Type of Credit: Elective
Credit(s)
Number of Students
This is a graduated-level course, which is primarily designed for the instructor's supervised second-year Master and PhD students. This course introduces some advanced tools for variable selection under various regression models. Students are required to write programming code and prepare a research-format final project. To improve English skill for the future presentation in international conferences, students will have weekly discussion and a final oral presentation in English. Students should get the instructor's permission before recruiting this course.
能力項目說明
After taking this course, students are expected to have some advanced tools and the programming skill to analyze variable seleciton.
| 教學週次Course Week | 彈性補充教學週次Flexible Supplemental Instruction Week | 彈性補充教學類別Flexible Supplemental Instruction Type |
|---|---|---|
Tentative topics are given below:
Topic 1: Variable selection under various models
Topic 2: Boosting methods for variable selection
Topic 3: Transfer learning for variable selection
Topic 4: Analysis of graphical models
Topic 5: Big data subdata selection
Tentative schedule is given below:
Weeks 1-3: Introduction to this course and relevant policy. Start Topic 1. Students are required to report research papers, discuss the final project, demonstrate relevant programming code.
Weeks 4-6: Topic 2. Students are required to report research papers, discuss the final project, demonstrate relevant programming code.
Weeks 7-9: Topic 3. Students are required to report research papers, discuss the final project, demonstrate relevant programming code.
Weeks 10-12: Topic 4. Students are required to report research papers, discuss the final project, demonstrate relevant programming code.
Weeks 13-14: Topic 5. Students are required to report research papers, discuss the final project, demonstrate relevant programming code.
Weeks 15-16: Oral presentation of the final project. It will follow the standard invited session in the international conference to give a 30-min pressentation in English. After that, some comments and discussions will be given.
Week 17: Completion of designated after-course assignment or work.
Week 18: Completion of designated after-course assignment or work and submit the final project to the instructor.
Note: Students are expected to workload 3 hours in-class as well as outside-of-class.
1. Project and final report (in the research-based format) 50%
2. Weekly discussion (in English) 10%
3. Oral presentation (in English) 40%
The main course materials are published research papers. Relevant topics will be determined.