Syllabus

SubjectDATA-DRIVEN ART

Class Information

Faculty/Graduate School
POLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES
Course Registration Number
32649
Subject Sort
X1061
Title
DATA-DRIVEN ART
Field
Special Subjects
Unit
2 Unit
Year/Semester
2022 Fall
K-Number
Year/Semester
2022 Fall
Day of Week・Period
Lecturer Name
Daito Manabe,Patrick Savage E,Shinya Fujii,Nao Tokui,Akira Wakita
Class Format
Face-to-face
Language
Japanese
Location
SFC
Class Style
*Please click here for more information on the correspondence between 'Class Style' and ’Active Learning Methods’.
Lecture, Seminar, Lab / On-site Training / Skill-Development, Group Work
GIGA Certificate
Not applied

Detail

Course Summary

The purpose of this course is to explore the possibilities of new artistic expression based on big data and artificial intelligence in a society where the Internet is a prerequisite.

Daito Manabe, one of Japan's leading media artists, will be invited as a special guest professor, and through a practical classroom format, we will develop and propose short video works or compositional techniques. The class is mainly a workshop format, focusing on the development of ideas and prototypes in group work, scriptwriting and video production through the application of digital technology.

Students give presentations at each stage of the class, and the professors including Daito Manabe, will review and give feedback. So far, we have focused on the digital technologies such as motion capture, electromyography, electroencephalogram, muscle electrical stimulation, and worked on visualization and signification of the data especially focusing on the machine learning programming.

The professors and invited guest speakers will give lectures on how new digital technologies can be disseminated to the world, as well as the possibility and importance of addressing social issues from the perspective of art.