Type of Credit: Elective
Credit(s)
Number of Students
This is a PhD-level course, which is primarily designed for the instructor's PhD students. This course introduces some advanced tools about variable selection under various regression models and measurement error in datasets. Students are required to write programming code and 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 earn some advanced tools and knowledge to handle complex data analysis.
| 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: Measurement error analysis
Note:
1. Students are expected to workload 3 hours in-class as well as outside-of-class.
2. 2023 Dec. 15 & 22 are (temporarily) scheduled as self-study for the preparation of the coming oral presentation and the final project.
Tentative schedule is given below:
Week 1: Introduction of this course, discuss the final project.
Weeks 2-4: Topic 1. Students are required to report research papers, discuss the final project, demonstrate relevant programming code.
Weeks 5-7: Topic 2. Students are required to report research papers, discuss the final project, demonstrate relevant programming code.
Weeks 8-10: Topic 3. Students are required to report research papers, discuss the final project, demonstrate relevant programming code.
Weeks 11-13: Topic 4. Students are required to report research papers, discuss the final project, demonstrate relevant programming code.
Weeks 14-15: Preparation of students' final project and the coming oral presentation as well as the relevant slides.
Week 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: Submit the final project in the paper format to the instructor.
Week 18: Discuss some feedbacks of the final project with the instructor.
1. Project 50%
2. Weekly discussion (in English) 10%
3. Oral presentation (in English) 40%
Note:
1. Final project is expected to be submitted to the instructor on Jan 5, 2024.
2. Oral presentation is expected to be held on Dec. 29, 2023.
The main course materials are published research papers. Relevant topics will be determined.