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SEMINAR B(1)
Lecturer(s) | OMAE, MANABU |
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Credit(s) | 2 |
Academic Year/Semester | 2025 Fall |
Day/Period | Mon.2 |
Campus | SFC |
Class Format | Face-to-face classes (conducted mainly in-person) |
Registration Number | 37440 |
Faculty/Graduate School | POLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES |
Year Level | 1, 2, 3, 4 |
Field | RESEARCH SEMINARS SEMINARS |
Grade Type | This item will appear when you log in (Keio ID required). |
Prerequisites(Required) | 特にありません |
Prerequisites(Recommended) | 特にありません |
Related Classes | なし |
Recommended Knowledge | 高校レベルの数学、物理の知識があると良いですが、必須ではありません。 |
Lesson URL | This item will appear when you log in (Keio ID required). |
Location | SFC |
Course Requirements | This item will appear when you log in (Keio ID required). |
Student Screening Courses requiring entry to selection should be registered via SOL-A. *Only students who have a CNS account and who are not students of the Faculty of Policy Studies, Faculty of Environment and Information Studies, Graduate School of Media and Governance, Faculty of Nursing and Medical Care, and Graduate School of Health Management can enter via the system. Please check K-Support News for the details. | This item will appear when you log in (Keio ID required). |
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Student Screening Detail | This item will appear when you log in (Keio ID required). |
Expected Number of Acceptances | This item will appear when you log in (Keio ID required). |
Assignment Submission | This item will appear when you log in (Keio ID required). |
Equipment & Software | Windows PC, Visual Studio |
Contact(Mail) | This item will appear when you log in (Keio ID required). |
K-Number | FPE-CO-05003-211-87 |
Course Administrator | Faculty/Graduate School | FPE | POLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES |
---|---|---|---|
Department/Major | CO | ||
Main Course Number | Level | 0 | Faculty-wide |
Major Classification | 5 | Research Seminars | |
Minor Classification | 00 | Seminar | |
Subject Type | 3 | Elective subject | |
Supplemental Course Information | Class Classification | 2 | Lecture |
Class Format | 1 | Face-to-face classes (conducted mainly in-person) | |
Language of Instruction | 1 | Japanese | |
Academic Discipline | 87 | Comprehensive / Integrated Areas (Natural Sciences) |
Course Summary
This seminar is aiming at increasing knowledge and skill on systems of self-driving cars.
In the Smart Mobility (Learning Technologies of Automated Vehicles), students are expected to learn knowledge and skill such as mechanical dynamics, electric circuit, vehicle dynamics, control theory, programing for machine control, programing for simulation, programing for micro-computer and so on by doing assignment given every week. In the Smart Mobility (Development of Automated Vehicles), students are expected to learn the knowledge and skill on self-driving cars by conducting and completing their research.
In the Smart Mobility (Learning Technologies of Automated Vehicles), students are expected to learn knowledge and skill such as mechanical dynamics, electric circuit, vehicle dynamics, control theory, programing for machine control, programing for simulation, programing for micro-computer and so on by doing assignment given every week. In the Smart Mobility (Development of Automated Vehicles), students are expected to learn the knowledge and skill on self-driving cars by conducting and completing their research.
Course Description/Objectives/Teaching Method/Intended Learning Outcome
This seminar is aiming at increasing knowledge and skill on automatic driving systems.
In the Smart Mobility (Learning Technologies of Automated Vehicles), students are expected to learn knowledge and skill such as mechanical dynamics, electric circuit, vehicle dynamics, control theory, programing for machine control, programing for simulation, programing for micro-computer and so on by doing assignment given every week. In the Smart Mobility (Development of Automated Vehicles), students are expected to learn the knowledge and skill on self-driving cars by conducting and completing their research.
In the Smart Mobility (Learning Technologies of Automated Vehicles), students are expected to learn knowledge and skill such as mechanical dynamics, electric circuit, vehicle dynamics, control theory, programing for machine control, programing for simulation, programing for micro-computer and so on by doing assignment given every week. In the Smart Mobility (Development of Automated Vehicles), students are expected to learn the knowledge and skill on self-driving cars by conducting and completing their research.
Research Seminar Theme
Smart Mobility (Learning Technologies of Automated Vehicles)
Project Theme (next semester)
Smart Mobility (Learning Technologies of Automated Vehicles)
Active Learning MethodsDescription
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Preparatory Study
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Course Plan
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Method of Evaluation
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Textbooks
none
Reference Books
「自動運転技術入門」 香月理絵編著、日本ロボット学会監修、オーム社
「自動運転の技術開発 その歴史と実用化への方向性」 古川 修著、グランプリ出版
「自動車の運動と制御」安部正人著,東京電機大学出版
「現代制御工学」土谷 武士, 江上 正著,産業図書
「自動運転の技術開発 その歴史と実用化への方向性」 古川 修著、グランプリ出版
「自動車の運動と制御」安部正人著,東京電機大学出版
「現代制御工学」土谷 武士, 江上 正著,産業図書
Lecturer's Comments to Students
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