Session Plan
Faculty
Subject Code
Subject Name
Total Marks
Number of Students Enrolled`
Course Description /Syllabus
Books prescribed by Pune University
Paper Type:(Internal/External)
Suggested Study Material:Journals/Magazines/Business Reviews
(To be filled in as and when suggestions are made)
Session Plan
Mr Krishna Ramisetty
104
Statistical & Quantitative Methods
External
100
1. Arranging data to convey meaning - Tables, Graphs and Frequency Distribution 2. Measures of Central Tendency – Arithmetic Mean, Median, Mode. Measures of Dispersion – Range, Quartile, Mean Deviation, Standard Deviation, Coefficient of Variation. 3. Correlation – Karl Pearson coefficient & Rank correlation – Partial & Multiple correlation. Simple and Multiple Regression (Linear) – Equation and prediction 4. Association of Attributes: Yule’s coefficient & Coefficient of colligation. 5. Probability – Concept, Bayes’ theorem. Probability Distributions - Binomial, Poisson and Normal. 6. Linear Programming – ormulation.Graphical solution, Transportation & Assignment Problems – all methods 7. Queuing Theory - Single Server ( M/M/I , Infinite, FIFO) and Multi Server (M/M/C , Infinite, FIFO) 8. Markov Chains & simulation techniques. Monte Carlo Simulation 9. Games Theory - 2x2 zero sum game with dominance - Pure Strategy and Mixed Strategy 10. Decision Theory - Decision making under risk (EMV criteria) and Decision making under uncertainty
1. Statistical and Quantitative Methods – By Ranjit Chitale, 2. Statistical Methods - S.P.Gupta, 3. Statistics for Management - Levin and Rubin, 4. Quantitative Techniques Vol. 1 and 2 - L.C.Jhamb, 5. Statistics and Quantitative Techniques - M.G.Dhaygude, 6. Quantitative Techniques - N.D.Vohra
Week Number 1Date Range
Learning Objectives/Outcomes for the week:to provide the methodology and scope of various modes of presentation of Data
intended to help in making effective presentation of data and conclusions relating to analysis and evaluation for an assignment or a project
Objective(s)1234
Session Number
Date(DD-MMM-YYYY)
To describe various charts and graphs and thus help in using the same for any
live data in the work environment
Learning Objectives/Outcomes for the week:to provide the methodology and scope of various modes of presentation of Data
intended to help in making effective presentation of data and conclusions relating to analysis and evaluation for an assignment or a project
Arranging Data - Tables Graphs Frequency DistributionFrequency Distribution
Topic / Sub-topic coverage planned
Pre-reading material suggested to students
Teaching Methodology / Classroom Activity
Statistics for Management - T N
Srivastsava, Shailaja Rego, Chapter 3 -
"Presenatation of Data"Lecture / Demonstaration
on MS - Excel, Exercises
Learning Objectives/Outcomes for the week: Summary / Notes (if any)to provide the methodology and scope of various modes of presentation of Data
intended to help in making effective presentation of data and conclusions relating to analysis and evaluation for an assignment or a project
Completion Percentage(Approximate)
Suggested Study Material:Journals/Magazines/Business Reviews
Week Number 2Date Range
Learning Objectives/Outcomes for the week:Various Measures of Location such as Mean, Median, Mode. Also their relative advantages and limitations
Measures of variation such as range, standard deviation, mean deviation. Their relative advantages and limitations
Objective(s)5
67
8
Session Number
Date(DD-MMM-YYYY)
To use summary/descriptive statistics to describe collections of data and how data bunch up.
To describe how data spreads out using Dispersion measures
Learning Objectives/Outcomes for the week:Various Measures of Location such as Mean, Median, Mode. Also their relative advantages and limitations
Measures of variation such as range, standard deviation, mean deviation. Their relative advantages and limitations
Topic / Sub-topic coverage planned
Merits and Demerits
Pre-reading material suggested to students
Teaching Methodology / Classroom ActivityMeasures of Central Tendency - Mean , Mode,
Median
Statistics for Management - T N Srivastsava, Shailaja
Rego, Chapter 4 - "Measures of Central Tendency and
Dispersion"
Solving Cases for better understanding the
implementation of various measures to various
situations
Measures of Dispersion - Range, Quartile, Mean Deviation,
Standard Deviation, Variance, Coefficient of Variation
Learning Objectives/Outcomes for the week: Summary / Notes (if any)Various Measures of Location such as Mean, Median, Mode. Also their relative advantages and limitations
Measures of variation such as range, standard deviation, mean deviation. Their relative advantages and limitations
Completion Percentage(Approximate)
Suggested Study Material:Journals/Magazines/Business Reviews
Week Number 3Date Range
Learning Objectives/Outcomes for the week:understand the relevance and application of relationship between two variables
Objective(s) Topic / Sub-topic coverage planned9 Karl Pearson Correlation Coefficient
10 Spearman's Rank Correlation11 Partial Correlation12 Multiple Correlation
Session Number
Date(DD-MMM-YYYY)
Determine the nature of mathematical
relationship, if it exists
Learning Objectives/Outcomes for the week:understand the relevance and application of relationship between two variables
Practise excercises and cases
Pre-reading material suggested to students
Teaching Methodology / Classroom Activity
Completion Percentage(Approximate)
Statistics for Management - T N
Srivastsava, Shailaja Rego, Chapter 8,9
Summary / Notes (if any)
Suggested Study Material:Journals/Magazines/Business Reviews
Week Number 4Date Range
Learning Objectives/Outcomes for the week:understand the relevance and application of relationship between two variables
Objective(s)13 Simple Regression Analysis14 Multiple Regression Analysis15 Yule's Coefficient16 Coefficient of Colligation
Session Number
Date(DD-MMM-YYYY)
Topic / Sub-topic coverage planned
Determine the nature of
mathematical relationship, if it
exists
Learning Objectives/Outcomes for the week:understand the relevance and application of relationship between two variables
Practise excercises and cases
Pre-reading material suggested to students
Teaching Methodology / Classroom Activity
Completion Percentage(Approximate)Statistics for
Management - TN Srivastava, Shailaja Rego
- Chapter 8,9
Statistical Methods - SP Gupta
Summary / Notes (if any)
Suggested Study Material:Journals/Magazines/Business Reviews
Week Number 5Date Range
Learning Objectives/Outcomes for the week:Concepts and application of Probability
Objective(s) Topic / Sub-topic coverage planned17
18 Conditional Rule, Bayee's rule19
20 Normal Distribution
Session Number
Date(DD-MMM-YYYY)
To determine probabilities in
various Management and Business situations
Probability - Concepts, Additional Rule, Multiplication rule,
Probability Distributions - Binomial, Poisson
Learning Objectives/Outcomes for the week:Concepts and application of Probability
Practise excercises and cases
Pre-reading material suggested to students
Teaching Methodology / Classroom Activity
Completion Percentage(Approximate)
Statistics for Management - T N
Srivastsava, Shailaja Rego, Chapter 5, 7
Summary / Notes (if any)
Suggested Study Material:Journals/Magazines/Business Reviews
Week Number 6Date Range
Learning Objectives/Outcomes for the week:Optimum utilization of Resources through various statistica l models
Objective(s) Topic / Sub-topic coverage planned21 Linear Programming - Formulation22 Graphical Solution
2324 VAM
Session Number
Date(DD-MMM-YYYY)
Solving product mix problems, distribution
and wahre house allocation problems
Transportation Problems - Northwest corner rule, least cost entry method
Learning Objectives/Outcomes for the week:Optimum utilization of Resources through various statistica l models
Practise excercises and cases
Pre-reading material suggested to students
Teaching Methodology / Classroom Activity
Completion Percentage(Approximate)
Quantitative Techniques in Management - ND
Vohra - Chapter 2,5
Summary / Notes (if any)
Suggested Study Material:Journals/Magazines/Business Reviews
Week Number 7Date Range
Learning Objectives/Outcomes for the week:Optimum solution for Transportation Models
Queuing theory
Objective(s)
25
26
27 Queuing Theory - M/M/I
28 M/M/C
Session Number
Date(DD-MMM-YYYY)
Topic / Sub-topic coverage planned
Transportation problems - Modi Method
Assignment Problems - Hungarian Method
Effective Customer service models
Learning Objectives/Outcomes for the week:Optimum solution for Transportation Models
Queuing theory
Practise excercises and cases
Pre-reading material suggested to students
Teaching Methodology / Classroom Activity
Completion Percentage(Approximate)
Quantitative Techniques in Management - ND VOHRA - Chapter 5,6
Quantitative Techniques in Management - ND VOHRA - Chapter 10
Summary / Notes (if any)
Suggested Study Material:Journals/Magazines/Business Reviews
Week Number 8Date Range
Learning Objectives/Outcomes for the week:Brand Switching example
Objective(s)
29 Markov Chains
30 Markov Chains31 Simulation - Monte Carlo
32 Simulation - Monte Carlo
Session Number
Date(DD-MMM-YYYY)
Topic / Sub-topic coverage planned
Input and output markovian analysis
Use of Random Numbers in Monte Carlo simulation
Learning Objectives/Outcomes for the week:Brand Switching example
Practise excercises and cases
Pre-reading material suggested to students
Teaching Methodology / Classroom Activity
Completion Percentage(Approximate)
Quantitative Techniques in Management - ND VOHRA -
Chapter 14
Quantitative Techniques in Management - ND VOHRA -
Chapter 17
Summary / Notes (if any)
Suggested Study Material:Journals/Magazines/Business Reviews
Week Number 9Date Range
Learning Objectives/Outcomes for the week:Game Theory
Objective(s)33 Game Theory - 2x2 zero sum with 34 Pure Strategy 35 Mixed Strategy36 Exercises
Session Number
Date(DD-MMM-YYYY)
Topic / Sub-topic coverage planned
To know the consequences of interplay of combination
of strategies for success
Learning Objectives/Outcomes for the week:Game Theory
Practise excercises and cases
Pre-reading material suggested to students
Teaching Methodology / Classroom Activity
Completion Percentage(Approximate)
Quantitative Techniques in Management - ND VOHRA - Chapter 15
Summary / Notes (if any)
Suggested Study Material:Journals/Magazines/Business Reviews
Week Number 10Date Range
Learning Objectives/Outcomes for the week:to learn how to choose best course of action out of the different alternatives available
Objective(s)37 Decision Making under Risk 38 Case Solving39 under Uncertainity40 Case Solving
Session Number
Date(DD-MMM-YYYY)
Topic / Sub-topic coverage planned
to develop a pay-off matrix, regret matrix to make
decisions
Learning Objectives/Outcomes for the week:to learn how to choose best course of action out of the different alternatives available
Practise excercises and cases
Pre-reading material suggested to students
Teaching Methodology / Classroom Activity
Completion Percentage(Approximate)
Quantitative Techniques in Management - ND VOHRA - Chapter 13
Summary / Notes (if any)
Suggested Study Material:Journals/Magazines/Business Reviews
Session Count Summary
Standard Actual Variance
Sessions 32 32
Time (Hours) 40 40
Session Count Summary
Notes, if any
Sessions No.123456789
101112131415161718192021222324252627282930313233343536
Session Plan Summary
Planned CoverageArranging Data -
Tables Graphs Frequency DistributionFrequency Distribution
Measures of Central Tendency - Mean , Mode, MedianMerits and Demerits
Measures of Dispersion - Range, Quartile, Mean Deviation, Standard Deviation, Variance, Coefficient of Variation
Karl Pearson Correlation CoefficientSpearman's Rank Correlation
Partial CorrelationMultiple Correlation
Simple Regression AnalysisMultiple Regression Analysis
Yule's CoefficientCoefficient of Colligation
Probability - Concepts, Additional Rule, Multiplication rule, Conditional Rule, Bayee's rule
Probability Distributions - Binomial, Poisson Normal Distribution
Linear Programming - FormulationGraphical Solution
Transportation Problems - Northwest corner rule, least cost entry methodVAM
Transportation problems - Modi MethodAssignment Problems - Hungarian Method
Queuing Theory - M/M/IM/M/C
Markov ChainsMarkov Chains
Simulation - Monte CarloSimulation - Monte Carlo
Game Theory - 2x2 zero sum with dominance, Pure Strategy Mixed Strategy
Exercises
Do NOT fill inanything in Col B
Session Plan Summary
Actual Coverage Deviation details
Session Plan Summary
Notes, if any
Assessment Summary
Assessment Type Session No. Case study Session No.Marks 20
(Enter the Topic / Sub topic details covered by the assessment)
Assessment Summary
Assignment Session No. Presentation Session No.20 20
(Enter the Topic / Sub topic details covered by the assessment)
Quiz Session No. Tests Session No.20 40
Mid-term Session No. End-term50 70