Quantitative Applications in Management

Paper Code: 
MBA- 221
Credits: 
4
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 
  • The objective of the course is to equip the student with basic quantitative tools required to perform the role as a manager.
  • To do analytical evaluation and arrive at logical conclusions & inferences to the decisions

 

8.00
Unit I: 
Introduction to Quantitative Techniques

Concept Model Building for Business Decisions, Matrix, Determinants, Solving Linear Equations using Matrices, Concepts of Differentiation- Maxima, Minima

7.00
Unit II: 
Elements of Statistics & Bivariate Data Analysis

Elementary Probability, Theoretical Probability Distributions: Binomial, Poisson and Normal, Correlation and Regression Analysis

7.00
Unit III: 
Linear Programming Problem

Formulation of LPP, Simplex and Graphical Method of Problem Solution, Elementary Ideas about Duality

13.00
Unit IV: 
Decision Theory

Decision Making Under Uncertainty- Maximax, Maximin, Minimax, Minimin, Laplace and Hurwitz criteria, Decision Making Under Risk- EMV, EOL, EPPI, EVPI, Decision Tree-Applications

5.00
Unit V: 
Game Theory

Game Theory-Introduction, Formulation of Game Matrix, Two Person Zero Sum Games- Pure Strategy & Mixed Strategy, Law of Dominance, Algebraic Method & Graphical Method of Solution (m x 2 & 2 x n)

Essential Readings: 
  • Quantitative Techniques in Management”, N. D. Vohra, Tata McGraw Hill Publications, 2006
  • C. R. Kothari, “Quantitative Techniques”, Vikas Publishing House, 2009
  • Quantitative Methods for Business, Anderson Williams, 10th Edition, Cengage Learning, 2012
  • Thomson, Tulsian, Quantitative Techniques Theory and Problems, Pearson Education, 2009
  • S. D. Sharma, Operations Research, Kedar Nath and Ram Nath & Co. Ltd., 2003

 

References: 
  • Operations Research”, J. K. Sharma, McMillan India, 2009
  • “Statistical and Quantitative Methods”, J.K.Sharma, A.M.Natarajan, P.Balasubramani, A.Tamilarasi, Pearson Education, 2013
  • Dr R. S. Khandelwal, Dr Satish Agarwal, Dr B. L. Gupta, Dr Tauseef Ahmad “Quantitative Analysis for Management”, Ajmera Book Company
  • Charles P Bonini, warren Hausman and Harold Bierman, Quantative analysis for management, Irwin/Mc Graw Hill, 2010
 
Academic Year: 
2018-2019
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