研究方法
Research Methods
| 節 | 週一 |
|---|---|
A 18:30–19:20 | 研究方法 M301（光復） 3 節連堂 |
B 19:30–20:20 | |
C 20:30–21:20 |
* 根據陽明交大上課時間表所列
Provide students with quantatitive techniques for solving managerial problems.
None
無備註
教學方法: Lectures and student participation
評量方法: Exams 100%
Deterministic models
1. Linear programming 2. Integer programming 3. Transportation problem 4. Network models
- 講授：
- 21
- 示範：
- 3
Stochastic models
1. Decision theory 2. Forecasting 3. Inventory models 4. Queuing theory 5. Markov analysis
- 講授：
- 21
- 示範：
- 3
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction 3/2 |
| 第 2 週 | Linear programming 3/9 |
| 第 3 週 | Linear programming and applications 3/16 |
| 第 4 週 | Interger programming 3/23 |
| 第 5 週 | AHP 3/30 |
| 第 6 週 | Transportation and assignment problems 4/6 |
| 第 7 週 | Transportation and assignment problems 4/13 |
| 第 8 週 | Network models 4/20 |
| 第 9 週 | Exam 4/27 |
| 第 10 週 | Probability concepts 5/4 |
| 第 11 週 | Decision theory 5/11 |
| 第 12 週 | Forecasting 5/18 |
| 第 13 週 | Regression 5/25 |
| 第 14 週 | Inventory models 6/1 |
| 第 15 週 | Queuing theory 6/8 |
| 第 16 週 | Markov analysis 6/15 |
| 第 17 週 | Exam 6/22 |
| 第 18 週 | Review 6/29 |
Quantitative Analysis for Management, by Render, Stair and Hanna (13th edition), Prentice Hall, 2018.
- 地點
- M317
- 時間
- Monday 18:00-18:30
- 聯絡方式
- 57166