| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
1. 能選擇適當的分析方法來處理多變量資料。
2. 能解釋用多變量分析方法的結果。 |
| 1.Statistical Thinking and Logic |
| 2.Data Analysis, Statistical Modeling and Software Application |
| 3.Statistical Computing and Simulation Study |
| 4.Professional Knowledge and Literature Review |
|
|
| Practicum |
| Lecturing |
| Discussion |
|
| Quiz |
| Written Presentation |
| Assignment |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
******* The following course content may be appropriately adjusted in accordance with national holidays, students’ learning progress, and other relevant circumstances. *******
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 |
Midterm
|
| Week 10 |
Inferences About a Mean Vector |
| Week 11 |
Principal Components |
| Week 12 |
Principal Components |
| Week 13 |
Factor Analysis and Inference for Structured Covariance Matrices |
| Week 14 |
Factor Analysis and Inference for Structured Covariance Matrices |
| Week 15 |
Clustering, Distance Methods and Ordination
|
| Week 16 |
Final exam
|
self-directed learning |
   02.Viewing multimedia materials related to industry and academia.
|
|
| Evaluation |
Homework 30%, Midterm 30%, Final exam 40%
|
| Textbook & other References |
Johnson, R.A. and Wichern, D.W. (2007), ”Applied Multivariate Statistical Analysis” , 6th ed, Prentice Hall.
|
| Teaching Aids & Teacher's Website |
| https://lms2020.nchu.edu.tw |
| Office Hours |
Appointment
|
| Sustainable Development Goals, SDGs(Link URL) |
| include experience courses:N |
|