Criteria2 27.9.13 Final

IFET COLLEGE OF ENGINEERING

DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING

2. Programme Outcomes (150)

2.1 Definition and validation of course outcomes and programme outcomes. (25)

2.1.1 List the course outcomes and programme outcomes. (2)

POs describe what students are expected to know or be able to do by the time of

graduation from the program. Program Outcomes are established as per the process described in

2.1.3. The Program Outcomes of UG in Computer Science Engineering are:

PO1: Engineering Knowledge:

Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization for the solution of complex engineering problems.

PO2. Problem analysis:

Identify, formulate, research literature, and analyses complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural science, and engineering sciences.

PO3. Design/development of solutions:

Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate considerations for public health and safety, and cultural, societal, and environmental considerations.

PO4. 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.

Program Outcomes



PO5. Modern tool usage:

Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modeling to complex engineering activities, with an understanding of the limitations.

PO6. Individuals and teamwork:

Function effectively as an individual, and as member or leader in diverse teams, and in multidisciplinary settings.

PO7. Communications:

Communicate effectively on complex engineering activities with the engineering community and with the 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.

PO8. 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.

PO9. Ethics:

Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO10. 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.

PO11. Change 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.

PO12. Life-long learning:



Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technologies.

On completion of these courses, the students will be able to:

Table 2.1: Courses and their course outcomes

2.1.2 State how and where Pos are published and disseminated.

(Describe in which media (e.g. websites, curricula books) the POs are published and how these

are disseminated to stakeholders)

College Website (http://www.ifet.ac.in)

CSE department website (http://www.ifet.ac.in/department-CSE)

CSE Brochure

CSE Conference CDs

CSE Department HOD room.

CSE Staff room

CSE Lab manuals

Apart from this, Program outcomes are made reachable to all the stakeholders of the

program through education, faculty workshops, student awareness workshops, symposium

programs, student induction programs and faculty meetings.

Course Outcomes



2.1.3 Indicate the process employed for defining Pos. (5)

(Describe the process that periodically documents and demonstrates that the POs are defined in

Alignment with the graduate attributes prescribed by NBA.)

Program Outcomes are established through the consultation process with stake holders

keeping the Graduate Attributes defined by NBA as basis. Department Vision, Mission and

Program Educational Objectives are also kept in view. The professional society namely ACM

guidelines on curriculum and graduate outcomes are also considered in The detailed

establishment process is depicted in Figure 2.1.

Figure 2.1: Process for defining POs

2.1.4. Indicate how the defined POs are aligned to Graduate Attributes prescribed by the NBA



The POs of the programme are well aligned with the Graduate Attributes prescribed by the NBA.

The correlation between POs (Programme outcomes described in Section 2.1.1) and Graduation

Attributes is prescribed in the table below:

Graduate Attributes prescribed by NBA:

A. Engineering Knowledge

B. Problem Analysis

C. Design and Development of Solutions

D. Investigation of Complex problems

E. Modern Tool Usage

F. Engineer and Society

G. Environment and Sustainability

H. Ethics

I. Individual and Team work

J. Communication

K. Life-Long Learning

L. Project Management and Finance

Table 2.2: Alignment of POs to Graduate Attributes

Graduate Attributes

Program outcomes

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

A

B



Strong Contribution No Contribution

2.1.5. Establish the correlation between the POs and the PEOs

As the outcomes are expected to attain by the prime of graduate and PEOs are expected

to attain few years after graduation, they have as many contributions as shown in Table 2.3.

From the table, it is clear than each PEO is contributed to at most 3-4 Program Outcomes and

each Program Outcomes are contributing to at most one PEO.

Table 2.3: Mapping between Program Outcomes to PEOs

PEO Program outcomes

C

D

E

F

G

H

I

J

K

L



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

PEO1 X X X X X

PEO2 X X X X

PEO3 X X X

2.2. Attainment of Programme Outcomes (40)

2.2.1. Illustrate how the Course Outcomes contribute to the PO

(Provide the correlation between the course outcomes and the programme outcomes. The strength of the correlation may also be indicated.)

The program outcomes are achieved through curriculum that offers a number of

mandatory courses as well as elective courses. Each course has defined course outcomes that are

mapped to the program outcomes and a set of performance criteria that are used to provide

quantitative measurement of how well course outcomes are achieved.

The correlation among program outcomes and course outcomes is shown in Table 2.4.

The course outcomes are thus directly and quantitatively assessed, and are tied to the program

outcomes as shown in the course syllabi. Therefore if the course outcomes are met, the program

outcomes are met.

The course outcomes of each core course are mapped to the Program Outcomes with a

level of emphasis being either strong contribution or moderate contribution. The level of



emphasis of a program outcome is determined by the weight used for assessing the outcome in

each course. The level of emphasis for an outcome is determined by the weight as follows:

When the course outcome weight age is < 50%, it will be given as moderate contribution

When the course outcome weight age is >50%, it will be given as strong contribution

Table 2.4: Impact of Program Courses on Program Outcomes

Contribution of courses to program outcomes Course

Outcomes

Program Outcomes

Course No. & titlePO1

PO2

PO3

PO4

PO5

PO6

PO7

PO8

PO9

PO10

PO11

PO12

I SEM

HS2111

TECHNICAL ENGLISH I

CO1: Enable students to acquire the ability to speak effectively in English in real- life situations.

S

CO2: To inculcate the reading habit and to develop effective reading skills.

S

CO3: To familiarize students with different rhetorical functions of scientific English.

S



CO4: To develop students listening skills for academic and professional purposes. Explain the concepts of how information is stored in computers.

W S

CO5: To enable students write letters and reports effectively in formal and business situations.

S

MA2111

MATHEMATICS

– I

CO1. Learn to determine the characteristic equation using Cayley-Hamilton theorem from quadratic form to canonical form using orthogonal transformation

S S

CO2. Learn to estimate three dimensional analytical geometry plane section and equation of a sphere

S

CO3. Knowledge about Differential calculus in curvature in cartesian co-ordinates is effectively determined

S S

CO4. Functions of several variables using functions of partial derivatives for Euler’s theorem estimating homogenous functions

S S

CO5. How to use Multiple integrals for estimation of Cartesian and polar coordinates is formulated with effective results

S S

PH2111

CO1. How To effectively utilize the production in magnetostriction effects like velocity, acoucity and their application

S

CO2. Learn the principles of spontaneous emission and industrial application for the industrial exposure

S W

CO3. Knowledge about the light wave propagation through fiber optic light transmission techniques

S



ENGINEERING PHYSICS – I

CO4. Idea about Physical significance of wave function is attained using desirable parameter for clear understanding

S

CO5. How to calculate and determine cubicle lattices for estimated formulation

S W

CY2111

ENGINEERING CHEMISTRY – I

CO1. Knowledge on the principles of chemistry involving the different application oriented topics required for all engineering branches.

S W

CO2. Learn about the principles water characterization and treatment of potable and industrial purposes

S S

CO3. Principles of polymer chemistry and engineering applications of polymers

S W

CO4. Conventional and non-conventional energy sources and energy storage devices and Chemistry of engineering materials

S W

CO5.

GE2112 FUNDAMENTAL

S OF COMPUTING

AND PROGRAMMIN

G

CO1. Attain knowledge about computer generation, evolution and classification of computers

S

CO2. Clear knowledge about software ,types, software developments and internet operation

S W

CO3. Program basics and codes derived using a program

W S

CO4. Knowledge about the c program and its basic elements to write a c program.

W S

CO5. The pointers usage in a c-program structure is explained along with the functions implementations in “c”.

W S S



GE2111

ENGINEERING GRAPHICS

CO1. Idea about orthographic and isometric projection of simple solids.

S

CO2. Impart knowledge on projection of planes surfaces, lines and points

S

CO3. 2-D computer-aided design software for basic drafting applications

S W

CO4. Acquire knowledge about development of surfaces and sectioning of solids

S

CO5. Learn to extract information from drawings and geometric models for use in analysis and simulation studies.

S W

GE2115

COMPUTER PRACTICE

LABORATORY –I

CO1. Learn about Microsoft Word and perform activities like drawing a flowchart, creating table and merged document, etc.

W S S

CO2. Learn about Microsoft Excel and perform activities like Chart Creation, Formula Editor, Spread sheet and Sorting and import/export features

W S S

CO3. Able to write programs on conditional statements, arrays, structures, unions, functions and recursions.

W S S S

GE2116

ENGINEERING PRACTICES

LABORATORY

CO1. Basic knowledge about plumbing and carpentry components of residential and industrial buildings

S S S W

CO2. Practical experience on welding, basic machining, and sheet metal work W S S

CO3. Acquire knowledge about Machine assembly and Smithy operations & Foundry operations

S S W

II SEM

CO1. Exercises for students in word formation using the prefix ‘self’ - Gap filling with preposition

S



HS2161

TECHNICAL ENGLISH – II

CO2. Reading comprehension exercises for students with questions on overall content discussions analyzing stylistic features.

S

CO3. Reading comprehension exercises for students with critical questions& Multiple choice questions.

S

CO4. Writing exercises for students in descriptions hints also writing argumentative paragraphs formal letters

S

CO5. Case Studies for students and analyzing on problems regarding case study with solutions.

WS

MA2161

MATHEMATICS – II

CO1. Basic knowledge about Differential equations and their prominent role in engineering, physics, economics, and other disciplines

S S W

CO2. Basics of vector calculus comprising of gradient, curl, line, surface and volume integrals which play an integral part in engineering subject.

S S

CO3. Learn about theory of functions of a complex needed for solving a large number of engineering and science problems.

S S

CO4. How to solve complicated integrals of real functions using complex variable

S S

CO5. How to find the solution for linear and partial differential equations

S S

PH2161

CO1. Learn about the characteristics of conductors and their properties

S

CO2. Acquire knowledgesemiconductor materials properties like types and variation temperature

S

CO3. Learn about the origin of super conductor material and their properties for appliance manufacturing

S



ENGINEERING

PHYSICS – II

CO4. Idea about Dielectric materials and their usage for electric appliance field manufacturing

S S

CO5. Knowledge about the characteristics of modern engineering materials and their usage

S S W

CY2161

ENGINEERING CHEMISTRY –

II

CO1. Imports knowledge of principles of electrochemistry, emf, applications of emf measurements, electrochemical cells.

S

CO2. Provide information of corrosion, corrosion control method

S W

CO3. Discovers knowledge of fuels classifications and combustion

S

CO4. Introduces the concepts of alloys, and its applications

S

CO5. Make awareness about analytical techniques of chemical components

S W

EC2151

ELECTRIC CIRCUITS AND

ELECTRON DEVICES

GE2152

BASIC CIVIL & MECHANICAL ENGINEERING

CO1. Basic knowledge about the civil engineering sections like planning and survey

S S

CO2. Learn about structures, building designs, loads applied, stress strain energy

S S

CO3. Knowledge about power plant, boiler design, and hydraulic sections

S S

CO4. Knowledge of automobiles engines, types and working

S S



CO5. Students know about the general using aspects like refrigeration, a/c, types and working

S S

GE2155 COMPUTER PRACTICE

LABORATORY –II

CO1. Study of Unix OS , basic Shell Commands , Unix Editor Spread Sheet utilization effectively by the students in completing & understanding about Unix basics.

S S

CO2. Simple Shell program conditional Statements, testing and Loops for effective usage of Unix programming.

S S

CO3. Dynamic Storage allocations, pointers, functions -file Handling procedures are practiced to make Unix understanding in depth.

S S

GS2165 PHYSICS & CHEMISTRY LABORATORY -

II

CO1. How to determine young’s modulus, specific resistance, viscosity of liquid and dispersive power of prism.

S S

CO2. How to conduct metric titration for acids & base and determination of water of crystallization

S S

EC2155

CIRCUITS AND DEVICES

LABORATORY

III SEM

MA2211

TRANSFORMS AND PARTIAL

DIFFERENTIAL EQUATIONS

CO1: Understand use the method of separation of variables in order to solve some basic partial differential equations via Fourier series

S S

CO2: Understand and develop advanced mathematical models through Fourier transforms, sine and cosine transforms which apply to a range of problems in science and engineering

S S W

CO3: Acquire basic knowledge about formation of partial differential

S S



equations of first, second and higher order with constant coefficients.

CO4: Understand and Model certain physical phenomena using differential equations and reinterpret their solutions physically

S S W

CO5: Understand and apply the properties of the z-transform and difference equations to real systems.

S S W

CS2201

DATA STRUCTURES

CO1: Exemplify and implement how abstract data types such as stack, queue and linked list can be implemented to manage the memory using static and dynamic allocations.

S

CO2: Implement binary tree traversals and operations on binary search trees to design applications like directory structure management and expression trees.

W S W

CO3: Understand the impact of algorithmic techniques and its applications for designing trees and heaps

S W

CO4: Acquire knowledge about different hashing techniques and set applications.

W

CO5: Identify, model, solve and develop code for real life problems like shortest path, network flow, and minimum spanning using graph theory.

W W S

CS2202

Digital Principles and Systems

Design

CO1: Understand different methods used for the simplification of Boolean functions.CO2: Understand and design and implement combinational circuits.

CO3: Design and implement synchronous sequential circuits.

CO4: Design and implement asynchronous sequential circuits.



CO5: Understand the fundamentals of VHDL / Verilog HDL.

CS2203

Object Oriented Programming

CO1: Implement the principles of the object oriented programming paradigm specifically including abstraction, encapsulation, inheritance and polymorphism.

S

CO2: Design, develop, test, and debug programs using object oriented principles in conjuncture with an integrated development environment.

S W

CO3: Construct appropriate diagrams and textual descriptions to communicate the static structure and dynamic behavior of an object oriented solution.

S

CO4:Demonstrate the ability to understand, use, and create functions using friend functions, handle exceptions, files

S

CO5: Demonstrate the ability to work as a team member on a programming project that includes development, documentation, design, and debugging processes of a successful object-oriented C++ program that incorporates advanced object-oriented concepts learned in class.

S W

CS2204

Analog and Digital

Communication

CO1: Understand the fundamental concepts of analog and digital telecommunication systems.CO2: Analyze and Characterize the transmission medium random behavior.

CO3: Analyze and design basic analog and digital modulation schemes to solve more complex problems of telecommunications.CO4: Understand about Data communication and implement the error control and error detection methods.



CO5: Understand about spread spectrum and multiple access techniques.

GE2021

Environmental Science and Engineering

CO1: Understand what constitutes the environment, what are precious resources in the environment.

S

CO2: Analyze and realize how to conserver the resources. W S

CO3: Understand the role of a human being in maintaining a clean environment and useful environment for the future generations.

W S

CO4: Find how to maintain ecological balance and preserve bio-diversity.

W W S

CO5: Analyze the role of government and non-government organization in environment managements.

W S

CS2207

Digital Lab

CO1. To verify Boolean theorems using logic gates.

CO2. To design and implement adder, generator, multiplexer, shift registers, synchronous and asynchronous counters.CO3. To simulate combinational and sequential circuits using VHDL software.

CS 2208

Data Structures Lab

CO1: Develop programming skills to design and implement linked lists, polynomial addition, stack and queue concepts.

W S W

CO2: Apply algorithmic techniques to implement expression tree, binary search tree and AVL trees.

W S W

CO3: Using hashing techniques implement hashing with open addressing and use Prim's algorithm to find MST of undirected graph.

W S W

CO1. To learn the fundamentals of object-oriented design and implementation in C++.

S



CS 2209

Object Oriented Programming

Lab

CO2. To understand and practice the use of C++ classes and class libraries, modify existing C++ classes and develop C++ classes for simple applications.

S

CO3. Students will be able to develop design patterns and frameworks. S

IV SEM

MA 2262

Probability and Queuing Theory

CO1: Have a well – founded knowledge of standard distributions which can describe real life phenomena.

S

CO2: Acquire skills in handling situations involving more than one random variable and functions of random variables.

S S

CO3: Understand and characterize phenomena which evolve with respect to time in a probabilistic manner.

S S

CO4: Be exposed to basic characteristic features of a queuing system and acquire skills in analyzing queuing models.

S S

CO5: A good understanding of queuing models and their applications in real life.

S S W

CS 2251

DESIGN AND ANALYSIS OF ALGORITHM

CO1: Implement algorithms and estimate their worst-case and average-case behaviour.

S

CO2: Apply and analyze the complexity of certain divide and conquer, and greedy algorithms.

S

CO3: Identify and analyze the dynamic programming methods. W S

CO4: Implement backtracking technique to deal with some hard problems such as 8 Queen problem, graph coloring and knapsack problem.

S



CO5: Implement Graph traversals and branch and bound techniques to solve hard problems like knapsack & NP-Hard.

S

CS 2252

Microprocessor & Microcontroller

CO1: Familiar with 8085 & 8086 microprocessors and different instruction set & operation related to each of the instructions.CO2: Familiarizing with software aspects of 8086 and writing programs for different small tasks.CO3: Understand the advanced microprocessors configurations (8087 & 8089). CO4: Familiar with a specific interfacing devices & their interfacing with 8085 MP.CO5: Understand the architecture and operations of 8051 microcontroller.

CS 2253

Computer Organization And

Architecture

CO1: Learn about basics of computers including functional units, bus structures and I/O interfacing

S

CO2: Understand about basic processing unit of computer and its functions

S

CO3: Knowledge about different pipelining techniques and their performance consideration for data and path control

S

CO4: Learn about different memory systems such as RAM, ROM, cache and secondary storage devices.

S W

CO5: Acquire knowledge about accessing of I/O devices, Input/output programming and standard I/O interfaces

S

CO1: Learn about the Processes, threads, and their differences with Interrupts, synchronization, waiting,

W S



CS2254

OPERATING SYSTEM

and atomic behaviors.

CO2: Basic information about the Scheduling, queuing method and deadlock.

S

CO3: Ability to allocate the memory, paging virtually.

S

CO4: Knowledge about Files and storage and its types.

CO5: Conceptual ability to learn about the Input, output, and types of I/O devices

CS 2255

DATABASE MANAGEMENT

SYSTEMS

CO1: Able to design queries using SQL, design principles for logic design of database and normalization approach and perform issues of transaction processing and concurrency control.

S W

CO2: Able to implement commercial relational database system (Oracle) by writing SQL using the system.

S W

CO3: Able to write relational algebra expressions for queries.

S

CO4: Mater sound Be familiar with basic database storage structures and access techniques: file and page organizations, indexing methods including B-tree and hashing.

S

CO5: Working successfully on a team by design and development of a database application system as part of a team.

S S

CS2257

OPERATING SYSTEM LAB

CO1: Learn about the experiments, threads, and their differences with Interrupts, synchronization, waiting, and atomic behaviors.

W S

CO2: Learn the Basic information functions and its problems

W S

CO3: Acquire Knowledge about files Learn about IO devices.

W S

CO1. Able to create tables and perform basic operation like insertion, deletion,

S



CS2258

DBMS LAB

updation, and querying.

CO2. Implement high level programming using front end tools and forms.

S

CO3. Able to design Menu & reports and database implementation.

S

CS 2259

MICROPROCESSOR LAB

CO1. Learn to implement the assembly language programming of 8085,8086 and 8051

CO2. Practical experience on interface concepts of various peripheral device with the processorCO3. Able to write programs for control applications using 8051 microcontrollers.

CS2301

SOFTWARE ENGINEERING

CO1: Able to integrate the process and methods for development of software

S

CO2: Able to analyze the basic requirements of all business and technology infrastructure

W S

CO3: Able to analyze the designing, monitoring and control the system.

S

CO4: Ability to verify, validate debugging and testing techniques

W

CO5: Ability to work in one or more application software and acquire knowledge about software maintenance, project planning, scheduling, risk and configuration management.

W S

MA2265

DISCRETE



MATHEMATICS

CO4: Be exposed to concepts and properties of algebraic structures such as semi groups, monoids and groups.

CS2302

COMPUTER NETWORKS

CO1: Demonstrate how communication works in data networks and the Internet.

S

CO2: Recognize the different internetworking devices and their functions, using simulations.

S W W

CO3: Clearly understand the role of protocols in networking and implement the protocols.

S

CO4: Analyze the services and features of the various layers of data networks.

S

CO5: Be exposed to communication protocols and security protocols.

S

CS2303

THEORY OF COMPUTATION

CO1: Understand the of basic concepts in the Theory of computation and able to construct finite state machines.

S

CO2: Analyze and prove the equivalence of languages described by finite state machines and regular expressions.

S W

CO3: Analyze and construct pushdown automata and the equivalent context free grammars and it will be helpful for researchers.

S W

CO4: To understand the basic properties of Turing Machines and the Decidability.

S

CO5: Understand the challenges for Theoretical Computer Science and its contribution to other sciences and

S S



competitive examinations.

CS2304

SYSTEM SOFTWARE

CO1: Basic relationship between system software and machine architecture.

S

CO2: Design and implementation of assemblers.

S

CO3: Design and implementation of linkers and loaders.

S

CO4: Ability to understand the concept of macro processors.

S

CO5: Learn about the editing and system software tools.

S

CS2305

PROGRAMMING PARADIGMS

CO1: Acquire knowledge on Object Oriented Programming and it will help in developing object oriented programs

S W S

CO2: Gain knowledge about Inheritance and to design programs implementing inheritance

W W S

CO3: Acquire skills in Event-Driven Programming and designing programs using swing components.

W S

CO4: An idea about Generic Programming and Exceptions

W S

CO5: Acquiring knowledge in Multi-threaded programming and Synchronizers.

W S

CS2307

NETWORKS LAB

CO1: Ability to write socket programming for UDP, TCP and sliding window protocols.

W S

CO2: Learn to experiment on simulators like OPNET for MAC and routing protocols.

W S



CS2308

SYSTEM SOFTWARE

LAB

CO1: Design and implementation of assembler, linkers and Loaders and functions.

W S

CO2: Ability to identify and understand the concept of macro processors.

W S

CO3: Learn about the editing and system software tools.

S

CS2309

JAVA LAB

CO1: To develop ability of using OOP to solve simple engineering problems

W S

CO2: Acquire Knowledge about interface, polymorphism and developing programs using it.

W S

CO3: Gain knowledge about designing programs using multi-threaded programming, event-driven and concurrent programming.

W S

VI SEM

CS 2351

ARTIFICIAL INTELLIGENCE

CO1: Acquire Knowledge through solving the complicated problems and learn experience.

W S

CO2: Learning Logic and its reasoning and provide problem solutions.

S

CO3: Planning and search work in real world.

S

CO4: Designing the process, plan, reasoning from the mathematical concepts.

W S

CO5: Learning from intellectual observation.

S W



CS2352

PRINCIPLES OF COMPILER AND

DESIGN

CO1: Design and develop a comprehensive Compiler for a given language.

S W W

CO2: Develop the realistic compilers, for simple programming languages using methods that are close to those used in "real" compilers.

S

CO3: Design and implementation of techniques for intermediate codegeneration.

W S W

CO4: Neutral with respect to implementation languages, algorithms are presented in pseudo-code rather than in any specific programming language, and suggestions for implementation in several different language flavors are in many cases given.

S

CO5: Design and implementation of techniques for code optimization.

W S W

CS2353

OBJECT ORIENTED

ANALYSIS AND DESIGN

CO1: Develop the skills to determine which processes and OOAD techniques should be applied to a given project.

W S W

CO2: Build use case modeling diagrams by identifying use cases, actors and their relationships for a given application.

S W

CO3: Differentiate Sequence & Collaboration diagrams and generate interaction overview diagrams working out the exact time constraints for behavior of the system.

S W

CO4: Construct State diagrams and Implementation diagrams for a given problem.

S W

CO5: Identify classes, class protocols, stereotypes, relationships among the classes and construct class diagrams for a given real time application.

S W



CS2354

ADVANCED COMPUTER

ARCHITECTURE

CO1: To gain knowledge on scheduling and it will help in designing hardware and software.

S

CO2: Acquiring knowledge about Processors and learning to overcome issues while using multiple processors.

S

CO3: To acquire skills in designing systems that can share memory and multitasking.

S

CO4: To get an idea about managing memory while designing the systems.

S

CO5: Acquiring knowledge in framing Multi-core systems.

S

IT2353

WEB TECHNOLOGY

CO1: Able to create tables, lists, frames in web pages using XHTML.

S

CO2: Ability to use the concepts of different style sheets and JavaScript to design a web page.

S

CO3: Exhibit the ability to design and implement web pages using server side programming.

S

CO4: Ability to transform a XML document with XSL into a HTML document.

S

CO5: Ability to develop an web application using web services and Databases

W

CS 2208

UNIX INTERNALS

CO1: Learn about the system design and kernel process.

S W

CO2: Acquire knowledge about the allocation of disk blocks.

S

CO3: Understand different file system process and directory, link and unlink system

S

CO4: Learn about states transition and termination process.

S



CO5: Gain knowledge on memory management, paging and swapping process.

S

CS2357

Object Oriented Analysis And Design Lab

CO1: Students able to Identify Use Cases and develop the Use Case model and UML activity diagram

S

CO2: Be using the identified scenarios find the interaction between objects and represent hose using UML Interaction diagrams.

S

CO3: Students able to identify the User Interface, Domain objects, and Technical services.

S

CO4: Develop architecture diagram with UML package diagram notation & Implement the User Interface layer.

S

GE2321

Communication Skills Lab

CO1: To equip students of engineering and technology with effective speaking and listening skills in English.

S

CO2: To help them develop their soft skills and interpersonal skills, which will make the transition from college to workplace smoother and help them excel in their job.

S

CO3: To enhance the performance of students at Placement Interviews, Group Discussions and other recruitment exercises

S

CS2358

Internet Programming

Lab

CO1: Ability to develop simple web page creation using different style sheets and other basic concepts of HTML.

S W

CO2: Develop Client Side Scripts for Validating Web Form Controls using DHTML.

S W

CO3: Student will create three-tier web applications using JSP and Databases. S S



VII SEM

MG2452

Engineering Economics And

Financial Accounting

CO1: Basic knowledge about managerial economics and decision

analysis

S

CO2: Learn basic idea of different demands and supply analysis

S

CO3: Acquire information about production function and cost analysis

S

CO4: Overview of price determinants and their objectives in market structure

S

CO5: Learn how to perform financial accounting using balance sheet

W S

CS 2401

COMPUTER GRAPHICS

CO1: Learn about 2-Dimensional geometric transformations and output

primitives.

S

CO2: Familiarize with 3-D objects and visualization of data sets.

S

CO3: Able to write graphics programs using OPENGL

S

CO4: Learn to add textures and shadows of 3-D objects.

S

CO5: Acquire knowledge about fractal shapes and ray tracing methods for

object visualization.

S

CS2402

Mobile And Pervasive

Computing

CO1: Design and implement mobile applications to realize location-aware

computing.

S

CO2: Acquire the knowledge to administrate and to maintain a Wireless

LAN.

S

CO3: Design algorithms for location estimations based on different routing

techniques.

S

CO4: Develop mobile computing applications by analyzing their

characteristics and requirements, selecting the appropriate computing

S W



models and software architectures, and applying standard programming

languages and tools.CO5: Discover the basic problems,

performance requirements of pervasive computing applications, and the trends of pervasive computing and its impacts on future computing applications and

society.

S

CS 2403

DIGITAL SIGNAL

PROCESSING

CO1: Knowledge about analog & digital signals and discrete systems

CO2: General idea about different frequency transformation techniques

CO3: Design & implementation of IIR filters

CO4: Design & implementation of FIR filters

CO5: Knowledge about application of digital signal processing

CS2032

Data Warehousing And

Data Mining

CO1: Helps to know about Data warehouse and how to build it.

S

CO2: Provides details about storing data and generating reports

S

CO3: Guides to retrieve the data from the Data Warehouse.

S

CO4: Provides information to classify the data and predict the unknown data.

S

CO5: Provides information about cluster the data.

S

IT2352 CRYPOGRAPHY AND NETWORK

CO1: Identify and classify computer and security threats and develop a

security model to prevent, detect and recover from attacks.

W S



SECURITY CO2: Encrypt and decrypt messages using block ciphers.

S

CO3: Sign and verify messages using well-known signature generation and

verification algorithms.

S

CO4: Design and analyze existing authentication protocols for two party

communications.

S

CO5: Develop code to implement a cryptographic algorithm or write an

analysis report on any existing security product.

S

CS2041

C#

AND

.NET

CO1: Understand the about the .NET platform framework. And Learn the C#

language fundamental basics.

S

CO2: Understand the Object Oriented Programming in C#(Classes, Objects,

Inheritance, Polymorphism)

S

CO3: Learning the Data Structures/File/Stream operations and Understanding Threading concepts in

C#

S

CO4: Knowledge on developing application with Database technology

ADO.NET and XML

S W

CO5: Understand the concept of Web Services technologies, Security and

Application domain

W S

CS 2405

COMPUTER GRAPHICS

LABORATORY

CO1: Extract information from drawings and geometric models for use

in analysis and simulation studies.

S

CO2: Use 2D and 3D computer-aided design software for basic drafting

applications using OPENGL

S S

CO3: Read, understand, interpret issues and structure technical drawings using

BLENDER tools.

S S



CS 2406

OPEN SOURCE LAB

CO1: Understand the Open Source Software Tools and Technologies

S

CO2: Learn how to install software’s in open source environment(YUM

installation)

S

CO3: Understand the uses of various open software’s (Qemu, Samba, CUPS)

S S

CO4: Knowledge of application development using open source

programming language(Qt, Perl, Python)

S S

CO5: Understand the open source technologies and develop applications in

that technology. (PHP)

S S

VIII SEM

GE 2025

PROFESSIONAL ETHICS IN

ENGINEERING

CO1: Students are aware of themselves as members of a profession, with shared community principles.

S

CO2: Students are aware of the ethical implications of their professional choices, and of the communities (employer, customers, society at large) whose interests they serve.

S

CO3: Students can apply ethical principles to resolve situations that arise in their professional lives.

S

CO4: Students know of professional organizations that can help them deal with professional issues.

S

CO5:

IT2403

Software Project Management

CO1: Apply quality models to identify and specify the quality attributes a software system must satisfy. S



CD1: Lecture interspersed with discussions

CD2: Lecture with a quiz

CD3: Tutorial

CD4: Demonstration (Such as model, laboratory, field visit)

CD5: Group Discussion

CD6: Group Assignment/ Mini Project

CD7: Paper Presentation (Symposium, Conferences)

CD8: E-contents of national and international portals like NPTEL

CD9: Seminars

CD10: Guest Lectures

2.2.2. Explain how the modes of delivery of courses help in attainment of the Pos

The following are the various other content delivery methods used to deliver the

Courses:

CO2: Determine the most appropriate verification and validation techniques to be applied in a software development project with the aim of assuring the quality level required.

S

CO3: Identify and determine the practices needed to manage a software system configuration.

S

CO4: Familiar with the interrelation between product quality and process quality.

S

CO5: Apply product and process quality control techniques.

S

CS2451

PROJECT WORK

CO1: Identification of real world problems

S

CO2: Awareness of design methodologies & its implementation

S

CO3: Advanced programming techniques S

CO4: Technical report writing S S



Course Delivery Method

PO1

PO2

PO3

PO4

PO5

PO6

PO7

PO8

PO9

PO10

PO11 PO12

CD1 X X X X

CD2 X X

CD3 X X X

CD4 X X X

CD5 X X X X X

CD6 X X X X X X X

CD7 X X X X X X

CD8

CD9 X X X X X

CD10 X X X X X

Evidence for effectiveness of Course Delivery methods:

It was found that pass percentage of the course Web technology was considerably less,

and after introducing of Group assignments/Projects, the pass percentage has considerably

increased in the consecutive academic years. The result of the corresponding subject is described

below.

Course: IT2353-Web Technology



Course Delivery method: Group Assignment/Project

82.3583.33

95.94

75

80

85

90

95

100

2010-2011 2011-2012 2012-2013

Academic year

Pas

s %

Result

Fig 2.2: Web Technology –CD6

The students gained good result by imparting additional programming skills with group

assignments and projects.

Course: CS2352-Principles of Compiler Design

Course Method: Demonstration (Laboratory), Seminars



81.3790.62

98.65

0

20

40

60

80

100

120

2010-2011 2011-2012 2012-2013

Academic year

Pas

s %

Result

Fig 2.3: Principles of Compiler Design- CD4, CD9

Course: CS222-Microprocessor & Microcontroller

Course Method: Demonstration (Models & Toolkits)

41.9

83.591.12

0

10

20

30

40

50

60

70

80

90

100

2010-2011 2011-2012 2012-2013

Academic year

Pas

s %

Result

Fig 2.4: Microprocessor & Microcontroller- CD4



2.2.3. Indicate the extent to which the laboratory and project course work contribute towards attainment of the Pos.

The curriculum is such that each core subject that contributes to a PO has a laboratory associated

with it. POs are assessed based on the performance of the student both in the core subjects and

laboratory. Students are requested to do mini projects as content beyond syllabus for major core

subjects. At the end of the course students should do a major project as part of the curriculum.

The table below provides the PO, the core subjects that are used to measure it and laboratory

associated with it.

Subjects Along With Lab

GE2112 FUNDAMENTALS OF COMPUTING AND

GE2115 Computer PracticeLaboratory-I

GE2111 Engineering Graphics

GE2116 Engineering Practices Laboratory

PH2111 PH2161Engineering Physics – I, IICY2111, CY2161Engineering Chemistry – I, II

GS2165 Physics and Chemistry Laboratory - II

CS 2201 Data Structures CS 2208 Data Structures Lab

CS 2202 Digital Principles and Systems Design CS 2207 Digital Lab



CS 2203Object Oriented Programming

CS 2209Object Oriented Programming Lab

CS 2252Microprocessors and Microcontrollers

CS 2259Microprocessors Lab

CS 2252Microprocessors and Microcontrollers

CS 2259Microprocessors Lab

CS 2254Operating Systems CS 2257Operating Systems Lab

CS 2255Database Management Systems

CS 2258Data Base Management Systems Lab

CS2302 Computer Networks CS2307 Networks Lab

CS2304 System softwareCS2308 System software Lab

CS2305 Programming paradigmsCS2309 Java Lab

CS2353 Object Oriented Analysis and Design

CS2357 Object Oriented Analysis and Design Lab

IT2353 Web TechnologyCS2358 Internet Programming Lab



Fig 2.5: Subjects along with Lab

The laboratory and project work tasks which are performed for the curriculum are

tabulated in Table 2.6, 2.7, 2.8 and 2.9.

Table 2.6: Laboratory tasks and their contribution to Program Outcomes

DS LAB PO1 P02 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12

Stack and Queue using arrays and dynamic memory allocation.

X X X

Application of Stacks X X X

Circular Queue. X X X

Single linked list, Double linked list, Circular linked list

X X X

Polynomial addition using Circular linked list

X X X

Binary search tree operations and traversal

X X

Operations on AVL X X X

CS2401 Computer Graphics CS2405 Computer Graphics Lab



Project work

For the Engineering students, Project experiences allow them to carry out in-depth study of engineering concepts, while emphasizing hands-on experiences and practical applications. Participating in projects strengthens the student’s resume, and fulfills the requirements of present day employers, who demand sound engineering skills in their employees. We conduct Project Expo every year where final year students present their projects. Among them, best two projects are chosen and prizes are awarded.

Table 2.7: PROJECT (2009-2013) mapping with POs

Project Name Type Domain Presented Achievement Pos

BEST PROJECTS

Web based pattern Mining using D-pattern algorithm

Design Data mining Project Expo Participated PO1, PO2, PO3,PO4, PO7, PO8, PO12

Optimization of load balancing in content delivery network

Design Networks Project Expo Participated PO2, PO5, PO7

tree and B-tree.

Graph traversal techniques.

X X X X

Shortest path algorithms.

X X X X

Linear and Binary Searching.

X X X

Bubble, Selection, Insertion, Quick, Merge, Heap Sorttechniques

X X X



Small data set classification by extending attribute information

Design Data mining Project Expo Participated PO1, PO2, PO3, PO4, PO7, PO8, PO12

An efficient content distributed system via network coding using faster homomorphic encryption

Design Cryptography and network security

Project Expo Participated PO2. PO3, PO4, PO7

Scheduling tasks in Grid workflows using PCP

Design Grid computing

Project Expo Participated PO2, PO3, PO4, PO7

Intrinsic estimation for shadow removal using bilateral filtering



Explore Minits: redundant exploring multimedia information networks

Design Data mining Project Expo Awarded prize

PO1, PO2, PO3, PO4, PO7, PO8, PO12

Random power allocation in wireless network


Authentication of gray scale document images via the use of PNG image with a data repair capability

Design Image processing

Project Expo Participated PO7, PO8

Image segmentation using fixation point


Project Expo Awarded prize

PO7, PO8

A Secured endorsement to circumvent password snatching using iris encryption

Design Biometrics Project Expo Awarded 1 prize

PO2, PO3, PO4, PO7

Separation of overlapped latent finger prints using combined models


Project Expo Awarded 2 prize

PO7, PO8

AVERAGE PROJECTS

Embedding matrix using referential column integrity check in stenographic system



Private record working by combining sanitization and cryptographic techniques



Mobile relay assisted data collection model

Design Mobile Computing

Project Expo Participated PO2, PO3, PO4, PO5, PO7

Three-tier protection scheme for wireless sensor networks

Design Sensor Networks




UP growth: A novel approach for mining high utility item set


Enhanced multi-dimensional fuzzy search for PIMS

Design Artificial Intelligence


Malicious traffic protection for protecting victims

Design Network Security


Mitigating distributed denial of attacks in multi-party application in presence of clock drift




Project name Type Domain Presented at Achievement POs

BEST PROJECTSCall center management Design Data Mining Project Expo Participated PO1, PO2, PO3,

PO4, PO7, PO8, PO12

An improve exponentiation for RSA cryptosystem



Parameter exploration in science and engineering using many task computing

Design Mobile computing


Optimal accounting policies for AAA systems in mobile telecommunication

Design Mobile computing


A vision based approach for deep web data extraction


Distributed features for text categorization



IP fast re-route framework Design Networking Project Expo Participated PO2, PO5, PO7

System for remote patient monitoring and data collection with applicability on E-Health application

Design Real Time application


AVERAGE PROJECTS



Security analysis of the SASI protocol



Scalable video multicast in Hybrid 3G Ad-hoc networks

Design Networks Project Expo Participated PO2, PO5, PO7, PO8

Join task migration and power management in wireless computing

Design Wireless Networks

Project Expo Participated PO2, PO5, PO7

Detecting malicious packet losses



Image encryption algorithm based on S-boxes substitution and chaos random sequence



Non-path based mutual anonymity protocol for de-centralized peer- peer system


An efficient discover model for compose service

Design Web services Project Expo Participated PO2, PO3, PO4, PO7


Project name Type Domain Presented Achievement POs

BEST PROJECTS

Packet Sniffer with Data capturing


A parallel plan for incorporating partitioning in scope optimizer


A combined approach of Artificial intelligence and swarm intelligence for travelling Salesman problem

Design Artificial intelligence


PO2, PO5, PO7, PO8

Advance wireless networks with energy and time constraints

Design Wireless network

Project Expo Participated PO2, PO5, PO7

Anomaly Detection using cross-protocol correlation




Deriving metrics based on QoS routing mechanisms for network security



Analysis of Scanning worms Design Mobile Computing


Integration of file replication & consistency maintenance in P2P systems.

Design Mobile Computing


Image watermarking on client side using ST-DM algorithm



The analysis and realization of P2P network security

Design Network security


PO2, PO3, PO4, PO7, PO8

Reducing false positive using an effective anti-phishing mechanism

Design Network security

Project Expo Awarded prize

PO2, PO3, PO4, PO7, PO8

AVERAGE PROJECTS

Probability based detection of data leakage

Design Network Project Expo Participated PO2, PO5, PO7

Dual key establishment for secure transmission of data at nodal level


Minimizing queue overflow in wireless network


A distinct method of file transferring in wireless network through war drop equilibrium


Inconsistency resolution in online database

Design Data Warehousing

Project Expo Participated PO1, PO2, PO3, PO4, PO7, PO8, PO12

A GPS simulation based on uncertainty aware path cloaking algorithm using genetic engineering


Prevention of shared root node attack in MAODV



BOTNET Tracking Design Cryptography and network




2.3 Evaluation of the attainment of Programme Outcomes (75)

2.3.1 Describe assessment tools and processes used for assessing the attainment of each

PO (50)

The step by step process for assessing program outcomes is tabulated in Table 2.10. The

assessment process involved in the assessment of Program Outcomes is shown in Figure 2.1:

Step 1: The Program coordinator analyses each outcome into elements (different abilities

specified in the outcome) and a set of attributes are defined for each element (actions that

explicitly demonstrate mastery of the abilities specified). In addition, generate well

designed surveys to assess the outcome.

Step 2: For each outcome define performance indicators (Assessment criteria) and their

targets.

Step 3: Identify/select courses that address the outcome (each course contributes to at least

one of the outcomes). Hence, each outcome is assessed in several courses to ensure that

students acquire an appropriate level in terms of knowledge/skills of an outcome.

Step 4: The module coordinators collects the qualitative and quantitative data and were

security

Enforcing minimum cost and multicast routing against selfish information flows




used for outcome assessment in a continual process.

Step 5: The Program Assessment Committee analyze the collected data. If the assessed

data meets the performance targets which are specified in step 2, the outcome is attained.

Otherwise, consider step6.

Step 6: The Department Advisory Board recommends content delivery methods/course

outcomes/ curriculum improvements as needed.

Fig 2.6: PO Assessment Process

Table 2.10: Step-by-step process for assessing Program Outcomes

Tools for assessment of Pos

Every academic year the POs are assessed based on direct measures and indirect measures

Assessment methods :

Indirect Measurement

Direct Measurement

Rubrics

1. Indirect measures:

The following surveys are performed in order to assess the POs by the Accreditation Council

every year. The results are consolidated and submitted to the Programme Administrative

Committee.

1.1. Employer Survey:



This survey requests the employers to rate both the appropriateness and achievement of all

the POs and the extent to which the graduates achieve the PO’s.

A survey form is designed and disseminated to several industrial representatives who have

employed our students. In short, the POs or questions related to the attainment of POs are

presented and the employers are asked to say whether the graduate posses the skill set related

to the PO are not.

The survey also includes a section to provide open comments. When POs are stated to be not

achieved by the employer they are requested to provide reasons and suggestions to improve

the POs in the open comment section.

Feedback from the employer is collected for every year for approximately 5-10 employers.

1.2. Alumni Surveys:

Akin to the employer survey described above, the alumni are requested to assess the

attainment of the POs.

Again, The POs or questions related to attainment of POs presented and the alumni are asked

to say whether they possess the appropriated skill set related to the POs or not as described in

the employer’s survey.

The survey also includes a section to provide open comments.

When POs are stated to be not achieved by the alumni, they are requested to provide reasons

and suggestions to improve the POs in the open comment section.

Feedback from the aluminous is collected for every year from approximately 10-15 alumni.

1.3. Students program end Surveys:



Students are asked to evaluate the related POs akin to the alumni at the end of the program.

They can provide accurate feedbacks about whether they have acquired the required skill set

are not.

As described above, the students’ are requested to assess the appropriateness and the

attainment of the PO.

The POs or questions related to attainment of POs presented and the students are asked to say

whether they possess the appropriated skill set related to the POs or not as described in the

employer’s survey.

The survey also includes a section to provide open comments.

When POs are stated to be not achieved by the student they are requested to provide reasons

and suggestions to improve the POs in the open comment section.

Feedback from the students is collected for every student after completing the course.

2. Direct Measurement:

Direct measures described below are done for each course that are related to each PO and the

results are documented in the course file and submitted to the Accreditation Council which will

consolidate the assessments of the courses for each POs and evaluates the level of achievement.

The report on final achievement of POs is submitted to the Programme Administrative

Committee for the further process.

2.1. Final Subject Pass Percentage

The final pass percentage of course related to the Program Outcomes is also used to measure the

particular Program Outcome attainment level.

2.2. Final Lab Pass Percentage

The final lab pass percentage of course related to the Program Outcome is also used to measure

the particular Program Outcome attainment level.



2.3. Co-curricular & Extra-curricular activities

The college has given opportunities to the students to gain Communication Skills, Personality

Development, Emotional Quotient and Intelligence Quotient, Organizational skills and

Leadership qualities through co-curricular and extra-curricular activities. To hearten the skills

and to embellish the study, students participate in various skill- rendering events of paper

presentation, Technical quiz, Seminars, Guest lectures, workshops, event organization, NSS

activities, etc. These criteria’s are also used to measure the particular Program Outcome

attainment level.

3. Rubrics

A rubric basically articulates the expectations for student performance. It is a set of criteria for

assessing student work or performance. Rubrics are particularly suited to learning outcomes that

are complex or not easily quantifiable for which there are no clear ‘right’ or ‘wrong’ answers or

which are not evaluated with standardized tests or surveys. Other than the above major direct

assessment tools, Rubrics are used to assess the attainment of POs which are described under the

respective Program Outcome assessment tool descriptions.

Program Outcome Assessment Tools

Courses ConsideredPerformance

CriteriaAssessment

MethodWeightage in

%Duration

PO1: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization for the solution of complex engineering problems.

1. MA2111-Maths I2. PH2111- Physics3. CY2111- Chemistry4. BCME5. GE2112-FOC6. MA2161-Maths II7. PH2161 Engineering Physics – II8. CY2161 Engineering Chemistry – II9. EC2151-ECED10. MA2211-TPDE

How students applies knowledge of mathematics/ Science and basic computer science and engineering principles to provide

Indirect Method:Alumni Survey

10% (wt1)

End of the Academic

Year

Employer Survey

10% (wt2)

Student Program End Survey

10% (wt3)

Direct MethodEnd of the



11. CS2201-DS12. CS2203-OOPS13. CS2255-DBMS14. CS2301-SE15. CS2302-CN16. CS2303-TOC17. CS2251-DAA18. IT2353-WT19. GE2115-CP LAB20. GS2165-P&C LAB21. EC2155-CD LAB22. CS2208-DS LAB23. CS2209-OOPS LAB24. CS2258-DBMS LAB25. CS2358- IP LAB

numerical solution to model the problem

University Result

60% (wt4)

AcademicYear

Co-curricular

10% (wt5)

Rubrics: Evaluation Criteria for PO1

Level 4 (Excellent)

Successfully applies this knowledge in science and engineering to solve engineering problems exceeding the requirements.

Level 3 (Good)Satisfactorily applies knowledge in science and engineering to solve engineering problems satisfying minimum requirements.

Level 2 (Average)Applies the knowledge but solves the engineering problem with errors

Level 1 (Poor)Fails to apply knowledge in mathematics and science to solve engineering problem

Score Levels of PO1 attainment



Assessment

methods with

weightage

Level 1

(Excellent)

Level 2

(Good)

Level 3

(Average)

Level 4

(Poor)

Alumni Survey (10%)

To what extent the study of Mathematics and Sciences helped in analyzing the problems in your career

EXCELLENT SATISFACTORY MODERATE WEAK

Graduate exit survey

(10%)

Highly satisfiedgraduates

performance

Satisfiedgraduates

performance

Moderately Satisfiedgraduates

performance

Not Satisfiedgraduates

performance

Student Program End Survey (10%)

What is the impact of the study of Mathematics and Sciences in solving engineering problems?

STRONG MODERATE LOW NO

University Result (60%)

Scoring S (10)

grade in the

subjects

Scoring A(9), B(8)

and C(7) grades in

the subjects

Scoring D(6)

and E(5) grades

in the subjects

Scoring

U(FAIL) grade

in the subjects

Co-curricularActivities (10%)

Excellent

Participation

Good

Participation

Moderate

Participation

Weak

Participation

Program Outcome Assessment Score PO1 = wt1 * alumni satisfactory response +wt2 *

employer satisfactory response + wt3 * student satisfactory response +wt4 * student score in

university exam + wt5 * student score in Co-curricular activities

PO4: 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.

1. GE2115-CP LAB

2. CS2208-DS LAB

3. CS2258-DBMS LAB

4. CS2209-OOPS LAB

5. CS2358-WT

The student’s ability to understand the definition of the problem and to formulate its specifications.

The student’s ability to recognize the data requirements.

The student’s ability to identify Algorithms and specify the software


10% (wt1)

End of the

Academic Year

Employer Survey

10% (wt2)


10% (wt3)

Direct Method



LAB6. CS2357-

OOAD LAB7. GE2116-EG

LAB8. CS2257-OS

LAB9. CS2307-

Network lab10. CS2451-

Project Work

tools, hardware requirements needed for a given problem. University

Result60% (wt4)

Lab exp Mark

10% (wt5)

Rubrics:

Evaluation

Criteria

PO4

Level 1 (Excellent)

Fully prepares the scope of the experiment, its design content, and the core principles required for analysis.Successfully conducts the experiment Successfully analyzes the output and understands the output of the experimentDocumentation is complete and well organized Level 2 (Satisfactory)

Fully prepares the scope of the experiment, but design content is weak.Satisfactorily conducts the experiment Satisfactorily analyzes the output and understands the output of the experimentDocumentation is generally adequate with respect to completeness and presentation

Level 3 (developing)

Fully prepares the scope of the experiment, but does not able to design.Needs some help while conducting the experiment Partially analyzes the output and understands the output of the experimentDocumentation is both partially missing and not organized properly



Score Levels of PO4 attainment

Assessment methods with weightage

Level 1

(Excellent)

Level 2

(Good)

Level 3

(Average)

Rubrics: Evaluation

Alumni Survey (10%)

EXCELLENT SATISFACTORY MODERATE

Graduate exit survey(10%)


performance

Satisfiedgraduates

performance


performance

Student Program End Survey (10%)

STRONG MODERATE LOW

University Result (60%)

Scoring S (10) grade in the subjects

Scoring A(9), B(8) and C(7) grades

in the subjects

Scoring D(6) and E(5) grades in the subjects

Co-curricular Activities

(10%)

Excellentparticipation

Goodparticipation

Moderateparticipation

Program Outcome Assessment Score for PO4 = wt1 * alumni satisfactory response +wt2 *

employer satisfactory response + wt3 * student satisfactory response + wt4 * student score in

university exam + wt5 * student lab performance

PO3: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate considerations for public health and safety, and cultural, societal, and environmental considerations.

1. CS2251-DAA2. CS2301-SE

The student’s ability to design

Indirect Method:Alumni Survey 10% End of



3. CS2305-PP4. CS2353-OOAD5. CS2253-COA6. CS2354-AC7. GE2115-CP LAB8. CS2208-DS LAB9. CS2309-JAVA LAB10. CS2357-OOAD LAB

and conduct experiments, as well as to analyze and interpret data.

The student’s ability to design a system, component, or process to meet desired needswithin realistic constraints.

During the design process the student’s ability to consider economical social environmental and ethical implications of the system.

(wt1) the Academic

YearEmployer Survey 10%

(wt2)Student Program End Survey

10% (wt3)

Direct Method

University Result 60% (wt4)

End of the

Academic Year

Co-curricular 10% (wt5)

Rubrics:

Evaluation Criteria

PO3

Level 1 (Excellent)

Level 2 (Good)

Level 3 (Average)

Level 4 (poor)Able to understand the key components of the system or processAble to generate requirements and able be list them in order of importance

Assessment methods with weightage

Level 1 Level 2 Level 3 Level 4



(Excellent) (Good) (Average) (Excellent)

Alumni Survey (10%)excellent satisfactory moderate Poor

Graduate exit survey(10%) Highly satisfied

graduatesperformance

Satisfiedgraduates

performance


performance


performance

Student Program End Survey (10%) STRONG MODERATE LOW STRONG

University Result (60%)Scoring

S (10) grade in the subjects

Scoring A(9),

B(8) and C(7) grades in the

subjects

Scoring D(6) and E(5) grades in the

subjects

Scoring S (10)

grade in the subjects

Co-curricular Activities (10%)

Excellentparticipation

Goodparticipation

Moderateparticipation

Excellentparticipati

on



university exam + wt5 * student score in Co-curricular activities

PO6: Function effectively as an individual, and as member or leader in diverse teams, and in

multidisciplinary settings

Rubrics:

Indirect Method:



Evaluation Criteria

PO3Assessment methods with weightageAlumni Survey (10%)Graduate exit survey(10%)

Level 1(poor)

Able to understand the key components of the system or process

Able to generate requirements and able be list them in order of importance Poor

Direct MethodUniversity Result

70% (wt4)

End of the

Academic Year

Program Outcome Assessment Score PO4 = wt1 * alumni satisfactory response +wt2 * employer satisfactory response + wt3 * student satisfactory response +wt4 * student score in university exam PO2: Identify, formulate, research literature, and analyses complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural science, and engineering sciences

1. GE2112-FOC2. CS2201-DS3. CS2251-DAA4. CS2253-COA5. CS2255-DBMS6. CS2254-OS7. CS2203-OOPS8. CS2301-SE9. CS2305-PP10. IT2353-WT11. CS2353-OOAD12. CS2304-SS13. CS2451-Project work

The student ability in understand the definition of the problem and to formulate its specifications.

The student ability in recognize the data requirements.

The student ability in identify algorithms and specify the software tools, hardware requirements needed for a given problem.


10 (wt1)

End of the

Academic Year

Employer Survey

10 (wt2)


10 (wt3)


60% (wt4) End of

the Academic

Year

Co-curricularActivities

10%(wt5)



university exam + wt5 * student score Co-curricular activities



PO9: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

1. GE2025-Professional Ethics2. IT2403-Software Quality

Management

The student should have understanding and knowledge in ethical issues relevant to computer science and engineering.


10 (wt1)

End of the

Academic Year

Employer Survey

10 (wt2)


10 (wt3)


60% (wt4) End of

the Academic

Year

Extra-curricular

10%(wt5)

Program Outcome Assessment Score PO6 = wt1 * alumni satisfactory response +wt2 * employer satisfactory response + wt3 * student satisfactory response +wt4 * student score in university exam + wt5 * student score in Extra-curricular activitiesPO7: Communicate effectively on complex engineering activities with the engineering community and with the 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.

1. HS2111-TE I2. HS2161-TE II3. GE2321-Comm Lab

Oral and written communication shown by the students in curriculum.


10% (wt1)

End of the

Academic Year

Employer Survey

10% (wt2)


10% (wt3)


60% (wt4)

Extra-curricular

10%(wt5)




employer satisfactory response + wt3 * student satisfactory response +wt4 * student score in university exam + wt5 * student score in Extra-curricular activitiesPO10: Understand the impact of the professional engineering solutions in societal and

environmental contexts, and demonstrate the knowledge of, and need for sustainable

development

1. CS2255-DBMS2. CS2301-SE3. GE2025-PE4. CS2351-AI5. CS2032-DWDM6. CS2357-OOAD mini project7. CS2451-Project work

The student competence and understanding on the impact of computer and its usage in global economic andsocial context.


10% (wt1)

End of the

Academic Year

Employer Survey

10% (wt2)


10% (wt3)


60% (wt4) End of

the Academic

Year

Extra-Curricular

10%(wt5)



university exam + wt5 * student score in Extra-curricular activities

PO12: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technologies.

1. CS2357-OOAD LAB2. CS2451-Project work3. CS2358-IP LAB

WT PAPER

Student’s competence in independently identify and use information sources (such as textbooks, scientific and technical journals, library system as a whole, World Wide Web and


10% (wt1)

End of the

Academic Year

Employer Survey

10% (wt2)


10% (wt3)


60% (wt4)

End of the

Academic Year

Extra-curricular

10% (wt5)



tools) to accomplish a given assignment.

activities

Program Outcome Assessment Score = wt1 * alumni satisfactory response +wt2 * employer

satisfactory response + wt3 * student satisfactory response +wt4 * Student score in university

result + wt5 * student score in Extra-curricular activities

PO8: 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.

1. GE2025-PE2. IT2352-CNS3. CS2302-CN4. MG2452-EEFA5. IT2353-WT6. IP LAB

Understand various security issues and approaches related to web commerce, E-cash, Visa cards.

Identify the contemporary social issues.


10 (wt1)

End of the

Academic Year

Employer Survey

10 (wt2)


10 (wt3)


60% (wt4)

Extra-curricular activities

10%(wt5)

Program outcome assessment score PO10 = wt1* % alumni satisfactory response +wt2*

employer satisfactory response + wt3* student satisfactory response +wt4* Students score in

University exam + wt5 * Students score in Extra-curricular activities

PO5: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modeling to complex engineering activities, with an understanding of the limitations.

1. CS2307-NET LAB2. IT2353-WT3. CS2406-Open source4. CS2405-CG LAB5. CS2357-OOAD LAB

Explore the new tool and able to develop programs/reports.


10 (wt1) End of the

Academic Year

Employer Survey

10 (wt2)



6. CS2451-Project work Use current software development methodologies, processors, web and internet development tools and techniques.


10 (wt3)


60% (wt4) End of

the Academic

Year

Extra-curricular activities

10% (wt5)

Program Outcome Assessment Score PO11 = wt1 * % alumni satisfactory response +wt2 *

employer satisfactory response + wt3 * student satisfactory response +wt4 * Students score in

University exam + wt5 * student score in Extra-curricular activities

PO11: 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.

1. CS2025-PE2. CS2301-SE3. IT2403-SPM4. CS2451-Project Work5. MG2452-EEFA6. CS2357-OOAD LAB


10% (wt1)

End of the Academic YearEmployer

Survey10% (wt2)


10% (wt3)


60% (wt4)

End of the Academic YearExtra-

curricular activities

10%(wt5)

Program outcome assessment score PO12 = wt1* % alumni satisfactory response +wt2*

employer satisfactory response + wt3* student satisfactory response +wt4* Students score in

University exam + wt5 * Students score in Extra-curricular activities



2.3.2 Indicate results of evaluation of each PO (25)

As described in section 2.3.2 the PO assessment process is conducted every year

by Accreditation Council. The step by step process of assessing Program Outcomes is

described below:-

The Course Instructor prepares and maintains the Direct Assessment Report of the

performance of every student in Embedded Questions that are used to assess the PO in

their respective course file.

The Course Instructor also collects and maintains the individual performance of every

student in the experiment corresponding to the PO in the course file

The final pass percentage of all the students in the subject related to the PO is also

collected by the Course Instructor.

The Course Instructor performs the student course end survey as described in the

previous section and maintains a report about it in the course file.



They submit a consolidated report of the above assessment results to the Accreditation

Council.

The Accreditation Council performs the Alumni Survey and Employer Survey every year

and consolidates the results.

The Accreditation Council consolidates both the Direct Assessments Reports and the

Indirect Assessment Results from the Course Instructors. The assessment results are

finally submitted to the Program Accreditation Committee for further process.

PO Achievement Evidence:

Initially the PO was defined based upon the Mission and Vision Statements, In the

academic year of 2008-09, by the Program Administrative Committee and was approved

by the Program Advisory Board and the Faculty of the department. The accreditation

unit surveyed the alumnus, employers and students in the year of 2009-10, 2010-11 and

2011-12 and was submitted to the Program Administrative Committee. The committee in

the month of May had a meeting and analyzed the assessment report. The collected

survey results and POs achievement levels and the evidences are described below:-

Program Outcomes Assessment and Attainment

PO3: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate considerations for public health and safety, and cultural, societal, and environmental considerations.

THEORY SUBJECTS LAB SUBJECTS



1. CS2251-DAA

2. CS2301-SE

3. CS2305-PP

4. CS2353-OOAD

5. CS2253-COA

6. CS2354-ACA

1.GE2115-CP LAB

2. CS2208-DS LAB

3. CS2309-JAVA LAB

4. CS2357-OOAD LAB

ASSESSMENT TOOLS: SAMPLE DATA

1 INDIRECT ASSESSMENT-1.1. ALUMNI SURVEY

The PO is presented to the alumni and the alumnus is asked to say whether they have achieved the

PO or not. The number of positive responses is recorded and the percentage of positive response is

calculated as “Alumni satisfactory response” and during overall assessment of the PO it has weight

age (wt1) of 10%.

ALUMINI SURVEYACADEMIC YEAR QUESTION SURVEY DATA

NO. OF RESPONSES

SATISFACTORY NUMBER

(Level 1 + Level 2)

2009-2013Are you able to identify and design solutions for a given problem?

147 118

2008-2012 121 91

2007-2011 98 68



THE ALUMNI SATISFACTORY RESPONSE

AY 2009-2013 = 118/147 = 80.33%

AY 2008-2012 = 91/121 = 75.20%

AY 2007-2011 = 68/98 = 69.03%

1.2. EMPLOYER SURVEYThe PO is presented to the employer and they are asked to state whether the graduate they employ have

achieved the PO or not. The number of positive responses is recorded and the percentage of positive

response is calculated as “Employer satisfactory response” and during overall assessment of the PO it

has weight age (wt1) of 10%.

EMPLOYER SURVEYACADEMIC YEAR QUESTION SURVEY DATA

NO. OF RESPONSES

SATISFACTORY NUMBER

2009-2013Are our students able to design solutions for complex engineering problems that meet

within realistic constraints?

2008-2012

2007-2011



1.3. COURSE EXIT SURVEY

COURSE EXIT SURVEYACADEMIC YEAR QUESTION SURVEY DATA

NO. OF RESPONSES

SATISFACTORY NUMBER

(Level 1 + Level 2)

2009-2013Refer Appendix for

sample Data

97 83

2008-2012 102 87

2007-2011 87 71

COURSE EXIT SURVEY RESPONSE = 82.99%1.4.STUDENT EXIT SURVEY

The PO is presented and the student after completing the course and asked to say whether they have achieved the PO or not. The number of positive responses is recorded and the percentage of positive response is calculated as “Student satisfactory response” and during overall assessment of the PO it has weight age (wt3) of 10%.

IN-DIRECT ASSESSMENT METHODACADEMIC YEAR QUESTION SURVEY DATA

NO. OF RESPONSES

SATISFACTORY NUMBER



(Level 1 + Level 2)

2009-2013How comfortable areyou in identifying and designing an appropriate solution for an engineering problem?

97 83

2008-2012 102 87

2007-2011 87 71

STUDENT SATISFACTORY RESPONSE 2009-2013 = 85.56%2008-2012 = 85.29%2007-2013 = 81.60%

2.3. DIRECT ASSESSMENT2.1 UNIVERSITY RESULT PERCENTAGE

The final average pass percentage of all the courses related to the Program Outcome is calculated as subject pass percentage and during overall assessment of the PO it has weight age (wt4) of 60% The pass percentage of all the relevant subjects is utilized for calculating the attainment level of the PO. The pass percentage of the relevant subjects for the 3 consecutive academic years is provided below

Program Outcome Assessment Score = wt1 * alumni satisfactory response +wt2 * employer satisfactory response + wt3 * student satisfactory response +wt4 * student test performance + wt5 * student Performance in co-curricular activities= =(0.1 * 79.3)+(0.1 * 83.66)+(0.1 * 78.66)+(0.2 * 83.66)+(0.2 * 91.66)+(0.15 * 83.24)+(0.15 * 100)==85.43%





Direct Method Indirect Method PO Attainment

PO Contributing

Courses

Attainment of

Course Outcomes

Average Attainment level in Course

Outcomes

Co-Curricul

ar Activities (10%)

Average Attainment

Level in Direct

Method (70%)

Assessment Tool

Attainment

Level(10%)

Average Attainment level in Indirect Method (30%)

Attainment

Level of PO

Achievement (Goal: )

PO3

CS2251-DAA

57.52

57.21% 3.4% 60.61%

Alumni Survey

8.03

24.82% 85.43% YES

(Target = 85 %)

CS2301-SE

56.29

CS2305-PP

58.14

CS2353-OOAD

55.67

Student Exit

Survey 8.53

CS2253-COA

55.05

CS2354-ACA

55.67

GE2115-CP LAB

60

Employee Survey

8.26

CS2208-DS LAB

59.33

CS2309-JAVA LAB

60

CS2357-OOAD LAB

54.43





2.3 Indicate how the results of evaluation of achievement of the POs have been used for redefining the

POs (10)

Once in every three years the Program Administrative Committee evaluates the POs assessment results.

The Program Outcomes are stated to be achieved if they meet the performance evaluation target as

described in the previous section. .If the assessment falls below the evaluation target then necessary steps

are formulated by Program Administrative Committee to strengthen the achievement of POs like

Change in mode of course delivery

Extracurricular activity

Content beyond syllabus

Extra weak student classes

Extra lab hours

If there is a change in PEO or if the stakeholders feels the POs are inappropriate or inadequate,

POs are modified or new POs are introduced by the Program Administrative Committee.

The modification introduced in the POs, their assessment methods and the necessary steps

needed to achieve the POs as described above are placed before the Program Advisory Board for

approval. The suggestions of the committee are incorporated into the PO draft and the final draft is

placed before the faculty of the department. If 90% of faculty accepts it then the draft is finalized as

new POs of the program. The steps of redefining PO are similar to the steps described in section 2.1.2.



ALUMNI SURVEY GRADUATE SURVEY

INDUSTRY PROGRAM COORDINATOR

NEED FOR

REDEFINING PO’S

IMPROVEMENT IN PO

ATTAINMENT

MODULE COORDINATOR

PO’S ASSESMENTFACULTY VIEWS

MODULE COORDINATOR

PROGRAM ASSESMENT COMMITTEE

DEPARTMENT ADVISORY BOARD

Delivery methods/ CO Curriculum

PO’s

Results of PO Evaluation

BOARD OF STUDIES



Fig 2.6: Redefining POs

Documents

Criteria2 27.9.13 Final