| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
| Conceptual rather than theoretical understanding of linear and nonlinear regressions. |
| 1.Statistical Thinking and Logic |
| 2.Data Analysis, Statistical Modeling and Software Application |
| 3.Statistical Computing and Simulation Study |
|
|
| topic Discussion/Production |
| Discussion |
| Lecturing |
|
| Written Presentation |
| Oral Presentation |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
Review of linear algebra |
| Week 2 |
Simple linear regression |
| Week 3 |
Simple linear regression |
| Week 4 |
Multiple linear regression |
| Week 5 |
Basic variable selection |
| Week 6 |
Interactions and qualitative predictors |
| Week 7 |
ANOVA and ANCOVA |
| Week 8 |
Useful transformations |
| Week 9 |
presentation 1 |
| Week 10 |
Multilevel models |
| Week 11 |
Correlated errors |
| Week 12 |
Diagnostics |
| Week 13 |
High-dimensional problems |
| Week 14 |
Global models and local models |
| Week 15 |
Prediction models for signal and images |
| Week 16 |
presentation 2 |
self-directed
learning |
01.Participation in professional forums, lectures, and corporate sharing sessions related to industry-government-academia-research exchange activities.
02.Viewing multimedia materials related to industry and academia.
|
|
| Evaluation |
Reading Assignment: 26%
Presentation 1: 37%
Presentation 2: 37% |
| Textbook & other References |
Hadi, A. S., & Chatterjee, S. (2023). Regression analysis by example using R. John Wiley & Sons.
Rawlings, J. O., Pantula, S. G., & Dickey, D. A. (1998). Applied regression analysis: a research tool. New York, NY: Springer New York. |
| Teaching Aids & Teacher's Website |
| The iLearning site will host the uploaded materials. |
| Office Hours |
| Tuesday 13:00~15:00 |
| Sustainable Development Goals, SDGs(Link URL) |
| 08.Decent Work and Economic Growth 09.Industry, Innovation and Infrastructure | include experience courses：N |
|