Course title
情報工学特別講義(メディア進化論)   [Dedicated Lecture on Information Engineering]
Course category		Requirement		Credit	2
Department		Year	3～4	Semester	Fall
Course type	Fall	Course code	025813
Instructor(s)
堀田 政二   [HOTTA Seiji]
Facility affiliation	Faculty of Engineering	Office		Email address

Course description

This course aims to cultivate a better understanding of media information through introducing principles of computer vision, brain machine interface, machine learning, and their applications. In addition, we also look at the meaning of existences of TV or newspapers from all sides. Finally, students will propose a novel media service for the future.

Expected Learning

In order to pass this course, students should submit the reports related to their proposal of a novel media service.

Course schedule

1. Introductions and Orientation 2. History of medias 3. Media information as an expression technique 4. Applications of Media information 5. Brain machine interface 6. Brain's roles on visual perception 7. Applications of digital images 8. Trends of computer vision 9. Summary of pattern recognition 10. Machine learning I 11. Machine learning II 12. Machine learning III 13. Machine learning IV 14. Machine learning V 15. Report submission

Prerequisites

None in particular.

Required Text(s) and Materials

Given them from your instructor.

References

None.

Assessment/Grading

Attendance (20%), Report (80%)

Message from instructor(s)

Course keywords

media information, video and image processing

Office hours

Every Monday, from 15:00 to 17:00 at the Building #10, 315, 3rd floor

Remarks 1

Remarks 2

Related URL

http://www.tuat.ac.jp/~s-hotta/media/

Lecture Language

Japanese

Language Subject

Last update

3/22/2017 3:02:01 PM