| Course Name |
(中) 資料計算文獻研討（二）(6928) |
| (Eng.) Review of Literature in Data Computational Science (Ⅱ) |
| Offering Dept |
Graduate Institute of Data Science and Information Computing |
| Course Type |
Elective |
Credits |
1 |
Teacher |
Hao-Chiang Shao |
| Department |
Graduate Institute of Data Science and Information Computing/Graduate |
Language |
English |
Semester |
2026-SPRING |
| Course Description |
The course will be conducted through discussions of recent research papers. Each week, students will present for 30–35 minutes, followed by a 10–15 minute lecture by the instructor. The papers discussed will primarily come from top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, AAAI, and IJCV.
Please present the abstract, the introduction, and the conclusion in English; and, literature review, method, and experiment results can be presented in Chinese.
以討論近年論文的方式進行授課，每周預計以學生報告搭配教師講述的形態完成。預期可討論的論文以CVPR, ICCV, ECCV, NIPS, ICLR, ICML, AAAI, IJCV等頂級會議論文為主。
|
| Prerequisites |
|
self-directed learning in the course |
Y |
| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
| The course aims to develop students' ability to understand research paper structures, clarify technical concepts, analyze implementation details, and build essential skills for writing a master's thesis. This course is structured as a 16+2 week program, with independent learning weeks supplemented by online instruction. |
| 1.Mathematical Thinking and Logic |
| 5.Mathematical Modeling and Software Application |
|
|
|
| Written Presentation |
| Attendance |
| Oral Presentation |
| Other |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
Introduction to presentation format and citation styles. The instructor will present a research paper and lead a discussion on its content and technical aspects.
(報告方式、論文引用格式等基礎說明。由授課教師進行論文報告、並討論論文內容與技術。) |
| Week 2 |
Student presentations and discussions on research papers and technical details.
(報告、並討論論文內容與技術。) |
| Week 3 |
Student presentations and discussions on research papers and technical details.
(報告、並討論論文內容與技術。) |
| Week 4 |
Student presentations and discussions on research papers and technical details.
(報告、並討論論文內容與技術。) |
| Week 5 |
Student presentations and discussions on research papers and technical details.
(報告、並討論論文內容與技術。) |
| Week 6 |
Student presentations and discussions on research papers and technical details.
(報告、並討論論文內容與技術。) |
| Week 7 |
Student presentations and discussions on research papers and technical details.
(報告、並討論論文內容與技術。) |
| Week 8 |
Student presentations and discussions on research papers and technical details.
(報告、並討論論文內容與技術。) |
| Week 9 |
Student presentations and discussions on research papers and technical details.
(報告、並討論論文內容與技術。) |
| Week 10 |
Student presentations and discussions on research papers and technical details.
(報告、並討論論文內容與技術。) |
| Week 11 |
Student presentations and discussions on research papers and technical details.
(報告、並討論論文內容與技術。) |
| Week 12 |
Student presentations and discussions on research papers and technical details.
(報告、並討論論文內容與技術。) |
| Week 13 |
Student presentations and discussions on research papers and technical details.
(報告、並討論論文內容與技術。) |
| Week 14 |
Student presentations and discussions on research papers and technical details.
(報告、並討論論文內容與技術。) |
| Week 15 |
Student presentations and discussions on research papers and technical details.
(報告、並討論論文內容與技術。) |
| Week 16 |
Student presentations and discussions on research papers and technical details.
(報告、並討論論文內容與技術。)
Student presentations and discussions on research papers and technical details. Depending on the course progress, this session may be adjusted to an independent learning week.
(報告、並討論論文內容與技術。視課程進度，可能會調整成自主學習週。)
Student presentations and discussions on research papers and technical details. Depending on the course progress, this session may be adjusted to an independent learning week.
(報告、並討論論文內容與技術。視課程進度，可能會調整成自主學習週。) |
self-directed
learning |
|
|
| Evaluation |
1. Quality of presentation slides (報告投影片): 50%
2. Oral presentation (口頭報告，輪值): 50% |
| Textbook & other References |
| 無 |
| Teaching Aids & Teacher's Website |
| Top-conference papers, like CVPR, ICCV, ECCV, NIPS, ICLR, ICML, AAAI, IJCV, etc. |
| Office Hours |
| 預約 |
| Sustainable Development Goals, SDGs(Link URL) |
| include experience courses：N |
|