2020 Faculty Courses School of Computing Department of Mathematical and Computing Science Graduate major in Mathematical and Computing Science
Topics on Mathematical and Computing Science A
- Academic unit or major
- Graduate major in Mathematical and Computing Science
- Instructor(s)
- Tsuyoshi Kobayashi / Maki Koyama / Tsubasa Okaze
- Class Format
- Lecture (Zoom)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - Intensive (Zoom)
- Class
- -
- Course Code
- MCS.T414
- Number of credits
- 200
- Course offered
- 2020
- Offered quarter
- 3-4Q
- Syllabus updated
- Jul 10, 2025
- Language
- Japanese
Syllabus
Course overview and goals
This course is given by three lecturers.
Section0: Introduction,
10/5(Mon)3-4（10:40-12:20）
Section1: Tsuyoshi Kobayashi "Mathematics and Society 5.0"
10/9(Fri)7-8, 16:15-17:55
10/12(Mon)3-4, 10:40-12:20
10/16(Fri)7-8, 16:15-17:55
10/19(Mon)3-4, 10:40-12:20
Section2: Tsubasa Okaze "Navier-Stokes equation and wind environment in urban area"
10/21(Wed)3-6, 10:40-12:20, 14:20-16:00
11/4(Wed)3-6, 10:40-12:20, 14:20-16:00
Section3: Maki Koyama "Workshop on new campus designs for mathematical and computing science"
11/9(Mon)3-4, 10:40-12:20
11/16(Mon)3-4, 10:40-12:20
11/25(Mon)3-4, 10:40-12:20
11/30(Mon)3-4, 10:40-12:20
Course description and aims
We discuss what we could do with mathematics and how we could change society and culture by using mathematics.
Keywords
History of mathematics, Computational Fluid Dynamics, Wind engineering, Urban environment, Social issues, Interdisciplinary studies, Workshop
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
Class flow
This course is given by three lecturers.
Course schedule/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | Introduction to the course 10/5(Mon)3-4, 10:40-12:20 | Understanding the contents covered by the course. |
| Class 2 | Lecture 1 by Tsuyoshi Kobayashi | Understanding the contents covered by the course. |
| Class 3 | Lecture 2 by Tsuyoshi Kobayashi | Understanding the contents covered by the course. |
| Class 4 | Lecture 3 by Tsuyoshi Kobayashi | Understanding the contents covered by the course. |
| Class 5 | Lecture 4 by Tsuyoshi Kobayashi | Understanding the contents covered by the course. |
| Class 6 | Lecture 1 by Tsubasa Okaze | Understanding the contents covered by the course. |
| Class 7 | Lecture 2 by Tsubasa Okaze | Understanding the contents covered by the course. |
| Class 8 | Lecture 3 by Tsubasa Okaze | Understanding the contents covered by the course. |
| Class 9 | Lecture 4 by Tsubasa Okaze | Understanding the contents covered by the course. |
| Class 10 | Feedback | Understanding the contents covered by the course. |
| Class 11 | Lecture 1 by Maki Koyama | Understanding the contents covered by the course. |
| Class 12 | Lecture 2 by Maki Koyama | Understanding the contents covered by the course. |
| Class 13 | Lecture 3 by Maki Koyama | Understanding the contents covered by the course. |
| Class 14 | Lecture 4 by Maki Koyama | Understanding the contents covered by the course. |
Study advice (preparation and review)
Textbook(s)
None.
Reference books, course materials, etc.
Lecture notes will be given in the lectures.
Evaluation methods and criteria
reports.
Related courses
- MCS.T313 ： Mathematical Logic
- MCS.T333 ： Information Theory
- MCS.T203 ： Linear Algebra and Its Applications
- MCS.T223 ： Mathematical Statistics
- MCS.T302 ： Mathematical Optimization
- MCS.T315 ： Mathematical Modeling
- MCS.T321 ： Numerical Analysis
- MCS.T332 ： Data Analysis
Prerequisites
None.