2025Year

Second Semester

Biomedical Informatics

Lecture

Biomedical Informatics

Z1900007 Biomedical Informatics

FUKUOKA Yutaka

2.0Credits

Fri.2Period

Shinjuku Campus

A-0656教室

A) A high degree of specialized expertise　80%
B) The skills to use science and technology　0%
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　20%

[Objectives]
This course can be divided into three parts: 1) Information processing in humans, 2) biosystems analysis, and 3) genome informatics. The first part introduces to human nervous system, immune system and hormonal regulation system. The second covers biological instrumentation, modelling, and statistics. In the last part, computational approaches to genomic data are discussed.
[Goals]
a) Students understand basic mechanisms of information processing in humans and also computational approaches to genomic data.
b) Students acquire basic knowledge required for related research areas.
c) Students report their research questions and research projects in an intelligible manner.

Not applicable.

Not used

1st: Guidance
 Introduction to the course
2nd: Basics in biology
 According to the necessity in the later classes, basics in biology are explained.
3rd: Brain and neuroinformatics
 The physiology of the central nervous system and neuroinformatics are discussed.
4th: Sensory systems
 Human sensory systems are discussed from view points of physiology and engineering.
5th: Sensory information and motor control
 Interactions between motor control and sensory information are discussed, in particular how the latter influences the former.
6th: Immune system and hormonal regulation system
 The immune system and hormonal regulation system are discussed as examples of biological information processing systems.
7th: Biological systems
 Methods to analyze biological systems are discussed.
8th: Biological signal processing
 Various methods for biological signal processing are discussed.
9th: Systems analysis of humans
 Systems approach to humans are discussed.
10th: Statistics in medicine and biology
 Statistical methods for medicine and biology are introduced.
11th: Genomics
 Informatical aspects of genomics are reviewed.
12th: Computational analysis of genomic data
 Computational methods to analyze genomic data are discussed.
13th: Systems biology
 Key concepts of systems biology are introduced and discussed.
14th: Review
 The discussions in the 2nd to 13th classes are reviewed.

According to their needs, students are encouraged to study advanced levels based on reference books.

By report. The theme is his/her research project and the research question. The report must be written in an intelligible manner. Details will be announced in the lecture.

After report submission, feedback will be made available on the Learning Management System.

No textbook is designated because there is none covering the entire contents. The first reference book covers the topics from the third to ninth classes.

1) Y. Fukuoka, T. Uchiyama, T. Nomura: Fundamentals of Biosystems Modeling and Simulation, ISBN 987-4-339-03371-7, Corona Publishing Co., LTD, March 2015. (in Japanese)

Depending on topics, the following books are helpful.
2) N. Ohnishi: Biological Information Processing, Shokodo Publishing Co., LTD. (in Japanese)
3) T. Tada: Immunity- Science of Self and Non-self, NHK Publishing Co. Ltd. (in Japanese)
4) Japanese Endocrine Society Ed.: Hormones Regulating Biological Processes, Kodansha Publishing Co., LTD. (in Japanese)
5) A. Konagaya: Genes and Computer, Kyoritsu Publishing Co., LTD. (in Japanese)
6) H. Kitano, Systems Biology, Shujunsha Publishing Co., LTD. (in Japanese)

9:30-10:30 AM on Mondays

This course treats various biological processes in order to understand their basic mechanisms from engineering viewpoints. Students with strong motivation are welcome.

Not applicable

Electrical Engineering and Electronics Program