| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
| 處理多變量資料的統計理論與方法 |
|
|
| Exercises |
| Discussion |
| Lecturing |
|
| Written Presentation |
| Attendance |
| Oral Presentation |
| Assignment |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
******* 以下授課內容會依國定假日與學生學習狀況等做適當調整 *******
Aspects of Multivariate Analysis
|
| Week 2 |
Matrix Algebra and Random Vectors
|
| Week 3 |
Matrix Algebra and Random Vectors |
| Week 4 |
Sample Geometry and Random Sampling
|
| Week 5 |
Sample Geometry and Random Sampling |
| Week 6 |
The Multivariate Normal Distribution
|
| Week 7 |
The Multivariate Normal Distribution |
| Week 8 |
Inferences About a Mean Vector
|
| Week 9 |
Inferences About a Mean Vector |
| Week 10 |
Principal Components
|
| Week 11 |
Principal Components
|
| Week 12 |
Factor Analysis
|
| Week 13 |
Factor Analysis |
| Week 14 |
Clustering, Distance Methods and Ordination.
|
| Week 15 |
Clustering, Distance Methods and Ordination.
|
| Week 16 |
Final Exam
Final project
Final project |
self-directed
learning |
|
|
| Evaluation |
| Homework 40%, Midterm 30%, Final project 30% |
| Textbook & other References |
Johnson, R.A. and Wichern, D.W. (2007), ”Applied Multivariate Statistical Analysis” , 6th ed, Prentice Hall. (雙葉代理)
|
| Teaching Aids & Teacher's Website |
| iLearn |
| Office Hours |
| Appointment |
| Sustainable Development Goals, SDGs(Link URL) |
| include experience courses：N |
|