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 (1) |
Week 4 |
Statistical Analysis and Software (2) |
Week 5 |
Forecasting |
Week 6 |
Regression Analysis and Decision Theory |
Week 7 |
Quality Control (1) |
Week 8 |
Quality Control (2) |
Week 9 |
Midterm Exam |
Week 10 |
Human Factors and Automation |
Week 11 |
Midterm Case Presentation and Discussion |
Week 12 |
Inventory Management(1) |
Week 13 |
Inventory Management(2) |
Week 14 |
Other relevant topics |
Week 15 |
Final Case Presentation and Discussion |
Week 16 |
Final Case Presentation and Discussion |
Week 17 |
Holiday |
Week 18 |
Self-directed learning in the course (Discussion for final report) |
|
Evaluation |
Participation:15%
Homework:20%
Case Presentation and Report:40%
Midterm Exam:25%
|
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 |
Wednesday (by appointment) |
Sustainable Development Goals, SDGs |
08.Decent Work and Economic Growth   09.Industry, Innovation and Infrastructure | include experience courses:N |
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