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The course on Quantitative Methods (QM) is designed for the students of Post Graduate Programme in Rural Management, to develop an understanding of the basic mathematical and statistical concepts. The main goal of this course is to improve the quality of decision making through an understanding of the quantitative information that arise from managerial processes. The course has three parts. The first part covers basic mathematical concepts which again have various applications in the rest of this course. The second part deals with basic statistical techniques required for various business analyses and the final part covers few basic concepts of optimization techniques.

Contents

I. BASIC MATHEMATICS
- Basic Set theory
- Real Numbers
- Functions & Derivatives
- Interpolation & Extrapolation
- Convex Sets and Functions
- Maxima & Minima of Functions
- Elementary Matrix algebra

II: STATISTICS
- Introduction and Descriptive Statistics
- Probability
- Probability Distributions
- Sampling & Sampling Distribution
- Estimation
- Hypothesis Testing
- Simple Regression

III: MATHEMATICAL PROGRAMMING
- Introduction to Linear Programming
- Simplex Method
- Transportation and Assignment Models
- Introduction to Nonlinear Programming
- Gradient Descent Technique

Evaluation

Class participation: 10%
Assignment: 10%
Quizzes: 20 % (10% each for two quizzes)
Mid term exam: 30%
End term exam: 30%

NOTE: No requests for make-up quizzes will be entertained.

References:

1. Lecture Notes
2. Complete Business Statistics by Amir D. Aczel and Jayavel Sounderpandian (Tata McGraw-Hill)
3. Introduction To Operations Research by Frederick S. Hillier and Gerald J. Lieberman
Created By: Hemanta Ranjan Deo on 05/31/2010 at 11:28 AM
Category: PGPRM - I Doctype: Document