| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
|
|
|
| topic Discussion/Production |
| Networking/Distance Education |
| Discussion |
| Lecturing |
|
| Written Presentation |
| Oral Presentation |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
Introduction to Design of Experiment (DoE) |
| Week 2 |
Selecting Response, Factors, and Level |
| Week 3 |
How Does DOE Design Experiments? |
| Week 4 |
Overall Steps in Conducting DoE |
| Week 5 |
Understanding Basic Statistics – Part 1
|
| Week 6 |
Understanding Basic Statistics – Part 2 |
| Week 7 |
Understanding Basic Statistics – Part 3
|
| Week 8 |
Understanding Basic Statistics – Part 4
|
| Week 9 |
Midterm |
| Week 10 |
Understanding Statistics in DoE |
| Week 11 |
Evaluating DoE Designs |
| Week 12 |
Full Factorial Design |
| Week 13 |
Screening Design |
| Week 14 |
Response Surface Methodology (RSM) |
| Week 15 |
Final Presentation |
| Week 16 |
Final Presentaiton |
self-directed
learning |
02.Viewing multimedia materials related to industry and academia.
03.Preparing presentations or reports related to industry and academia.
|
|
| Evaluation |
Mid-term exam 40%
Final presentation 40%
Participation 20%
|
| Textbook & other References |
Douglas C. Montgomery, Design and Analysis of Experiments, Wiley, 10th edition. (The electronic version can be accessed through the university library, 電子版本可以從學校圖書館取得)
|
| Teaching Aids & Teacher's Website |
|
| Office Hours |
|
| Sustainable Development Goals, SDGs(Link URL) |
| 04.Quality Education 05.Gender Equality 08.Decent Work and Economic Growth 09.Industry, Innovation and Infrastructure | include experience courses：N |
|