| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
| This course aims to make students familiar with relevant concepts in operations management and apply the methods in practice. |
| 1.Indenpendent Analysis |
| 2.Professional Knowledge |
| 3.Creativity |
| 4.Science Methods with Applications |
|
|
| topic Discussion/Production |
| Discussion |
| Lecturing |
|
| Written Presentation |
| Attendance |
| Oral Presentation |
| Assignment |
| Quiz |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
Course Introduction |
| Week 2 |
Introduction to Operations Management |
| Week 3 |
Statistical Analysis and Software |
| Week 4 |
Holiday |
| Week 5 |
Holiday |
| Week 6 |
Statistical Analysis and Forecasting
|
| Week 7 |
Regression Analysis |
| Week 8 |
Quality Control (1) |
| Week 9 |
Quality Control (2) |
| Week 10 |
Midterm Exam |
| Week 11 |
Human Factors and Automation |
| Week 12 |
Midterm Case Presentation and Discussion |
| Week 13 |
Inventory Management |
| Week 14 |
Other relevant topics |
| Week 15 |
Final Case Presentation and Discussion |
| Week 16 |
Final Case Presentation and Discussion
|
self-directed
learning |
02.Viewing multimedia materials related to industry and academia.
|
|
| Evaluation |
Participation:15%
Homework:15%
Case Presentation and Report:40%
Midterm Exam:30%
|
| Textbook & other References |
| Operations Management, 14th Edition, by William J. Stevenson |
| Teaching Aids & Teacher's Website |
| Lecture notes from the textbook and the instructor. |
| Office Hours |
| Monday (by appointment) |
| Sustainable Development Goals, SDGs(Link URL) |
| 08.Decent Work and Economic Growth 09.Industry, Innovation and Infrastructure | include experience courses：N |
|