Mount Saint Mary College
Division of Business
Quantitative Methods
Accelerated Session H 2013
Basic Information
About the course
Course Title
Course Number
Meeting Times
Class Room
Duration
Required Text
Quantitative Methods
MGT 5080
Monday: 6:00-8:00
Wednesday: 6:00-8:00
Aquinas 062
Starts: April 1, 2013
Ends: May 11, 2013
Quantitative Methods for Business, 12th Edition
David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey
D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann
ISBN-10: 0840062338
ISBN-13: 9780840062338
About the Instructor
Instructor
Office
AKM Rezaul Hossain, Ph.D.
Division of Business
Aquinas Hall
Room 200H
It is right above the Curtin Memorial Library
By appointment hossain@msmc.edu
Office Hours
Email
Brief Description
Presents the quantitative methods and their application currently used to solve business-related problems. It is designed to show how managerial decision-making problems can be formulated and solved using appropriate tools. Topics include decision theory and probability, programming and forecasting methods, and the application of computer techniques.
Objectives
1.
To understand basic probability and probability distribution.
2.
To understand decision analysis with sample information using influence diagram, decision tree, decision strategy, risk profile, expected value and efficiency criteria.
3.
To develop basic understanding of utilize utility and game theory
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Mount Saint Mary College
Division of Business
Quantitative Methods
Accelerated Session H 2013
4.
An introduction to Linear Programming. In particular Linear Programming applied to profit maximizing or cost minimizing in production processes. The theory is specialized to solve and transportation and personnel assignment problems.
5.
Use of spreadsheet and other software to facilitate the solving of linear optimization problems.
6.
An introduction to project planning PERT Networks
7.
An introduction to simple inventory control problems.
Outline
Day and Date
Monday, April 1, 2013
Wednesday April 3, 2013
Topics covered
Chapter 1 and 2: Introduction and Introduction to Probability
Chapter 3: Probability Distribution
Monday, April 8, 2013
Wednesday April 10, 2013
Monday, April 15, 2013
Wednesday April 17, 2013
Monday, April 22, 2013
Wednesday April 24, 2013
Chapter 4: Decision Analysis
Chapter 5: Utility and Game Theory
Midterm Examination
Chapter 7: Introduction to Linear Programming
Chapter 8: Linear Programming: Sensitivity Analysis and
Interpretation of Solution
Chapter 9: Linear Programming: Applications in Marketing,
Finance and Operations Management
Chapter 10: Distribution and Network Models Monday, April 29, 2013
Wednesday May 1, 2013
Monday, May 6, 2013
Chapter 13: Project Scheduling: Pert/CPM
Chapter 14: Inventory Models
Final Examination Wednesday May 8, 2013
Course Evaluation a.
Homework b.
Midterm c.
Final Examination
50%
25%
25%
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