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 34  Semester 3rd 
Course type 3rd  Course code 025813
Instructor(s)
堀田 政二   [HOTTA Seiji]
Facility affiliation Faculty of Engineering Office afjgxte/L1151  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. Students will be able to propose a novel media service for the future. In order to pass this lecture, students should submit the reports related to their proposal for a novel media service.
Expected Learning
Learners who complete this course will be able to understand:
- history of multimedia,
- fundamental technology of machine learning,
- mechanism of human perception.

Corresponding criteria in the Diploma Policy:
See the Curriculum maps (computer and information science, diploma policy type B).
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 in visual perception
7. Applications of digital images
8. Trends in computer vision
9. Summary of pattern recognition
10. Machine learning (perceptron)
11. Machine learning (back propagation)
12. Machine learning (deep neural network)
13. Machine learning (recurrent neural network)
14. Machine learning (other types of neural network)
15. General overview
Prerequisites
This lecture is part of the courses in the department of computer and information science. In addition to 30 hours that students spend in the class, and they are recommended to spend 60 hours for preparing and revising the lectures.
Required Text(s) and Materials
Prints are distributed in the lecture.

References
Prints are distributed in the lecture.
Assessment/Grading
Report (100%)
Message from instructor(s)
I want students to develop a novel multimedia technology that will be a key scheme for digital communications. I would also like to encourage students to study theories of machine learning during the lectures.
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
2/27/2020 12:03:25 PM