2020 | Topics on Mathematical and Computing Science A

2020　Topics on Mathematical and Computing Science A

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Academic unit or major: Graduate major in Mathematical and Computing Science

Instructor(s): Kobayashi Tsuyoshi Koyama Maki Okaze Tsubasa

Class Format: Lecture (ZOOM)

Media-enhanced courses

Day/Period(Room No.): Intensive (Zoom)

Group: -

Course number: MCS.T414

Credits: 2

Academic year: 2020

Offered quarter: 3-4Q

Syllabus updated: 2020/11/4

Lecture notes updated: -

Language used: Japanese

Access Index

Syllabus

Course description and aims

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

Student learning outcomes

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 that will be developed

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/Required learning

	Course schedule	Required learning
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.

Textbook(s)

None.

Reference books, course materials, etc.

Lecture notes will be given in the lectures.

Assessment criteria and methods

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 (i.e., required knowledge, skills, courses, etc.)

None.

TOKYO INSTITUTE OF TECHNOLOGY