QT-Q12

QT-Q12
PGDM-HRM 2012-14: Term-I

Course Name: Quantitative Techniques (QT)

Credits	3.0
Faculty Name	Rahul Thakurta
Program	PGDM HRM
Academic Year and Term	2012-13, Term-1

1. Course Description

The course is designed into two components, viz. business statistics and operations research.
Business statistics provides an introduction to statistics designed for management students. In the rapidly changing business environment it is imperative to have an appreciation of data, its presentation and analysis techniques. The business statistics component aims at imparting these skills so that you can make better of use of data in taking decisions.
The operations research component provides a basic introduction of the subject. The theory will provide an introduction to how mathematical models aid in managerial decision making. There will also be a focus on solving practical problem within a management context. By the end, students will be exposed to a wide variety of applications and problems that can be addressed using Operations Research techniques.

2. Student Learning Outcomes (typically 3-5 bullet points)

· Be able to demonstrate analytical abilities
· Be able to relate real life scenarios to quantitative representations
· Be able to demonstrate collaboration and team work attributes
· Be able to link practice to theory

3. Required Text Books and Reading Material

Business Statistics component:
· Business Statistics Using Excel by Glyn Davis and Branko Pecar, Oxford University Press
· Complete Business Statistics by Amir D. Aczel and Jayavel Sounderpandian

Operation Research component:

· Introduction To Operations Research by Frederick S. Hillier and Gerald J. Lieberman

4. Tentative Session Plan

Session Number	Topics/Activities	Reading/case list etc.
*Business Statistics*
1, 2	Descriptive Statistics	Session PPT
3, 4, 5	Probability	- Do -
6	Probability Distribution (Normal)	- Do -
7, 8	Sampling Distribution	- Do -
9,10	Estimation	- Do -
11, 12	Hypothesis Testing	- Do -
*Operations Research*
13	Introduction and Overview	Session PPT
14	Linear Programming Introduction and Cases	- Do -
15, 16	Solving Linear Programming Problems – The Simplex Method	- Do -
17	Decision Analysis	- Do -
18	Network Optimization Models	- Do -
19, 20	Transportation and Assignment Problem	- Do -

* The pedagogy may change as the course progresses

5. Evaluation

· Quiz (1) – 20%
· Mid-term Examination – 40%
· End-term Examination – 40%

6. Academic Integrity

Students involved in academic dishonesty will receive ZERO on the particular component in which the infraction occurred. Academic dishonesty consists of misrepresentation by deception or by other fraudulent means. In an academic setting this may take any number of forms such as copying or use of unauthorized aids in tests, talking during examinations; aiding and abetting another student’s dishonesty; and giving false information for the purpose of gaining credits.

Created By: Debasis Mohanty on 05/28/2012 at 01:49 PM
Category: PGDM(HRM)-I Doctype: Document

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