Fall 2021
MW 13:00 - 14:15
Course outline: This course provides an Introduction to Management Science. Linear programming, network models, integer, nonlinear and dynamic programming are introduced for deterministic models. Waiting line models, decision analysis and Markov process are also covered.
Professor
Dr. Chae Young Lee
Phone: (042)
350-2916
Office: Room 4208
at E2-1
Office hours: M W 10:00-11:00, 14:15 - 15:15
Teaching Assistant
Grading
Mid-term (30%)
Dates: 10/13
Final (30%) Date: 12/8
Homework (20%)
Quiz (10%)
Class Activity (10%)
The Text
An Introduction to Management Science, by Anderson et al,
South-Western Cengage Learning, 15 Edition, 2019
Schedule
|
Date |
Topic |
Reading
|
|
8/30, 9/1 |
Introduction |
Chap. 1 |
|
9/6, 8 |
Introduction to LP |
Chap. 2
|
|
9/13, 15 |
Linear Programming |
Chap. 3 |
|
9/27, 29 |
LP Applications |
Chap. 4 |
|
10/4, 6 |
Network Models |
Chap. 6 |
|
10/11 |
Min. Spanning Tree |
Chap. 20 |
|
10/13, |
Mid-term Exam |
|
|
10/25, 27 |
Integer Linear Optimization |
Chap. 7 |
|
11/1 |
Nonlinear Programming |
Chap. 8 |
|
11/3, 8, 10 |
Waiting Line Models |
Chap. 11 |
|
11/15, 17 |
Decision Analysis |
Chap. 13 |
|
11/22, 24 |
Markov Processes |
Chap. 16 |
|
11/29, 12/1 |
Dynamic programming |
Chap. 21 |
|
12/6 |
Review |
|
|
12/8 |
Final Exam |
|