IGESS (Institute for Global Economics and Social Sciences)

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PRI100XE(情報学基礎 / Principles of informatics 100)
Introduction to Computer Science and Information Technology 

Jinjia ZHOU

Class code etc
Faculty/Graduate school IGESS (Institute for Global Economics and Social Sciences)
Attached documents
Year 2021
Class code H9701
Previous Class code
Previous Class title
Term 秋学期授業/Fall
Day/Period 火5/Tue.5
Class Type
Campus 小金井
Classroom name
Grade
Credit(s)
Notes
Open Program
Open Program (Notes)
Global Open Program
Interdepartmental class taking system for Academic Achievers
Interdepartmental class taking system for Academic Achievers (Notes)
Class taught by instructors with practical experience
SDGs CP
Urban Design CP
Diversity CP
Learning for the Future CP
Carbon Neutral CP
Chiyoda Campus Consortium
Category General Education Courses/総合教育科目
Global Open Program/グローバルオープン科目
Faculty Sponsored Department Science and Engineering

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Outline and objectives

This class is a part of the group of English based global open classes, which aims at giving students chances of global experience. Students can acquire comprehensive introductory knowledge and insight on the important fields in computer science and information.

Goal

Students can acquire a clear and comprehensive perspective of R/D issues in the field of computer science and information technology. Students can learn scientific (mathematical, physical) bases of cutting age technologies with large practical significance.

Default language used in class

英語 / English

Method(s)(学期の途中で変更になる場合には、別途提示します。 /If the Method(s) is changed, we will announce the details of any changes. )

This class is taught in an omnibus style by professors Jinjia Zhou, Hitoshi Iyatomi, Akinori Fujii, Runhe Huang, Kaoru Uchida, Torikai and Dr.Taro Kurita. Each lecturer will have two classes. Topics varies from basic software engineering to advanced AI technology as shown in the class contents below.
The HOPPII online learning system will be used to submit the report and get feedback from the lecturers.
[*Classes could be online. Changes in lecture plan due to this shift will be announced on the learning support system.]

Active learning in class (Group discussion, Debate.etc.)

なし / No

Fieldwork in class

なし / No

Schedule

※各回の授業形態は予定です。教員の指示に従ってください。

Class day 1:Introduction and Multimedia processing
(Jinjia Zhou)

Overview of the topics in the field of computer science and information technology which will be taught in the class.

Class day 2:Multimedia processing
(Jinjia Zhou)

ASIC/FPGA architectures for multimedia signal processing and low-power, high-performance, VLSI design for video coding/decoding.

Class day 3:Software Engineering 1 (Taro Kurita)

The basic concepts of agile
software development, including manifesto for agile
software development, principles behind the agile
manifesto, and scrum, which is an agile framework.

Class day 4:Software Engineering 2
(Taro Kurita)

The basic concepts of user
interface (UI) and user experience (UX), including human
machine interface (HMI), user experience design (UXD),and human centered design (HCD).

Class day 5:Image and Intelligent information processing 1
(Hitoshi Iyatomi)

Fundamentals of image processing, image recognition and analysis.

Class day 6:Image and Intelligent information processing 2
(Hitoshi Iyatomi)

Computer vision, machine learning, deep learning, text mining and their medical engineering applications.

Class day 7:Biomimetic and AI electronic circuits 1
(Hiroyuki Torikai)

Fundamentals of biomimetic electronic circuit

Class day 8:Biomimetic and AI electronic circuits 2
(Hiroyuki Torikai)

Fundamentals of AI electronic circuit

Class day 9:Pattern recognition 1
(Kaoru Uchida)

Fundamentals of pattern recognition and real world application.

Class day 10:Pattern recognition 2
(Kaoru Uchida)

Biometrics and business innovation through computer and information sciences.

Class day 11:Ubiquitous systems software and artificial intelligence 1
(Runhe Huang)

Knowledge representation and configuration, knowledge discovery and fusion, human cognitive process modeling.

Class day 12:Ubiquitous systems software and artificial intelligence 2
(Runhe Huang)

Brain modeling for Internet machine/robot/system/organism/biomass, self-observation, self-learning, self-organization based self-evolutionary brain model.

Class day 13:Computer system design and innovation 1
(Akihiro Fujii)

Fundamentals of computer system design, distributed system design, semantic web.

Class day 14:Computer system design and innovation 2
(Akihiro Fujii)

Computer system design and innovation 2
Web-service, collective intelligence and innovative business applications

Work to be done outside of class (preparation, etc.)

Assignments will be given at the first class. Submission of the short paper is required at each professor's class.

Textbooks

Handouts will be provided at each professor's class.

References

References will be shown in the handouts provided by each professor.

Grading criteria

Grading will be made by the letter grades of submitted short papers to each professor.

Changes following student comments

n/a

Others

1) Since classes are taught in English, students need to have a certain level of English proficiency. We welcome students who challenge to overcome the language barrier.
2) If the class is offered online, the learning support system will provide information about the change in the online lesson method, lesson plan, and grade evaluation method each time. Please regularly check to see if the instructor has contacted you through the learning support system.