IISTIIST (Institute of Integrated Science and Technology)
CAR500D1（キャリア教育 / Career education 500）IIST SeminarIIST Seminar
IISTセミナー
余 恪平Keping YU
授業コードなどClass code etc
| 学部・研究科Faculty/Graduate school | IISTIIST (Institute of Integrated Science and Technology) |
| 添付ファイル名Attached documents | |
| 年度Year | 2023 |
| 授業コードClass code | YD960 |
| 旧授業コードPrevious Class code | |
| 旧科目名Previous Class title | |
| 開講時期Term | 秋学期授業/Fall |
| 曜日・時限Day/Period | 水4/Wed.4 |
| 科目種別Class Type | |
| キャンパスCampus | 小金井 / Koganei |
| 教室名称Classroom name | 各学部・研究科等の時間割等で確認 |
| 配当年次Grade | |
| 単位数Credit(s) | 2 |
| 備考（履修条件等）Notes | |
| 実務経験のある教員による授業科目Class taught by instructors with practical experience |
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授業の概要と目的（何を学ぶか）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.
到達目標Goal
Students can learn advanced research from various fields including robotics, bioscience, applied chemistry, computer vision, plant science, and so on.
授業で使用する言語Default language used in class
英語 / English
授業の進め方と方法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.
アクティブラーニング（グループディスカッション、ディベート等）の実施Active learning in class (Group discussion, Debate.etc.)
なし / No
フィールドワーク（学外での実習等）の実施Fieldwork in class
なし / No
授業計画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[対面/face to face]：Introduction
Overview of the topics which will be taught in the class.
2[対面/face to face]：Multimedia processing
Introduce the multimedia processing technologies including the video processing, audio processing, 3D computer graphic.
3[対面/face to face]：Robotics
Introduce the brain machine interface, evolutionary robotics, and multi robot systems.
4[対面/face to face]：Biophysics
Introduce protein biophysics.
5[対面/face to face]：Intelligent information processing & Data analysis
Introduce intelligent information processing technologies.
6[対面/face to face]：Management system engineering (1)
Introduce research in management system engineering.
7[対面/face to face]：Management system engineering (2)
Introduce research in management system engineering.
8[対面/face to face]：Plant science
Introduce the research topics in plant science.
9[対面/face to face]：Applied chemistry
Introduce research in applied chemistry.
10[対面/face to face]：Pattern recognition
Fundamentals of pattern recognition and real-world application.
11[対面/face to face]：Biometrics and business innovation
Biometrics and business innovation through computer and information sciences.
12[対面/face to face]：Human harmonic sensing and control
Introduce human augmented technologies.
13[対面/face to face]：Robotics
Introduce intelligent systems.
14[対面/face to face]：Information processing technology and
Summary of course
Introduce information processing technology and summarize the course.
授業時間外の学習（準備学習・復習・宿題等）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.
テキスト（教科書）Textbooks
Handouts and prints will be distributed.
参考書References
References are shown in the handouts provided by each professor.
成績評価の方法と基準Grading criteria
Reports (80%) + in class activities (20%)
学生の意見等からの気づきChanges following student comments
None in particular.
その他の重要事項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.