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Course Detail

Degree
Master
Standard Academic Year
1, 2
Course delivery methods
Subject
Biological sciences, Computer Science, Mass communications & documentation
Program
School
Master's Program in Informatics
Department
Master's Program in Informatics
Campus
Tsukuba Campus
Classroom
Course Offering Year
2023-2024
Course Offering Month
-
Weekday and Period
Capacity
Credits
2.0
Language
English
Course Number
0ATW125

Biological and Life Informatics University of Tsukuba

Course Overview

A course designed to teach informatic aspects of life. Measurement and modelling, data storage, analysis and representation of biological phenomena are discussed, focusing on genetic information, information processing in living organisms, brain activity and physiological signals. Specifically, bioinformatics methods to treat biological information, systems biology approach to model living organisms, physiological signal processing, auditory system and its modeling, and media art with physiological information are explained. Informatic principles and approaches in modern biology will also be discussed with related biological processes.

Learning Achievement

Those completing the course will be able to understand and explain measurement and modelling, data storage, analysis and representation of genetic information, information processing in living organisms, brain activity and physiological signals.

Competence

Quantitative research competence, Media expertise

Course prerequisites

Grading Philosophy

Grading Method

Grading considers the assignment woks given based on the course objectives.

Percentage

- Assignment work : 100%

Grading Criteria

Students will pass the course based on the following criteria.
- All assignments are submitted before the deadlines
- All assignments are above the minimum criteria

The grade of A+ to C will be based on the average score of the assignments.

Course schedule

(1) Genome and genetic information [Maeshiro]
(2) Similarity of genetic information [Maeshiro]
(3) Gene expression and gene regulatory networks [Maeshiro]
(4) Systems science [Maeshiro]
(5) Modelling of living organisms [Maeshiro]
(6) Digital signal processing and physiological signal processing [Terasawa]
(7) Frequency analysis of brain wave signals [Terasawa]
(8) Analysis of evoked potentials [Terasawa]
(9) Electrocardiography [Terasawa]
(10) Electromyography [Terasawa]

Course type

Lectures

Online Course Requirement

Instructor

Other information

Class format
- (1) - (5) : Face to face
- (6) - (10) : On-demand videos (via Microsoft Stream) and hands-on programming assignments
Assignments
- Content: Assignment woks based on the course objectives
- Submission: manaba
- Due date: will be described in manaba

Site for Inquiry


Link to the syllabus provided by the university