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- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
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- School of Life Science and Technology
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School of Environment and Society
- Department of Architecture and Building Engineering
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- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Graduate major in Mathematical and Computing Science
- Instructor(s)
- Watanabe Sumio
- Class Format
- Lecture (Face-to-face)
- Media-enhanced courses
- Day/Period(Room No.)
- Tue3-4(M-B107(H104)) Fri3-4(M-B107(H104))
- Group
- -
- Course number
- MCS.T403
- Credits
- 2
- Academic year
- 2023
- Offered quarter
- 2Q
- Syllabus updated
- 2023/11/14
- Lecture notes updated
- -
- Language used
- English
- Access Index
-
Course description and aims
This lecture will introduce statistical learning theory. The lectures for 2023 ended in the second quarter.
Student learning outcomes
Learn, understand, and apply statistical learning theory to the real world.
Keywords
Empirical Process Theory, VC dimension, Kernel method, SVM, boosting
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | ✔ Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
To be announced.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | under planning | under planning |
| Class 2 | under planning | under planning |
| Class 3 | under planning | under planning |
| Class 4 | under planning | under planning |
| Class 5 | under planning | under planning |
| Class 6 | under planning | under planning |
| Class 7 | under planning | under planning |
| Class 8 | under planning | under planning |
| Class 9 | under planning | under planning |
| Class 10 | under planning | under planning |
| Class 11 | under planning | under planning |
| Class 12 | under planning | under planning |
| Class 13 | under planning | under planning |
| Class 14 | under planning | under planning |
Out-of-Class Study Time (Preparation and Review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
Textbook(s)
Takafumi Kanamori, Statistical Learning Theory, Kodansha, 2015
Reference books, course materials, etc.
None
Assessment criteria and methods
under planning
Related courses
- MCS.T507 ： Theory of Statistical Mathematics
- ART.T458 ： Machine Learning
Prerequisites (i.e., required knowledge, skills, courses, etc.)
None.
