2025Year

First Semester

Mathematical Analyses

Lecture

Mathematical Analyses

Z1900029 Mathematical Analyses

TAKEKAWA Takashi

2.0Credits

Mon.2Period

Shinjuku Remote

.,A-1441 Izumi12

A) A high degree of specialized expertise　80%
B) The skills to use science and technology　20%
C) The ability to conduct research independently, knowledge pertaining to society and occupations, and sense of ethics required of engineers and researchers　0%
D) Creative skills in specific areas of specialization　0%

On completion of this course, the student should be able to:
• Understand the fundamental models of neurons and computational theories of the brain.
• Learn the basics of complex systems dynamics.
• Explore research on the brain as a complex system.

[Requirements (preferable)]
Understanding of the basics of differential equations and probability statistics.

Project Based Learning／Discussion Debate／Presentation／Interactive classes using ICT／Support for self-learning using ICT

1. Introduction to Neuroscience
2. Introduction to Complex Systems
3. Neuron Models
4. Visual Information Processing
5. Computational Theories of the Brain
6. Problem-Solving Processes in the Brain

Grades will be based on presentations and reports in the lecture.

The class will be conducted with questionnaires and dialogues to measure the level of understanding.

No designated textbook.

創造性の脳科学: 複雑系生命システム論を超えて、坂本 一寛 (著)、東京大学出版会、ISBN 978-4130633727

Monday 15:35-17:20, A-1516

The content will differ significantly from previous years. While the course will primarily follow the reference book, we aim to explore a broader perspective on intelligence, centered around computational theories of the brain.

Applicable

データ分析の経験がある教員が、実データに対する理論適用の経験を活かし、実践的な力学系理論の活用について講義する。

Informatics Program