apply the tools and models related to supply chain and logistics problems and decision scenarios.

PREREQUISITE Nil

COURSE OUTCOMES After the completion of the course the student will be able to

CO 1 Understand general features and design of supply chain networks

CO 2 Apply tools on planning and control decisions in production chains

CO 3 Apply techniques and models on material flow decisions in supply chains

CO 4 Understand tools and models on logistics network design decisions and apply the same

CO 5 Understand multi-stage, reverse, closed loop and green logistics and apply related models

MAPPING OF COURSE OUTCOMES WITH PROGRAM OUTCOMES

Refer: Page 3 for PO information.

PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12

CO 1 2 2 3 1

CO 2 2 2 2 3 1

CO 3 2 2 2 3 1

CO 4 2 2 2 3 1

CO 5 2 2 3 2 2 1

Strong - 3 Medium - 2 Weak - 1


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ASSESSMENT PATTERN

Bloom’s Category Continuous Assessment Tests End Semester Examination

Test 1 Test 2

Remember 10 10 10

Understand 20 20 20

Apply 20 20 70

Analyse

Evaluate

Create

Mark distribution

Total Marks Continuous Internal

Evaluation End Semester Examination

End Semester Examination Duration

150 50 100 3 hours

Continuous Internal Evaluation Pattern Attendance : 10 marks Continuous Assessment Test (2 numbers) : 25 marks Assignment/Quiz/Course project : 15 marks End Semester Examination Pattern There will be two parts; Part A and Part B. Part A contain 10 questions with 2 questions from each module, having 3 marks for each question. Students should answer all questions. Part B contains 2 questions from each module of which student should answer any one. Each question can have maximum 2 sub-divisions and carry 14 marks.


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COURSE LEVEL ASSESSMENT QUESTIONS Course Outcome 1 (CO1) 1. List out and explain the important supply chain matrices. 2. Explain about supply chain restructuring with an example. 3. Develop a model for distribution facility location. Course Outcome 2 (CO2) 1. How de-seasonalization is done in supply chain forecasting. 2. List out and explain aggregate planning strategies in production chains. 3. Select an advanced line balancing technique and discuss its procedural steps. Course Outcome 3 (CO3) 1. Classify the cycle and safety inventory models. 2. Develop a probabilistic demand inventory model for multi-echelon supply chain. 3. Describe about bullwhip effect and risk pooling. Course Outcome 4 (CO4) 1. Compare the difference between 3PL, 4PL and 5PL. 2. Choose an advanced scheduling technique in logistics and discuss its procedural steps. 3. Describe the steps for solving vehicle routing problems. Course Outcome 5 (CO5) 1. Illustrate the importance of green supply chains. 2. Develop a mathematical formulation for multi-stage transportation problem. 3. Choose cases and apply bin packing problems, fixed charge problems and knapsack problems.


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MODEL QUESTION PAPER

APJ ABDUL KALAM TECHNOLOGICAL UNIVERSITY FIFTH SEMESTER B.TECH DEGREE EXAMINATION

COURSE CODE: IET 301

COURSE NAME: SUPPLY CHAIN AND LOGISTICS MANAGEMENT

Max. Marks: 100 Duration: 3 Hours PART A

Answer all Questions. Each question carries 3 Marks 1) List out and explain the important supply chain performance measures and drivers. 2) Explain about le-agile and resilient supply chains. 3) Discuss about aggregate planning strategies with their pros and cons. 4) Explain about operations planning to respond predictable variability in production. 5) Name and explain any two cycle inventory models. 6) What is meant by bullwhip effect and risk pooling in supply chain? Explain. 7) Distinguish between 3PL, 4PL and 5PL. Explain them. 8) Compare different methods of sequencing in transportation. 9) Explain about bin packing and fixed charge problems. 10) Discuss the concept of green and sustainable supply chains. (10x3=30 marks)

PART B

Answer any one full question from each module. Each full question carries 14 Marks

Module 1 11) (a) List out explain the major supply chain performance drivers and metrics. Discuss the same

in context of vegetables supply chains within our state. (7 marks)

(b) Explain the various supply chain echelons and flows involved in a selected grocery supply chain in India by mentioning the zone of strategic fit. (7 marks)

Or

12) (a) Discuss about distribution networks and models for facility layout decisions. (7 marks)

(b) Determine the optimum distributor location with the following data related to six retailer destinations. (7 marks)

Markets M1 M2 M3 M4 M5 M6 Xn 460 245 234 654 268 546 Yn 356 664 (-)456 457 654 567 Dn 234 254 256 245 (-)249 252 Fn 190 180 170 175 185 165


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Module 2 13) (a) Explain in detail about any one adaptive forecasting techniques used for planning demand in

supply chains. (7 marks) (b) Do an optimal aggregate planning using the following information. Assume missed data if any.

Month Demand Item Cost (INR) Other data JAN 2200 material 110 Labour Hours 6/unit FEB 3200 Inv. holding 20 Start Inventory 1500 MAR 3500 Backlog 250 End inventory >1000 APR 3000 Labour hiring 650 Labour force 80 MAY 2000 Labour layoff 450 No. of days/m 20 JUN 2500 RT cost 4 No. of shifts 1 JUL 1000 OT cost 6 No. of hours/shift 8 Subcontracting 30 OT hr. limit 7

(7 marks)

Or 14) (a) Using the given monthly demand data, calculate forecasted demand at a warehouse using two

point moving average method. Determine SAD, MAD, MAPE, RSFE, RAFE and TS. M1:1230; M2:1290; M3:1520; M4:1630; M5:1740; M6:1800; M7:1900; M8:201.

(7 marks)

(b) Discuss about LP modelling in aggregate planning with an example in production scenario. (7 marks)

Module 3

15) (a) Explain about multi-echelon inventory systems and their limitations with examples. (7 marks)

(b) Find the optimal order frequency and size for the following three product joint order case when fixed part of ordering cost as Rs.4600/-.

Product Demand Unit cost Order cost Carrying cost

P1 16000 3000 1000 10%

P2 18000 3500 1200 12%

P3 20000 4000 1500 11% (7 marks)

Or

16) (a) Explain about any two replenishment policies suitable for production inventory management.

(7 marks)

(b) The weekly demand of a product at two fruits retailers is normally distributed with a mean of 2,000 and SD of 150. The distributor takes two days to fill an order placed by the retailers.


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Differentiate the safety inventory and average inventory carried out by these retailers trying for achieving 93% and 96% service levels. (7 marks)

Module 4

17) (a) Discuss the design options in transportation network with examples. (7 marks)

(b) Using the given cost matrix (six plants – six warehouses) find the optimum cost of shipping using Vogel’s approximation method.

W1 W2 W3 W4 W5 W6 SUPPLY

P1 10.RN 45.09 24.76 51.56 31.98 51.56 2500 P2 34.98 34.RN 56.32 49.34 23.19 49.34 3100 P3 51.56 94.77 14.RN 78.92 51.56 78.92 2600 P4 49.34 34.23 78.91 56.RN 49.34 56.91 2700 P5 78.92 23.98 23.17 34.91 78.RN 45.23 4100 P6 56.91 10.96 34.23 12.11 56.91 45.RN 1500

DEMAND 2000 4200 3200 1900 2900 3000 (7 marks)

Or 18 (a) Discuss the advanced techniques for allocation, routing, scheduling and sequencing in

transportation. (7 marks) (b) Find the optimum schedule and route for the following distribution problem using savings matrix method. (Vehicle capacity 140 units and No. of vehicles 3)

DC C1 C2 C3 C4 C5 C6 C7 C8 X 12 45 23 8 23 21 34 12 Y 9 12 42 23 12 10 21 18

Demand 35 45 39 29 39 49 51 29 (7 marks)

Module 5

19) (a) Develop a mathematical model for a multi-stage transportation problems included with node

capacities. (7 marks) (b) Compare and contrast the logistical scenarios where bin packing problems, fixed charge problems and knapsack problems are applied. (7 marks)

Or

20) (a) Differentiate between reverse and closed loop supply chains and discus their context of

applications. (7 marks) (b) Explain the concept of green logistics. Formulate and discuss a mathematical model pertaining to a green chain in India. (7 marks)


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SYLLABUS Module 1: General Features and Design of Supply Chains (9 hours) Supply Chain – Objectives, structures, decision phases, performance measures, strategic fit, drivers and metrics. Design of distribution networks and models for facility location and layout decisions. Major features of postponement, mass customisation, supply chain restructuring, lean, agile, leagile, resilient, dual channel and international supply chains. Module 2: Planning and Control Decisions in Production Chains (9 hours) Forecasting models for supply chains including seasonal models, forecast errors and de-seasonalization. Aggregate Planning Strategies, methods and models with quantitative examples. Operations planning to respond predictable variability in production chain using sequencing, scheduling and line balancing. Module 3: Material Flow Decisions in Supply Chains (9 hours) Cycle inventory models, discounting models, multi-item inventory models and production-consumption models related to supply chains including multi-echelon systems. Safety inventory models for continuous review and periodic review cases of single and multi-items with probabilistic demand including for multi-echelon supply chains. Models, tools and techniques related to optimal level of product availability, bullwhip effect and risk pooling. Module 4: Logistics Network Design Decisions (9 hours) Design options in transportation network, trade-offs, risk management, 3PL, 4PL and 5PL. Methods and techniques for allocation, routing, scheduling and sequencing in transportation. Formulation and solution of vehicle routing problems with quantitative examples. Module 5: Multi-stage, Reverse, Closed Loop and Green Logistics Design (9 hours) Mathematical formulation and solution of multi-stage transportation problems included with node capacities. Advanced logistics decision models including bin packing problems, fixed charge problems and knapsack problems. Methods, models and tools related to reverse, closed loop and green logistics in uncertain situations like Covid scenario. Text Books 1. Chopra, S. & Meindl, P. (2016). Supply Chain Management: Strategy, Planning and Operation, 6th

Edition, Pearson Education.

2. Srinivasan, G. (2018). Quantitative Models in Operations and Supply Chain Management, 2nd Edition, Prentice Hall India.

Reference Books 1. Bowersox, D. J. & Closs, D. J. (2017). Logistical Management: The Integrated Supply Chain

Process, McGraw Hill.


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2. Christopher, M. (2011). Logistics and supply chain management, 4th Edition, Pearson Education.

3. Levi, D. S., Levi, E. S., Shankar, R., and Kaminsky, P. (2019). Designing and Managing the Supply Chain, 3rd edition, McGraw Hill.

4. Shah, J. (2016). Supply Chain Management: Text and Cases, 2nd Edition, Pearson Education.

5. Shapiro, J. F. (2006). Modeling and Supply Chain, Cengage Learning.

6. Taylor, D. & Brunt, D. (2009). Manufacturing Operations and Supply Chain Management, Vikas Thomson Learning.


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COURSE CONTENTS AND LECTURE SCHEDULE

No Topic No. of Lectures 1 General Features and Design of Supply Chains (9 hours)

1.1 Supply Chain – Objectives, structures, decision phases, performance measures, strategic fit, drivers and metrics.

3 hours

1.2 Design of distribution networks and models for facility location and layout decisions.

3 hours

1.3 Major features of postponement, mass customisation, supply chain restructuring, lean, agile, le-agile, resilient, dual channel and international supply chains.

3 hours

2 Planning and Control Decisions in Production Chains (9 hours)

2.1 Forecasting models for supply chains including seasonal models, forecast errors and de-seasonalization.

3 hours

2.2 Aggregate Planning Strategies, methods and models with quantitative examples.

3 hours

2.3 Operations planning to respond predictable variability in supply chain using sequencing, scheduling and line balancing.

3 hours

3 Material Flow Decisions in Supply Chains (9 hours)

3.1 Cycle inventory models, discounting models, multi-item inventory models and production-consumption models related to supply chains including multi-echelon systems.

3 hours

3.2 Safety inventory models for continuous review and periodic review cases of single and multi-items with probabilistic demand including for multi-echelon supply chains.

3 hours

3.3 Models, tools and techniques related to optimal level of product availability, bullwhip effect and risk pooling.

3 hours

4 Logistics Network Design Decisions (9 hours)

4.1 Design options in transportation network, trade-offs, risk management, 3PL, 4PL and 5PL.

3 hours

4.2 Methods and techniques for allocation, routing, scheduling and sequencing in transportation.

3 hours

4.3 Formulation and solution of vehicle routing problems with quantitative examples.

3 hours

5 Multi-stage, Reverse, Closed Loop and Green Logistics Design (9 hours)

5.1 Mathematical formulation and solution of multi-stage transportation problems included with node capacities.

3 hours

5.2 Advanced logistics decision models including bin packing problems, fixed charge problems and knapsack problems.

3 hours

5.3 Methods, models and tools related to reverse, closed loop and green logistics in uncertain situations like Covid scenario.

3 hours

45 hours


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IET303 OPERATIONS RESEARCH CATEGORY L T P CREDIT PCC 3 1 0 4

PREAMBLE

This course aims at developing the ability to formulate mathematical models for quantitative analysis of practical decision situations in industry. Imparting the skills that aid the use of Operations Research approaches in solving real life industrial problems.

PREREQUISITE

Nil

COURSE OUTCOMES

After the completion of the course the student will be able to

CO 1 Recall the use of Operations Research, demonstrate linear programming problem modelling skills and to develop solutions to help decision making.

CO 2 Illustrate modelling skills and to apply solution skills to transportation and assignment problems.

CO 3 Interpret queuing situations and to make use of the queuing theory to solve queuing system models.

CO 4 Interpret game theory application to develop solution to industrial problems that are game theoretic in nature.

CO 5 Summarize the use of dynamic programming in to construct solution procedure for different engineering and management problems.

CO 6 Explain decision theory application to real life problems and to build solutions to industrial problems that need the support of decision theory to solve.

CO 7 Formulate suitable replacement strategies to items that deteriorate over time and that fail suddenly and introduce various software packages for decision making.

MAPPING OF COURSE OUTCOMES WITH PROGRAM OUTCOMES Refer: Page 3 for PO information.

PO1 PO 2 PO 3 PO 4 PO 5 PO 6 PO 7 PO 8 PO 9 PO10 PO11 PO12

CO 1 3 3 3 2 3 3 2 3

CO 2 3 3 3 2 3 3 2 3

CO 3 3 3 2 2 3 3 2 3

CO 4 3 3 3 2 3 3 2 3

CO 5 3 3 3 2 2 3 3 2 3

CO 6 3 3 3 2 3 3 2 3


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CO 7 3 3 3 2 2 3 3 2 3


ASSESSMENT PATTERN


Test 1 Test 2

Remember 10 10 10

Understand 20 20 20

Apply 20 20 70

Analyse

Evaluate

Create

Mark distribution




150 50 100 3 hours

Continuous Internal Evaluation Pattern

Attendance : 10 marks Continuous Assessment Test (2 numbers) : 25 marks Assignment/Quiz/Course project : 15 marks

End Semester Examination Pattern

There will be two parts; Part A and Part B. Part A contain 10 questions with 2 questions from each module, having 3 marks for each question. Students should answer all questions. Part B contains 2 questions from each module of which student should answer any one. Each question can have maximum 2 sub-divisions and carry 14 marks.


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COURSE LEVEL ASSESSMENT QUESTIONS Course Outcome 1 (CO1) 1. Discuss the advantages and limitations of Operations Research Problems 2. A company produces has two products A and B. The weakly production of product A cannot exceed

30 and requires two workers. The weakly production of product B cannot exceed 25 and requires only one worker. Totally there are 80 workers in the company and the profits are Rs. 500/- and Rs. 300/- on Products A and B respectively. Formulate the situation and find the optimal product mix.

3. Solve the following LPP by Big M – method Minimize Z = 2X1+9 X2+ X3 Subject to X1+4 X2+2 X3 ≥ 5 3 X1+ X2+2 X3 ≥ 4 X1, X2, X3 ≥ 0

Course Outcome 2 (CO2) 1. Explain how the optimal solution to transportation problem is obtained using Stepping Stone method 2. A firm manufacturing a product at three plants A, B and C have produced 60, 35 and 40 units

respectively. The firm has contracted to sell 22, 45, 20, 18 and 30 units to customers P, Q, R, S and T respectively. Find the minimum transportation cost involved in shifting the product to customers if the cost per unit of transportation is as follows:

P Q R S T

A 4 1 3 4 4

B 2 3 2 2 3

C 3 5 2 4 4

3. What do you mean by balancing an assignment problem? What steps you take to solve maximization

case in assignment problem? Explain.

Course Outcome 3 (CO3) 1. Four counters are being run on the frontier of a country to check the passports and necessary papers

of the tourists. The tourists choose a counter at random. If the arrival at the frontier is Poisson at the rate λ and the service is exponential with parameter μ, what is the steady state average queue at each counter?

2. Customers visit a specialist at the rate of 4/ hour (Poisson) and consultation takes an average of 12 minutes (exponential). Compute the probability that:

a. There are three or less people in the system b. There are 5 or more people in the system c. The specialist is free

Course Outcome 4 (CO4) 1. Explain the theory of Dominance in solving a given game. 2. Explain the graphical method of solving a game. 3. Find the value and optimal strategies of two - person zero sum game


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1 2 3

2 0 3

Course Outcome 5 (CO5) 1. Use dynamic programming to solve

Maximize Z = 3a + 5b subject to a ≤ 4 b ≤ 6 3a + 2b ≤18 and a, b both ≥ 0

2. In a cargo loading problem, there are four items of different per unit weight and value as given below. Item Weight (Wi) Value per unit (Vi)

1 2 2 2 3 5 3 4 7 4 5 9

The minimum cargo load is restricted to 10 units. How many units of each item are loaded to maximize the return value? Course Outcome 6 (CO6) 1. Explain the concept of expected value. Give general formula for calculating the expected value when

we have a finite number of outcomes. 2. Define the term Decision theory. Describe decision models based on the criterion of degree of

certainty. 3. A large steel manufacturing company has three options with regard to production (a) Produce

commercially (b) Build pilot plant and (c) Stop producing steel. The management has estimated that their pilot plant, if built, has 0.8 chance of high yield and 0.2 chance of low yield. If the pilot plant does show a high yield, management assigns a probability of 0.75 that the commercial plant will also have a high yield. If the pilot plant shows a low yield, there is only a 0.1 chance that the commercial plant will show a high yield. Finally, management's best assessment of the yield on a commercial-size plant without building a pilot plant first has a 0.6 chance of high yield. It is estimated that the cost pilot plant will be Rs. 3,00,000/. The profits earned under high and low yield conditions are Rs. 1,20,00,000/- and – Rs. 12,00,000/- respectively. Find the optimum decision for the company.

Course Outcome 7 (CO7) 1. Explain different types of replacement problems by giving examples. 2. A firm pays Rs. 10,000/- for its automobiles. Their operating and maintenance costs are about Rs.

2,500/- per year for the first two years and then go up by Rs. 1500/- approximately per year. When should such vehicles be replaced? The discount rate is 0.9.

3. The following mortality rates have been observed for a certain type of light bulbs:

Week 1 2 3 4 5 % Failing by weekend 10 20 40 80 100

There are 1000 bulbs in use and it costs Rs.20/- to replace an individual bulb, which has burnt out. If all bulbs were replaced simultaneously, it would cost 100 paise per bulb. It is proposed to replace all


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the bulbs at fixed intervals, whether or not they have burnt out, and to continue replacing burnt out bulbs as they fail. At what intervals should all the bulbs be replaced?


APJ ABDUL KALAM TECHNOLOGICAL UNIVERSITY FIFTH SEMESTER B. TECH DEGREE EXAMINATION

COURSE CODE: IET 303

COURSE NAME: OPERATIONS RESEARCH

Max. Marks: 100 Duration: 3 Hours

PART A Answer all questions, each carries 3marks.

1 Define iso -profit line. How does it help to obtain solution to the linear programming problem?

(3 Marks)

2 What is a redundant constraint? What does it imply? (3 Marks) 3 Write notes on methods to find basic feasible solution to a transportation problem. (3 Marks) 4 Explain how to solve assignment problem with maximization objective. (3 Marks) 5 What is the role of queue discipline in queuing problem? (3 Marks) 6 Explain with examples the concept of dominance in game theory. (3 Marks) 7 List the characteristics of DP problems. (3 Marks) 8 Write notes on Bellman’s principle of optimality. (3 Marks) 9 Describe important replacement situations and policies. (3 Marks)

10 Define EVPI. How is it calculated? (3 Marks)

PART B Answer one full question from each module, each carries 14 marks.

Module I

11 Use the Simplex method to solve the LPP

Maximize Subject to the constraints:

(14 Marks)

Or

12 Write notes on a) Weak Duality theorem (5 Marks) b) Economic interpretation of dual (5 Marks) c) Convex set (4 Marks)

Module 2


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13 A company has decided to initiate the production of some or all of the four new products at three branch plants with excess production capacity. The available capacities in the three plants are 40, 50, and 30 units per week while the demand for the product are 50, 30, 40, 20 units, respectively. The cost per unit of production is as follows

Products Plants

1 2 3 4

1 3 6 5 2 2 4 M 5 4 3 3 4 4 4

Solve the transportation problem optimally

(14 Marks)

Or

14 Five students reach the railway station in their town and want to travel to their respective homes in auto rickshaws. Each person approaches a rickshaw driver and finds out the charges for the five destinations from him which is as follows

80 90 40 60 30

40 70 50 80 50

40 90 70 60 60

80 40 60 50 50

70 80 60 60 60

i. Find out the optimal assignment and the corresponding cost involved. ii. If the drivers decide not to accept a passenger if he gets less than 40, what

happens to the optimal solution

(14 Marks)

Module 3

15 a) Derive from the first principle the expressions for P0 and Lq for a M/M/1/∞/∞ model.

(10 Marks)

b) Write notes on Two Person Zero Sum game. (4 Marks)

Or

16 a) In a drive-in ATM counter, only 5 cars can be parked inside the compound. In the case of more than 5 cars they will have to wait outside before getting into the inside parking queue. The arrivals follow Poisson with an average of 2 cars in every five minutes. The said counter can serve the customers at the rate of 1.5 minutes per customer and obeyed by exponential probability distribution. Find out:

a. The probability the server is idle. b. Expected time that the customer has to spend in the system. c. The probability that a customer waits for inside queue but outside

the compound.

(14 Marks)

Module 4

17 Anand has eight hours to prepare for the Operations Research exam. He has three books to read and estimates the expected marks to be 10 + 3X1, 6 + 4X2 and 3 + 6X3 respectively if X1, X2 and X3 hours are allotted to the three books.

(14 Marks)


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He wants to allot the time in such a way to maximize the minimum among three marks that can be got. Solve the problem using dynamic programming.

Or

18 Solve the following problem using dynamic programming Minimize

Subject to

(14 Marks)

Module 5

19 A fleet owner finds from his past records that the costs per year of running a truck whose purchase price is Rs. 6,00,000/- are as follows:

Year 1 2 3 4 5 6 7

Running cost 10000 12000 14000 18000 23000 28000 35000

Resale Value 300000 150000 75000 37500 20000 20000 20000

(14 Marks)

Or

20 a) Define the term Decision theory. Describe decision models based on the criterion of degree of certainty.

(7 Marks)

b) Explain the concept of expected value. Give general formula for calculating the expected value when we are a finite number of outcomes.

(7 Marks)

****


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SYLLABUS

Module 1: Introduction to OR & Linear programming (10 hours) Operations research -Definitions, History, Applications, Models and Methods for solving Operations Research Models. Linear Programming models -General formulation, Graphical solutions, Simplex method, Big M method, Duality theory –Interpretation of dual variables, shadow price, Primal Dual Relationships. Module 2: Transportation & Assignment Models (8 hours) Transportation Problems -General Concepts, Formulations, Balanced/Unbalanced transportation problems. Solution Methods -North West Corner rule, Least Cost Method, Vogel‘s Approximation Method. Optimality Tests -Stepping Stone Method and Modified Distribution method, Degeneracy, Transhipment problems, maximization problems. Assignment Problems -General Concepts, Assumptions & Limitations, Formulation and solution of assignment problem, Special Issues, Restricted routes/Multiple Optimal Solutions. Generalized Transportation Problem, Generalized Assignment Problem. Module 3: Queuing and Game Theory (10 hours) Queuing theory -Taxonomy of waiting line models, Pure birth-death model. Basic Queuing Models - Single Server Infinite Queue Length Model, Single Server Finite Queue Length Model, Multiple Server Infinite Queue Length Model, Multiple Server Finite Queue Length Model. Game theory - Practical application of game theory, Two –person Zero -Sum games, Solution with and without Saddle point, Rules of Dominance, other solution methods. Module 4: Deterministic Dynamic Programming (7 hours) Deterministic Dynamic Programming -stage and state, characteristics of DP problems, recursive relationship, Bellman’s principle of optimality -computational procedure for Shortest Route problem, Reliability Problem, Equipment Replacement Problem, Linear Programming Problem, Manpower Planning problem, Oil Exploration Problem, Knapsack problem, etc. Module 5: Decision Theory & Replacement Analysis (10 hours) Decision theory -Types of decision-making environment - Decision making under uncertainty and under risk – Decision tree analysis. Replacement analysis: items that deteriorate over time, items that fail suddenly, optimum replacement policies for both cases. Introduction to software packages for decision making. Text Books 1. Hira, D. S. and Gupta, P. K. (2015). Operations Research, S. Chand and Sons.

2. Kalavathy, S. (2013). Operations Research, 4th Edition, Vikas Publishing House.

3. Rama Murthy, P. (2005). Operations Research, New Age International.

4. Rardin, R. L. (2013). Optimization in Operations Research, Pearson Education.


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5. Sharma, J. K. (2009). Operations Research, Macmillan, 2009.

6. Srinivasan, G. (2010). Operations Research, PHI.

7. Swarup, K., Gupta, P. K., and Mohan, M. (2014). Operations Research, S. Chand & Sons.

8. Taylor, B. W. (2014). Introduction to Management Science, 14th Edition, Pearson Education.

9. Vohra, N. D. (2007). Quantitative Methods in Management, TMH.

10. Wagner, H. M. (1975). Principles of Operations Research with Applications to Managerial Decisions, PHI.

Reference Books 1. Hillier, F. S. and Lieberman, G. J. (2005). Introduction to Operations Research, Tata McGraw Hill.

2. Poler, R., Mula, J., & Dıaz-Madronero, M. (2014). Operations Research Problems. Springer.

3. Taha, H. A. (2010). Introduction to Operations Research, 9th Edition, PHI.

4. Winston, W. L. (2008). Operations Research: Applications and Algorithms, Thomson Business Press, 2008.


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No Topic No. of Lectures 1 Module 1: Introduction to OR & Linear programming (10 hours)

1.1 Operations Research – Introduction 1 hour 1.2 Linear Programming Problem (LPP) – Formulation 2 hours 1.3 LPP – Solution Techniques 4 hours 1.4 LPP – Duality and Primal Dual Relationship 3 hours 2 Module 2: Transportation & Assignment Models (8 hours)

2.1 Transportation Problem – Introduction & Formulation 1 hour 2.2 Transportation Problem – Initial Feasible Solution 2 hours 2.3 Transportation Problem – Optimal Solution 3 hours 2.4 Assignment Problem – Introduction & Formulation 1 hour 2.5 Assignment Problem – Solution Techniques 1 hour 3 Module 3: Queuing and Game Theory (10 hours)

3.1 Queuing theory – Introduction 1 hour 3.2 Models -Single Server Infinite Queue Length Model 2 hours 3.3 Single Server Finite Queue Length Model 1 hour 3.4 Multiple Server Infinite Queue Length Model 2 hours 3.5 Multiple Server Finite Queue Length Model. 1 hour 3.6 Game theory – Introduction 1 hour 3.7 Two –person Zero -Sum games – Solution Techniques 2 hours 4 Module 4: Deterministic Dynamic Programming (7 hours)

4.1 Deterministic Dynamic Programming – Introduction 1 hour 4.2 Computational Procedure - Discrete Optimization Problems 4 hours 4.3 Computational Procedure – Continuous Optimization Problems 2 hours 5 Module 5: Decision Theory & Replacement Analysis (10 hours)

5.1 Decision theory – Introduction 1 hour 5.2 Decision making under uncertainty 1 hour 5.3 Decision making under risk 1 hour 5.4 Decision tree analysis 2 hours 5.5 Replacement analysis - Items that Deteriorate over Time 2 hours 5.6 Replacement analysis - Items that Fail Suddenly 2 hours 5.7 Software Packages for Decision Making –Familiarization 1 hour

Total 45 hours


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IET 305

THERMAL ENGINEERING CATEGORY L T P CREDIT

PCC 3 1 0 4

PREAMBLE This course imparts understanding about the power generation using heat energy conversion equipments. It helps in understanding the thermodynamic and heat transfer concepts, the construction and the working principles of various heat energy devices such as steam generators, steam turbines, gas turbines, air compressors, IC engines.

PREREQUISITE EST120 BASICS OF CIVIL & MECHANICAL ENGINEERING


CO 1 Understand the basic concepts and laws of thermodynamics.

CO 2 Discuss the concepts and applications of steam engineering.

CO 3 Explain the working of air compressors and gas turbines and select the suitable one based on application.

CO 4 Explain performance testing and combustion in IC engines

CO 5 Understand basic concepts of heat transfer and laws.




CO1 3 2 2

CO2 3 2 2 2

CO3 3 3 2 2

CO4 3 2 2 2

CO5 3 2 2



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ASSESSMENT PATTERN


Test 1 Test 2

Remember 10 10 10

Understand 20 20 20

Apply 20 20 70

Analyse

Evaluate

Create

Mark distribution




150 50 100 3 hours



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COURSE LEVEL ASSESSMENT QUESTIONS Course Outcome 1 (CO1) 1. State first law of thermodynamics and its limitations. 2. Discuss second law of thermodynamics applied to an open system and closed system. 3. Describe the terms availability and unavailability. Course Outcome 2 (CO2) 1. Discuss the working of Rankine cycle with relevant P-V and T-S diagrams. 2. Explain the working of binary vapour cycle with neat sketches. 3. Discuss the working of Babcock and Wilcox boiler with neat sketches showing its important parts. Course Outcome 3 (CO3) 1. Derive the expression for work done in a reciprocating compressor with and without the clearance

volume. 2. Explain the working of centrifugal and axial compressors with neat sketches. 3. Discuss the working of open cycle and closed cycle gas turbine with sketches. Course Outcome 4 (CO4) 1. Explain with P-Ɵ diagram various stages of SI engine combustion. 2. Explain the various factors that reduce knock in IC engine. 3. Discuss any two alternate fuels used in IC engines and its advantages. Course Outcome 5 (CO5) 1. State and explain Wein’s displacement law. 2. Distinguish between a black body and grey body. 3. State and explain Stefan Boltzmann’s law.


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COURSE CODE: IET305

COURSE NAME: THERMAL ENGINEERING


PART – A Answer all questions, each question carries 3 marks

1. State first law of thermodynamics. Define the term ‘Internal Energy’. 2. State Kelvin-Planck and Clausius statement of second law of thermodynamics. 3. Draw P-V diagram and T-S diagram of Modified Rankine cycle showing the processes. 4. Define the given terms in steam engineering: (a) dryness fraction, (b) Latent Heat. 5. Enumerate the applications of air compressors. List the types of air compressors. 6. Draw the schematic diagram of closed cycle gas turbine and show the processes on P-V diagram. 7. Define the following terms used in performance testing of IC engines: (a) Indicated Power, (b) Brake

Power. 8. Discuss the terms pre-ignition and detonation in IC engine combustion. 9. Define the following terms used in heat transfer: (a) grey body, (b) black body. 10. The inner surface of a plain brick wall is at 500C and the outer surface is at 250C.Calculate the rate of

heat transfer per m2of surface area of the wall, which is 180mm thick. The thermal conductivity of the brick is 0.48Watts/m0C.

PART – B Answer one full question from each module, each carries 14 marks

Module 1

11. a) Discuss Second Law of Thermodynamics applied to a closed system. (8 marks)

b) Define the term ‘availability’ and ‘unavailability’. (6 marks)

Or 12. Derive thermodynamic relations. (14 marks)

Module 2

13. a) Explain the working of Rankine cycle with neat sketches showing the processes on P-V and T-S

diagram (8 marks) b) Discuss two methods to improve the performance of steam cycles. (6 marks)

Or


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14. a) Define boiler. Enumerate the applications of boiler. (4 marks) b) With neat sketches explain the working of Babcock and Wilcox boiler showing its important parts.

(10 marks)

Module 3

15. a) Derive expression for work done by a reciprocating compressor with clearance volume and without clearance volume. (8marks)

b) Explain the working of centrifugal compressor with neat sketches. (6 marks)

Or

16. a) Describe the process of intercooling and reheating of gas turbines. (8 marks)

b) In a constant pressure open cycle gas turbine air enters at 1 bar and 200C and leaves thecompressor at 5 bar. Using the following data:Temperature of gases entering the turbine=6800C, Pressure loss in the combustion chamber=0.1 bar,ηcompressor=85%,ηturbine=80%,ηcombustion=85%, γ=1.4 and cp=1.024kJ/kgK for air and gas, find(i) The quantity of air circulation if the plant develops 1065kW.(ii) Heat supplied per kg of air circulation.(iii) The thermal efficiency of the cycle. (6 marks) Mass of the fuel may be neglected.

Module 4

17. a) Define knocking. Discuss the factors affecting knocking in IC engines. (8 marks) b) Discuss any two alternate fuels used in IC engine combustion. List the advantages and

disadvantages (6 marks)

Or

18. a) Discuss two methods to control IC engine pollution. (8 marks) b) Explain normal combustion phenomena of SI engines using p-θ angle diagram. (6 marks)

Module 5

19. a) State and explain Fourier Law of conduction. (7 marks) b) State and explain Kirchhoff’s Law. ( 7 marks)

Or

20 a) Define the following terms: (i) Total emissive power.(ii) Monochromatic emissive power. (6 marks)

b) State Stefan-Boltzmann Law. Explain the concept of a black body. (8 marks)


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SYLLABUS

Module 1: Introduction to Thermodynamics (9 hours) Significance and applications of thermodynamics, Basic concepts of thermodynamics, Laws of thermodynamics and corollaries, First and second law applied to open and closed systems, Entropy, Availability and unavailability, Ideal and real gas equations, Thermodynamic relations. Module 2: Steam Engineering (9 hours) Steam engineering: T-S diagram, Mollier chart, Steam cycles - Rankine cycle, Modified Rankine cycle, Relative efficiency, Improvement in steam cycles - Reheat, Regenerative and Binary vapour cycle Steam Boilers: Types of boilers - Cochran boiler, Babcock and Wilcox boiler, Boiler Mountings and Accessories. Module 3: Compressors & Gas Turbines (9 hours) Compressors: Reciprocating air compressors - Work done and efficiency, Volumetric efficiency, Effect of clearance, Rotary compressors, Centrifugal and axial compressors. (simple problems) Gas turbines: Open and closed cycles, Ideal gas turbine cycle, Compressor and turbine efficiencies, Simple cycle with regeneration, Intercooling and reheating. (simple problems) Module 4: IC Engines & Alternate Fuels (9 hours) IC engines: Performance testing and Combustion in IC engines - Normal and abnormal combustion in SI and CI engines, Auto ignition, Pre ignition and detonation, Factors affecting detonation, Knocking in engine - Alternate fuels in IC engines - biodiesel, hydrogen, natural gas, LPG, alcohol - IC engine pollution and control. (basic concepts only) Module 5: Heat Transfer (9 hours) Heat transfer: Different modes of heat transfer - Fourier law, Newton’s law of cooling, Planck’s law, Kirchhoff’s law, Wien’s displacement law and Stefan Boltzmann’s law. (simple problems) Text Books 1. Ballaney, P. L. (2007). Thermal Engineering, Khanna Publishers.

2. Khurmi, R. S. & Khurmi, N. (2008). Steam Table: With Mollier Diagram in S.I.Units, 8th Edition, S Chand.

3. Nag, P. K. (2017). Engineering Thermodynamics, 6th Edition, McGraw Hill.

4. Rajput, R. K. (2018). Thermal Engineering, 10th Edition, Laxmi publications.

5. Rajput, R. K. (2019). Heat and Mass Transfer, 7th Edition, S Chand.

6. Rudramoorthy, R. (2017). Thermal Engineering, McGraw Hill.


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7. Sachdeva, R. C. (2017). Fundamentals of Engineering Heat and Mass Transfer, 5th Edition, New Age Science.

Reference Books 1. Bergman, T. L., Incropera, F. P., DeWitt, D. P., Lavine, A. S. (2011). Fundamentals of Heat and

Mass Transfer, 7th Edition, Wiley.

2. Cohen, H., Saravanamuttoo, H. I. H., Rogers, G. F. C., Straznicky, P., and Nix, A. C. (2019). Gas Turbine Theory, 7th Edition, Pearson.

3. Ganesan, V. (2002). Fundamentals of IC Engines, 2nd Edition, Tata McGraw Hill.

4. Holman, J. P. & Bhattacharyya, S. (2011). Thermodynamics, 11th Edition, McGraw Hill.

5. Moran, M. J., Shapiro, H. N., Boettner, D. D. & Bailey, M. B. (2011). Fundamentals of Engineering Thermodynamics, 7th Edition, Wiley.


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No Topic No. of

Lecture hours 1 Introduction to Thermodynamics (9 hours)

1.1 Basic concepts of thermodynamics, Laws of Thermodynamics and corollaries

3 hours

1.2 First and second law applied to open and closed systems 2 hours 1.3 Entropy, availability and unavailability 2 hours 1.4 Ideal and real gas equations, thermodynamic relations 2 hours 2 Steam engineering(9 hours)

2.1 T- S diagram, Mollier chart 2 hours 2.2 Steam cycles- Rankine cycle, Modified Rankine cycle, Relative

efficiency, Improvement in steam cycles-Reheat, Regenerative and Binary vapour cycle

4 hours

2.3 Steam Boilers: Types of boilers –Cochran boiler, Babcock and Wilcox boiler, Boiler Mountings and Accessories

3 hours

3 Compressors and gas turbines (9 hours) 3.1 Reciprocating air compressors- work done and efficiency, volumetric

efficiency, effect of clearance 3 hours

3.2 Rotary compressors, centrifugal and axial compressors 1 hour 3.3 Gas turbines-open and closed cycles. Ideal gas turbine cycle, compressor

and turbine efficiencies 3 hours

3.4 Simple cycle with regeneration, intercooling and reheating 2 hours 4 IC engines & Alternate fuels (9 hours)

4.1 Performance testing of IC engine 2 hours 4.2 Combustion in IC engines- Normal and abnormal combustion in SI and

CI engines, auto ignition- pre ignition and detonation- factors affecting detonation, knocking in engine

3 hours

4.3 Alternate fuels in IC engines- biodiesel, hydrogen, natural gas, LPG, Alcohol

2 hours

4.4 IC engine pollution and control (basic concepts only) 2 hours 5 Heat Transfer (9 hours)

5.1 Different modes of heat transfer, ( Fourier law, Newton’s law of cooling). (simple problems)

4 hours

5.2 Planck’s law, Kirchoff’s law. (simple problems) 3 hours 5.3 Wien’s displacement law and Stefan Boltzmann’s law. (simple

problems) 2 hours

Total 45 hours


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IET 307

OBJECT ORIENTED PROGRAMMING CATEGORY L T P CREDIT

PCC 3 1 0 4

PREAMBLE

This course helps the students to understand the concepts of object oriented programming and techniques. It provides an overview of object oriented programming paradigm and its methodology, introduces numerical methods for solving mathematical problems and develop computer programs for solving mathematical problems.

PREREQUISITE

EST102 PROGRAMMING IN C

COURSE OUTCOMES

After the completion of the course the student will be able

CO1 Understand basic concepts of object oriented programming techniques

CO2 Apply object oriented programming concepts using C++

CO3 Understand basic concepts of numerical methods used for solving mathematical problems

CO4 Develop object oriented computer programs using numerical methods for solving mathematical problems




CO1 2 2

CO2 2 2 3 2

CO3 2 2 2

CO4 2 2 2 2 3 2



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ASSESSMENT PATTERN


Test 1 Test 2

Remember 10 10 10

Understand 20 20 20

Apply 20 20 70

Analyse

Evaluate

Create

Mark distribution




150 50 100 3 hours

Continuous Internal Evaluation Pattern

Attendance : 10 marks Continuous Assessment Test (2 numbers) : 25 marks Assignment/Quiz/Course project : 15 marks

End Semester Examination Pattern

There will be two parts; Part A and Part B. Part A contain 10 questions with 2 questions from each module, having 3 marks for each question. Students should answer all questions. Part B contains 2 questions from each module of which student should answer any one. Each question can have maximum 2 sub-divisions and carry 14 marks.


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COURSE LEVEL ASSESSMENT QUESTIONS

Course Outcome 1 (CO1)

1. Write a C++ program to multiply two matrices2. Write a C++ program to print all prime numbers below an entered value.3. Implement a function to find square root of an input value


1. Differentiate Procedure oriented and Object oriented Programming strategy2. Differentiate the following with examples class, objects, member functions, data member3. Explain base class and derived class

Course Outcome 3(CO3):

1. Write a program to overload operator ‘+’ to enable addition of complex numbers.2. Implement a class with constructor and destructor3. Write a C++ program to implement class inheritance

Course Outcome 4 (CO4):

1. Solve system of equations using Gauss Seidel method.2. Fit a straight line for a given set of data.3. Find the Lagrange interpolation polynomial which agrees with given data set.


1. Write a C++ program to fit a straight line to a set of data2. Write a C++ program to solve system of algebraic equations3. Write a C++ program to find root of equation using bisection Method


1. Prepare a C++ program to manage employee details of a company2. Prepare a C++ program for inventory management in a company3. Prepare a C++ program to predict the prize variation of a company share in stock marks and conduct

a study on feasibility of the developed programme using actual data from market.


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COURSE CODE: IET 307 COURSE NAME: OBJECT ORIENTED PROGRAMMING


PART A Answer all questions, each carries 3 marks.

1. Explain function overloading with help of examples.2. Write a C++ programme to print all the prime numbers below an entered value.3. What are access specifiers in C++ and explain how they are used for achieving OOPS concepts.4. Explain inheritance with help of an example5. What is data hiding how it is implemented in C++6. Explain any method to initialize the class variables7. List and explain different source of errors in numerical methods8. Differentiate Gauss Jordan and Gauss Seidel iterative methods9. Compare convergence of Regular-falsi method and Newton-Raphson method.10. Write a C++ programme to find root of an equation using Bisection method

PART B Answer any one full question from each module, each question carrries14 marks.

Module 1

11 a. Write a C++ programme to receive a 5x5 matrix and to print transpose of it. (10marks)b. List different data types in C++ (4marks)

Or

12 a. Implement function overloading with help of an example (10marks) b. What is recursion? Explain with an example (4marks)

Module 2

13 a. Explain inheritance with an example (10marks) b. What are the accesses specifies in C++ (4marks)

Or

14 a. Wrtite a C++ class with two data members and two member functions to receive and display data to data members. (10marks)

b. Differentiate Class and objects with examples (4marks)

Module 3


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15 a. Write a C++ class with constructers (10marks) b. Explain concept of data encapsulation in OOPs (4marks)

Or

16 a.Write a C++ class to overload operator ‘+’ such that it can be used for adding two vectors(10marks)

b. Explain constructers and destructors and its uses (4marks)

Module 4

17 a. Use Gauss elimination method to solve the following system of equations4x1 + x2 - x3 = -2, 5x1 + x2 + 2x3 = 4, 6x1 + x2 + x3 = 6 (14marks)

Or

18 Write a C++ to solve the following system of equation using any numerical method 4x1 + x2 - x3 = -2, 5x1 + x2 + 2x3 = 4, 6x1 + x2 + x3 = 6 (14marks)

Module 5

19 Evaluate the intergral

Using Simpsons 1/3rd rule and trapezoidal rule (14marks)

Or

20 Use the Newton-Raphson’s method to find the roots of the following nonlinear polynomial equation x4 - 2x3 + x2 - 3x + 3 = 0 (14marks)


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SYLLABUS Module 1: Fundamentals of C++ (8 hours) Introduction to C++: Structure of C++ program; Keywords; Identifiers; Data types, Operators, Statements, Control statements: if, if-else, switch, for, while, do-while, break and continue statements, Arrays – one dimensional & two dimensional; Functions: inline functions, function over loading, Functions with default arguments, recursion. Basics of Pointers. Function call by value, call by reference Simple programs using the above features Module 2: OOP fundamentals (8 hours) Introduction to Class and Object- definition, data members, member function. private & public member functions, member access, friend declaration, class objects. Inheritance- base class and derived class. Simple programs using the above features. Module 3: OPP Concepts (8 hours) Comparison of procedure-oriented programming (POP) and object-oriented programming (OOP). Fundamental concepts of object-oriented programming: abstraction, encapsulation, modularity, data hierarchy through inheritance and polymorphism. Operators overloading in C++. Class methods and class friends in C++. Initialization and assignment for objects. Constructors and destructor in C++ classes. Simple programs using the above features. Module 4: Numerical Methods 1 (8 hours) Errors and approximations, sources of errors. Solution of linear system of equations: Gauss elimination, Gauss-Jordan and Gauss–Seidel methods. Curve fitting: method of least squares. Solution of Partial differential equations: classification, Laplace equation, Finite difference method. Numerical problems and preparation of computer programs for the above methods using OPP concepts. Module 5: Numerical Methods 2 (8 hours) Finding roots of an equation by Bisection algorithm, Regular-falsi method and Newton-Raphson method. Interpolation: Lagrange interpolation. Integration: Mathematical Foundation for Trapezoidal and Simpson’s 1/3rd rule. Numerical problems and preparation of computer programs for the above methods using OPP concepts. Text Books 1. Balagurusamy, E. (1999). Numerical Methods, McGraw Hill.

2. Balagurusamy, E. (2013). Object Oriented Programming with C++Computer Programming, 6th Edition, McGraw Hill.

3. Jain, M. K., Iyengar, S. R. K., and Jain, R. K. (2003). Numerical Methods for Scientific and Engineering Computation, 4th Edition, New Age International.


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4. Jose, S. (2017). Computer Programming and Numerical Methods, 2nd Edition, Pentagon.

Reference Books

1. Bjarne, S. (2013). The C++ Programming Language, 4th Edition, Addison-Wesley.

2. Gerald, C. F. & Wheatley, P. O. (2004). Applied Numerical Analysis, 7th Edition, Pearson.

3. Sutter, H. (2004). Exceptional C++ Style, 1st Edition, Addison-Wesley.


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No Contents No. of Lectures

1 Fundamentals of C++ (8 hours)

1.1 Introduction to C++: Structure of C++ program; Keywords; Identifiers 1 hour 1.2 Data types, Operators, Statements 1 hour

1.3 Control statements: if, if-else, switch, for, while, do-while, break and continue statements

1 hour

1.4 Arrays – one dimensional & two dimensional; Functions: inline functions, function over loading, Functions with default arguments, recursion

2 hours

1.5 Basics of Pointers. Function call by value, call by reference 1 hour 1.6 Simple programs using the above features 2 hours 2 OOP fundamentals (8 hours)

2.1 Introduction to Class and Object- definition, data members, member function

3 hours

2.2 private & public member functions, member access 1 hour 2.3 class objects. Inheritance- base class and derived class 1 hour 2.4 Simple programs using the above features 3 hours 3 OPP Concepts (8 hours)

3.1 Comparison the concepts of procedure-oriented programming (POP) and object-oriented programming (OOP)

1 hour

3.2 Fundamental concepts of object-oriented programming OOP): abstraction, encapsulation, modularity, data hierarchy through inheritance and polymorphism

2 hours

3.3 Operators overloading in C++. Class methods and class friends in C++. 2 hours

3.4 Initialization and assignment for objects . Initialization and assignment for objects. Constructors and destructor in C++ classes

1 hour

3.5 Simple programs using the above features 2 hours 4 Numerical Methods 1 (8 hours)

4.1 Errors and approximations, sources of errors. Solution of linear system of equations: Gauss elimination

1 hour

4.2 Gauss-Jordan and Gauss–Seidel methods 1 hour 4.3 Curve fitting: method of least squares 1 hour

4.4 Solution of Partial differential equations: classification, Laplace equation, Finite difference method

2 hours

4.5 Numerical problems and preparation of computer programs for the above methods using OPPS concepts.

3 hours

5 Numerical Methods 2 (8 hours)

5.1 Finding roots of an equation by Bisection algorithm, Regular-falsi method and Newton-Raphson method.

2 hours

5.2 Interpolation: Lagrange interpolation 1 hour

5.3 Integration: Mathematical Foundation for Trapezoidal and Simpson’s 1/3rd rule

2 hours

5.4 Numerical problems and preparation of computer programs for the above methods using OPPS concepts.

3 hours

Total 40 hours


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IEL 331

THERMAL ENGINEERING LAB CATEGORY L T P CREDIT

PCC 0 0 3 2

PREAMBLE This lab enhances practical skills in thermal engineering domain by applying their theoretical knowledge acquired.

PREREQUISITE NIL

COURSE OUTCOMES After the completion of the course the student will be able to CO 1 Understand the various types of IC engines and its parts

CO 2 Evaluate the performance of IC engines

CO 3 Evaluate the performance of compressors

CO 4 Evaluate the performance of blowers

CO 5 Familiarize equipment used for measuring viscosity, flash and fire point, and calorific value of petroleum products


Refer: Page 3 for PO information. PO1 PO 2 PO 3 PO 4 PO 5 PO 6 PO 7 PO 8 PO 9 PO10 PO11 PO12

CO 1 3 3 2 2

CO 2 3 2 1 3 2 2

CO 3 3 2 1 3 2 2

CO 4 3 2 1 3 2 2

CO 5 2 1 1 3 2 2



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ASSESSMENT PATTERN Mark distribution




150 75 75 2.5 hours Continuous Internal Evaluation Pattern: Attendance :15 marks Continuous Assessment : 30 marks Internal Test (Immediately before the second series test) : 30 marks End Semester Examination Pattern The following guidelines should be followed regarding award of marks (a) Preliminary work : 15 Marks (b) Implementing the work/Conducting the experiment : 10 Marks (c) Performance, result and inference (usage of equipments and trouble shooting) : 25 Marks (d) Viva voce : 20 marks (e) Record : 5 Marks General instructions Practical examination to be conducted immediately after the second series test covering entire syllabus given below. Evaluation is a serious process that is to be conducted under the equal responsibility of both the internal and external examiners. The number of candidates evaluated per day should not exceed 20. Students shall be allowed for the University examination only on submitting the duly certified record. The external examiner shall endorse the record.


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LIST OF EXPERIMENTS Lab experiments may be given considering 12 sessions of 3 hours each. 10 experiments are mandatory 1. Determination of flash and fire points of petroleum products -flash and fire point apparatus 2. Determination of viscosity of lubricating oil- viscometer 3. Determination of calorific value of solid and liquid fuels- calorimeter 4. Determination of calorific value of and gaseous fuels - calorimeter 5. Performance test on petrol engines with various types of loading systems 6. Performance test on diesel engines with various types of loading systems 7. Heat Balance test on petrol/diesel engines 8. Cooling curve of IC engines 9. Valve timing diagram of IC engines 10. Economic speed test on IC engines 11. Retardation test on IC engines 12. Determination of volumetric efficiency and air-fuel ratio of IC engines 13. Morse test on petrol engine 14. Performance test on reciprocating compressor 15. Performance test on rotary compressor/blower 16. Draw velocity profile in a pipe flow using Prandtl -Pitot tube 17. Analysis of automobile exhaust gas and flue gas using exhaust gas analyser Reference Books 1. Ballaney, P. L. (2007). Thermal Engg, Khanna Publishers, 2007 2. Nag, P. K. (2013). Engineering Thermodynamics, McGraw Hill, 2013 2. 3. Rajput, R. K. (2015). Heat and mass transfer, S.Chand & Co. 4. Rajput, R. K. (2018). Thermal Engineering, 10th Edition, Laxmi publications. 5. Sachdeva, R. C. (2009). Fundamentals of Engineering Heat and Mass Transfer, New Age Science.


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IEL333 OBJECT ORIENTED

PROGRAMMING LAB CATEGORY L T P CREDIT

PCC 0 0 3 2

PREAMBLE The aim of this course is to make the students gain programming skills for appropriate decision making in various industrial engineering areas.

PREREQUISITE EST 102 PROGRAMMING IN C


CO 1 Understand the basic features of C++ programming language

CO 2 Apply the basic concepts in C++ like Class and objects, data structures, memory management techniques

CO 3 Develop object oriented computer programs using numerical methods for solving mathematical problems



CO 1 2 2 3 3 3

CO 2 2 2 3 3 3 3

CO 3 2 2 3 3 3 3



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150 75 75 2.5 hours Continuous Internal Evaluation Pattern Attendance : 15 marks Continuous Assessment : 30 marks Internal Test (Immediately before the second series test) : 30 marks End Semester Examination Pattern The following guidelines should be followed regarding award of marks (a) Preliminary work : 15 Marks (b) Implementing the work/Conducting the experiment : 10 Marks (c) Performance, result and inference (usage of equipments and trouble shooting) : 25 Marks (d) Viva voce : 20 marks (e) Record : 5 Marks General instructions Practical examination to be conducted immediately after the second series test covering entire syllabus given below. Evaluation is a serious process that is to be conducted under the equal responsibility of both the internal and external examiners. The number of candidates evaluated per day should not exceed 20. Students shall be allowed for the University examination only on submitting the duly certified record. The external examiner shall endorse the record.


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LIST OF EXPERIMENTS The experiments in this course would relate to programming using object oriented languages such as C++, Java, Python, PHP etc. The focus of the experiments would be on understanding the basic concepts and features of object oriented programming languages. The programs would deal with data related to general management and various functional areas such as marketing, finance, operations and supply chain management. Minimum 10 experiments shall be completed. Typical exercises include; 1. Simple C++ Program to implement various control structures 2. Program to understand Structure and Union 3. Program to understand Pointer concepts 4. Function & Recursion 5. Program to understand different function call mechanism 6. Program to understand storage specifiers 7. Constructors and Destructors 8. Use of using this pointer using class 9. Program to implement Inheritance and Function overriding 10. Program to implement Polymorphism concepts 11. Program to Overload Unary and Binary operators as member function & Non member function. 12. Program to understand Friend function & Friend classes 13. Program on class templates 14. Program on Numerical solution to Differential equations. 15. Program on Numerical solution to Interpolation 16. Program to implement Matrix multiplication and find the Determinent using class concepts. 17. Program on file handling concepts in C++ 18. Program to implement error handling systems in C++ @Note: Free and open source, trial or free academic version of the software package may be used. Reference Books 1. Balagurusamy, E. (2021). Object Oriented Programming with C++, 8th Ed, McGraw Hill Education.

2. Jain, M. K., Iyengar, S. R. K., & Jain, R. K. (2019). Numerical Methods for Scientific and Engineering Computation, New Age International.

3. Jose, S. (2015). Computer Programming and Numerical Methods, Pentagon Educational Services.

4. Timothy, B. (2008). Introduction to Object-Oriented Programming, Pearson Education, 2008.

SEMESTER V MINOR


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IET381 DECISION SCIENCES CATEGORY L T P CREDIT

VAC 3 1 0 4

PREAMBLE This course presents a blend of mathematics, data exploration and analysis techniques and machine learning techniques to the students for a better understanding of decision making process and decision tools used for it.

PREREQUISITE Nil


CO 1 Examine the concepts and methods of mathematical disciplines relevant to data analytics and statistical modeling.

CO 2 Illustrate data collection methods and data exploration methods

CO 3 Illustrate statistical tools for data-driven solutions for business applications

CO 4 Explain operations research methods for data-driven solutions for business applications

CO 5 Explain data mining and data analytics concepts for business applications




CO1 3 2

CO2 3 2 1 2

CO3 3 3 2 1 2 2

CO4 2 2 1 1 2

CO5 2 2 1 1



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ASSESSMENT PATTERN Bloom’s Category Continuous Assessment Tests End Semester Examination

1 2 Remember 10 10 10 Understand 20 20 20 Apply 20 20 70 Analyse Evaluate Create Mark distribution




150 50 100 3 hours



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COURSE LEVEL ASSESSMENT QUESTIONS Course Outcome 1 (CO1)

1. A is a real matrix of the order 3 x 3 and . What can you say about the solution of A X = 0 if

rank of A is 1. 2. Express the probability density function of normal distribution. 3. A random variable has a normal distribution with standard deviation 10. If the probability that it will

take on a value less than 82.5 is 0.82, what is the probability that it will take on a value more than 58.3?

Course Outcome 2 (CO2) 1. What are the different data collection methods? 2. What are the different tools to summarize and visualize a data set? 3. Draw a box-and-whisker plot for the data set {3, 7, 8, 5, 12, 14, 21, 15, 18, 14}. Course Outcome 3 (CO3) 1. Explain the different types of correlation. 2. When is ANOVA technique used? 3. What is the software tools used for statistical analysis? Course Outcome 4 (CO4) 1. What are the different operations research methods? 2. Where is queuing theory applied? 3. What are the steps in making a decision tree? Course Outcome 5 (CO5) 1. What are the different types of data analysis? 2. What are the latest applications of machine learning applications? 3. What are the key features of in current data analytics software?


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COURSE CODE: IET381

COURSE NAME: DECISION SCIENCES


PART A Answer all Questions. Each question carries 3 Marks

1. Determine the rank of the matrix

2. What is normal distribution? List its parameters. 3. Write a short note on different methods of data collection. 4. Write a short note on data visualization techniques. 5. Explain the different types of correlation. 6. Write a short note on factor analysis. 7. List out six operations research tool and an application for each. 8. What are the steps in making a decision tree? 9. Write a short note on different types of data analysis. 10. Write a short note on latest software tools for data analytics.

PART B


Module 1

11. (a) Solve the following system of equations (7 Marks)

(b) Find the eigen values and eigen vectors of the matrix (7 Marks)

Or

12. (a) The IQ of an individual randomly selected from a population is a normal distribution with mean

100 and standard deviation 15. Find the probability that an individual has IQ (i) above 140 (ii) between 120 and 130. (7 Marks)

(b) A continous random variable X is uniformly distributed with mean 1 and variance 4/3. Find

P(X < 0). (7 Marks)


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Module 2

13. Consider the following data which represents the age (14 marks)

19 17 15 20 23 41 33 21 18 20 18 33 32 29 29 24 19 18 20 17 22 55 19 22 25 28 30 44 19 20 39 (i) Construct a frequency distribution with intervals, 15-19, 20-24, 25-29, 30-34 and above 35(ii) Compute mean and standard deviation(iii) Draw a histogram

Or

14. Consider the following sample data set (14 marks)

23, 26, 29, 30, 32, 34, 37, 45, 52, 57, 80, 93, 102, 121, 134, 147, 210, 256, 355, 414, 618, 782

(i) Find the mean, median, mode and the interquartile range of the above data(ii) Find the variance and standard deviation.(iii) Draw a box-and-whisker plot for the data set

Module 3

15. (i) What is linear regression and multiple linear regression. Provide its mathematical expression.(6 marks)

(ii) The weights of a calf taken at weekly intervals are given below. Fit a straight line using themethod of least squares and calculate the average rate of growth per week.

Age 1 2 3 4 5 6 7 8 9 Weight 52 58 65 70 75 81 87 95 101

Or

16. Draw a scatter plot for the data set given below. From the following data obtain the Pearson’s coefficient of correlation. (14 marks)

X 10 15 12 17 13 16 24 14 22 24 22 Y 30 42 35 40 33 34 40 38 39 35 48

Module 4

17. (i) Discuss application of OR models. State the limitation of OR models in decision making(10 marks)

(ii) Give the mathematical formulation of an assignment problem. (4 marks)

Or

18. (i) What are the basic characteristics of a queuing system? State the features of a multiple channel queuing model. (10 marks)

(ii) Define group replacement. State some of the simple replacement policies. (4 marks)


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Module 5

19. (i) Explain the functioning of a neural network. Discuss the types of neural networks used in machine learning. (10 marks) (ii) What is big data? What are the characteristics of big data? (4 marks)

Or

20. (i) What is Machine learning? Differentiate between supervised and unsupervised Learning

(10 marks) (ii) What is data mining? List its applications (4 marks)


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SYLLABUS

Module 1: Basic Mathematics (6 hours) Linear Algebra, Vectors, Matrices. (Simple problems) Probability - Dependence and Independence, Conditional Probability, Bayes’s Theorem, Random Variables, Continuous Distributions, Normal Distribution. (Simple problems) Module 2: Data Collection and Exploration (8 hours) Method of data collection, primary and secondary data, observation method, interview method, questionnaire method. (Concept only) Exploring your data – Data summarization, Data visualization, Cleaning and Munging, Rescaling, Data reduction. (Simple problems) Software tools for data exploration and visualization. Module 3: Statistical Analysis (11 hours) Correlation, Simple Linear Regression, Multiple Regression, Logistic Regression, ANOVA, Fitting the Model, Interpreting the Model, Goodness of Fit. (Simple problems) Factor Analysis, Multi-Dimensional Scaling, Cluster Analysis, Discriminant Analysis and Conjoint Analysis (Concept only) Software tools for statistical analysis. Module 4: Operations research (9 hours) Operations research Applications; Models for solving Operations Research Models - Linear Programming models, Transportation Problems, Assignment Problems, Queuing theory, Game theory, Decision Trees, Replacement analysis. (Concepts only, Mathematical formulations expected) Software tools for Operations Research. Module 5: Data Analytics (11 hours) Data analysis, Types of data analysis - Descriptive, predictive, diagnostic and prescriptive; Introduction to data science, data mining and big data analytics. (Concepts only) Machine learning concepts - Neural Networks, Perceptrons, Feed-Forward Neural Networks, Back propagation, Supervised and Unsupervised Learning methods, Clustering; Deep learning. (Concepts only) Software tools for data analytics.


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Text Books 1. Devore, J. L. (2012). Probability and Statistics for Engineering and the Sciences, 8th Edition,

Cengage.

2. Dietrich, D. (2015). Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data, John Wiley & Sons.

3. Dunham, M. H. (2006). Data Mining: Introductory and Advanced Topics, Pearson Education India.

4. Hira, D. S. and Gupta, P. K. (2015). Operations Research, S. Chand and Sons.

5. Kothari C. R. And Garg G. (2019). Research Methodology, 4th Edition, New Age.

6. Levin, I. R., Siddiqui, M. H., Rubin, D. S. and Rastogi, S. (2017). Statistics for Management, 8th Edition, Pearson Education India.

7. Vohra, N. D. (2007). Quantitative Methods in Management, TMH. Reference Books 1. Carlberg, C. (2012). Predictive Analytics: Microsoft Excel, 1st Edition, Que Publishing.

2. Hillier, F. S. and Lieberman, G. J. (2005). Introduction to Operations Research, Tata McGraw Hill.

3. Ledolter, J. (2013). Data Mining and BusinessAanalytics with R, 1st Edition, John Wiley & Sons.

4. Witten, I. H., Frank, E., Hall, M. A. (2011). Data Mining: Practical Machine Learning Tools and Techniques, 3rd Edition, Morgan Kaufmann.

5. Zinoriev, D. (2016). Data Science Essentials in Python, 1st Edition, O′Reilly.


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No Topic No. of Lectures 1 Basic Mathematics (6 hours)

1.1 Linear Algebra, Vectors, Matrices 2 hours 1.2 Probability -Dependence and Independence, Conditional Probability,

Bayes’s Theorem 2 hours

1.3 Continuous Distributions, Normal Distribution 2 hours 2 Data collection and exploration(8 hours)

2.1 Method of data collection, primary and secondary data, observation method, interview method, questionnaire method

2 hours

2.2 Data visualization 2 hours 2.3 Cleaning and Munging, Rescaling, Data reduction 2 hours 2.4 Software tools for data exploration and visualisation 2 hours 3 Statistical Analysis (11 hours)

3.1 Correlation 1 hour 3.2 Simple Linear Regression 2 hours 3.3 Multiple Regression, Logistic Regression 2 hours 3.4 ANOVA 2 hours 3.5 Fitting the Model, Interpreting the Model, Goodness of Fit 1 hour 3.6 Factor Analysis, Multi-Dimensional Scaling, Cluster Analysis,

Discriminant Analysis and Conjoint Analysis 2 hours

3.7 Software tools for statistical analysis. 1 hour 4 Operations research (9 hours)

4.1 Operations research Applications; Models for solving Operations Research Models

2 hours

4.2 Linear Programming models, Transportation Problems, Assignment Problems

2 hours

4.3 Queuing theory, Game theory 2 hours 4.4 Decision Trees, Replacement analysis 2 hours 4.5 Software for Operations Research 1 hour 5 Data Analytics (11 hours)

5.1 Data analysis, Types of data analysis - Descriptive, predictive, diagnostic and prescriptive

1 hour

5.2 Introduction to data science, data mining and big data analytics 2 hours 5.3 Machine learning concepts - Neural Networks, Perceptron’s, Feed-

Forward Neural Networks, Back propagation 2 hours

5.4 Supervised and Unsupervised Learning methods 2 hours 5.5 Clustering 1 hour 5.6 Deep learning 1 hour 5.7 Software for data analytics 2 hours

Total 45 hours

SEMESTER V HONOURS


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IET393 FINANCIAL REPORTING AND

ANALYSIS CATEGORY L T P CREDIT

VAC 3 1 0 4

PREAMBLE This course helps the students to provide an introduction to financial statements, their analyses and applications in financial performance measurement.

PREREQUISITE NIL

COURSE OUTCOMES After the completion of the course the student will be able to CO 1 Understand scope, framework and standards in financial statement and reporting

CO 2 Identify components, format and analysis of income statements and balance sheet

CO 3 Identify components, format, linkage and analysis of cash flow statements

CO 4 Choose ratios and techniques for financial analysis decisions and business segments

CO 5 Demonstrate inventory valuation, income tax recognition and financial reporting quality



PO 1 PO 2 PO3 PO 4 PO 5 PO 6 PO 7 PO 8 PO 9 PO10 PO11 PO12

CO 1 1 1 2 3 1

CO 2 1 3 1 1 3 1

CO 3 1 3 1 1 3 1

CO 4 1 3 2 1 1 3 1

CO 5 1 1 2 3 1



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ASSESSMENT PATTERN


Test 1 Test 2

Remember 10 10 10

Understand 20 20 20

Apply 20 20 70

Analyse

Evaluate

Create

Mark distribution




150 50 100 3 hours



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COURSE LEVEL ASSESSMENT QUESTIONS Course Outcome 1 (CO1) 1. List out and explain the major financial statements. 2. Explain about major financial reporting standards. 3. Develop a model for financial statement analysis framework and reporting. Course Outcome 2 (CO2) 1. How earnings per share is estimated from an income statement? 2. List out and explain the components of income statement and balance sheet. 3. Select an income statement / balance sheet and analyse the same using different techniques. Course Outcome 3 (CO3) 1. Classify the components of cash flow statements. 2. Choose a cash flow statement and link with the income statement and balance sheet. 3. Select cash flow statements of three consecutive years and conduct any common size analysis. Course Outcome 4 (CO4) 1. List out and discuss common ratios used in financial analysis. 2. Choose a business and build a model for segments reporting. 3. Describe the steps for integrated financial ratio analysis and apply the same on a case. Course Outcome 5 (CO5) 1. Illustrate the important inventory valuation methods. 2. Discuss about income taxes recognition including measurement of current and deferred tax. 3. Choose few financial statements and evaluate past & future financial performance.


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APJ ABDUL KALAM TECHNOLOGICAL UNIVERSITY

FIFTH SEMESTER B.TECH DEGREE EXAMINATION

COURSE CODE: IET393 COURSE NAME: FINANCIAL REPORTING AND ANALYSIS



1) List out and explain the features of major financial statements.2) Explain about any two major financial reporting standards.3) How earnings per share (EPS) is estimated from an income statement? Explain.4) Explain the components of a balance sheet.5) Classify the components of cash flow statement with an example.6) Discuss about any two important common size analysis techniques.7) Distinguish between coverage and leverage ratios used in financial analysis.8) Explain about business segments reporting.9) Illustrate the important inventory valuation methods.10) Discuss about common accounting shenanigans. (10x3=30 marks)

PART B Answer any one full question from each module. Each full question carries 14 Marks

Module 1

11) (a) List out the important scopes of financial statement analysis and describe them in detail.(7 marks)

(b) Identify the major financial statements and explain their major components.(7 marks)

Or

12) (a) Identify and explain the important phases / steps of financial statement analysis.(7 marks)

(b) List out and explain about any two standard setting bodies and regulatory authorities in financialreporting. (7marks)

Module 2

13) (a) Identify and describe major components of income statement. Also state the purpose of it.(7 marks)


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(b) Prepare an account form of balance sheet with following financial data as on 31.03.21.and make a brief comment on the prepared balance sheet.

i) Equity Shares : Rs. 2,10,000/- v) Bills Payables : Rs. 1,05,000/- ii) Land : Rs. 1,35,000/- vi) Cash in Bank : Rs. 0,60,000/- iii) Bills Receivables : Rs. 0,23,000/- viii) Creditors : Rs. 1,00,000/- iv) Building : Rs. 3,12,000/- viii) Long Term loan : Rs. 2,15,000/-

(7 marks)

Or

14) (a) Explain in detail the measurement bases of long-lived assets such as property, plant and equipment. (7 marks)

(b) Using the following financial elements formulate an income statement in account form and also makea brief comment on the prepared statement.

i) Sales : Rs. 98,000/- v) Rent received : Rs. 20,000/- ii) COGS : Rs. 44,000/- vi) Interest Paid : Rs. 05,000/- iii) Depreciation : Rs. 05,000/- viii) Advertisement : Rs. 07,000/- iv) Dividends : Rs. 12,000/- viii) Rent Paid : Rs. 25,000/-

(7 marks)

Module 3

15) (a) Discuss the direct and indirect methods for presenting operating cash flows for a cash flow statement (CFS). (7 marks)

b) Explain how activities in cash flow statements are classified and the procedural steps of linking them to balance sheet. (7 marks)

Or

16) (a) Discuss the procedural steps for preparing cash flow statement & explain the common size analysis used for comparing two cash flow statements. (7 marks)

b) Distinguish between free cash flow to the firm (FCFF) and free cash flow to equity (FCFE) with examples. (7 marks)

Module 4

17) (a) Discuss about segment ratios, model building and forecasting in financial analysis process.(7 marks)

(b) Given below is the cash flow statement of M/s ABC Ltd. for the year ended March 31, 2021. Choose& find all possible performance ratios and coverage ratios related to the CFS.Give proper inferences. (Amt. in Rupees)

Cash flows from operating activities: Received from sales to customers 15,00,000 Interest income received 30,000 Payment for inventory 7,80,000 Payment to employees 2,60,000 Net increase from operating activities 4,90,000


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Cash flows from investing activities: Received from sale of property, plant, and equipment 1,00,000 Payment for stock of another company 1,50,000 Payment for purchase of equipment 2,00,000 Net decrease from investing activities 2,50,000

Cash flows from financing activities: Received from loans from banks 1,50,000 From issuance of common stock 1,50,000 From issuance of bonds 1,00,000 Payment of dividends 1,20,000 Net increase from financing activities 2,80,000 Net increase in cash 5,20,000

(7 marks)

Or

18) (a) Using integrated financial ratio analysis, express and explain ROE in terms of different strategies.(7 marks)

(b) Find the important activity, solvency and valuation ratios on the following BS of M/s VRKCorporation Ltd. as on 31 March 2021 and give inferences. (Amount rupees in Lakhs)

---------------------------------------------------------------------------------------------------------------- M/s VRK Corporation Limited

Balance Sheet as on 31 March 2021. (Amount Rs. in Lakhs)

-------------------------------------------------------------------------------------------------------------- ASSETS Current assets Cash in Bank 14.00 Cash in Hand 38.00 Short-term investments 11.00 Accounts receivable 17.00 Inventories 13.00 Supplies 02.00 Prepaid insurance 03.00 Total current assets 98.00 Non-current Assets Investment in bonds 09.00 Investment in real estate 12.00 Property, plant, and equipment 34.00 Land 04.00 Office equipment 00.40 Less: Accumulated depreciation (-) 00.40 Intangible assets 10.00 Patents 02.00 Total non-current assets 72.00 Total assets 170.00

=====

LIABILITIES


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Current liabilities Notes payable 07.00 Accounts payable 09.00 Salaries payable 01.00 Wages payable 01.00 Rent Payable 02.00 Interest payable 04.00 Total current liabilities 26.00 Long-term liabilities Mortgage payable 33.00 Notes payable long term 17.00

Stockholders' equity 45.00 Common stock 37.00 Retained earnings 12.00 Total long term liability 144.00

Total liabilities 170.00 ======

(7 marks)

Module 5

19) (a) Illustrate the influence of FIFO and LIFO in inventory valuation scenarios. Explain with an example. (7 marks)

(b) Explain about income taxes recognition included with measurement of current and deferred tax.(7 marks)

Or

20) (a) Explain the methods and techniques for evaluating past & future financial performance with different financial statements. (7 marks)

(b) Explain the concept of accounting shenanigans. List out and explain common accounting shenanigansin India. (7 marks)


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SYLLABUS

Module 1: Scope, Framework and Standards in Financial Statement and Reporting (9 hours)

Scope of major financial statements and other information sources. Financial statement analysis framework, financial reporting mechanics, accounts and financial statements. Financial reporting standards, standard setting bodies, regulatory authorities, international financial reporting standards framework and effective financial reporting.

Module 2: Components, Format and Analysis of Income Statements and Balance Sheet (9 hours)

Components and format of the income statement including revenue recognition, expense recognition, non-recurring items, non-operating items and earnings per share. Components and format of the balance sheet including current assets, current liabilities, non-current assets, non-current liabilities and equity. Analysis of the income statement and balance sheet using different techniques and methods.

Module 3: Components, Format, Linkage and Analysis of Cash Flow Statements (9 hours)

Components and format of cash flow statements. Linkages of the cash flow statement with the income statement and balance sheet. Analysis of cash flow statements, evaluation of the sources and uses of cash, common size analysis of the statement of cash flows, free cash flow to the firm and free cash ratios.

Module 4: Ratios and Techniques for Financial Analysis Decisions and Business Segments (9 hours)

Common ratios used in financial analysis including activity ratios, liquidity ratios, solvency ratios and profitability ratios. Integrated financial ratio analysis, equity analysis, credit analysis and expanded analysis. Business segments reporting requirements, model building, forecasting, personal financial statements and accounting for Government and not-for-profit organizations.

Module 5: Inventory Valuation, Income Tax Recognition and Financial Reporting Quality (9 hours)

Inventory valuation methods, measurement of inventory value, evaluation of inventory management and inventory ratios. Income taxes recognition including measurement of current and deferred tax, non-current liabilities, accounting profit and taxable income. Financial reporting quality including accounting shenanigans, evaluating past & future financial performance and adjustments to reported financials.

Text Books

1. Arora, R. K. (2018). Financial Accounting: Fundamentals, Analysis and Reporting, 2nd Edition,Wiley.

2. Gibson, C. H. (2010). Financial Reporting and Analysis, 12th Edition, South-Western CengageLearning.

Reference

1. Benninga, S. Z., & Sarig, O. H. (1997). Corporate Finance: A Valuation Approach. McGraw-HillSeries in Finance.

2. International Auditing and Assurance Standards Board (IAASB). (2018). 2018 Handbook ofInternational Quality Control, Auditing, Review, Other Assurance, and Related ServicesPronouncements, IAASB.


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3. Jerald E. P., Henry, E., Robinson, T. R., and Stowe, J. D. (2010). Equity Asset Valuation, 2nd Edition, John Wiley & Sons.

4. Hennie, V. G. and Sonja, B. B. (2020). Analyzing Banking Risk: A Framework for Assessing Corporate Governance and Risk Management, 4th Edition, World Bank.


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No Topic No. of

Lectures 1 Scope, Framework and Standards in Financial Statement and Reporting (9 hours)

1.1 Scope of major financial statements and other information sources. 3 hours

1.2 Financial statement analysis framework, financial reporting mechanics, accounts and financial statements.

3 hours

1.3 Financial reporting standards, standard setting bodies, regulatory authorities, international financial reporting standards framework and effective financial reporting.

3 hours

2 Components, Format and Analysis of Income Statements and Balance Sheet (9 hours)

2.1 Components and format of the income statement including revenue recognition, expense recognition, non-recurring items, non-operating items and earnings per share.

3 hours

2.2 Components and format of the balance sheet including current assets, current liabilities, non-current assets, non- current liabilities and equity.

3 hours

2.3 Analysis of the income statement and balance sheet using different techniques and methods.

3 hours

3 Components, Format, Linkage and Analysis of Cash Flow Statements (9 hours)

3.1 Components and format of cash flow statements. 3 hours

3.2 Linkages of the cash flow statement with the income statement and balance sheet

3 hours

3.3 Analysis of cash flow statements, evaluation of the sources and uses of cash, common size analysis of the statement of cash flows, free cash flow to the firm and free cash ratios.

3 hours

4 Ratios and Techniques for Financial Analysis Decisions and Business Segments (9 hours)

4.1 Common ratios used in financial analysis including activity ratios, liquidity ratios, solvency ratios and profitability ratios.

3 hours

4.2 Integrated financial ratio analysis, equity analysis, credit analysis and expanded analysis.

3 hours

4.3 Business segments reporting requirements, model building, forecasting, personal financial statements and accounting for Government and not-for-profit organizations.

3 hours

5 Inventory Valuation, Income Tax Recognition and Financial Reporting Quality (9 hours)

5.1 Inventory valuation methods, measurement of inventory value, evaluation of inventory management and inventory ratios.

3 hours

5.2 Income taxes recognition including measurement of current and deferred tax, non-current liabilities, accounting profit and taxable income.

3 hours

5.3 Financial reporting quality including accounting shenanigans, evaluating past & future financial performance and adjustments to reported financials.

3 hours

Total 45 hours


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IET395 MARKETING MANAGEMENT CATEGORY L T P CREDIT

VAC 3 1 0 4

PREAMBLE To impart knowledge on the fundamentals of marketing and marketing environment, understand the marketing planning process, learn the marketing mix and marketing research principles, gain knowledge on consumer behaviour patterns, give idea about new product development and formulate strategies for various communication channels of marketing.

PREREQUISITE NIL

COURSE OUTCOMES After the completion of the course the student will be able to CO 1 Describe key marketing concepts and terminologies for analyzing a variety of marketing

situations CO 2 List the various steps involved in developing the marketing plan, market segmentation and

market targeting principles CO 3 Explain marketing research, consumer behaviour and new product development process

CO 4 Develop effective marketing communication

CO 5 Explain pricing strategies and digital marketing



PO 1 PO 2 PO 3 PO 4 PO 5 PO 6 PO 7 PO 8 PO 9 PO10 PO11 PO12

CO1 1 3 2

CO2 1 3 2

CO3 2 2 3 3 2

CO4 2 3 3 3 2

CO5 2 3 2 3 2



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ASSESSMENT PATTERN


Test 1 Test 2

Remember 10 10 10

Understand 20 20 20

Apply 20 20 70

Analyse

Evaluate

Create

Mark distribution




150 50 100 3 hours



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COURSE LEVEL ASSESSMENT QUESTIONS Course Outcome 1 (CO1) 1. Explain the concept of market and marketing. 2. Discuss the orientations of the company towards market place. 3. Explain the various factors in a marketing environment. Course Outcome 2 (CO2) 1. Discuss the marketing planning process. 2. Demonstrate marketing mix strategy. 3. Explain the marketing segmentation and targeting principles Course Outcome 3 (CO3) 1. Explain market research process. 2. Demonstrate the consumer behaviour patterns. 3. Discuss the product life cycle and new product development process. Course Outcome 4 (CO4) 1. Describe the steps of effective marketing communication. 2. Discuss the various aspects to be considered under marketing communication. 3. Explain the various communication platforms. Course Outcome 5 (CO5) 1. Explain the various pricing strategies. 2. Demonstrate wholesaling, retailing and various distribution systems. 3. Discuss the latest marketing trends and online marketing.


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COURSE CODE: IET395

COURSE NAME: MARKETING MANAGEMENT



1. Explain the concept of market and marketing. 2. What do you mean by task environment? 3. Define Strategic Business Unit (SBU). 4. What is meant by marketing mix? 5. Discuss the need, scope and importance of marketing research. 6. What are the various steps of a new product development process? 7. What are the various steps in developing effective communication? 8. Differentiate advertising and sales promotion. 9. What are the various terms coming under promotional pricing? 10. Discuss on placing ads and promotion online.


Module 1

11. “Customer satisfaction is the core concept of marketing” – Discuss with suitable Indian examples.

Or

12. (a) Explain the customer and societal marketing concepts under company orientation towards the

market place. (7 marks) (b) Describe the components of overall marketing environment. (7 marks)

Module 2

13. Describe the steps involved in marketing planning process.

Or

14. Explain the patterns of market segmentation.

Module 3


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15. Describe the marketing research process with suitable examples.

Or

16. Explain in brief the marketing strategies under the first three stages of a product life cycle.

Module 4

17. Discuss briefly, the steps involved in developing effective communication.

Or

18. Describe the various aspects of developing and managing an advertising program.

Module 5

19. Elaborate on price discounts and allowances and promotional pricing.

Or

20. Explain in brief, the latest trends in marketing and e-business.


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SYLLABUS

Module 1: Introduction to marketing (7 hours)

Concept of market and marketing – marketing management – company orientations towards the market place – production, product, selling, marketing, customer and societal marketing concepts - marketing environment – task environment and broad environment

Module 2: Marketing planning, Marketing Mix, Segmentation and Targeting (9 hours)

Marketing planning – steps involved in marketing planning process – Strategic Business Units (SBUs) – marketing mix – variables – marketing mix strategy – market segmentation – patterns and procedures of market segmentation - bases for segmenting consumer markets – market targeting – evaluation and selection of target market

Module 3: Market Research, Consumer Behaviour, Product Life Cycle (10 hours)

Market research – need and scope – marketing research process – consumer markets and buyer behaviour – factors influencing buyer behaviour – Product Life Cycle (PLC) – marketing strategies – new productdevelopment

Module 4: Marketing Communication, Communication Platforms (9 hours)

Marketing communication – steps in developing effective communication - identification of target audience - determination of communication objectives -Designing the message - selecting the communication channels – decide on promotion mix - communication platforms – advertising, sales promotion, public relations, sales force and direct marketing

Module 5: Pricing Strategies and Programs, Retailing, Wholesaling, Digital Marketing (10 hours)

Pricing strategies and programs – setting the price – adapting the price – initiating and responding to price changes – Retailing, wholesaling and distribution systems – nature and importance of retailing, types of retailers – New trends in marketing – Digital marketing – changing marketing practices: e-business – B2C, B2B, C2C, C2B – setting up websites, placing ads and promotion online – Product packaging

Text Books 1. Kotler, P. (2004). Marketing Management Analysis, Planning, Implementation and Control, Prentice

Hall of India.

Reference Books 1. Chandrasekar, K. S. (2010). Marketing Management Text and Cases, 1st Edition, Tata McGraw Hill.

2. Ekzel, M., Walkar, B. J., Stanton, W. and Pandit, A. (2017). Marketing, 14th Edition, McGraw Hill.

3. Majumdar, R. (2005). Marketing Research, Text, Applications and Case Studies, New AgeInternational.

4. Ramaswamy, V. S., & Namkumari S. (2018). Marketing Management: Planning, Implementation andControl, SAGE.


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5. Stanton, W. J. (1995). Fundamentals of Marketing, McGraw Hill.


No Topic No. of Lectures 1 Introduction to Marketing (7 hours)

1.1 Concept of market and marketing – marketing management 2 hours 1.2 Company orientations towards the market place – production, product,

selling, marketing, customer and societal marketing concepts 3 hours

1.3 Marketing environment – task environment and broad environment 2 hours 2 Marketing Planning, Marketing Mix, Segmentation and Targeting (9 hours)

2.1 Steps involved in marketing planning process – Strategic Business Units (SBUs)

2 hours

2.2 Marketing mix – variables – marketing mix strategy 2 hours 2.3 Market segmentation – patterns and procedures of market segmentation

- bases for segmenting consumer markets 3 hours

2.4 market targeting – evaluation and selection of target market 2 hours 3 Market Research, Consumer Behaviour, Product Life Cycle (10 hours)

3.1 Market research – need and scope – marketing research process 3 hours 3.2 Consumer markets and buyer behaviour – factors influencing buyer

behaviour 3 hours

3.3 Product Life Cycle (PLC) – marketing strategies – new product development

4 hours

4 Marketing Communication, Communication Platforms (9 hours) 4.1 steps in developing effective communication - identification of target

audience - determination of communication objectives 2 hours

4.2 Designing the message - selecting the communication channels – decide on promotion mix

3 hours

4.3 communication platforms – advertising, sales promotion, public relations, sales force and direct marketing

4 hours

5 Pricing Strategies and Programs, Retailing, Wholesaling, Digital Marketing (10 hours) 5.1 Setting the price – adapting the price – initiating and responding to

price changes 3 hours

5.2 Retailing, wholesaling and distribution systems – nature and importance of retailing, types of retailers

3 hours

5.3 New trends in marketing - Online marketing - changing marketing practices: e-business - B2C, B2B, C2C, C2B - setting up websites, placing ads and promotion online - Product packaging

4 hours

Total 45 hours

SEMESTER VI


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SEMESTER 6

SLOT COURSE

NO COURSES L-T-P HOURS CREDIT

A IET302 SYSTEM MODELLING AND SIMULATION 3-1-0 4 4

B IET304 ADVANCED OPERATIONS RESEARCH 3-1-0 4 4

C IET306 DATA ANALYSIS 3-1-0 4 4

D IETXXX PROGRAM ELECTIVE I 2-1-0 3 3

E 1/2

HUT300 INDUSTRIAL ECONOMICS AND FOREIGN TRADE

3-0-0 3 3

HUT310 MANAGEMENT FOR ENGINEERS 3-0-0 3 3

F IET308 COMPREHENSIVE COURSE WORK 1-0-0 1 1

S IEL332 SIMULATION LAB 0-0-3 3 2

T IEL334 DATA ANALYSIS AND OPTIMISATION LAB

0-0-3 3 2

R/M/H VAC REMEDIAL/MINOR/HONOURS COURSE 3-1-0 4* 4

TOTAL 29 23/27

ELECTIVES MET312 NONDESTRUCTIVE TESTINGIET322 MANAGEMENT OF PROJECTS MET322 ADVANCED MECHANICS OF SOLIDSMET342 IC ENGINE COMBUSTION AND POLLUTIONMET352 AUTOMOBILE ENGINEERINGMET362 PRODUCT DESIGN AND DEVELOPMENTMET372 ADVANCED METAL JOINING TECHNIQUES

IET382 INSPECTION AND QUALITY CONTROL

HONOURS IET394 DERIVATIVES AND ALTERNATIVE INVESTMENTS IET396 FINANCIAL MANAGEMENT

MINOR


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COURSE DESIGN

Each course syllabus in this document is holistic in terms of Course Outcomes (COs), Program Outcomes (POs), Course Mapping, Course Contents, Course Schedule, Assessment Pattern, Assessment Questions and Model question paper. COs are statements that describe what students are expected to know, and are able to do at the end of each course. POs are statements that describe what students are expected to know and be able to do upon graduating from the program. Course mapping information containing Course Outcomes (COs) for each course and it link with Program Outcomes (POs) can be found in the first page of each course syllabus in this file. NBA has defined the following twelve POs for an engineering graduate. 1) Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals,

and an engineering specialization to the solution of complex engineering problems.

2) Problem Analysis: Identify, formulate, review research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.

3) Design/Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

4) Conduct Investigations of Complex Problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions for complex problems:

- that cannot be solved by straightforward application of knowledge, theories and techniques applicable to the engineering discipline as against problems given at the end of chapters in a typical text book that can be solved using simple engineering theories and techniques;

- that may not have a unique solution. For example, a design problem can be solved in many ways and lead to multiple possible solutions;

- that require consideration of appropriate constraints / requirements not explicitly given in the problem statement such as cost, power requirement, durability, product life, etc.;

- which need to be defined (modelled) within appropriate mathematical framework; and

- that often require use of modern computational concepts and tools, for example, in the design of an antenna or a DSP filter.

5) Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.

6) The Engineer and Society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.


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7) Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

8) Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

9) Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

10) Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

11) Project Management and Finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

12) Life-long Learning: Recognize the need for, and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change.

Source: National Board of Accreditation. (2019) Manual for Accreditation of Undergraduate

Engineering Programs, National Board of Accreditation, New Delhi. https://www.nbaind.org/files/NBA_UGEngg_Tier_I_Manual.pdf


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IET302 SYSTEM MODELLING AND

SIMULATION CATEGORY L T P CREDIT

PCC 3 1 0 4

PREAMBLE The objectives of this course are to apply different system theories and techniques to solve problems in industrial and business organizations, to provide a theoretical base to model various discrete event systems and continuous systems, to understand the steps involved in the computer simulation of discrete systems and continuous systems.

PREREQUISITE Nil

COURSE OUTCOMES After the completion of the course the student will be able to CO 1 Understand the basic concepts of system and system simulation

CO 2 Illustrate the generation of random numbers and random variates from standard distributions

CO 3 Develop, verify and validate simulation models and perform output data analysis

CO 4 Explain the fundamental modes of dynamic behavior and their interactions.

CO 5 Construct system dynamics models to understand dynamic behavior



PO 1 PO 2 PO 3 PO 4 PO 5 PO 6 PO 7 PO 8 PO 9 PO 10 PO 11 PO 12

CO 1 3 2

CO 2 3 2

CO 3 3 2 2 1 2

CO 4 3 3 2 1 1 2

CO 5 3 3 2 1 2 1 2



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ASSESSMENT PATTERN

Bloom’s Category Continuous Assessment Tests

End Semester Examination 1 2

Remember 10 10 10 Understand 20 20 20 Apply 20 20 70 Analyse Evaluate Create

Mark distribution

Total Marks

Continuous Internal Evaluation

End Semester Examination


150 50 100 3 hours



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COURSE LEVEL ASSESSMENT QUESTIONS Course Outcome 1 (CO1) 1. Identify the components of a manufacturing system. 2. Demonstrate the steps of simulation study for a traffic system. 3. Develop a random number generator. Course Outcome 2 (CO2) 1. Explain the logic of using direct transformation technique to generate normal variates. 2. Demonstrate the application of acceptance-rejection technique. 3. Identify examples for fixed increment time advance mechanism. Course Outcome 3 (CO3) 1. Test for goodness-of-fit for Poisson distribution. 2. Compare various variance reduction techniques. 3. Illustrate how input modelling is done in the absence of data. Course Outcome 4 (CO4) 1. Explain the evolution of system dynamics methodology. 2. Distinguish between physical flows and information flows. 3. Compare the fundamental modes of behavior. Course Outcome 5 (CO5) 1. Give real life examples of pure second order negative feedback systems. 2. Compare the softwares used for Dynamic simulation. 3. Compare the softwares used for discrete event simulation.


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SYLLABUS

Module 1: Introduction to System Simulation (9 hours)

Concepts of a system, System environment, Continuous and Discrete systems, System models, Comparison of Analytical methods and Simulation, Areas of application of simulation, Steps in discrete event simulation study.

Properties of random numbers, generation of pseudo-random numbers, random number generators. Tests for random numbers: frequency, gap, run, and Poker tests, test for autocorrelation. Monte Carlo method.

Module 2: Discrete Event Simulation (9 hours)

Generation of random variates: Inverse Transformation method for Exponential, Uniform, Weibull, Triangular, and discrete distributions, Direct transformation method for Normal and Lognormal distributions, Acceptance-rejection technique for Poisson and Gamma distributions.

Time Advance Mechanisms for discrete event simulation: Next-Event time advance and Fixed increment time advance methods

Module 3: Simulation Modelling (9 hours)

Input modelling: Data collection, identifying the distribution with the collected data, goodness of fit tests, selecting input models without data.

Verification and Validation of simulation models, Output Data analysis, Variance Reduction techniques.

Module 4: Introduction to System Dynamics (9 hours)

Evolution of System Dynamics as a System Enquiry Methodology.

Elements of System Dynamics Modelling: physical flows, information flows, level & rate variables, delays, information smoothing, table functions and table function multipliers, Causal loop diagramming, Flow diagrams. Steps for Modelling in system dynamics.

Fundamental modes of dynamic behaviour: Exponential growth, goal seeking, oscillation and process point – interactions of fundamental modes.

Module 5: System Dynamics Modelling (10 hours)

Analytical approach to behaviour of linear low-order systems: First order positive and negative feedback systems, Pure second order positive and negative feedback systems.

Principles of simulation modelling, Developing model equations, Algorithm for Euler integration, Hand simulation of system dynamics models.

S-Shaped growth: Epidemics, Innovation Diffusion and Growth of new products. Overview of Software packages for System modelling and simulation.


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Text Books 1. Jerry Banks, J. Carson, J.S., Nelson, B.L., Nicol, D.M. (2013). Discrete Event System Simulation, 5th

Edition, Pearson Education. 2. Mohapatra, P.K., Mandal, P. and Bora, M.C. (1994). Introduction to System Dynamics Modeling,

Universities Press. Reference Books 1. Deo, N. (1978). System Simulation with Digital Computer, PHI 2. Fishman, G. S. (1973). Concepts and Methods in Discrete Event Digital Simulation, John Willey &

Sons. 3. Gordon, G. (2016). System Simulation, 2nd Edition, Pearson Education. 4. Laguna, M. and Marklund, J. (2018). Business Process, Modeling, simulation and Design, CRC

Press. 5. Law, A. M. and Kelton, W. D. (2000). Simulation Modeling and Analysis, 3rd edition, McGraw Hill 6. Ogata, K. (2014). System Dynamics, 4th Edition, Pearson Education. 7. Ross, S. M. (2012). Simulation, 5th Edition, Academic Press. 8. Sterman, J. (2017). Business Dynamics, McGraw Hill. 9. Trivedi, K. S. (2016). Probability and Statistics with Reliability, Queuing and Computer Science

Applications, 2nd Edition, John Wiley.


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No Topic No. of Lectures 1 Module 1: Introduction to System Simulation (9 hours)

1.1 Concepts of a system, System environment, Continuous and Discrete systems

1 hour

1.2 System models, Comparison of Analytical methods and Simulation, Areas of application of simulation

1 hour

1.3 Steps in discrete event simulation study. 1 hour 1.4 Properties of random numbers, generation of pseudo-random

numbers, random number generators 2 hours

1.5 Tests for random numbers: frequency, gap, run, and Poker tests, test for autocorrelation

3 hours

1.6 Monte Carlo method. 1 hour 2 Module 2: Discrete Event Simulation (9 hours)

2.1 Inverse Transformation method for Exponential, Uniform, Weibull, Triangular, and discrete distributions

3 hours

2.2 Direct transformation method for Normal and Lognormal distributions

2hours

2.3 Acceptance-rejection technique for Poisson and Gamma distributions 2 hours 2.4 Time Advance Mechanisms for discrete event simulation 2 hours 3 Module 3: Simulation Modelling (9 hours)

3.1 Input modelling: Data collection, identifying the distribution with the collected data

1 hour

3.2 Goodness of fit tests, selecting input models without data 2 hours 3.3 Verification and Validation of simulation models 2 hours 3.4 Output Data analysis 2 hours 3.5 Variance Reduction techniques 2 hours 4 Module 4: Introduction to System Dynamics (9hours)

4.1 Evolution of System Dynamics 1 hour 4.2 Elements of System Dynamics Modelling: physical flows,

information flows, level & rate variables 1 hours

4.3 Elements of System Dynamics Modelling: delays, information smoothing, table functions and table function multipliers

2 hours

4.4 Causal loop diagramming, Flow diagrams 2 hours 4.5 Steps for Modelling in system dynamics 2 hours 4.6 Fundamental modes of dynamic behavior 1 hour 5 Module 5: System Dynamics Modelling (10 hours)

5.1 Analytical approach to behavior of linear low-order systems 2hours 5.2 Principles of simulation modelling 1 hour 5.3 Developing model equations 2 hours 5.4 Algorithm for Euler integration, Hand simulation of system dynamics

models 2 hours

5.5 S-Shaped growth: Epidemics, Innovation Diffusion and Growth of new products

2 hours

5.6 Overview of Software packages for System modelling and simulation 1 hours


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IET304 ADVANCED OPERATIONS

RESEARCH CATEGORY L T P CREDIT

PCC 3 1 0 4

PREAMBLE

This course aims at equipping the students to formulate and solve large scale optimization problems with single as well as multiple objectives. Insight into advanced tools and techniques to handle linear, non – linear problems and network models is also included in the course.

PREREQUISITE

IET303 Operations Research

COURSE OUTCOMES


CO 1 Apply advanced tools to solve linear programming problems.

CO 2 Formulate real life situations into integer programming models, solve using advanced tools.

CO 3 Solve the unrestricted nonlinear optimization problems using gradient non-gradient based techniques.

CO 4 Solve constrained optimization problems using effective tools.

CO 5 Construct appropriate network models and build optimal solutions to industrial problems.



PO 1 PO 2 PO 3 PO 4 PO 5 PO 6 PO 7 PO 8 PO 9 PO10 PO11 PO12

CO1 3 3 3 2 2 3 3 2 3

CO2 3 3 3 2 2 3 3 2 3

CO3 3 3 3 2 2 3 3 2 3

CO4 3 3 3 2 2 3 3 2 3

CO5 3 3 3 2 2 3 3 2 3

Strong - 3 Medium - 2 Weak – 1


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ASSESSMENT PATTERN

Bloom’s Category Continuous Assessment Tests End Semester Examination 1 2

Remember 10 10 10 Understand 20 20 20 Apply 15 15 60 Analyse 5 5 10 Evaluate Create Mark distribution

Total Marks




150 50 100 3 hours



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COURSE LEVEL ASSESSMENT QUESTIONS Course Outcome 1 (CO1)

1. Use the revised simplex method to solve the LPP Maximize Subject to the constraints:

2. Solve the following LPP using dual simplex algorithm Maximize Subject to the constraints:


1. A manufacturer can cell product A at a profit of Rs. 2/- per unit and product B at Rs. 5/- per unit. Three units of raw material are required to manufacture one unit of product A, and 6 units of raw material are required to manufacture one unit of product B. A total of 120 units of raw material are available. If the product A requires 10 hours of machining and product B requires 20 hours of machining with the total availability of machine hours limited to 250, formulate an IP to maximize the profit. Also find the product mix that gives the maximum profit using cutting plane.

2. Solve the following integer programming problem using branch and bound method Maximize Subject to 2

Course Outcome 3(CO3)

1. Minimize using Newton’s method

2. Find the minimum of the following function in the interval (0,1) using Fibonacci method (take

the final interval of uncertainty as έ = 0.15)


1. Use Lagrange multiplier method to solve the NPP Maximize

Subject to the constraints:

2. Maximize

Subject to the constraints:

Using Kuhn -tucker conditions


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1. With a simple example explain the steps involved in finding the critical path of a project network.

2. Find the shortest path from node 1 to node 7 using Dijkstra’s algorithm


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APJ ABDUL KALAM TECHNOLOGICAL UNIVERSITY SIXTH SEMESTER B. TECH DEGREE EXAMINATION

COURSE CODE: IET304

COURSE NAME: ADVANCED OPERATIONS RESEARCH


PART A Answer all questions, each carries 3marks. Marks 1 List the advantages of revised simplex method. (3 Marks) 2 What is the scope of post optimality analysis? (3 Marks) 3 Write steps in finding the solution to an integer programming problem using branch

and bound algorithm. (3 Marks)

4 Explain any three situations which can be modelled as integer programming problem. (3 Marks) 5 What is the importance of Lagrange Multiplier? (3 Marks) 6 Explain steps in solving a single variable unconstrained optimization problem using

Golden Section Search. (3 Marks)

7 List the importance of Minimum Spanning Tree in decision making. (3 Marks) 8 Write notes on Flow Augmenting Path. (3 Marks) 9 Differentiate free float and total float. (3 Marks)

10 List the heuristic techniques to solve Travelling Salesman Problem. (3 Marks)

PART B Answer one full question from each module, each carries 14 marks.

Module 1

11 Use the Revised Simplex method to solve the LPP

Maximize Subject to the constraints:

(14 Marks)

Or

12 Solve the following LP Problem Maximize

Subject to

i. If a new variable is added in the problem with a profit of 7 and 2 and 4 as

(14 Marks)


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the coefficients of the first and second constraints, what happens to the current optimal solution?

ii. Find the effect of increase of the RHS of the first constraint from 4 to 6Module 2

13 Use branch and bound method to solve Maximize Subject to

(14 Marks)

Or

14 A manufacturer can cell product A at a profit of Rs. 2/- per unit and product B at Rs. 5/- per unit. Three units of raw material are required to manufacture one unit of product A, and 6 units of raw material are required to manufacture one unit of product B. A total of 120 units of raw material are available. If the product A requires 10 hours of machining and product B requires 20 hours of machining with the total availability of machine hours limited to 250, formulate an IP to maximize the profit. Also find the product mix that gives the maximum profit using cutting plane

(14 Marks)

Module 3

15 a) Use the method of steepest ascent to approximate the solution to Maximize

.

(7 Marks)

b) Use golden section search to find the maximum of in the range with the final interval of uncertainty

having a length less than 0.25

(7 Marks)

Or

16 Maximize

Subject to

(14 Marks)

Module 4

17 Explain the steps of Floyd’s algorithm with the help of a simple example (14 Marks)

Or

18 Find the minimum spanning tree using Kruskal’s algorithm

Nodes 1 2 3 4 5 6 1 - 8 6 4 5 3 2 8 - 7 10 5 8

(14 Marks)


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3 6 7 - 12 8 7 4 4 10 12 - 6 5 5 5 5 8 6 - 8 6 3 6 5 7 8 -

Module 5

19 The activities involved in a certain project have been identified as follows:

(14 Marks)

Or

20 a) Find the optimal solution to the TSP

A B C D E F A - 13 2 15 15 15 B 13 - 14 1 12 12 C 2 14 - 16 14 14 D 15 1 16 - 10 10 E 15 12 14 10 - 4 F 15 12 14 10 4 -

(14 Marks)

****


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SYLLABUS Module 1: Linear Programming (9 hours) Linear Programming – Advanced Solution Techniques: Two Phase Method, Dual Simplex Method, Matrix form of Simplex Method, Revised Simplex Method and Sensitivity Analysis in Linear Programming. Module 2: Integer Programming (9 hours) Integer programming – Types of Variables, Standard Applications, Formulation of Integer Programming Problems, Branch and Bound algorithm, Cutting Plane Algorithm, All Integer Algorithms, Branch and Cut algorithm, Branch and Price algorithm, Implicit Enumeration. Module 3: Non-Linear Programming (13 hours) Non-linear programming: Definition, Formulation of Non-linear Programming Problems. Convex and Non-Convex Functions. Solving NLPs with One Variable (Unconstrained Maximization and Minimization). Unconstrained Maximization and Minimization with Several Variables. The Method of Steepest Descent. Newton’s method and quasi - Newton Method, Conjugate gradient and conjugate direction methods. Constrained optimization methods: Lagrange Multipliers, The Kuhn-Tucker Condition, The Method of Feasible Directions, Pareto Optimality and Trade-off Curves. Module 4: Graph Theory (7 hours) Introduction to graph theory-Basic definitions. Network problems: Minimum spanning tree problem-Prim’s algorithm, Kruskal’s algorithm. Shortest path problems-Dijkstra’ algorithm, Floyd’s Algorithm, Successive Shortest path algorithm. Maximum flow problems-Flow augmenting path, Labelling algorithm, Maximum Flow and Minimum Cut, Shortest Augmenting path algorithm Minimum cost flow problem-Network Simplex method. Module 5: Networks & Heuristics (7 hours) CPM / PERT networks. Travelling Salesman Problem (TSP) - Branch and Bound and Heuristic algorithms for the TSP. Chinese Postman Problem. Vehicle Routing Problems-Optimal solutions, Little’s algorithm and heuristic solutions, Savings Based algorithm, Holmes and Parker refinement Text Books 1. Sharma J. K. (2009). Operations Research, MacMillan.

2. Srinivasan G. (2010). Operations Research, Prentice Hall India.

3. Vohra N. D. (2007). Quantitative Methods in Management, Tata McGrew Hill.

4. Wagner H. M. (1975). Principles of Operations Research with Applications to Managerial Decisions, Prentice Hall India.


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Reference Books 1. Hillier, F. S. and Lieberman, G. J. (2005). Introduction to Operations Research, Tata McGraw Hill.

2. Rardin, R. L. (2013). Optimization in Operations Research, Pearson Education.

3. Taha, H. A. (2010). Introduction to Operations Research, 9th Edition, PHI.

4. Winston, W. L. (2008). Operations Research: Applications and Algorithms, Thomson Business Press, 2008.


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No Topic No. of Lectures 1 Module 1: Linear Programming (9 hours)

1.1 Two Phase Method 1 hour 1.2 Dual Simplex Method 1 hour 1.3 Matrix form of Simplex Method 2 hours 1.4 Revised Simplex Method 3 hours 1.5 Sensitivity Analysis in Linear Programming 2 hours 2 Module 2: Integer Programming (9 hours)

2.1 Integer programming – Introduction & Formulation 2 hours 2.2 Integer programming – Solution Techniques 7 hours 3 Module 3: Non-Linear Programming (13 hours)

3.1 Non-linear programming – Introduction & Formulation 2 hours 3.2 Convex and Non-Convex Functions 1 hour 3.3 NLPs with One Variable: Solution Techniques 2 hours 3.4 NLPs with Multiple Variables: Solution Techniques 2 hours 3.5 Constrained optimization methods - Introduction 1hour 3.6 Lagrange Multipliers 1 hour 3.7 The Kuhn-Tucker Condition 2 hours 3.8 The Method of Feasible Directions 1 hour 3.9 Pareto Optimality and Trade-off Curves 1 hour 4 Module 4: Graph Theory (7 hours)

4.1 Graph Theory - Introduction 1 hour 4.2 Minimum spanning tree problem 2 hours 4.3 Shortest path problems 2 hours 4.4 Maximum flow problems 1 hour 4.5 Minimum cost flow problem 1 hour 5 Module 5: Networks & Heuristics (7 hours)

5.1 CPM / PERT networks 3 hours 5.2 Travelling Salesman Problem 2 hours 5.3 Chinese Postman Problem 1 hour 5.4 Vehicle Routing Problems 1 hour

45 hours


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IET306 DATA ANALYSIS CATEGORY L T P CREDIT PCC 3 1 0 4

PREAMBLE

The objectives of this course are to make sense out of data, to apply single and multivariable measures to make decisions, to work with probability distributions to analyse unknowns, to apply sampling techniques to make projections about a population, to develop decision making and analytical skills and to apply technology tools to business management and administrative support functions.

PREREQUISITE Nil

COURSE OUTCOMES After the completion of the course the student will be able to CO 1 Report descriptive statistics through basic data analysis displays.

CO 2 Understand the application of probability distributions to model real world problems. CO 3 Apply statistical techniques for analyzing samples from the fields of business and industry.

CO 4 Evaluate reports presenting statistical data, translate and communicate the results of statistical analyses.

CO 5 Perform trend analysis and regression analysis on data series.



PO 1 PO 2 PO 3 PO 4 PO 5 PO 6 PO 7 PO 8 PO 9 PO 10 PO 11 PO 12

CO 1 3 2

CO 2 3 2 1 2

CO 3 3 2 1 1 2 2

CO 4 3 3 1 1 2 1 1 2 2

CO 5 3 3 1 1 2 1 1 2 2



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ASSESSMENT PATTERN


Remember 10 10 10 Understand 20 20 20 Apply 20 20 70 Analyse Evaluate Create Mark distribution

Total Marks




150 50 100 3 hours Continuous Internal Evaluation Pattern Attendance : 10 marks Continuous Assessment Test (2 numbers) : 25 marks Assignment/Quiz/Course project : 15 marks End Semester Examination Pattern There will be two parts; Part A and Part B. Part A contain 10 questions with 2 questions from each module, having 3 marks for each question. Students should answer all questions. Part B contains 2 questions from each module of which student should answer any one. Each question can have maximum 2 sub-divisions and carry 14 marks.


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COURSE LEVEL ASSESSMENT QUESTIONS Course Outcome 1 (CO1) 1. Construct a questionnaire for conducting a survey on consumer awareness. 2. Select any data set and obtain its descriptive statistics. Interpret the output. 3. Develop suitable display measures for any selected data set. Course Outcome 2 (CO2) 1. Compare various discrete distributions emphasising their applications. 2. Compare various continuous distributions emphasising their applications. 3. Derive the pmf and pdf for various discrete and continuous distributions. Course Outcome 3 (CO3) 1. Illustrate various probability sampling techniques along with its applications. 2. Illustrate various non-probability sampling techniques along with its applications. 3. With the help of an experiment, demonstrate central limit theorem. Course Outcome 4 (CO4) 1. Discuss the difference in purpose between the estimation of parameters and the testing of statistical

hypothesis. 2. Compare various non parametric tests with reference to their application. 3. Illustrate how Analysis of Variance is useful in business problems using suitable examples. Course Outcome 5 (CO5) 1. Construct a scatter plot for any selected bi-variate data set and explain how this can be used to studying

the correlation between the variables. 2. Explain the concept of regression and illustrate its importance in business forecasting. 3. Demonstrate the utility of various multivariate techniques using specific examples.


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SYLLABUS Module 1: Introduction and Descriptive Statistics (9 hours) Need for data analysis, Collection of data, Organization and Presentation of data, Primary types of Measurement Scales - Nominal, Ordinal, Interval and Ratio scales. Deciles, Quartiles and Percentiles, Measures of Central Tendency, Measures of Variability, Skewness and Kurtosis, Chebyshev’s Theorem, The Empirical Rule. Module 2: Probability Distributions (9 hours) Types of Probability distributions - discrete and continuous, Random variables – Expected value. Introduction to Bernoulli, Binomial, Geometric, Poisson, Triangular, Weibull, Uniform, Normal, Gamma and Exponential distributions. Module 3: Sampling and Sampling distributions (9 hours) Samples and Population, Sampling process, Non- probability and Probability Sampling- different types, Determination of sample size, Introduction to sampling distributions, Central Limit Theorem, Estimators and their properties, Point Estimates, Interval Estimates and Confidence Intervals. Module 4: Hypothesis Testing & Analysis of Variance (10 hours) Hypothesis Testing: One sample and Two sample tests - z-test, t-test, Chi-square test, F-test. Non-Parametric methods: K-S test, Sign test for paired data, One sample Runs test, Rank sum tests – The Mann-Whitney U-test and Kruskal-Wallis test. Analysis of Variance: Theory and computations of ANOVA, ANOVA table, Two-way ANOVA, Blocking designs, Factorial design. Module 5: Regression and Time Series Analysis (10 hours) Correlation and Regression: Correlation Analysis – Pearson correlation and Spearman’s rank correlation, Significance of correlation, Estimation using the regression line, Multiple Regression - The k-variable multiple regression model, The F-test of a Multiple Regression model. Time Series Analysis and Index numbers: Trend Analysis, Seasonality and Cyclic behaviour, The Ratio-to-Moving average method, Exponential smoothing method, Introduction to Index numbers. Overview of Multivariate techniques - Factor Analysis, Multi-Dimensional Scaling, Cluster Analysis, Discriminant Analysis and Conjoint Analysis. Text Books 1. Levin, R. I. (2011). Statistics for Management, Pearson Education.

2. Sharma, J. K. (2020). Business Statistics, 5th Edition, Vikas Publishing House.


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Reference Books 1. Aczel, A. D., Sounderpandian, J., Saravanan, P. and Joshi, R. (2017). Complete Business Statistics, 7th

Edition, Tata McGraw Hill.

2. Kanji, K. G. (2006). 100 Statistical Tests, 3rd Edition, Sage Publications.

3. Miller, I. and Miller, M. (2012). John E. Freund's Mathematical Statistics with Applications, 8th Edition, Prentice Hall India.

4. Mitra, A. (2013). Fundamentals of Quality Control and Improvement, 3rd Edition, Wiley.

5. Hines, W. W., Montgomery, D. C., Goldsman, D. M., and Borror, C. M. (2004). Probability and Statistics in Engineering, 4th Edition, John Wiley& Sons.

6. Green, P. E., Tull, D. S. and Albaum, G. (2009). Research for Marketing Decisions, 5th Edition, Prentice Hall.

7. Kinnear, T. C. and Taylor, J. R. (1996). Marketing Research - An Applied Approach, 5th Edition, McGraw Hill Inc.


No Topic No. of Lectures hours

1 Module 1: Introduction and Descriptive Statistics (10 hours) 1.1 Need for data analysis, Collection of data, Organization and

Presentation of data 2 hours

1.2 Primary types of Measurement Scales - Nominal, Ordinal, Interval and Ratio scales.

1 hour

1.3 Deciles, Quartiles and Percentiles 1 hour 1.4 Measures of Central Tendency 2 hours 1.5 Measures of Variability, Skewness and Kurtosis 2 hours 1.6 Chebyshev’s Theorem, The Empirical Rule 1 hour 2 Module 2: Probability Distributions (10 hours)

2.1 Types of Probability distributions - discrete and continuous 1 hour 2.2 Random variables – Expected value 1 hour 2.3 Introduction to Bernoulli, Binomial, Geometric Distributions 1 hour 2.4 Introduction to Poisson, Triangular, Weibull Distributions 2 hours 2.5 Introduction to Uniform, Normal Distributions 2 hours 2.6 Introduction to Gamma, Exponential Distributions 2 hours 3 Module 3: Sampling and Sampling distributions (10 hours)

3.1 Samples and Population, Sampling process, Non- probability and Probability Sampling- different types

2 hours

3.2 Determination of sample size, Introduction to sampling distributions 2 hours 3.3 Central Limit Theorem, Estimators and their properties, Point 2 hours


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Estimates 3.4 Interval Estimates and Confidence Intervals 2 hours 4 Module 4: Hypothesis Testing & Analysis of Variance (10hours)

4.1 Hypothesis Testing: One sample and Two sample tests - z-test, t-test, Chi-square test, F-test

2 hours

4.2 Non-Parametric methods: K-S test, Sign test for paired data, One sample Runs test

2 hours

4.3 Rank sum tests – The Mann-Whitney U-test and Kruskal-Wallis test 2 hours 4.4 Analysis of Variance: Theory and computations of ANOVA,

ANOVA table, Two-way ANOVA 2 hours

4.5 Analysis of Variance: Blocking designs, Factorial design 2 hours 5 Module 5: Regression and Time Series Analysis (10 Hours)

5.1 Correlation Analysis – Pearson correlation and Spearman’s rank correlation, Significance of correlation

1 hour

5.2 Estimation using the regression line, Multiple Regression - The k-variable multiple regression model, The F-test of a Multiple Regression model

2 hours

5.3 Trend Analysis, Seasonality and Cyclic behaviour 1 hour 5.4 The Ratio-to-Moving average method, Exponential smoothing

method 2 hours

5.5 Introduction to Index numbers 2 hours 5.6 Overview of Multivariate techniques 2 hours

Total 47 hours


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IET308 COMPREHENSIVE COURSE WORK

Category L T P Credit Year of Introduction

PCC 1 0 0 1 2019

PREAMBLE The course is designed to ensure that the student have firmly grasped the foundational knowledge in Industrial Engineering familiar enough with the technological concepts. It provides an opportunity for the students to demonstrate their knowledge in various Industrial Engineering subjects.

PRE-REQUISITE Nil

COURSE OUTCOMES After the course, the student will able to: CO1 Learn to prepare for a competitive examination

CO2 Comprehend the questions in Industrial Engineering field and answer them with confidence

CO3 Communicate effectively with faculty in scholarly environments

CO4 Analyze the comprehensive knowledge gained in basic courses in the field of Industrial Engineering


Refer: Page 76 for PO information. PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12

CO1 3 1 1 2

CO2 3 1 2 3

CO3 3 1 1 2 3

CO4 3 3 1 2



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ASSESSMENT PATTERN

Bloom’s Category

End Semester Examination (Marks)

Remember 25 Understand 15 Apply 5 Analyze 5 Evaluate Create

End Semester Examination Pattern A written examination will be conducted by the University at the end of the sixth semester.The written examination will be of objective type similar to the GATE examination.Syllabus for the comprehensive examination is based on following five Industrial Engineering core courses.

IET 301- Supply Chain and Logistics Management IET 303- Operations Research IET 202- Work System Design IET 204- Operations Management IET 206–Machine Tools and Digital Manufacturing

The written test will be of 50 marks with 50 multiple choice questions (10 questions from each module) with 4 choices of 1 mark each covering all the five core courses. There will be no negative marking. The pass minimum for this course is 25. The course should be mapped with a faculty and classes shall be arranged for practicing questions based on the core courses listed above. Written examination : 50marks Total : 50 marks


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COURSE LEVEL ASSESSMENT AND SAMPLE QUESTIONS 1) Which among the following is the initial stage of the supply chain management Process:

A) Sourcing stage B) organizing stage C) Planning stage D) Directing stage

2) Positive long-term relationship between supply chain participants refers to: A) Supply chain management B) Partnerships C) Cooperations D) Co-alliances

3) Which among the following is the Japanese term meaning continuous improvement :

A) JIT B) Kaizen C) TQM D) Taguchi 4) EOQ stands for:

A) Economic order quantity B) Economical ordering quantity C) Economical order quality D) Economic obtained quantity.

5) If normal time is 2 minutes and the allowance factor is 20% what is the standard time for this tas? A) Can’t be determined from the given information B) 40 minutes C) 2.50 minutes D) 2.0 minutes

6) Which of the following is not one of the four types of variations that is estimated in time-series

analysis? A) Trend B) Cyclic C) Irregular D) Seasonal 7) The root mean square error is a measure of:

A) Sample size B) Moving average periods C) Exponential smoothing D) Forecast accuracy 8) Which of the following is not the phase of OR methodology?

A) Formulation B) Model construction C) Establishing controls D) Controlling the environment

9) In graphical representation the bounded region is known as ---------------- region:

A) Solution region B) Basic solution C) Feasible solution D) Optimal

10) In degenerate solution value objective function is A) Increases infinitely B) Basic variables are non-zeros C )Decreases infinitely D) One or more basic variables are zeros

11) -----------is the algebraic and graphical representation of the relationship among the volume of output, cost and revenues. A) Break-even analysis B) Fixed analysis C) Economic analysis D) None of the above

12) In the case of __________ the products are produces as per the specification of the customers within prefixed time and cost. A) Mass production B) Job production C) Both of these D) None of these

13) -------------- involve the activities relating to procuring materials and supplies consumed during production? A) Selling B) Pricing C) Purchasing D) Distribution

14) Objective of work study is to improve __________ A) Cycle time B) productivity C) Production D) All the above


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15) The shortest possible time in which an activity can be achieved under ideal circumstances is known as ________ A) Pessimistic time estimate B) Optimistic time estimate C) Expected time estimate D) None of these

SYLLABUS

MODULE 1: Supply chain management Supply chain management objectives, structures, decision phases, performance measures, drivers and metrics of supply chain, Models for facility location and layout decisions; Forecasting models, forecast errors; Aggregate Planning Strategies, methods and models; Inventory models, Safety inventory models for continuous review and periodic review, Selective inventory control methods; Logistics network design, 3PL, 4PL and 5PL, Methods and techniques for logistics network design; Reverse, Closed Loop and Green Logistics, Logistics decision models on bin packing problems and knapsack problems. MODULE 2: Operations Research Operations Research models and methods, Formulations, Linear Programming models, Graphical solutions, Simplex method; Transportation Problems, Balanced/unbalanced transportation problems, Transportation solution methods and optimality test, Assignment Problems, Formulation and solution of assignment problem; Queuing theory, Taxonomy of queuing models, Basic Queuing Models; Game theory; Dynamic Programming, Bellman’s principle of optimality, Application of dynamic programming procedure; Decision making under uncertainty and under risk; Replacement analysis; OR software packages. MODULE 3: Work System Design Productivity concepts and its measurements, Factors influencing productivity, Techniques for productivity improvement; Work study and Method study, Method study procedure, Method study recording tools and techniques; Work measurements methods, Standard time estimation, Sample size selection, Performance rating systems, Allowances; Work sampling, Work sampling procedure, Predetermined time standards; Output and time based wages and incentive systems; Micro motion study, Micro motion study tools and techniques, Principle of motion economy, Workplace design, Application of anthropometric data. MODULE 4: Operations Management Demand forecasting methods, Time series, Causal and Econometric methods, Forecasting errors, Winter’s model; Layout planning, Conventional and computerized layout planning, Systematic Layout Planning; Line balancing; Production systems and capacity planning and control; Job shop production activity planning using scheduling and sequencing techniques; Recent trends in production systems such as BPR, ERP, JIT, KANBAN, Push/Pull System. MODULE 5: Machine Tools and Digital Manufacturing


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Tool nomenclature, Orthogonal and oblique cutting, Tool wear and tool life, Economies of machining; Lathe machines - types, operations, work holding accessories and chucks; Milling machines - types, and operations performed in milling machines; Reciprocating machines – types, applications; Grinding and Drilling machines - types, applications and operations; NC and CNC machines, G codes and M codes, CAD/CAM software and their applications; Digital manufacturing and critical modeling theories and technologies of digital manufacturing; Programmable and flexible automation; Automatic material handling and industrial robotics; PLM and Industries 4.0 concept.


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IEL332 SIMULATION LAB CATEGORY L T P CREDIT PCC 0 0 3 2

PREAMBLE

The aim of this course is to make the students gain practical skills in applying system simulation techniques in various industrial and interdisciplinary engineering areas and observe the systems behavior. The course would help the students in understanding systems behavior and enable better systems design.

PREREQUISITE • MAT212 INTRODUCTION TO STOCHASTIC MODELS

• Additionally, basic knowledge of course contents in IET302 SYSTEM MODELLING AND SIMULATION from current semester would help

COURSE OUTCOMES After the completion of the course the student will be able to CO 1 Demonstrate the generation of random variates from standard distributions and its testing

CO 2 Demonstrate knowledge of how to use simulation software

CO 3 Build a simulation model of systems and validate them

CO 4 Analyze the dynamic behavior of system simulation output




CO 1 3 1 3 3 3

CO 2 1 2 3 3 3

CO 3 3 3 3 3 3 3 2

CO 4 3 3 3 3 3 3 3 3



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ASSESSMENT PATTERN Mark distribution Total Marks Continuous Internal



150 75 75 2.5 hours

Continuous Internal Evaluation Pattern (CIE)

Attendance : 15 marks

Continuous Assessment : 30 marks

Internal Test (Immediately after the second series test) : 30 marks

End Semester Examination Pattern (ESE)

The following guidelines should be followed regarding award of marks

(a) Preliminary work : 15 Marks

(b) Implementing the work/Conducting the experiment : 10 Marks

(c) Performance, result and inference (usage of equipments and trouble shooting) : 25 Marks

(d) Viva voce : 20 marks

(e) Record : 5 Marks

General instructions Practical examination to be conducted immediately after the second series test covering entire syllabus

given below. Evaluation is a serious process that is to be conducted under the equal responsibility of both

the internal and external examiners. The number of candidates evaluated per day should not exceed 20.

Students shall be allowed for the University examination only on submitting the duly certified record. The

external examiner shall endorse the record.


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LIST OF EXPERIMENTS The experiments in this course would relate to simulation of systems that would include functional areas

such as manufacturing, marketing, finance, operations, healthcare, supply chain management etc. The

focus of the experiments would be to analyze input data, fit statistical distribution, build simulation

models, conduct experiment using simulation models, understand the behavior of the systems and

recommend strategies for performance improvement of the systems. Minimum 10 experiments shall be

completed.

Experiments on simulation would use software@ such as Excel, R, Python, SPSS, Simio, Arena, Vensim,

Anylogic, Witness, Promodel, GPSS, Enterprise Dynamics, Plant Simulation, MATLAB/Simulink,

Flexsim, etc. Typical exercises shall be given on

• Generation of random numbers and test of fitness

• Statistical distribution fitting

• Monte-Carlo simulation

• Simulation of queuing systems

• Simulation of operation of manufacturing workstations

• Demonstration of basic system dynamics models

• Simulation of social systems such as business, schools, industry, government organizations.

• Simulation of industrial, manufacturing and biological systems using system dynamics model.

• Apply system dynamics models for forecasting, financial analysis and decision making for a

firm/sector.

@Note: Free and open source, trial or free academic version of the software package may be used. Text Books 1. Deo, N. (1978). System Simulation with Digital Computer, PHI

2. Fishman, G. S. (1973). Concepts and Methods in Discrete Event Digital Simulation, John Willey & Sons.

3. Geoffrey Gordon, G. (2016). System Simulation, 2nd Edition, Pearson Education.

4. Banks, J., Carson, J. S., Nelson, B. L., and Nicol, D. M. (2013). Discrete Event System Simulation, 5th Edition, Pearson Education.

5. Mohapatra, P. K., Mandal, P. and Bora, M. C. (1994). Introduction to System Dynamics Modeling, Universities Press.


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6. Hines, W. W., Montgomery, D. C., Goldsman, D. M., and Borror, C. M. (2004). Probability and Statistics in Engineering, 4th Edition, John Wiley& Sons.

7. Trivedi, K. S. (2016). Probability and Statistics with Reliability, Queuing and Computer science Applications, 2nd Edition, John Wiley.

Reference Books 1. Laguna, M. and Marklund, J. (2018). Business Process, Modeling, simulation and Design, CRC

Press.

2. Law, A. M. and Kelton, W. D. (2000). Simulation Modeling and Analysis, 3rd edition, McGraw Hill

3. Ogata, K. (2014). System Dynamics, 4th Edition, Pearson Education.

4. Ross, S. M. (2012). Simulation, 5th Edition, Academic Press.

5. Sterman, J. (2017). Business Dynamics, McGraw Hill.


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IEL334 DATA ANALYSIS AND OPTIMISATION LAB

CATEGORY L T P CREDIT PCC 0 0 3 2

PREAMBLE

The aim of this course is to make the students gain practical skills in applying data analysis and optimization techniques for appropriate decision making in various industrial engineering and other multidisciplinary areas.

PREREQUISITE • IET303 OPERATIONS RESEARCH

• Additionally, basic knowledge of the course contents in IET304 ADVANCED OPERATIONS RESEARCH and IET306 DATA ANALYSIS from current semester would help

COURSE OUTCOMES


CO 1 Analyze data using statistical and data mining techniques and understand relationships between the underlying business processes of an organization

CO 2 Apply decision-making tools / Operations Research techniques to analyze complex problems in industrial engineering and multidisciplinary areas.

CO 3 Apply data analytic tools in general management, marketing, finance, operations, supply chain management and multidisciplinary areas.

CO 4 Apply data analysis software for decision making.



CO 1 2 3 2 2

CO 2 2 3 3 2 2 2

CO 3 2 3 2 2 2

CO 4 2 3 3 2 2



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Total Marks Continuous Internal Evaluation



150 75 75 2.5 hours

Continuous Internal Evaluation Pattern (CIE)

Attendance : 15 marks Continuous Assessment : 30 marks Internal Test (Immediately after the second series test) : 30 marks

End Semester Examination Pattern (ESE)

The following guidelines should be followed regarding award of marks (a) Preliminary work : 15 Marks (b) Implementing the work/Conducting the experiment : 10 Marks (c) Performance, result and inference (usage of equipments and trouble shooting) : 25 Marks (d) Viva voce : 20 marks (e) Record : 5 Marks General instructions Practical examination to be conducted immediately after the second series test covering entire syllabus given below. Evaluation is a serious process that is to be conducted under the equal responsibility of both the internal and external examiners. The number of candidates evaluated per day should not exceed 20. Students shall be allowed for the University examination only on submitting the duly certified record. The external examiner shall endorse the record.

LIST OF EXPERIMENTS The experiments in this course would relate to data analysis and optimization in general management and various functional areas such as manufacturing, marketing, finance, operations, healthcare, supply chain management etc. The focus of data analysis and optimization experiments would be on understanding operational and performance aspects of a firm from the data set collected, analyze data for better insights and perform decision making within resource constrained environment, and recommend strategies for performance improvement. Minimum 10 experiments shall be completed. Experiments dealing with data analysis would use software@ such as Excel, R, Python, SAS, SYSTAT, MATLAB, SPSS, Minitab, SmartPLS, EViews etc. Typical exercises shall be given on

• Data input • Descriptive statistics and Tabulation • Fitting Probability Distribution • Data Munging • Hypothesis Testing


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• Graphical Analysis • t-tests • ANOVA • Correlation and Regression Analysis • Time Series and Autocorrelation • Clustering.

Experiments dealing with optimization problems would use software@ such as Excel, IBM ILOG CPLEX, AIMMS, GAMS, Lindo, Lingo, MATLAB, AMPL, etc. Typical exercises shall be on:

• Linear and Nonlinear Programming Problems • Integer Programming Problems • Quadratic Programming Problems

@Note: Free and open source, trial or free academic version of the software package may be used. Books 1. Aczel, A. D., Sounderpandian, J. and Saravanan, P. (2017). Complete Business Statistics, 7th Edition,

Tata McGraw Hill. 2. Green, P. E., Tull, D. S. and Albaum, G. (2009). Research for Marketing Decisions, 5th Edition,

Prentice Hall. 3. Hines, W. W., Montgomery, D. C., Goldsman, D. M., Borror, C. M. (2003). Probability and Statistics

in Engineering, 4th Edition, John Wiley& Sons. 4. Miller, I. and Miller, M. (2003). John E. Freund's Mathematical Statistics with Applications, 7th

Edition, Pearson. 5. Ledolter, J. (2013). Data Mining and Business Analytics with R, Wiley. 6. Taylor III, Bernard,W. Introduction to Management Science, 5th Edition, Pearson Education. 7. Kalavathy, S. Operations Research with C Programs, 3rd Edition, Vikas Publication. 8. Srinivasa, K G et al. Statistical Programming in R, 1st Edition, Oxford University Press. 9. Purohit, S, G et al. Statistics using R, 2nd Edition, Narosa Publishing.

SEMESTER VI PROGRAM ELECTIVE I


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MET 312 NONDESTRUCTIVE TESTING CATEGORY L T P CREDIT

PEC 2 1 0 3

PREAMBLE

Nondestructive Testing (NDT) plays an extremely important role in quality control, flaw detection and structural health monitoring covering a wide range of industries. There are varieties of NDT techniques in use. This course will first cover the fundamental science behind the commonly used NDT methods to build the basic understanding on the underlying principles. It will then go on to cover the process details of each of these NDT methods.

PREREQUISITE

Nil COURSE OUTCOMES

After the completion of the course the student will be able to CO 1 Have a basic knowledge of surface NDT which enables to carry out various inspections in

accordance with the established procedures. CO 2 The students will be able to differentiate various defect types and select the appropriate NDT

methods for the specimen. CO 3 Calibrate the instrument and evaluate the component for imperfections. CO 4 Have a basic knowledge of ultrasonic testing which enables them to perform inspection of

samples. CO 5 Have a complete theoretical and practical understanding of the radiographic testing,

interpretation and evaluation.


PO 1 PO 2 PO 3 PO 4 PO 5 PO 6 PO 7 PO 8 PO 9 PO 10

PO 11

PO 12

CO 1

3 3 2 1

CO 2

3 3 2 1

CO 3

3 3 1 2

CO 4

3 3 2 2

CO 5

3 3 1 1


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ASSESSMENT PATTERN


Remember 25 25 25 Understand 25 25 25 Apply 30 30 30 Analyse 10 10 10 Evaluate 10 10 10 Create

Mark distribution

Total Marks

CIE ESE ESE Duration

150 50 100 3 hours

Continuous Internal Evaluation Pattern:

Attendance : 10 marks Continuous Assessment Test (2 numbers) : 25 marks Assignment/Quiz/Course project : 15 marks End Semester Examination Pattern: There will be two parts; Part A and Part B. Part A contain 10 questions with 2 questions from each module, having 3 marks for each question. Students should answer all questions. Part B contains 2 questions from each module of which student should answer any one. Each question can have maximum 2 sub-divisions and carry 14 marks.



1. Explain why NDT methods were initially developed

2. Describe the uses of NDT

3. Define the functionality of Destructive method


1. Name the various nondestructive test methods

2. Recognize the NDT method abbreviations


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3. Briefly explain each NDT method


1. Explain the discontinuities inherent in various manufacturing processes

2. Define the causes, prevention, and repair of those welding discontinuities

3. Explain the discontinuities inherent in various welding processes


1. Explain basic principle of Radiographic examination.

2. Discuss principle of radiographic testing and give its application and limitation

3. Explain the principle, application and disadvantages of Radiographic Testing.


1. Describe the various types of RT equipment

2. Describe the basic principles of gamma and X-ray generation

3. Name the three means of protection to help reduce exposure to radiation


NON DESTRUCTIVE TESTING - MET 312

Max. Marks : 100 Duration : 3 Hours

Part – A

Answer all questions, each question carries 3 marks

1. Define Non-destructive testing?

2. Explain the basic principle of Visual testing?

3. Explain the sequence of operation of Liquid penetrant testing?

4. Explain the basic principle of Liquid penetrant testing?

5. How are the materials classified based on their interaction with a magnetic field?

6. Explain the Hysteresis Loop and Magnetic Properties of a material?


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7. Compare X-rays and Gamma rays?

8. What is Snell’s Law and it’s significance in Ultrasonic Testing?

9. Define the terms (a) Radiation Energy, (b) Intensity

10. What are the physical aspects of E.C.T?

PART -B

Answer one full question from each module.

MODULE – 1

11. a) With the help of suitable examples, differentiate between destructive and nondestructivetesting techniques. (8 Mark)

b) With the help of a neat diagram, explain computer enhanced visual inspection system. (6 Mark)

OR 12. a) Explain visual inspection process. Also explain about the different types of optical aids used

in the process. (8 Mark) b) List the applications and Limitations of Visual inspection technique in ND (6Mark)

MODULE – 2

13. a) How are the penetrants classified based on (8 Mark) a. Physical propertiesb. Removal techniquesc. Strength of indication

b) What are the methods used to remove excess penetrants during LPI (6 Mark) OR

14. a) Explain the working principle of liquid penetrant inspection (LPI). With neat sketches explainthe various steps involved in performing LPI. (8 Mark)

b) Explain different types of developers and how it is being applied (6 Mark)

MODULE – 3

15. a) With the help of neat sketches explain about any four types of magnetization techniques usedin magnetic particle inspection (MPI). (8 Mark)

b) What are the differences between dry and wet continuous MPI? (6 Mark) OR


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16. a) Differentiate between direct and indirect method of magnetization. Write the advantages and disadvantages of both methods. (8 Mark)

b) What is continuous testing and residual technique of MPI (6 Mark)

MODULE – 4

17. a) With the help of neat figures, differentiate between through transmission technique and pulse

echo testing techniques used in ultrasonic testing. (8 mark) b) What are the different types of probes used in ultrasonic testing? (6 mark)

OR 18. a) What are the different wave forms used in ultrasonic testing? (8 Mark)

b) With neat sketches explain the following: (6 mark) i) A-Scan ii) B-Scan iii) C-Scan

MODULE – 5 19. a) With neat sketches explain about the different inspection techniques in radiography testing

(RT). (8 Mark) 1. Explain about various steps involved in film processing in RT. (6 mark)

OR

20. a) Explain the following terms associated with ECT: (8 Mark) i) Lift off effect ii) Edge effect iii) End effect

b) Explain about eddy current testing (ECT) technique in detail. (6 mark)

SYLLABUS Module 1 NDT Versus Mechanical testing-Overview of the Non Destructive Testing Methods for the detection of manufacturing defects as well as material characterisation-Relative merits and limitations-various physical characteristics of materials and their applications in NDT.

Visual Inspection: Fundamentals of Visual Testing – vision, lighting, material attributes, environmental factors, visual perception, direct and indirect methods – mirrors, magnifiers, Boroscopes and fibro scopes– light sources and special lighting–calibration- computer enhanced system

Module 2 Liquid Penetrant Inspection: Principles – types and properties of liquid penetrants – developers – advantages and limitations of various methods - Preparation of test materials – Application of penetrants to parts, removal of excess penetrants, post cleaning – Control and measurement of penetrant process variables –selection of penetrant method – solvent removable, water washable, post emulsifiable – Units


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and lighting for penetrant testing –calibration- Interpretation and evaluation of test results - dye penetrant process applicable codes and standards.

Module 3 Magnetic Particle Inspection (MPI): Important terminologies related to magnetic properties of material, principle-magnetizing technique, procedure, and equipment, fluorescent magnetic particle testing method, sensitivity-application and limitation-Methods of magnetization, magnetization techniques such as head shot technique, cold shot technique- central conductor testing, and magnetization using products using yokes-direct and indirect method of magnetization - continuous testing of MPI, residual technique of MPI- checking devices in MPI, Interpretation of MPI, indications, advantage and limitation of MPI.

Module 4 Ultrasonic Testing: Basic principles of sound propagation, types of sound waves, Principle of UT-methods of UT, their advantages and limitations-Piezoelectric Material, Various types of transducers/probe-Calibration methods, contact testing and immersion testing, normal beam and straight beam testing, angle beam testing, dual crystal probe, ultrasonic testing techniques resonance testing, through transmission technique, pulse echo testing technique, instruments used UT, accessories such as transducers, types, frequencies, and sizes commonly used. Reference of standard blocks-technique for normal beam inspection-flaw characterization technique, defects in welded products by UT-Thickness determination by ultrasonic method;-Study of A, B and C scan presentations-Time of Flight Diffraction (TOFD). Module 5 Radiography: X-rays and Gamma rays, Properties of X-rays relevant to NDE - Absorption of rays - scattering. Characteristics of films- graininess, Density, Speed, Contrast. Characteristic curves. Inspection techniques like SWSI, DWSI, DWDI, panoramic exposure, real time radiography, films used in industrial radiography

Eddy Current Testing: Generation of eddy currents – effect of change of impedance on instrumentation – properties of eddy currents – eddy current sensing elements, probes, type of coil arrangement – absolute, differential, lift off, operation, applications, advantages, limitations Field factor and lift of effect, edge effect, end effect, impedance plane diagram in brief, depth of penetration of ECT, relation between frequency and depth of penetration in ECT.

Text Books

1. Baldev Raj, Practical Non – Destructive Testing, Narosa Publishing House, 1997

2. J.Prasad and C. G. K. Nair, Non-Destructive Test and Evaluation of Materials, Tata McGraw-Hill Education, 2nd edition (2011).

3. B.Raj, T. Jayakumar and M. Thavasimuthu, Practical Non Destructive Testing, Alpha Science International Limited, 3 rd edition (2007).

4. T. Rangachari, J. Prasad and B.N.S. Murthy, Treatise on Non-destructive Testing and Evaluation, Navbharath Enterprises, Vol.3, (1983).


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5. Ed. Peter.J. Shull, Non-destructive Evaluation: Theory, Techniques, and Applications, Marcel Dekker (2002). 2.

Reference Books

1. C. Hellier, Handbook of Non-Destructive Evaluation, McGraw-Hill Professional, 1st edition (2001).

2. J. Thomas Schmidt, K. Skeie and P. Maclntire, ASNT Non Destructive Testing Handbook: Magnetic Particle Testing, American Society for Non-destructive Testing, American Society for Metals, 2nd edition (1989).

3. Krautkramer, Josef and Hebert Krautkramer, Ultrasonic Testing of Materials, Springer Verlag, 1990


No Topic No. of Lectures MODULE 1

1.1

NDT Versus Mechanical testing-Overview of the Non Destructive Testing Methods for the detection of manufacturing defects as well as material characterisation

2

1.2 Relative merits and limitations-various physical characteristics of materials and their applications in NDT

1

1.3 Fundamentals of Visual Testing – vision, lighting, material attributes, environmental factors, visual perception, direct and indirect methods

1

1.4 Mirrors, magnifiers, Boroscopes and fibro scopes 1 1.5 light sources and special lighting, calibration- computer enhanced

system 2

MODULE 2 2.1 Liquid Penetrant Inspection: Principles – types and properties of

liquid penetrants – developers 1

2.2 Advantages and limitations of various methods - Preparation of test materials

1

2.3 Application of penetrants to parts, removal of excess penetrants, post cleaning

1

2.4 Control and measurement of penetrant process variables –selection of penetrant method

1

2.5 solvent removable, water washable, post emulsifiable – Units and lighting for penetrant testing

1

2.6 calibration- Interpretation and evaluation of test results - dye penetrant process applicable codes and standards

2

MODULE 3 3.1 Magnetic Particle Inspection (MPI): Important terminologies related

to magnetic properties of material 1

3.2 Principle-magnetizing technique, procedure, and equipment, fluorescent 1


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magnetic particle testing method, Sensitivity 3.3 Methods of magnetization, magnetization techniques such as head shot

technique, cold shot technique- central conductor testing,

1 3.4 magnetization using products using yokes-direct and indirect method of

magnetization - continuous testing of MPI 1

3.5 residual technique of MPI- checking devices in MPI 1 3.6 Indications, advantage and limitation of MPI. 1

MODULE 4 4.1 Ultrasonic Testing: Basic principles of sound propagation, types of

sound waves, Principle of UT-methods of UT

1 4.2 Piezoelectric Material, Various types of transducers/probe Calibration

methods, contact testing and immersion testing, normal beam and straight beam testing,

1

4.3 Angle beam testing, dual crystal probe, ultrasonic testing techniques resonance testing, through transmission technique, pulse echo testing technique

1

4.4 Accessories such as transducers, types, frequencies, and sizes commonly used. Reference of standard blocks

1

4.5 Technique for normal beam inspection Thickness determination by ultrasonic method

1

4.6 Study of A, B and C scan presentations, Instruments used UT 1 4.7 Time of Flight Diffraction (TOFD). 1

MODULE 5 5.1 Radiography: X-rays and Gamma rays, Properties of X-rays relevant to

NDE - Absorption of rays - scattering 1

5.2 Characteristics of films- graininess, Density, Speed, Contrast. Characteristic curves. Inspection techniques like SWSI, DWSI, DWDI

1

5.3 Panoramic exposure, real time radiography, films used in industrial radiography

1

5.4 Eddy Current Testing: Generation of eddy currents – effect of change of impedance on instrumentation – properties of eddy currents

1

5.5 Eddy current sensing elements, probes, type of coil arrangement – absolute, differential, lift off, operation, applications, advantages, limitations

1

5.6 Field factor and lift of effect, edge effect, end effect, impedance plane diagram in brief, depth of penetration of ECT

1

5.7 Relation between frequency and depth of penetration in ECT. 1


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IET322 MANAGEMENT OF PROJECTS CATEGORY L T P CREDIT PEC 2 1 0 3

PREAMBLE

Goal of this course is to develop skills in identification and formulation of different types of projects, acquire idea about various tools and techniques used in each phase of project and to acquire knowledge on the various project financing options for different types of projects.

PREREQUISITE Nil


CO 1 Understand project ideas, types, screening tools, life cycle, delays, initiation and establishment of charter.

CO 2 Illustrate project planning, execution, closure and appraisal / analysis

CO 3 Explain technology transfer, project financial institutions, organization structures, project implementation and contract management.

CO 4 Apply project implementation planning tools & techniques, construct network diagrams and utilise for solving project management problems.

CO 5 Compute measures of project risks and analysis techniques using project management software and other parameters related to project.


Refer: Page 76 for PO information. PO 1 PO 2 PO 3 PO 4 PO 5 PO 6 PO 7 PO 8 PO 9 PO10 PO11 PO12

CO1 1 1 2 2

CO2 2 2 3 1 2 2

CO3 2 3 2

CO4 1 3 2

CO5 1 2 3 2 2



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ASSESSMENT PATTERN Bloom’s Category Continuous Assessment Tests End Semester Examination

1 2 Remember 10 10 10 Understand 20 20 20 Apply 20 20 70 Analyse Evaluate Create Mark distribution

Total Marks






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COURSE LEVEL ASSESSMENT QUESTIONS Course Outcome 1 (CO1) 1. List the major classifications of projects. 2. Explain different project screening tools. 3. State different phases of project management cycle. Course Outcome 2 (CO2) 1. State the importance of project execution. 2. Compare various aspects of project analysis. 3. Illustrate the importance of EIA. Course Outcome 3(CO3) 1. Explain the phases of technology transfer in projects. 2. Explain the importance of financial institutions in Indian projects. 3. Compare different project organisational structures. Course Outcome 4 (CO4) 1. Explain project implementation and administration process. 2. Illustrate various networking techniques. 3. Distinguish between resource levelling and resource allocation. Course Outcome 5 (CO5) 1. Illustrate different types of risk analysis. 2. Explain the importance of project softwares. 3. Explain the reasons for project audit.


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APJ ABDUL KALAM TECHNOLOGICAL UNIVERSITY SIXTH SEMESTER B.TECH DEGREE MODEL EXAMINATION

COURSE CODE: IET322 COURSE NAME: MANAGEMENT OF PROJECTS


PART A Answer all questions. Each question carries 3 marks 1 List major characteristics of a project. 2 Define the term project charter. 3 Discuss the reasons to do feasibility study. 4 Define the term SCBA. 5 Draw and explain technology life cycle graph. 6 List the essential qualities of a project manager. 7 Define open tenders, write the situations where open tender is commonly used. 8 Define the term resource levelling. 9 Illustrate the three aspects of scenario analysis. 10 List the major applications of project management softwares.

PART B

Answer any one full question from each module. Each question carries 14 marks

Module 1

11 a. Explain various types of project delays in India and their remedies. b. With the help of line diagram explain project management life cycle.

Or

(7 marks)

(7 marks)

12 a. List out the capabilities required for evolving new project ideas. Explain with any two examples. b. Explain the parameters to be included in the project charter to be formulated at the project initiation phase.

(7 marks)

(7 marks)

Module 2

13 a. Explain time management and cost management process in project execution. b. Explain the major procedural steps for conducting financial analysis for a new project.

Or

(7 marks)

(7 marks)

14 a. Define project closure. List and explain activities of this phase.

(7 marks)


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b. List out and explain the major steps in the technical feasibility study of an irrigation project.

(7 marks)

Module 3

15 a. Explain the various stages and procedure of technology transfer related to projects. b. Discuss about any two major and important financial institutions supporting Indian projects.

Or

(7 marks)

(7 marks)

16 a. Define demand forecasting and list different forecasting methods, explain simple regression method with a suitable example. b. With help of a neat diagram explain matrix organization structure.

(7 marks)

(7 marks)

Module 4

17 a. Explain the terms i) e tender ii) contract. b.

Activity Preceding Activity

Optimistic time

Most probable time

Pessimistic

A - 2 4 12 B - 10 12 26 C A 8 9 10 D A 10 15 20 E A 7 7.5 11 F B,C 9 9 9 G D 3 3.5 7 H E,F,G 5 5 5

A project activities are given in the table, different times are given as in days i. Prepare the PERT network diagram. ii. Determine the critical path, time of completion.

iii. Probability that the project is completed within 33 days.

Or

(7 marks)

(7 marks)

18 a. Discuss the major steps in project implementation and administration. b. Explain the contexts where line of balance and line balancing are used.

(7 marks)

(7 marks)

Module 5

19 a. Discuss the common risks measures used for projects. Explain each risk measure with an appropriate example.

(7 marks)


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b. Explain about major project failures and reasons for project audit required at different phases of project.

Or

(7 marks)

20 a. Explain about simulation analysis and decision tree analysis used for project risk management. b. Explain the uses and features of any two project management software.

(7 marks)

(7 marks)

SYLLABUS Module 1: Introduction to Project Management (6 hours)

Projects: Characteristics, Project identification, project ideas, types of projects, BMRED projects. screening of project ideas - project screening tools, project phases, project delays. Project management life cycle: Project initiation, project charter. Module 2: Project Planning & Appraisal (6 hours)

Project planning, execution and closure: Project planning, project execution and project closure. Project appraisal and analysis: Different types of analysis and feasibility studies - market and demand, commercial, technical, economic, ecological and financial. Environmental impact analysis, SCBA. Module 3: Forecasting & Project Finanacing (7 hours)

Project forecasting & Technology Transfer: Demand forecasting for projects, technology transfer process for projects. Project Financing and Organizations: Estimation of project cost, Role of financial institutions, Organizational structures for projects, Qualities of project managers, PMO.

Module 4: Project Implementation (8 hours)

Project Implementation: Project implementation and administration - project organization, contract management, tenders and quotations, tendering procedures, e-tenders, appointment of contractors, contract laws. Project implementation planning tools & techniques and post project evaluation: Project implementation planning – Scheduling and network planning tools and techniques, CPM, PERT, Resource levelling and resource allocation techniques, Post project evaluation. Line of Balance and Line Balancing.

Module 5: Project Risks & Project Audit (8 hours)


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Project risks, measures and analysis: Project risk analysis -sources and measures of risk, sensitivity analysis, scenario analysis, break even analysis, simulation analysis and decision tree analysis.

Project software and project audit: Management of time, cost, quality, change, issues, Project management software -Project audit - post audit, common project failures and reasons for audit.

Text Books

1. Paneerselvam, R. and Senthilkumar, P. (2009). Project Management, PHI.2. Chandra, P. (2019). Projects: Planning, Analysis, Selection, Financing, Implementation and Review,

9th Edition, McGraw-Hill.

Reference Books

1. Gray, C. F., Larson, E. W. and Desai, G. V. (2017). Project Management - The Managerial Process,6th Edition, McGraw Hill.

2. Kerzner, H. (2017). Project Management: A Systems Approach to Planning, Scheduling andControlling, 12th edition, Wiley.

3. Maylor, H. (2004). Project Management, 3rd edition. Pearson Education.


No Topic No. of Lectures 1 Module 1: Introduction to Project Management (6 hours)

1.1 Types of projects 1 hour 1.2 Project ideas 1 hour 1.3 Project phases 1 hour 1.4 Project delays 1 hour 1.5 Project management life cycle- Project initiation 1 hour 1.6 Project charter 1 hour 2 Module 2: Project Planning & Appraisal (6 hours)

2.1 Project planning, Project execution, Project closure 1 hour 2.2 Feasibility studies- market, technical analysis 1 hour 2.3 Demand, financial analysis 1 hour 2.4 Economic, ecological analysis 1 hour 2.5 EIA 1 hour 2.6 SCBA 1 hour 3 Module 3: Forecasting & Project Financing (7 hours)

3.1 Demand forecasting 1 hour 3.2 Different models- linear, simple regression and multiple regression 2 hours 3.3 Technology transfer 1 hour 3.4 Estimation of project cost 1 hour 3.5 Role of financial institutions 1 hour 3.6 Organizational structures for projects, Project managers, PMO 1 hour


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No Topic No. of Lectures 4 Module 4: Project Implementation (8 hours)

4.1 Project implementation and administration 1 hour 4.2 Contract management, Tendering procedures, Contract laws 1 hour 4.3 Network planning tools and techniques 3 hours 4.4 Resource levelling 1 hour 4.5 Resource allocation techniques 1 hour 4.6 Line of Balance and Line Balancing 1 hour 5 Module 5: Project Risks & Project Audit (8 hours)

5.1 Sources and measures of risk 2 hours 5.2 Sensitivity analysis, scenario analysis 2 hours 5.3 Break even analysis 1 hour 5.4 Simulation analysis and decision tree analysis 1 hour 5.5 Project management software 1 hour 5.6 Project audit, Common project failures, Reasons for audit 1 hour

Total 35


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PREAMBLE

This elective course is designed to guide the student to move to the next level of what was included in the

third semester course on Strength of Materials (MET 201 MECHANICS OF SOLIDS). Some of the

materials which are usually preliminary for a paper like this, have got discussed in that prerequisite, and

hence not repeated here. Application of stress and strain analysis in two and three dimensions to solve

engineering problems is what is aimed at. The course is supposed to serve necessary background material

for future courses on Finite Element Method, and advanced courses on Elasticity.

PREREQUISITE

MET 201 MECHANICS OF SOLIDS

COURSE OUTCOMES


CO 1 Formulate the field equations of Elasticity. CO 2 Model some engineering problems as two-dimensional, for easy solutions involving a Stress

Function. CO 3 Develop solutions for axi-symmetric problems for applications in thick pressure vessels and

in rotating circular discs. CO 4 Extend the basic ideas related to theory of elastic flexure, for skewed loading and for beams

which are curved. CO 5 Apply solution methods for torsion in components with non-circular cross sections and thin

walled structures.



PO 11

PO 12

CO 1 3 2 1 CO 2 2 3 1 CO 3 2 3 1 CO 4 3 2 1 CO 5 2 3 1

MET 332 ADVANCED MECHANICS OF SOLIDS

CATEGORY L T P CREDIT PEC 2 1 0 3


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ASSESSMENT PATTERN



Mark distribution

Total Marks


150 50 100 3 hours





1. Formulate all Field equations of elasticity.

2. Establishing the compatibility equations.

3. Realizing the differences between the formulation strategies of solutions in solid mechanics.

4. Formal proof for the uniqueness of the intended solutions.


1. Realization that a vast majority of problems reduces to two-dimensional (either plane-stress or plane strain).


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2. Formulating the Airy’s stress function for two-dimensional problems.

3. Extending the Airy’s method to solve practical problems like that encountered in contact analysis.


1. Formulation of equation for stresses and deflections in axi-symmetric problems.

2. Extend the axi-symmetric solutions for engineering applications in structures which are pressurised from the inside, as well as outside.

3. Extend the axi-symmetric theory to solve stresses and deformations in spinning discs.


1. Extend the basic elastic flexure formula to cases when the load is skewed.

2. Develop the necessary framework to solve stresses in curved beams.


1. Applying the St. Venant’s torsion theory for non-circular cross sections

2. Applying Prandtl’s Stress Function to solve Torsion and its applicability in terms of Membrane Analogy.

3. Stress analysis in thin walled closed sections.


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Course Code : MET332 Course Name : ADVANCED MECHANICS OF SOLIDS

Max. Marks : 100 Duration : 3 Hours

PART – A (ANSWER ALL QUESTIONS, EACH QUESTION CARRIES 3 MARKS)

1. Discuss the different types of boundary conditions encountered in the solution of elasticity problems.

2. What are Compatibility equations? Why are they essential in solving elasticity problems?

3. Express stress-strain relations in Matrix format for Plane-Stress and Plane-Strain problems.

4. Elucidate an example for the application of superposition in solving contact stress problems.

5. Derive expressions for circumferential and axial stresses in a thin cylindrical pipe of diameter ‘d’, thickness ’t’ and subjected to internal pressure ’P’.

6. Derive expressions for Circumferential Strain and Radial Strain for a two-dimensional thick cylinder ( axi-symmetric) problem.

7. Discuss the significance of Shear-Centre in solving Bending of beams.

8. State all relevant assumptions in solving bending stress problems in curved beams using Winkler- Bach theory.

9. Elucidate the difference in approach between St. Venant’s theory and Prandtl’s theory in the solution of torsion problems.

10. How are torsion problems solved experimentally, making use of Prandtl’s membrane analogy?

PART – B (ANSWER ONE FULL QUESTION FROM EACH MODULE)

MODULE – 1

11. (a) For a two-dimensional stress problem described using cylindrical coordinates, derive the equations of equilibrium in terms of (r,θ). (10 Marks)

(b) For the following plane strain distribution, verify whether the compatibility condition is satisfied:

εxx= 3x2y, εyy= 4y2x + 10–2, γxy= 2xy + 2x3 (4 Marks)

12. (a) Given the fact that the strain energy density is positive-definite, show that the field equations of elasticity yields a Unique solution for a given system of forces and boundary conditions. (8 marks)

(b) Derive the equations of equilibrium in rectangular Cartesian coordinates. (6 Marks)


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MODULE – 2

13. Figure shows a cantilever (of depth 2c) loaded by u.d.l. of magnitude ‘q’. If the Airy’s stress function for this problem is φ= A [y5-2c2y3-10x2y3+30c2x2y-20c3x2], (a) show that it is an acceptable stress function for Airy’s method and (b) evaluate ‘A’ for this problem. (14 Marks)

14. If the Airy’ stress function (φ )in polar coordinates for solving contact stresses due to line-load on a straight boundary is φ(r, θ)=- (W/ L π) r θ sinθ ( where ‘W/L’ is the normal load per unit length), (a) show that it is an acceptable stress function for Airy’s method (b) evaluate stresses for this two-dimensional stress-field (c) Show that the reactions offered by the resulting stress balances the externally applied load. (14 Marks)

MODULE – 3

15. (a) Assuming plane stress, the stresses in a hollow thick cylinder of radius ‘a’ and external radius ‘b’ subjected to uniform (compressive) pressure of magnitude Pa and Pb inside and outside respectively is of the form

where ‘r’ is the radius at any point. Evaluate the constants C1 and C2.

(b) Based on the above, develop expressions for (i) an internally pressurised thick cylinder and (ii) thick cylinder under external pressure. Plot the variation of stresses across thickness for both cases.

(14 Marks)

16. A rotating disc (N=3500 rpm) with a hole has an inner radius of 10 cm and outer radius of 35 cm. If the Poisson’s ratio of the material is 0.3 and density is 8050 kg/m3, (i) calculate and plot the distribution of radial and circumferential stresses across the radius (ii) Find the maximum values of radial and circumferential stresses . (14 Marks)

MODULE – 4


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17. Find the maximum stress in the section A-B, if the cross-section is a square of sides 3cm x 3cm,for an applied load of P=3000N. Also, plot the variation of stresses across section, indicating thelocation of centroid and the neutral-axis. (14 Marks)

18. A rectangular beam with a 10 cm ¥ 15 cm section is usedas a simply supported beam of 3 m span.It carries a uniformly distributed load of 1470 N per meter. The load acts in a plane making 30° withthe vertical. Calculate the maximum flexural stress at all corners of the cross-section at the mid-spanand also locate the neutral axis for the same section. (14 Marks)

MODULE – 5

19. Show that the stress function is a valid Prandtl’s stress function for solving torsion

problem on an elliptical cross section of major axis 2a and minor axis 2b. Derive expressions for (i) Angle of twist per unit length (ii) Torsional rigidity (iii) Stresses (iv) Max. Stress. (14 Marks)

20. The cross-section of an aerofoil- model in a small wind-tunnel tested for the torque induced due tocirculation around it, is idealized as shown in figure. If the shear strength of the material used for themodel is 40 MPa and if the shear-modulus, ‘G’ is 26 GPA, find the limiting-torque for which it can betested. How much would it deform (angular deflection) under this condition. Use 3mm wall thickness allaround. (14 Marks)


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SYLLABUS

Module 1

Field equations of Elasticity: Equations of equilibrium in rectangular and cylindrical polar coordinates – strain-displacement-relations - constitutive equations. Boundary value problems: Different boundary conditions- Examples for Displacement Formulation/ Force Formulation. Compatibility equations - Uniqueness of solution and superposition- St. Venant’s principle.

Module 2

Two dimensional problems in elasticity: Stress-strain relations for Plane stress and Plane strain cases. Airy’s Stress Functions for solution of stresses: problems in Rectangular as well as in Polar coordinates- contact stresses due to concentrated normal force (line load) on a straight boundary using Airy’s stress function, and its extension to solve for stresses due to uniform normal pressure.

Module 3

Axisymmetric problems: Thin cylinders pressurized from inside, and thick cylinders pressurized from inside and outside - Rotating disks.

Module 4

Unsymmetrical bending of straight beams possessing two axes of symmetry-shear center- Winkler Bach theory for Bending of curved beams (with rectangular cross-section).

Module 5

Torsion of non-circular bars: St. Venant’s and Prandtl’s methods- solutions for elliptical cress-section. Membrane analogy –torsion of thin walled closed sections .

Text Books

1. Nambudiripad K. B. M, “Advanced Mechanics of Solids- A Gentle Introduction”, Narosa PublishingHouse, First Edition, 2018.

2. Srinath L. S., “Advanced Mechanics of Solids”, Tata McGraw Hill Publishing Company, ThirdEdition, 2009.


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3. Jose S., “ Advanced Mechanics of Materials”, Pentagon Educational Services, Second Edition, 2017.

4. Anil lal S., “ Advanced Mechanics of Solids”, Siva Publications and Distributors, First Edition, 2017.

Reference Books

1. Ragab A. R. and Bayoumi S. E., “Engineering Solid Mechanics, Fundamentals and Applications”, CRC Press, First Edition, 2018.

2. Timoshenko S. P., and Goodier J. N., “Theory of Elasticity”, McGraw Hill (India), Private Limited, NewDelhi, Third Edition, 2010.

3. Sadd M. H., “ Elasticity: Theory, Applications and Numerics”, Academic Press, Indian reprint, 2nd edition, 2012.


No Topic No. of Lectures 1 Module-1: Field Equations 7 1.1 Review of Stress-tensor, strain-displacement relations and strain tensor.

Derivation of Equilibrium equations in rectangular and polar coordinates.

2 Hours

1.2 Generalised Hooke’s law for linearly elastic, homogeneous isotropic solids

1 Hour

1.3 Boundary conditions in Elasticity problems with examples, Displacement Formulation/ Force Formulation Uniqueness of Solutions, Method of Super position

2 Hours

1.4 Compatibility equations, St. Venants Principle

2 Hours

2 Module-2: Two-dimensional problems 7 2.1 Stress-strain relations for Plane –stress and plane strain conditions 1 Hour 2.2 Formulation of the Airys stress function in Rectangular and Polar

Coordinates 2 Hours

2.3 Illustrative examples for solutions using Airy’s stress function 2 Hours 2.4 Contact stresses due to concentrated normal force (line load) on a

straight boundary using Airy’s stress function, and its extension to solve for stresses due to uniform normal pressure.

2 Hours

3 Module-3: Axi-symmetric Problems 7 3.1 Stresses in Thin Cylindrical shells and numerical problems. 1 Hour

3.2 Axisymmetric problems: Basic Formulation 1 Hour

3.3 Application to thick shells 1 Hour 3.4 Numerical problems related to thick shells 1 Hour 3.5 Formulation of rotating disks 1 Hour 3.6 Numerical problems related to rotating disks 2 Hours


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4 Module-4: Special Topics in Bending 7 4.1 Unsymmetrical bending of straight beams possessing two axes of

symmetry. 1 Hour

4.2 Numerical problems related to Unsymmetrical bending of straight beams

2 Hours

4.3 Shear Centre 1 Hour 4.4 Winkler Bach theory for Bending of curved beams 1 Hour 4.5 Numerical problems related to Unsymmetrical bending of straight

beams 2 Hours

5 Module-5: Torsion of Non-Circular Sections 7 5.1 St. Venant’s torsion theory 2 Hours 5.2 Prandtl’s torsion theory 1 Hour 5.3 Membrane Analogy 1 Hour 5.4 Torsion of thin walled cross sections 1 Hour 5.5 Numerical problems on torsion of thin walled sections 2 Hours


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MET 342

IC ENGINE COMBUSTION AND

POLLUTION

CATEGORY L T P CREDIT

PEC 2 1 0 3

PREAMBLE

This course provides basic concepts on fuel-air mixing, theory of combustion in IC engines. To provide knowledge on emission control technologies of IC engines.

PREREQUISITE

Thermal Engineering

COURSE OUTCOMES

After completion of the course the student will be able to

CO1

Explain the basic concepts of fuel air mixing

CO2 Understand the combustion process of SI engine

CO3 Understand the combustion process of CI engine

CO4 Explore various alternate fuels in IC engine

CO5 Describe emission control technologies of IC engine


PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10

PO11

PO12

CO1 3 2

CO2 3 1

CO3 3 1

CO4 3 2 1 1

CO5 3 1 1 1

ASSESSMENT PATTERN


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Mark distribution:


Attendance: 10 marks Continuous Assessment Test (2 numbers) : 25 marks Assignment/Quiz/Course project : 15 marks

End semester pattern: There will be two parts; Part A and Part B. Part A contain 10 questions with 2 questions from each module, having 3 marks for each question. Students should answer all questions. Part B contains 2questions from each module of which student should answer any one. Each question can have maximum 2 sub-divisions and carry 14 marks.


Course Outcome 1 (CO1): 1. Explain the different air-fuel ratios required for different operating conditions of a gasoline

engine? 2. What are the different air fuel mixtures on which an engine can be operated? 3. Explain the following; 1.Richmixture, 2.Stoichiometric mixture3. Lean mixture.


1. What are the major factors to be considered for the design of SI engine combustion chamber?

Bloom Category

Continuous Assessment Tests End Semester Examination

1 2 Remember 10 10 10 Understand 20 20 20 Apply 20 20 70 Analyse Evaluate Create

Total Marks


150 50 100 3 hours


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2. Define the terms flame development and flame propagation in engines 3. Using the pressure crank angle diagram (P-θ) explain the different stages of desirable

combustion in a SI engine .Also explain how abnormal combustion takes place (P-θ) diagram?


1. Briefly explain the thermodynamic analysis of CI engine combustion process. Explain clearly assumption made.

2. Explain the various factors that influence spray penetration in CI engine. 3. What is the effect of EGR in emissions from CI engine?


1. Discuss the salient properties of hydrogen as a fuel. 2. What is the modification to be made in CI engine running on biodiesel? Explain in detail

about the use of the biodiesel as fuel in CI engine and various merits and demerits of it use? 3. Explain the fuel characteristics of alcohols,CNG,LPG & hydrogen?


1. List the major pollutants from SI engines. How can we measure and control each of them 2. What are the effects of pollutants from CI engines on environment and human beings? How

can these are controlled to certain extent. 3. Explain soot and particulate traps.



VI SEMESTER B.TECH DEGREE EXAMINATION

MET342: IC ENGINE COMBUSTION AND POLLUTION

Maximum: 100 Marks Duration: 3 hours

PART A


1. What are the different air fuel mixtures on which an engine can be operated? 2. Why a SI engine requires a rich mixture during idling and at full load? 3. What are factors that influence the flame speed? 4. What are the various factors affecting knock in spark ignition engine? 5. State briefly about air motion in CI engines using diagrams. 6. What is the effect of delay period on Knock in CI engines? 7. List the components present in the measuring chain for pressure measurement in engine research. 8. Write about the different types of alternate fuels available. 9. What are the various pollutants present in combustion products?


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10. What are emission norms? Give the major pollutants that are to be controlled?

(10 X 3 = 30 marks)

PART B

Answer one full question from each module

Module 1

11. Briefly explain the different air-fuel ratios required for different operating conditions of a gasoline engine? (14 marks)

12. Discuss the air fuel ratio requirements of SI engine? (14 marks)

Module 2 13. Explain the stages of combustion in SI engines with suitable flame propagation curve?

(14 marks) 14. What is meant by abnormal combustion .Explain the phenomena of knock in SI engine?

(14 marks)

Module 3 15. Explain with figures various types of combustion chambers used in CI engine.

(14 marks) 16. Explain the phenomenon of spray evaporation and combustion in CI engine

(14 marks)

Module 4 17. Explain the fuel characteristics of biodiesel, CNG,LPG &hydrogen?

(14 marks) 18. Discuss about the HCCI engine.

(14 marks) Module 5

19. Write short notes on the formation of particulate and smooth emission in IC engines? (14 marks)

20. Explain in detail about the different methods used for the measurement of exhaust Emission in petrol engine?

(14 marks)


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SYLLABUS

Module 1 Engine design and operating parameters, Thermo chemistry of fuel-air mixtures Properties of working fluids- unburned mixture composition, burned mixture charts, Exhaust gas composition. Module 2 Ideal models of engine cycles, Availability analysis of engine processes. Combustion in SI engines- Thermodynamic analysis, Flame structure and speed, Cyclic variations in combustion, partial burning and misfire, abnormal combustion Module 3 Combustion in CI engines- Phenomenological model of CI engine combustion, Analysis of cylinder pressure data, fuel spray behaviour Module 4 Utilization of alternate fuels in IC engines- biodiesel, hydrogen, LPG,Natural gas- Advantages and disadvantages- HCCI combustion, ASTM specifications Module 5 Engine emission and air pollution- Genesis and formation of pollutants, SI engine emission control technology - CI engine emission control technology, fuel quality, emission standards Text Books:

1. Ganesan, Internal combustion engines, Tata- Mcgraw Hill Publishers, 2002 2. Ramalingam, K.K., Internal Combustion Engines, Scitech Publications (India) Pvt. Ltd.,

2004. 3. F Obert, IC Engines and air pollution, Intext educational publishers, 1973 4. Mathur,M.L., and Sharma,R.P., A Course in Internal Combustion Engines, DhanpatRai

Publications, 1993.

Reference Books: 1. Heywood JB, IC Engine fundamentals, McGraw hill book Co, 1989 2. W WPulkrabek, Engineering Fundamentals of the IC Engine, 2nd edition, PHI, 2003 3. B. P. Pundir, Engine Emissions: Pollutant formation and advances in control technology,

NarosaPublication,2007


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No. Topic No. of Lectures

1

1.1 Engine design and operating parameters, Thermo chemistry of fuel-air mixtures

4

1.21.2 Properties of working fluids- unburned mixture composition, burned mixture charts, Exhaust gas composition.

3

2 Combustion in SI engines

2.1 Ideal models of engine cycles, Availability analysis of engine processes.

2

2.2 Thermodynamic analysis, Flame structure and speed, Cyclic variations in combustion, partial burning and misfire, abnormal combustion

5

3 Combustion in CI engines

3.1 Phenomenological model of CI engine combustion 4

3.2 Analysis of cylinder pressure data, fuel spray behavior 3

4 Utilization of alternate fuels in IC engines

4.1 Biodiesel, hydrogen, LPG,Natural gas- Advantages and disadvantages

5

4.2 HCCI combustion, ASTM specifications 2

5 Engine emission and air pollution

5.1 Genesis and formation of pollutants 1

5.2 SI engine emission control technology 3

5.3 CI engine emission control technology, fuel quality, emission standards

3


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CODE MET 352

COURSE NAME AUTOMOBILE ENGINEERING


PEC 2 1 0 3

PREAMBLE

The objective of this course is • To know the anatomy of automobile in general • To understand the working of different automotive systems and subsystems • To update the latest developments in automobiles

PREREQUISITE

EST 120 Basics of Mechanical Engineering

COURSE OUTCOMES


CO 1 Explain different automotive systems and subsystems .

CO 2 Illustrate the principles of transmission, suspension, steering and braking systems of an automobile.

CO 3 Build a basic knowledge about the technology in electric vehicles. CO 4 Summarize the concept of aerodynamics in automobiles.



CO1 3 3

CO2 3 3

CO3 3 3

CO4 3 3

ASSESSMENT PATTERN


Remember 10 10 10 Understand 20 20 20 Apply 20 20 70


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Analyse Evaluate Create

Mark distribution

Total Marks


150 50 100 3 hours





1. What is the need of clutch and gearbox in an automobile?

2. List out the factors affecting the maximum torque transmitting capacity of a friction clutch,

3. Define over drive and list out its advantages.


1. Explain Ackermann steering mechanism with a neat sketch.

2. Explain in detail the working and function of ABS braking system.

3. Explain the function and advantages of Double Wishbone Suspension system.


1. What is the difference between an electric vehicle and a hybrid vehicle?


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2. List out the differences in the chassis design of an electric vehicle comparing with the conventional chassis.

3. Explain the basic operation of a fuel cell.


1. What is the significance of aerodynamic lift in vehicles?

2. Explain the concept of ‘Hatch back Drag’.

3. What are the functions of negative lift aerofoil wings.


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MET 352 AUTOMOBILE ENGINEERING


PART A (30 marks)

Answer all questions, each carries 3 marks.

1. List the three types of chassis construction.

2. Explain the loads coming on a chassis frame.

3. Differentiate body roll couple and body overturning couple.

4. Explain the features of Double Wish Bone suspension system.

5. Describe any type of a regenerative brake system.

6. Illustrate the desirable properties of brake pad materials.

7. Define the terms under steer and over steer in automobiles.

8. Explain the advantages of power assisted steering system.

9. Explain the functions of negative lift aerofoil wings.

10. List out the advantages of rear end spoiler in a vehicle.

PART B (70 marks)

Answer any one question from each module, each carries 14 marks.

Module 1

11. a) Explain the working of worm and roller steering gearbox system with the help of a neat sketch.

(7)

b) Explain the common troubles encountered in gear boxes and suggest suitable remedies.

(7)

12. Compare hydraulic, mechanical, electrical and vacuum methods of operating clutches. Describe a hydraulic operated clutch in detail with help of simple diagram.

(14)

Module 2

13. a) Explain the features of McPherson strut suspension system with a neat sketch. ( 8)


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b) Explain the function of an antiroll bar in a four wheeled vehicle. (6)

14. a) Illustrate the working of swing arm rear wheel drive independent suspension. (8)

b) Explain the features of De Dion axle rear wheel suspension. (6)

Module 3

15. a) Explain how the braking efficiency of a vehicle is evaluated? Also detail the parameters that affect the braking efficiency.

(7)

b) Derive an expression for the brakes applied on front and rear wheels. (7)

16. a) Discuss the working and advantages of ABS over conventional systems. (8)

b) Explain the working of a brake caliper with a neat sketch. (6)

Module 4

17. a) Explain the working and advantages of turbocharger with a neat sketch. (8)

b) Explain how oil control ring helps in piston lubrication. (6)

18. a) Explain the basic principle of a hydrogen fuel cell and its efficiency. (8)

b) Explain the technology of high speed electric trains. (6)

Module 5

19. a) Differentiate between fast back drag and hatch back drag. (7)

b) Explain the methods to control the aerodynamic lift in vehicles. (7)

20. a) Illustrate the influence of shape of vehicles on drag coefficients. (7)

b) Explain how profile edge chamfering improves drag in vehicles. (7)


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SYLLABUS

Module 1

Components of an automobile. General classification. Conventional Chassis construction- Types of frames- Frameless constructions. Vehicle dimensions.

Friction clutch: Principle, dry friction clutches- Pull type diaphragm clutch, multiple diaphragm clutch, multi-plate hydraulically operated automatic transmission clutch, semi centrifugal clutch, fully automatic centrifugal clutch, and integral single plate diaphragm clutch. Electromagnetic clutch operation. Clutch friction materials, wet clutch.

Manual transmission- Need of gear box, power to weight ratio, speed operating range-five speed and reverse sliding mesh, constant mesh, and synchromesh gear boxes. Automatic transmission- Epicyclic gear box - torque convertor – Over drives. Automated manual transmission.

Module 2

Suspension: - suspension geometry, terminology- Macpherson strut friction and spring offset - suspension roll centers:-roll centers, roll axis, roll centre height, short swing and long arm suspension, transverse double wishbone, parallel trailing double arm and vertical pill strut suspension, Macpherson strut suspension, semi-trailing arm rear suspension, telescopic suspension. High load beam axle leaf spring, sprung body roll stability. Rear axle beam suspension- body roll stability analysis:- body roll couple, body roll stiffness, body over turning couple.

Rear suspension: - live rigid axle suspension, non drive rear suspension- swing arm rear wheel drive independent suspension. Low pivot split axle coil spring wheel drive independent suspension, trailing and semi trailing arm rear wheel drive independent suspension. Transverse double link arm rear wheel drive independent suspension, De Dion axle rear wheel suspension - Hydrogen suspension, hydro-pneumatic automatic height correction suspension.

Module 3

Brakes: mechanical and hydraulic brakes (review only) – properties of friction lining and pad materials, theory of internal shoe brake, equations –effect of expanding mechanism of shoes on total braking torque, equations. Braking of vehicles:- brakes applied on rear, front and all four wheels, equations –calculation of mean lining pressure and heat generation during braking operation, equations. – braking of vehicle moving on curved path, simple problems.

Anti Lock Braking system (ABS):- hydro-mechanical ABS - hydro-electric ABS - air-electric ABS. Brake servos: - direct acting suspended vacuum assisted brake servo unit operation - hydraulic servo assisted brake systems. Pneumatic operated disc brakes – electronic-pneumatic brakes. Regenerative braking system.

Module 4


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Steering:-basic principle of a steering system– Ackermann –over steer and under steer – slip angle, camber, , king pin inclination, caster, toe-in and toe-out .Steering gear box:-worm and roller type steering gear box – Re-circulating ball nut and rocker lever– need of power assisted steering.

Piston for IC engine, piston rings, piston pin, connecting rod, crank shaft, crank pin, cam shaft, valves, fly wheel, fluctuation of energy and size of fly wheel, hub and arms, stress in a fly wheel rim, simple problems. Fuel injection systems: multiport fuel injection (MPFI) and common rail direct injection (CRDI) systems. Super charging in engines, turbo charger, turbo lag.

Electric Vehicle Technology (EVT): EV Architecture, types of batteries, battery parameters, super capacitors. Fuel cells and its efficiency. EV Chassis – requirements, suspension for EVs. Recent Electric vehicles- Electric mobility aids. Future of electric vehicles –Tesla S, Maglev trains, Electric rail road systems.

Module 5

Aerodynamic drag: pressure drag, air resistance, opposing motion of a vehicle, equations, after flow wake, drag coefficients, various body shapes, base drag, vortices, trailing vortex drag, attached transverse vortices. Aerodynamic lift:-lift coefficients, vehicle lift, underbody floor height versus aerodynamic lift and drag, aerofoil lift and drag, front end nose shape.

Car body drag reduction:-profile edge chamfering, bonnet slope and wind screen rake, roof and side panel chamfering, rear side panel taper, under body rear end upward taper, rear end tail extension, under body roughness. Aerodynamic lift control:- under body dams, exposed wheel air flow pattern, partial enclosed wheel air flow pattern, rear end spoiler, negative lift aerofoil wings. After body drag: - square back drag, fast back drag, hatch back drag, notch back drag.

Text Books

1. Heinz Heisler, Vehicle and engine technology, Butterworth-Heinemann, 2nd edition,1998.

2. R.B. Gupta., Auto design , Satya Prakashan Publishers, New Delhi, 2016 .

3. James Larminie and John Lowry, Electric vehicle technology explained, Wiley publications, 2nd edition, 2015.

4. Kirpal Singh, Automobile Engineering Vol.1 & Vol.2, Standard Publishers, 13th edition, 2020.

Reference Books

4. V.A.W. Hillier, Fundamentals of modern vehicle technology, Butterworth-Heinemann, 2nd edition,1998.

5. Tom Denton, Electric and Hybrid Vehicles, Routledge Publishers, 2nd edition, 2020.


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No Topic No. of Lectures 1 Clutch and transmission 1.1 Introduction, Chassis construction- Types of frames. 1

1.2 Frameless construction, Vehicle dimensions 1

1.3 Principle of dry friction clutches- Single plate, Multi plate. 1

1.4 Semi centrifugal clutch, fully automatic centrifugal clutch, and 1

1.5 Integral single plate diaphragm clutch. Electromagnetic clutch operation., clutch friction materials, wet clutches

1

1.6 Sliding mesh, constant mesh , synchromesh gear boxes, epicyclic gear boxes

1

1.7 Torque converertor, Over drives, Automated manual transmission 1

2 Suspension 2.1 Suspension: - suspension geometry, terminology. Macpherson strut

friction and spring offset. 1

2.2 Suspension roll centers:-roll centers, roll axis, roll centre height, short swing and long arm suspension.

1

2.3 Transverse double wishbone, parallel trailing double arm and vertical pill strut suspension, Macpherson strut suspension, semi-trailing arm rear suspension, telescopic suspension.

1

2.4

High load beam axle leaf spring, sprung body roll stability. Rear axle beam suspension- body roll stability analysis:- body roll couple, body roll stiffness, body over turning couple.

1

2.5 Rear suspension: - live rigid axle suspension, non drive rear suspension- swing arm rear wheel drive independent suspension.

1

2.6 Low pivot split axle coil spring wheel drive independent suspension, trailing and semi trailing arm rear wheel drive independent suspension.

1

2.7

Transverse double link arm rear wheel drive independent suspension, De Dion axle rear wheel suspension. Hydrogen suspension, hydro-pneumatic automatic height correction suspension.

1

3 Brakes


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3.1 Types of Brakes, Properties of friction lining and pad materials. Theory of internal shoe brake, equations

1

3.2 Effect of expanding mechanism of shoes on total braking torque, equations.

1

3.3 Braking of vehicles:- brakes applied on rear, front and all four wheels, equations.

1

3.4 Calculation of mean lining pressure and heat generation during braking operation, equations.

1

3.5

Braking of vehicle moving on curved path, simple problems. Hydro-mechanical ABS - hydro-electric ABS

1

3.6 Air-electric ABS. Brake servos: -direct acting suspended vacuum assisted brake servo unit operation - Hydraulic servo assisted brake systems.

1

3.7 Pneumatic operated disc brakes – electronic-pneumatic brakes. Regenerative braking systems.

1

4 Steering, Engine and EVT 4.1 Ackermann steering mechanism, over steer and under steer . 1

4.2 Worm and roller type steering gear box, Re-circulating ball nut and rocker lever, power assisted steering.

1

4.3

IC engines, piston, rings, pin, flywheel, connecting rod.Crank shaft, crank pin, cam shaft, valve mechanism

1

4.4 Fuel injection systems ,Turbochargers, turbo lag. 1

4.5 EV Architecture, types of batteries, battery parameters, super capacitors. Fuel cells and its efficiency.

1

4.6 EV Chassis – requirements, suspension for EVs. Recent Electric vehicles- Electric mobility aids.

1

4.7 Future of electric vehicles –Tesla S, Maglev trains, Electric rail road systems.

1

5 Aerodynamics in automobiles 5.1 Aerodynamic drag: pressure drag, air resistance, opposing motion of a

vehicle. 1

5.2 Flow wake, drag coefficients, various body shapes, base drag, vortices, 1


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trailing vortex drag, attached transverse vortices.

5.3

Aerodynamic lift:-lift coefficients, vehicle lift. Under body floor height versus aerodynamic lift and drag.Aerofoil lift and drag, front end nose shape.

1

5.4 Car body drag reduction:-profile edge chamfering, bonnet slope and wind screen rake.

1

5.5 Roof and side panel chamfering, rear side panel taper, under body rear end upward taper, rear end tail extension, under body roughness.

1

5.6 Aerodynamic lift control:- under body dams, exposed wheel air flow pattern, partial enclosed wheel air flow pattern, rear end spoiler, negative lift aerofoil wings.

1

5.7 After body drag: - square back drag, fast back drag, hatch back drag, notch back drag.

1


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MET362 PRODUCT DESIGN AND DEVELOPMENT CATEGORY L T P CREDIT

PEC 2 1 0 3

PREAMBLE

•To create confidence in developing new products.•To acquaint with methods and tools for product design and development.•To equip with practical knowledge in conceptualization, design and development of new product.

PREREQUISITE

NIL

COURSE OUTCOMES


CO 1 Determine the life cycle of a product and product development process CO 2 Develop knowledge of robust design and conceptual design CO 3 Introduce the concept of Design for Manufacturing and Assembly in product design. CO 4 Use value engineering in the development of product CO 5 Incorporate ergonomics and rapid prototyping in product development.



PO 11

PO 12

CO 1

3 3 2

CO 2

3 3 2

CO 3

3 3 2

CO 4

3 3 2

CO 5

3 3 2


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ASSESSMENT PATTERN



Mark distribution

Total Marks


150 50 100 3 hours





1. State the features of a good product design.

2. Explain the morphology of design.

3. Describe about the product life cycle.


1. Discuss the brainstorming technique.

2. Discuss about the robust design.


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3. Describe the industrial design process.


1. Explain DFM Method in design.

2. Explain the importance of ergonomics in product design.

3. Explain the environmental impacts derived from the manufacturing sector.


1. Discuss the advantages of value analysis.

2. Compare Value analysis and value engineering.

3. Discuss some of the quantitative economic analysis tool used in industry.


1. Describe the steps in reverse engineering.

2. Explain the concept of Concurrent Engineering, Rapid prototyping

3. Explain about the patenting system.


APJ ABDUL KALAM TECHNOLOGICAL UNIVERSITY SIXTH SEMESTER B. TECH DEGREE EXAMINATION

Course Code: MET362

Course Name: PRODUCT DESIGN AND DEVELOPMENT Max. Marks: 100 Duration: 3 Hours

PART – A

(ANSWER ALL QUESTIONS, EACH QUESTION CARRIES 3 MARKS)

1. How the different types of products are classified? 2. What are the various reasons for the failure of a new product? 3. What are three accuracy points in cam and follower synthesis? 4. What meant by the term “lines of maintenance”? 5. Analyze the corporate social responsibility in ethical view point? 6. Differentiate between fixed cost and variable cost? 7. Explain the term anthropometry? 8. What are the rights of a patentee?


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9. Differentiate between drafting and modelling software with suitable examples?10. Explain different steps in a 3d scanning process

PART – B

(ANSWER ONE FULL QUESTION FROM EACH MODULE)

MODULE – 1

11. Explain the various steps involved the morphology of design? (14 marks)

12. Analyze the steps and responsibilities involved in the development of a new product with the helpof an example? (14 marks)

Module 2

13. Discuss the various steps in robust design process?

14. Analyze the various activities involved in the industrial design process?

(14 marks)

(14 marks)

Module 3

15. a) Elaborate the role of ergonomic factors in product design? (8 marks) b) Analyze the ergonomic factors that need to be considered in the design of a chair?

(6 marks)

16. Explain how the design for assembly affects the product design with the help of two examples?(14 marks)

Module 4

17.

18.

Define Value Engineering. Explain the application of the value engineering concept with the

help of two case studies? (14 marks)

How the cost of a product is determined? Explain with suitable example. (14 marks)

Module 5

19. Analyze the major factors that contribute to the improved product quality by incorporating theconcurrent engineering concept? (14 marks)

20. Explain Stereo-lithography and Fused Deposition Modeling with sketch. Compare the advantagesand disadvantages of these techniques? (14 marks)


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SYLLABUS

Module 1

Introduction: Classification/ Specifications of Products, Product life cycle, product mix.

Introduction to product design, Modern product development process Design by evolution, Design by innovation, Morphology of design

Ethics in product design, legal factors and social issues.

Module 2

Creativity Techniques: Creative thinking, conceptualization, brain storming, primary design, drawing, simulation, detail design.

Conceptual Design: Generation, selection & embodiment of concept, Product architecture.

Industrial design: process, need.

Robust Design: Taguchi Designs, Design of experiments.

Module 3

Design for Manufacturing and Assembly: Methods of designing for Manufacturing and Assembly.

Design for Maintenance. Design for Environment.

Ergonomics in product design.

Aesthetics in product design. Concepts of size and texture color.

Module 4

Value Engineering / Value Analysis: Definition. Methodology, Case studies.

Product costing.

Economic analysis: Qualitative & Quantitative.

Psychological and Physiological considerations.

Module 5

Concurrent Engineering -Elements of concurrent engineering, Benefits

Rapid prototyping: concepts, processes and advantages.

Reverse engineering: steps in reverse engineering- hardware and software in reverse engineering

Tools for product design – Drafting / Modeling software.


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Patents & IP Acts- Overview, Disclosure preparation.

Text Books

1. Karl T Ulrich, Steven D Eppinger, “Product Design & Development.” Tata McGraw Hill, 2003.

Reference Books

1.Baldwin E N & Neibel B W “Designing for Production.” Edwin Homewood Illinois.

2.Bralla J G (Ed.), “Handbook of Product Design for Manufacture, McGraw Hill, NewYork, 1986

3.D. T. Pham, S.S. Dimov, Rapid Manufacturing-The Technologies and Applications of Rapid Prototyping and Rapid Tooling, Springer – Verlag, London, 2001.

4.David G Ullman, “The Mechanical Design Process.” McGraw Hill Inc Singapore 1992

5.Hollins B & Pugh S “Successful Product Design.” Butter worths London, 1990

6.Jones J C “Design Methods.” Seeds of Human Futures. John Willey, 1970

7.Kevin Otto & Kristin Wood Product Design: “Techniques in Reverse Engineering and new Product Development.”, Pearson Education New Delhi, 2000

8.N J M Roozenberg , J Ekels , N F M Roozenberg “ Product Design Fundamentals and Methods .” John Willey & Sons 1995.

9.Andreas Gebhardt, Rapid Prototyping, Carl Hanser – Verlag, Munich, 2003.


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COURSE CONTENTS AND LECTURE SCHEDULE No Topic No. of Lectures 1 Module 1 6 1.1 Introduction: Classification/ Specifications of Products. Product life

cycle. 2

1.2 Product mix. Introduction to product design. Modern product development process.

2

1.3 Innovative thinking. Morphology of design. Ethics in product design Ethics in product design

2

2 Module 2 6 2.1 Creativity Techniques, Conceptual Design: Generation, selection &

embodiment of concept. 2

2.2 Product architecture. Industrial design: process, need. 2 2.3 Robust Design: Taguchi Designs & DOE. 2 3 Module 3 7 3.1 Design for Manufacturing and Assembly: Methods of designing for

Manufacturing and Assembly. 3

3.2 Designs for Maintainability. Designs for Environment. Product costing. 2 3.3 Ergonomics in product design. Aesthetics in product design. 2 4 Module 4 7 4.1 Value Engineering / Value Analysis: Definition. Methodology, 3 4.2 Case studies. 2 4.3 Economic analysis: Qualitative & Quantitative. Product costing. 2 5 Module 5 9 5.1 Concurrent Engineering,

Rapid prototyping: concepts, processes and advantages. 3

5.2 Reverse engineering: steps in reverse engineering- hardware and software in reverse engineering

2

5.3 Tools for product design – Drafting / Modelling software. 2 5.4 Patents & IP Acts. Overview, Disclosure preparation. 2


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PREAMBLE

This course provides student to learn fundamental concepts of advanced welding techniques and their applications to an extent to enable the learner to arrive at a firsthand conclusion on selection of a particular technique best suited to resolve a metal joining problem.

PREREQUISITE

MET204 Manufacturing process COURSE OUTCOMES

After the completion of the course the student will be able to:

CO 1 Explain the physics, equipment, applications of EBW and LBW.

CO 2 Summarise the physics, equipment, applications of diffusion welding and adhesive bonding processes.

CO 3 Contrast the physics, equipment, applications of explosive welding with friction welding.

CO 4 Outline the physics, equipment, applications of ultrasonic welding and brazing.

CO 5 Illustrate the physics, equipment, applications of plasma arc welding and magnetically impelled arc butt welding.

CO 6 Select an appropriate welding technique to resolve a metal joining problem.


Mapping of course outcomes with program outcomes:

PO 1

PO 2

PO 3

PO 4

PO 5

PO 6

PO 7

PO 8

PO 9

PO 10

PO 11

PO 12

CO 1 3 - - - - - - - - - - 2

CO 2 2 - - - - - - - - - - 2

CO 3 2 - - 2 - - - - - - - 3

CO 4 3 - 2 - - - - - - - - 2

MET 372

ADVANCED METAL JOINING TECHNIQUES


PEC 2 1 0 3


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CO 5 2 - - - 1 - - - - - - 2

CO 6 3 - - - 2 - - - - - - 1

ASSESSMENT PATTERN

Bloom’s Category Continuous Assessment Tests End Semester Examination (marks) 1 (marks) 2 (marks)

Remember 20 20 40 Understand 20 20 40 Apply 10 10 20 Analyse - - - Evaluate - - - Create - - -

Mark distribution

Total Marks


150 50 100 3 hours





1. Explain principle of operation of Electron Beam Welding.

2. Illustrate a typical EBW gun.


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3. List 2 applications of laser beam welding. Identify the inherent process capability of LBM which makes it suitable for above listed applications.


1. With the help of suitable diagrams, describe various stages in diffusion welding process.

2. Describe various diffusion welding methods.

3. Explain the physics of adhesive bonding.


1. With the help of suitable diagram, describe parallel stand-off and angular stand-off.

2. Compare the mechanism of metal joining in explosive welding with that of friction welding. Give one application for each.

3. Show the effect of rotational speed on duration of friction welding.


1. Describe principle of operation of ultrasonic welding.

2. List all design considerations for a brazed joint.

3. Make a note on hand torch brazing.


1. Differentiate transferred and non-transferred plasma arc processes.

2. Sketch and explain a plasma arc welding system.

3. Describe the steps involved in MIAB with appropriate diagrams.


1. Select a welding process which is considered relatively best for underwater welding. Correlate relevant process capability of the selected technique to support your selection.

2. Select a welding process that is considered best for welding stainless steel. Correlate relevant process capability of the selected technique to support your selection.

3. Suggest a best welding technique to join materials having thin sections. Explain why.


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SIXTH SEMESTER MET372 ADVANCED METAL JOINING TECHNIQUES

Max. Marks: 100 Duration: 3 hours

Part−A Answer all questions. Each question carries 3 marks.

1. Draw typical joint designs for electron beam welding.

2. How do you define “f number” for a laser beam?

3. What is vacuum fusion bonding?

4. Write a short note on crack extension test performed on adhesive bonds.

5. What is Impact velocity? How critical is it in creating an explosive weld?

6. Sketch and mark a simple friction welding setup.

7. What is principle of operation of ultrasonic welding?

8. List down essential properties of brazing filler metals.

9. What is “keyholing” in plasma arc welding?

10. What are the advantages of magnetically impelled arc butt welding?

Part−B

Answer one full question from each module.

Module I

11. (a) Draw and explain an EBW equipment. (7 marks) (b) Discuss all joint configurations commonly used for LBW. (7 marks)

12. (a) Discuss process characteristics of EBW. (7 marks)

(b) Discuss Carbon Dioxide lasers used for welding. (7 marks)

Module II

13. Explain the theory of diffusion welding process. (14 marks)

14. Classify adhesives used for adhesive bonding and explain their characteristics. (14 marks)

Module III

15. With the help of a neat diagram describe different stages in explosion welding. (14 marks)


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16. Draw and explain various joint designs employed in friction welding. (14 marks)

Module IV

17. State and explain all variables in ultrasonic welding. (14 marks)

18. Write short notes on (i) torch brazing (ii) furnace brazing (iii) vacuum brazing (14 marks)

Module V

19. Explain the principle of operation of MIAB welding and steps involved in it with the help of suitable diagrams. (14 marks)

20. Describe the components of a Plasma Arc Welding system and list all applications of PAW (14 marks)

SYLLABUS

Module 1

Radiant energy welding: Electron Beam Welding (EBW) - principle and theory- equipment and systems- process characteristics and variables- weld joint design- applications- EBW process variants. Laser Beam Welding-principle and theory-operation-types of lasers-process variables and characteristics-applications.

Module 2

Diffusion welding-principle and theory-methods- welding parameters-advantages and limitations-applications. Cold pressure welding-process, equipment and set-up-applications. Adhesive Bonding- principle and theory-types of adhesives-joint design-bonding methods- applications.

Module 3

Explosive welding-principle and theory-process variables-equipment-joint design-advantages and limitations-applications. Friction welding-principle and theory-process variables-advantages and limitations-applications. Friction stir welding- metal flow phenomena-tools-process variables –applications.

Module 4

Ultrasonic welding-principle and theory-process variables and equipment-types of ultrasonic welds- advantages and limitations-applications. Brazing- principle- brazing processes-torch brazing- furnace brazing- vacuum brazing-induction brazing-advantages and limitations-applications.

Module 5

Plasma arc welding –principle and theory- transferred arc and non-transferred arc techniques- equipment-advantages and limitations-applications. Magnetically impelled arc butt (MIAB) welding- principle of


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operation-applications. Under water welding-wet and dry under water welding- set-up for underwater welding systems.

Text Books

1. Parmar R.S., Welding Processes and Technology, Khanna Publishers, Delhi, 1998.

Reference Books

1. ASM Metals Handbook “Welding and Brazing”, Vol.6, ASM, Ohio, 1988

2. Parmar R.S., “Welding Engineering and Technology” Khanna Publishers, Delhi, 1997

3. Rossi, B.E., Welding Engineering, Mc Graw-Hill, 1954

4. Schwartz M.M., “Metal Joining Manual”, McGraw-Hill Inc., 1979

5. Udin et al., Welding for Engineers, John Wiley & Sons, New York, 1967

6. Welding Engineers Handbook – ASHE Vol. I, II, III, IV


No. Topic No. of Lectures

COs

1.1 Radiant energy welding: Principle of Electron Beam Welding and theory.

1 CO1

1.2 Types of EBW welding guns. 1 CO1 1.3 EBW equipment and systems. 1 CO1 1.4 Process variables –effect of beam current on weld penetration-effect of

welding speed on weld penetration. 1 CO1

1.5 Process variants of EBW-medium vacuum EBW and non-vacuum EBW.

1 CO1

1.6 Typical weld joint design and preparation for EBW. 1 CO1 1.7 Weldable materials using EBW and applications of EBW. 1 CO1CO6 1.8 Principle of Laser Beam Welding, mechanism and operation- types of

laser systems- process variables and characteristics. 1 CO1

1.9 Weld joint design – weldable materials and applications of laser beam

welding. 1 CO1

CO6 2.1 Diffusion welding- principle and theory. 1 CO2 2.2 Diffusion welding methods- Gas-pressure bonding, Vacuum fusion

bonding, Eutectic fusion bonding. 1 CO2

2.3 Diffusion welding parameters. 1 CO2 2.4 Weldable materials using diffusion welding- advantages, limitations

and applications. 1 CO2

CO6 2.5 Cold pressure welding equipment and set-up-applications. 1 CO2


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2.6 Adhesive bonding- principle and theory- classification of adhesives and types of adhesive materials.

1 CO2

2.7 Joint design and bonding methods – applications. 1 CO2 CO6

3.1 Explosive welding- principle and theory- process variables. 1 CO3 3.2 Set-up for explosion welding- Joint design- advantages and limitations-

applications. 1 CO3

3.3 Friction welding- principle and theory- process variables. 2 CO3 3.4 Effect of rotational speed on duration of welding- process

characteristics. 1 CO3

3.5 Advantages and limitations-applications. Variants of friction welding-friction stir welding-metal flow phenomena.

2 CO3 CO6

4.1 Ultrasonic welding- principle and theory. 1 CO4 4.2 Ultrasonic process variables and equipment-types of ultrasonic welds. 1 CO4 4.3 Advantages and disadvantages of ultrasonic welding- applications. 1 CO4

CO6 CO6 4.4 Brazing-principle-brazing processes- torch brazing- furnace brazing-

vacuum brazing-induction brazing-advantages and limitations-applications.

2 CO4

5.1 Plasma Arc welding –principle and theory- transferred arc and non-transferred arc processes.

1 CO5

5.2 Plasma arc welding system. 1 CO5 5.3 Advantages, limitations and applications. 1 CO5

CO6 5.4 Magnetically Impelled Arc Butt (MIAB) welding- principle of

operation-applications. 2 CO5

CO6 5.5 Under water welding techniques – wet and dry welding- general

arrangement for underwater welding systems. 2 CO5

SEMESTER VI MINOR


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IET382 INSPECTION AND QUALITY CONTROL

CATEGORY L T P CREDIT VAC 3 1 0 4

PREAMBLE

This course helps the students to understand quality control process and practices, tools and techniques in inspection and quality control, failure and reliability analysis, and total quality management concepts.

PREREQUISITE Nil

COURSE OUTCOMES After the completion of the course the student will be able to CO 1 Understand concepts of statistical process control and process capability.

CO 2 Understand complexities of statistical analysis and control chart interpretation.

CO 3 Apply knowledge on acceptance sampling plans and use them in sampling inspection.

CO 4 Apply concept of reliability and improvement techniques.

CO 5 Apply advanced tools to improve product and service quality.




CO1 3 2 2 2

CO2 3 3 3 2

CO3 3 3 2 3

CO4 3 3 3 3

CO5 3 3 3



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ASSESSMENT PATTERN


1 2 Remember 10 10 10 Understand 20 20 20 Apply 20 20 70 Analyse Evaluate Create

Mark distribution

Total Marks






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COURSE LEVEL ASSESSMENT QUESTIONS Course Outcome 1 (CO1) 1. Define statistical quality control. 2. What is meant by a process is in statistical control? 3. Explain the concept of process capability. Course Outcome 2 (CO2) 1. Distinguish between variables and attributes. 2. List the advantages of control chart for attributes. 3. Explain how assignable causes of variations are identified on and R chart. Course Outcome 3(CO3) 1. What is acceptance sampling? 2. Explain different types of sampling plans. 3. Explain about operating characteristic curve. Course Outcome 4 (CO4) 1. Describe the basic elements of reliability. 2. Discuss about system reliability. 3. Explain redundancy in connection with reliability. Course Outcome 5 (CO5) 1. State the principal objectives of TQM 2. What is KAIZEN? Explain the approach to implement KAIZEN. 3. Explain the statistical base of six sigma.


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SIXTH SEMESTER B.TECH DEGREE EXAMINATION

COURSE CODE: IET382 COURSE NAME: INSPECTION AND QUALITY CONTROL


PART A Answer all questions, each carries 3 marks.

1. Distinguish between common causes and chance causes. Give examples for each. 2. What do you mean by quality assurance? Explain. 3. Distinguish between attribute data and variable data. 4. Name a few quality characteristics which are suitable for and R charts. 5. Under what conditions sampling inspection is preferred to 100% inspection. 6. Explain consumer’s risk and producer’s risk in connection with acceptance sampling scheme. 7. Distinguish between MTBF and MTTR 8. Write notes on standby redundancy. 9. What do you mean by DPMO? Explain. 10. Explain the fundamental principles of TQM.

PART B

Answer one full question from module, each question carries 14 marks.

Module 1

11. a) What do you mean by SQC ? Explain its benefits and limitations. (7 marks) b) Explain the importance of normal curve in sampling theory. (7 marks)

Or 12. a) How will use samples to make estimate about universe ? (6 marks) b) What do you mean by process capability? How can it be measured? (8 marks)

Module 2

13. a) Compare between p chart and c chart. (6 marks) b) Control charts for and R maintained on a certain dimension of a manufactured part measured in

cm. The subgroup size is 4. The values of = 41.283 and for 20 subgroups. Compute the values of 3σ limits for and R charts and estimate the value of σ’ on the assumption that the process is in statistical control. (8 marks)

Or


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14. a) Explain the rules for identifying out of control process. (6 marks) b) Construct an appropriate control chart and infer properly. Lot No. 1 2 3 4 5 6 7 8 9 10 No. of defectives 4 8 2 4 4 6 10 4 6 8 (8 marks)

Module 3

15. a) Explain the working of a double sampling plan. (6 marks) b) Draw an OC curve for the single sampling plan N = 1000, n = 150, c = 2. (8 marks)

Or

16.a) Discuss about standard sampling plans. (6 marks)

b) Draw an AOQ curve and determine the AOQL for the single sampling plan N = 1000, n= 20, c = 1. (8 marks)

Module 4

17. a) Discuss the failure pattern of a complex product. (7 marks) b) A certain type of electronic component has a failure rate of 0.00001/hour. What is its reliability for a specified period of service of 10.000 hours? (7 marks)

Or 18. a) Explain the factors to be considered for achieving a reliable design for a product. (7 marks) b) Discuss about maintainability and availability of an equipment. (7 marks)

Module 5

19. a) Discuss the contributions of W. Edwards Deming for assuring continuous improvement. (6 marks) b) Write notes on i. Quality circles ii. KAIZEN (8 marks)

Or 20. a) Compare between TQM and six sigma. (6 marks) b) Explain the DMIAC methodology in six sigma. (8 marks)


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SYLLABUS

Module 1: Statistical Quality Control (9 hours) Introduction to Statistical Quality Control, definition of quality, basic concept of quality, definition of SQC, benefits and limitation of SQC, Quality assurance, Quality cost- process variability - process control – process capability – process capability studies. Module 2: Statistical Process Control (9 hours) Theory of control chart- uses of control chart – Control chart for variables – R charts- s chart. Control chart for attributes –control chart for fraction defectives – p chart. control chart for number of defectives - np chart. control chart for defects – c chart, u chart and D chart. state of control and process out of control identification in charts. Module 3: Acceptance Sampling (9 hours) The concept of Acceptance sampling, Economics of inspections, Lot by lot sampling – types – probability of acceptance in single, double, multiple sampling techniques – The Operating characteristic curve– producer’s Risk and consumer’s Risk. AQL, LTPD, AOQL concepts-standard sampling plans for AQL and LTPD. Module 4: Reliability (9 hours) Failure data analysis, mean failure rate, mean time to failure, mean time between failure, hazard rate, system reliability, series, parallel and mixed configuration. maintainability and availability. Reliability improvements – techniques - designing for reliability – redundancy unit and standby redundancy. Module 5: Quality Improvement Tools (9 hours) Study of Quality Improvement Tools: Total quality management --philosophies-models-implementation. Quality circles - concepts- objectives - organisational structure. KAIZEN- meaning- management practices. Six sigma- introduction- definition - DMAIC method -roles and responsibilities. Text Books 1. Mithra, A. (1998). Fundamentals of Quality Control and Improvement, Pearson Education.

2. Grant, E. L. (2000). Statistical Quality Control, McGraw Hill.

Reference Books 1. Gupta, R. C. (2003). Statistical Quality Control, Khanna Publishers.

2. Mahajan, M. (2001). Statistical Quality Control, Dhanpat Rai & Sons.

3. Montgomery. (2019). Introduction to Statistical Quality Control, John Wiley & Sons.

4. Sharma, S. C. (2002). Inspection Quality Control and Reliability, Khanna Publishers.

5. Srinath, L. S. (2011). Reliability Engineering, Affiliated East West Press.


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No Topic No. of Lectures 1 Concepts related to Statistical Quality Control (9 hours)

1.1 Definitions and basic concepts of quality. 2 hours 1.2 Definitions of SQC and its benefits and limitations. 2 hours 1.3 Study of quality assurance and quality costs. 2 hours 1.4 Detection of process variability and measurement of process capability. 3 hours 2 Statistical Process Control (9 hours)

2.1 Theory and uses of control charts. 2 hours 2.2 Construction of control chart for variables. 3 hours 2.3 Construction of control chart for attributes. 3 hours 2.4 Rules for identifying out of control processes and various control chart

patterns. 1 hour

3 Acceptance Sampling Plans (9 hours) 3.1 Concepts of acceptance sampling and economies of inspection 2 hours 3.2 Single, double and multiple sampling plans. 2 hours 3.3 Determination probability of acceptance and drawing operating

characteristic curve for sampling plans. 2 hours

3.4 Procedure for selection of sampling plans from standard sampling plans for AQL and LTPD.

3 hours

4 Life Testing and Reliability (9 hours) 4.1 Analysis of failure data. 2 hours 4.2 Determination of system reliability. 2 hours 4.3 Concepts of maintainability and availability 2 hours 4.4 Reliability improvement techniques and standby redundancy 3 hours 5 Study of Quality Improvement Tools (9 hours)

5.1 TQM philosophies, its models and implementation. 2 hours 5.2 Concepts and objectives of Quality circles. 2 hours 5.3 Management practices of KAIZEN. 2 hours 5.4 Concept of Six sigma, DMAIC methodology for its implementation,

roles and responsibilities. 3 hours

Hours 45

SEMESTER VI HONOURS


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IET394 DERIVATIVES AND ALTERNATIVE INVESTMENTS

CATEGORY L T P CREDIT VAC 3 1 0 4

PREAMBLE

After the completion of the course the student will demonstrate a practical knowledge about the investment management in general and in particular reference to the derivatives and financial risk minimizing alternative investments.

PREREQUISITE

Nil

COURSE OUTCOMES After the completion of the course the student will be able to CO 1 Analyse the risks and returns of the financial investments

CO 2 Understand the pricing of the derivatives by analysing the options model

CO 3 Analyse the forward and futures market as a means of minimizing the financial risk of the investors

CO 4 Develop strategies for alternative investments

CO 5 Measure the performance of the alternative investments



CO 1 3 3 2 2 2 3

CO 2 3 3 2 2 2 2 3

CO 3 3 3 2 2 2 3

CO 4 3 3 3 2 2 2 3

CO 5 3 3 3 2 2 3 Strong - 3 Medium - 2 Weak – 1


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ASSESSMENT PATTERN


Test 1 Test 2 Remember 10 10 10 Understand 20 20 20

Apply 20 20 70 Analyse Evaluate Create

Mark distribution

Total Marks






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COURSE LEVEL ASSESSMENT QUESTIONS Course Outcome 1 (CO1) 1. Understand derivatives as a risk minimisation strategy 2. Distinguish business risk and financial risk 3. Explain the concept of risk return trade-off Course Outcome 2 (CO2) 1. Explain the binomial model as a discrete time model 2. Explain the Black-Scholes model as a continuous time model 3. Estimate the theoretical volatility of the options 4. Using of spreadsheet to determine the options price Course Outcome 3 (CO3) 1. State the conditions under which futures and forward prices are equivalent and when they are

different 2. Determine the spot price of an asset 3. Illustrate how intermediate cash flows affect the cost of carry model 4. Present the put- call – forward/futures parity and its pricing Course Outcome 4 (CO4) 1. Understand the major assets classes of alternative investment 2. Develop strategies for strategic asset allocation 3. Explain the characteristics of risk and return for an active investment strategy Course Outcome 5 (CO5) 1. Understand Hedging as a risk mitigation strategy 2. Estimate the risk parameters VAR 3. Managing the beta, Gamma and Vega of hedging 4. Applying the diligence process while making short term and long term investments


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APJ ABDUL KALAM TECHNOLOGICAL UNIVERSITY SIXTH SEMESTER B.TECH DEGREE EXAMINATION

COURSE CODE: IET394

COURSE NAME: DERIVATIVES AND ALTERNATIVE INVESTMENTS


PART A Answer all questions, each question carries 3 marks

1. Determine whether each of the following arrangements is an option. If so, decide whether it is a call

or a put and identify the premium a. You purchase homeowner’s insurance for your house b. You are high school senior evaluating possible college choices. One school promises that if

you enroll, it will guarantee your tuition rate for the next four years c. You enter into a noncancelable, long term apartment lease

2. Distinguish between business risk and financial risk. 3. Consider an option that expires in 68 days. The bid and ask discounts on the Treasury bill maturing

in 67 days are 8.20 and 8.24 respectively. Find the approximate risk free rate. 4. Why do higher interest rates lead to higher call option prices but lower put option prices? 5. Explain the difference between a forward contract and an option. 6. What are the factors that affect the spot price of a storable asset? 7. State the differences between investment and alternative investment. 8. What are the fundamental characteristics of the risk and return for active investment strategy? 9. Explain the difference between market risk and credit risk. 10. Interpret the following statements about Value at Risk

a. VAR of $1.5 million, one week probability =0.01 b. VAR of $3.75 million, one year probability =0.05


Module 1

11. a) How the derivative market is different from cash markets? Explain the various types of derivative

contracts critically. (5 marks)

b) Explain the following important concepts in derivative markets, and also explain how it is similar and dissimilar to the concepts of financial markets.

i) Risk preference ii) short selling


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iii) Return and risk (9 marks)

Or

12. a) Define and provide examples of call options and put options. Explain the importance of over-the-counter options market. (4 marks) b) Explain with a block diagram the mechanics of trading of an Options exchange.

(10 marks)

Module 2

13. a) Consider the following binomial option pricing problem involving an American call. This call has two periods to go before expiring. Its stock price is 30, and its exercise price is 25. The risk-free rate is 0.05, the value of u is 1.15 and the value of d is 0.90. The stock pays a dividend at the end of the first period at the rate of 0.06. Find the value of the call. (6 marks) b) Consider a European call with an exercise price of 50 on a stock priced at 60. The stock can go up by 15% or down by 20% each of the two binomial periods. The risk free rate is 10%. Determine the price today of the option. Then construct a risk-free hedge of long stock and stock option. At each point on the binomial tree, show the composition and value of the hedge portfolio and demonstrate that the return is the same as the risk free transactions. One any revisions to the hedge portfolio, make the transactions in stock and not options. You can borrow any additional funds required at the risk free rate and any excess funds should be invested in risk-free rate. (8 marks)

Or

14. The following option prices were observed for a stock on July 6 of a particular year. Unless otherwise indicated ignore dividends on the stock. The stock is priced at 165 1/8. The expirations are July 17, August 21, and October 16. The risk free rates are .516, .0550, and .0588 respectively.

Strike Calls Puts Jul Aug Oct July Aug Oct

155 10.5 11.75 14 0.1875 1.25 2.75 160 6 8.125 11.125 0.75 2.75 4.5 165 2.6875 5.25 8.125 2.375 4.75 6.75 170 0.8125 3.25 6 5.75 7.5 9

a) Check the following combinations of puts and calls, and determine whether they conform to the

put call parity rule for European options. If you see any violations suggest a strategy. (i) July 155 (ii) August 160 (iii) October 170 (5 marks)

b) Repeat the above using American put call-parity, but need not suggest a strategy. (5 marks)

c) Examine the following pairs of calls, which differ only by exercise price. Determine if any violate the rules regarding relationships between American options that differ only by exercise price. (4 marks)

Module 3

15. a) Explain how the clearing house operates to protect the futures market (5 marks)


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b) (i) On September 26 the spot price of wheat was $3.5225 per bushel and the price of a December wheat futures was $3.64 per bushel. How do you interpret the futures price if there is no risk premium in the futures market? (4 marks)

(ii) In the above problem assume that the interest forgone on money tied up in a bushel until expiration is 0.03, and the cost of storing the wheat is 0.0875 per bushel. The risk premium is 0.035 per bushel. Show how the expected spot price at expiration is related to the futures price today.

(5 marks)

Or

16. a) The open interest in a futures contract changes from day to day. Suppose that investors holding

long positions are divided into two groups: A is an individual investor, and OL represents other investors. Investors holding short positions are denoted as S. Currently A holds 1000 contracts, and OL holds 4200; thus S is short 5,200 contracts. Determine the holdings of A, OL and S after each of the following transactions: (5 marks)

i) A sells 500 contracts, OL buys 500 contracts ii) A buys 200 contracts, S sells 200 contracts

16. b) Use the following data from January 31 of a particular year for a group of March 480 options on futures contract to answer the following questions: (9 marks)

Futures Price : 483.10 Expiration : March 18 Risk free rate : .0284 percent (simple) Call price : 6.95 Put price : 5.25

i) Determine the intrinsic value of the call and put ii) Determine the time value of the call and put iii) Determine the lower bound of the call and put

Module 4

17. a) Explain the features of the major asset classes of alternative investments. (4 marks)

b) Explain with suitable examples the strategic and tactical asset allocation (10 marks)

Or

18. a) Explain the active and passive investment management with examples (4 marks)

b) On November 1, an analyst who has been studying a firm called Computer Sciences believes the company will make a major new announcement before the end of the year. Computer Sciences currently is priced at 27 5/8 and has a beta of .95. The analyst believes the stock can advance about 10 percent if


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the market does not move. The analyst thinks the market might decline as much as 5 percent leaving the stock with a return on .10 +(-.05)(.95)=0.0525. To capture the 10 per cent alpha, the analyst recommends the sale of stock index futures. The March contract currently is priced at 393. Assume the investor owns 100,000 shares of the stock. Setup a transaction by determining the appropriate number of future contracts. Then determine the effective return on the stock if, on December 31, the stock is sold at 28 7/8, the futures contract is at 432.30, and the multiplies is 500. Explain your results. (10 marks)

Module 5

19. The following table lists three financial instruments with their deltas, gammas, and vegas for each $1 million notional principal under the assumption of a long position. Assume that you hold a $12 million notional principal long position in a three-year call option, and $8 million notional short position in the three-year swap, and an $11million notional principal long position in the FRA. Each derivative is based on the 90 day LIBOR

Instrument Delta Gamma Vega 3 year call option with exercise rate 0.12 $40 $1,343 $5.02 3 year swap with fixed rate of 0.1125 $152 -$678 $0 2 year FRA with fixed rate of 0.11 $72 -$390 $0

a) Determine your current portfolio delta, gamma, and vega. Describe in words the risk properties

of your portfolio based on your calculations. (6 marks) b) Assume that you have to maintain your current position in the call option but are free to increase

or decrease your positions in the swap and FRA and you can add a position in a one year call with delta $62, gamma of $2,680, and vega of $2.41. Find the combination of notional principals that would make your overall position be delta, gamma and vega-hedged. (8 marks)

Or

20. Calculate the VAR for the following situations: a) Use the analytical method and determine the VAR at a probability of 0.05 for a portfolio in which the standard deviation of annual returns is $2.5 million. Assume an expected return of $0.0. (7 marks) b) use the historical method and the following information for the last 120 days of returns to calculate an approximate VAR for a portfolio of $20 million using a probability of 0.05. (7 marks)

Less than -10% 5 -10% to -5% 18 -5% to 0% 42 0% to 5% 36 5% to 10% 15 Greater than 10% 4


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SYLLABUS Module 1: Introduction to derivatives (8 hours) Derivatives: Introduction to Derivatives: Derivative markets and instruments, Overview of the Indian derivatives markets, Role of derivative markets and its uses:Forward contracts, Futures contracts, Options, Swaps and other derivatives; Structure of derivative markets: Exchange traded markets, Over the counter markets; Types of traders, Mechanics of trading. Module 2: Options Pricing (9 hours) Types of options, transaction cost; factors influencing option valuation, Principle of Call option pricing, Principle of Put option pricing; Option Pricing model: Binomial model, using Excel(spreadsheet) to calculate the Binomial price,limitation of binomial model, Introduction to the Black-Scholes model. Module 3: Forward, Futures and Swaps (10 hours) Managing Financial risk: Structure of Forward and Futures market, Futures traders, Mechanics of Futures trading, types of Futures contracts and transaction costs; properties of forward and futures prices, Pricing futures: Cost-of-carry model, pricing equity index futures, forward and futures pricing when the underlying generates cash flow; Pricing options on futures: Introduction to intrinsic value, lower bound and put-call parity. Swaps: The structure of Interest rate swaps, pricing and valuation of interest rate swaps; Introduction to Currency swaps and Equity swaps Module 4: Introduction to alternative investments (9 hours) Differences between investments and alternative investments, Major asset classes (Real assets, private equity). Strategic and tactical asset allocation. Alpha and Beta of an investment strategy. Passive and active investment management styles. Fundamental characteristics of risk and return for active investment strategy - tracking error, information ratio, performance analysis Module 5: Financial Risk Management - Hedging (9 hours) Hedging with forward, futures and options, Managing Market risk: Delta, Gamma and Vega hedging, Value at risk(VAR), computing VAR. Real options. Introduction to Investment strategies: Equity Long/Short, Emerging Markets and Short-selling Benchmark selection. Due diligence when investing into hedge funds. Text Books 1. Chance, D. M. and Brooks, R. (2015).An Introduction to Derivatives and Risk Management, 10th

Edition, Southwestern Cengage Learning.

2. Kumar, S. S. S. (2010). Financial Derivatives, Prentice Hall India.


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Reference Books 1. Athanassiou P. (2012). Research Handbook on Hedge Funds, Private Equity and Alternative

Investments. Edward Elgar.

2. Chambers, D. R., Black, K. H. and Lacey, N. J. (2012).Derivatives and Alternative Investments, CFA Institute.

3. Hull, J. C. (2015). Option Futures and Other Derivatives, 9th Edition, Pearson

4. Kevin, R., Mirabile. (2013). Hedge Fund Investing: A Practical Approach to Understanding Investor Motivation, Manager Profits, and Fund Performance, John Wiley & Sons.


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No Topic No. of Lectures 1 Introduction to derivatives (8 hours)

1.1 Derivatives: Introduction to Derivatives: Derivative markets and instruments, Overview of the Indian derivatives markets, 2 hours

1.2 Role of derivative markets and its uses:Forward contracts, Futures contracts, Options, Swaps and other derivatives 2 hours

1.3 Structure of derivative markets: Exchange traded markets, Over the counter markets; Types of traders, Mechanics of trading 4 hours

2 Options Pricing (9 hours)

2.1 Types of options, transaction cost; factors influencing option valuation 1 hours

2.2 Principle of Call option pricing, Principle of Put option pricing 2 hours

2.3 Option Pricing model: Binomial model, using Excel(spreadsheet) to calculate the Binomial price,limitation of binomial model 4 hours

2.4 Introduction to the Black-Scholes model 2 hours 3 Forward, Futures and Swaps (10 hours)

3.1

Managing Financial risk: Structure of Forward and Futures market, Futures traders, Mechanics of Futures trading, types of Futures contracts and transaction costs; properties of forward and futures prices

2 hours

3.2 Pricing futures: Cost-of-carry model, pricing equity index futures, forward and futures pricing when the underlying generates cash flow 3 hours

3.3 Pricing options on futures: Introduction to intrinsic value, lower bound and put-call parity. 3 hours

3.4 Swaps: The structure of Interest rate swaps, pricing and valuation of interest rate swaps; Introduction to Currency swaps and Equity swaps

2 hours

4 Introduction to alternative investments (9 hours)

4.1 Differences between investments and alternative investments, Major asset classes (Real assets, private equity) 1 hour

4.2 Strategic and tactical asset allocation 1 hour 4.3 Alpha and Beta of an investment strategy 4 hours

4.4 Passive and active investment management styles. Fundamental characteristics of risk and return for active investment strategy - tracking error, information ratio, performance analysis

3 hours

5 Financial Risk Management - Hedging (9 hours) 5.1 Hedging with forward, futures and options 1 hour 5.2 Managing Market risk: Delta, Gamma and Vega hedging 2 hours 5.3 Value at risk(VAR), computing VAR 2 hours

5.4 Real options. Introduction to Investment strategies: Equity Long/Short, Emerging Markets and Short-selling Benchmark selection. Due diligence when investing into hedge funds.

4 hours

Total 45 hours


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IET396 FINANCIAL MANAGEMENT CATEGORY L T P CREDIT VAC 3 1 0 4

PREAMBLE

This course helps the students to familiarise with fundamentals of financial management in an organization, time value of money, risk management, various sources of financing business investment, cost of capital, investment decisions, capital structure planning, working capital and capital budgeting.

PREREQUISITE

Nil


CO 1 Describe basic concepts, tools and techniques used for financial decision-making by a business firm.

CO 2 Examine financial statements of a firm.

CO 3 Analyze financial ratios for understanding the financial results and trends of a firm.

CO 4 Describe various capital structure theories and concepts.

CO 5 Analyse the financial viability of an industry or project.



CO 1 3 3

CO 2 2 2 3 3

CO 3 2 2 3 1

CO 4 3 1

CO 5 2 2 3 3



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ASSESSMENT PATTERN


Test 1 Test 2 Remember 10 10 10 Understand 20 20 20

Apply 20 20 70 Analyse Evaluate Create

Mark distribution

Total Marks






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COURSE LEVEL ASSESSMENT QUESTIONS Course Outcome 1 (CO1) 1. Illustrate Time value of Money with the help of an example. Course Outcome 2 (CO2) 1. Explain about goal of financial management. Course Outcome 3 (CO3) 1. Prepare a Trading Account, Profit and Loss Account and Balance sheet from a Trial Balance of your

choice. Course Outcome 4 (CO4) 1. The ratios relating to a company are given as follows:

Gross profit ratio: 15 percent Stock velocity: 6 months Debtor’s velocity: 3 months Creditor’s velocity: 3 months Gross profit for the year ending December 31, 2015 amounts to Rs. 6, 00,000. Closing stock is equal to opening stock. Find out a) Sales b) Closing debtors c) Sundry debtors d) Sundry creditors.

Course Outcome 5 (CO5) 1. What are the traditional capital budgeting techniques? Give an example for each technique.


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SIXTH SEMESTER B.TECH DEGREE EXAMINATION

COURSE CODE: IET396 COURSE NAME: FINANCIAL MANAGEMENT

Marks: 100 Time: 3 hours

Part A


1) Explain about goal of financial management. 2) Illustrate the general format of a Profit and Loss Account. 3) Illustrate the format of a schedule of changes in working capital in fund flow analysis 4) What are the important efficiency ratios? 5) Explain about financial leverage. 6) Explain about the term contribution in Cost Volume Profit analysis. 7) What is meant by EPS? 8) What are the important steps to be taken during short term financial planning of an organisation? 9) What are different types of accounts used in Financial Management? 10) What is meant by term “Capital”? Explain. (10× 3 = 30 marks)

Part B


Module 1

11) Illustrate Time value of Money with the help of an example.

Or

12) Explain about Goal of Financial Management with the help of an example.

Module 2

13) With the help of an example, explain about Fund flow statement.

Or

14) Prepare a Trading Account, Profit and Loss Account and Balance sheet from a Trial Balance of your choice.

Module 3

15) The ratios relating to a company are given as follows:

Gross profit ratio: 15 percent


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Stock velocity: 6 months Debtor’s velocity: 3 months Creditor’s velocity: 3 months Gross profit for the year ending December 31, 2015 amounts to Rs. 6, 00,000. Closing stock is equal to opening stock. Find out a) Sales b) Closing debtors c) Sundry debtors d) Sundry creditors.

Or

16) What is the importance of financial leverage in the decision making process of a company? Explain in

detail about leverage ratios.

Module 4

17) Explain about various capital structure theories.

Or

18) Explain about various sources of finance in domestic and international markets.

Module 5

19) What are the traditional capital budgeting techniques? Give an example for each technique.

Or

20) Explain about important theoretical models of management of cash.. (5× 14 = 70 marks)


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SYLLABUS

Module 1: Scope of Financial Management, Financial Objectives (6 hours)

Nature and Scope of Financial Management; Financial Objectives; Goal of financial management, Financial Management Decisions, Time Value of Money, Computation of EMI, Annuity.

Module 2: Financial Statements (11 hours)

Business Plan preparation, Major financial decision areas – Factors influencing financial decisions, Internal and external factors, Important concepts of Financial Accounting, Financial statements, Funds Flow Analysis.

Module 3: Ratio Analysis (12 hours)

Ratio Analysis: Position statement Ratios, Income statement ratios and composite ratios; Leverage: Financial Leverage, Operating Leverage and Composite Leverage.

Module 4: Capital Structure Theories (6 hours)

Capital Structure; Net Income Approach; Net Operating Income Approach; Traditional Approach and MM Approach, Cost of Capital. Planning for Sources of Finance (Domestic and International).

Module 5: Working Capital Planning and Management (11 hours)

Working capital – Planning and Management. Management of Cash (Various Theoretical Models), Inventories (Including Risk Analysis) and Receivables; Operating Cycle.

Capital Budgeting – Conventional and DCF Methods; Capital budgeting decision criteria, NPV–IRR comparisons, capital rationing, risk analysis. Basic International Capital Budgeting.

Text Books

1. Chandra, P. (2017). Financial Management: Theory and Practice, 9th Edition, Tata McGraw Hill.

2. Gupta, S. K. and Sharma, R. K. (2017). Management Accounting, Kalyani Publishers.

3. Khan, M. Y. and Jain, P. K. (2018). Financial Management, Text, Problems & Cases, 8th Edition, TataMcGrawHill.

4. Pandey, I. M. (2016). Financial Management, 11th Edition, Vikas Publishing House.

Reference Books

1. Bhalla.V. K. (2009). Financial Management and Policy: Text and Cases, 9th Edition, AnmolPublications.

2. Brigham, E. F. and Houston, J. F. (2015). Fundamentals of Financial Management, 10th Edition,


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CengageLearning.

3. Gitman, L. J. and Zutter, C. J. (2017). Principles of Managerial Finance, 13th Edition, PearsonEducation.

4. Horne, J. C. V. and Wachowicz, J. (2010). Principles of Financial Management, 13th Edition, Pearson.

5. Kapil, S. (2015). Financial Management, Wiley.


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No Topic No. of Lectures 1 Scope of Financial Management, Financial Objectives (6 hours)

1.1 FM decisions, 1 hour 1.2 Time Value of Money 2 hours 1.3 Computation of EMI 2 hours 1.4 Annuity 1 hour 2 Financial Statements (11 hours)

2.1 Trading Account 2 hours 2.2 Profit and Loss Account 3 hours 2.3 Balance sheet 3 hours 2.4 Fund flow Analysis 3 hours 3 Ratio Analysis (12 hours)

3.1 Position statement Ratios 2 hours 3.2 Income statement ratios 2 hours 3.3 composite ratios 2 hours 3.4 Financial leverage 2 hours 3.5 Operating Leverage 2 hours 3.6 Composite Leverage 2 hours 4 Capital Structure Theories (6 hours)

4.1 Various capital structure theories 3 hours 4.2 Planning for sources of finance 3 hours 5 Working Capital Planning and Management (11 hour)

5.1 Various methods of working capital planning 1 hour 5.2 Various theoretical models of management of cash 1 hour 5.3 Inventories, Operating cycle. 1 hour 5.4 Capital Budgeting, Conventional and DCF Methods 2 hours 5.5 Capital budgeting decision criteria 2 hours 5.6 NPV–IRR comparisons, Risk analysis 2 hours 5.7 International capital budgeting 2 hours

Total 46 hours

Documents

BTech Industrial Engineering, S5&S6 2019 Syllabus corrected