IIST (Institute of Integrated Science and Technology)

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CAR500D1(キャリア教育 / Career education 500)
IIST Seminar
IISTセミナー

Jinjia ZHOU

Class code etc
Faculty/Graduate school IIST (Institute of Integrated Science and Technology)
Attached documents
Year 2022
Class code YD960
Previous Class code
Previous Class title
Term
Day/Period
Class Type
Campus 小金井 / Koganei
Classroom name 各学部・研究科等の時間割等で確認
Grade
Credit(s) 2
Notes
Class taught by instructors with practical experience

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Outline and objectives

In this course, professors from different departments are invited to introduce their research. Students can acquire comprehensive introductory knowledge and insight on various research fields.

Goal

Students can learn advanced research from various fields including robotics, bioscience, applied chemistry, computer vision, plant science, and so on.

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 from different research fields. Topics vary from robotics technologies, AI technology to advanced bioscience, chemistry, plant science and so on. The class contents are shown below. The learning support system HOPPII will be used to submit reports and get feedback from lecturers.

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

なし / No

Fieldwork in class

なし / No

Schedule

授業形態/methods of teaching:対面/face to face

※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。

1[未定/undecided]:Introduction

Overview of the topics which will be taught in the class.

2[未定/undecided]:Multimedia processing

Introduce the multimedia processing technologies including the video processing, audio processing, 3D computer graphic.

3[未定/undecided]:Robotics

Introduce the brain machine interface, evolutionary robotics, and multi robot systems.

4[未定/undecided]:Biophysics

Introduce protein biophysics.

5[未定/undecided]:Intelligent information processing & Data analysis

Introduce intelligent information processing technologies.

6[未定/undecided]:Management system engineering (1)

Introduce research in management system engineering.

7[未定/undecided]:Management system engineering (2)

Introduce research in management system engineering.

8[未定/undecided]:Plant science

Introduce the research topics in plant science.

9[未定/undecided]:Applied chemistry

Introduce research in applied chemistry.

10[未定/undecided]:Pattern recognition

Fundamentals of pattern recognition and real-world application.

11[未定/undecided]:Biometrics and business innovation

Biometrics and business innovation through computer and information sciences.

12[未定/undecided]:Human harmonic sensing and control

Introduce human augmented technologies.

13[未定/undecided]:Robotics

Introduce intelligent systems.

14[未定/undecided]:Information processing technology and
Summary of course

Introduce information processing technology and summarize the course.

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

[Preparatory study and review time for this class are 4 hours each.] Submission of the short paper is required in each professor's class.

Textbooks

Handouts and prints will be distributed.

References

References are shown in the handouts provided by each professor.

Grading criteria

Reports (80%) + in class activities (20%)

Changes following student comments

None in particular.

Others

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.