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。 |
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Practicum |
Lecturing |
Discussion |
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Quiz |
Written Presentation |
Assignment |
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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.
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Week 2 |
Matrix Algebra and Random Vectors
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Week 3 |
Matrix Algebra and Random Vectors |
Week 4 |
Sample Geometry and Random Sampling
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Week 5 |
Sample Geometry and Random Sampling |
Week 6 |
The Multivariate Normal Distribution
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Week 7 |
The Multivariate Normal Distribution |
Week 8 |
Inferences About a Mean Vector
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Week 9 |
Inferences About a Mean Vector
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Week 10 |
Principal Components |
Week 11 |
Principal Components
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Week 12 |
Factor Analysis and Inference for Structured Covariance Matrices |
Week 13 |
期中考 |
Week 14 |
Factor Analysis and Inference for Structured Covariance Matrices |
Week 15 |
Clustering, Distance Methods and Ordination
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Week 16 |
閱讀老師指定參考文獻,期末報告。 |
self-directed learning |
   02.Viewing multimedia materials related to industry and academia.
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Evaluation |
Homework 30%, Midterm 40%, Final project 30%
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Textbook & other References |
Johnson, R.A. and Wichern, D.W. (2007), ”Applied Multivariate Statistical Analysis” , 6th ed, Prentice Hall. (雙葉代理)
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Teaching Aids & Teacher's Website |
https://lms2020.nchu.edu.tw |
Office Hours |
Appointment
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Sustainable Development Goals, SDGs(Link URL) |
| include experience courses:N |
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