KGC


Keio University Shonan Fujisawa Campus
Course Summary (Syllabus)


ENVIRONMENT AND INFORMATION STUDIES (Akira Wakita

    Semester : 2019 Fall
    Code : B1002 / 1 Credits


1. Objectives/Teaching method

    本講義では、環境情報系(環境デザイン、人間環境科学、先端生命科学、先端情報システム、先端領域デザイン)の各領域における問題発見・解決、関係変革のパラダイムについての基本的な考え方に触れる。


2. Materials/Reading List

    詳細は、開講時に説明します。


3. SCHEDULE

    #1 Introduction / Quantum computers and quantum networks [9/26]
    - Introduction of the lecture by Prof. Akira Wakita
    - Quantum computers and quantum networks by Prof. Rodney D. Van Meter
    - Dialogue by Prof. Van Meter and Prof. Wakita
    - Open discussion on quantum world

    #2 Complex Systems and Natural Computing [10/3]
    - Lecture on complex systems and natural computing by Prof. Masashi Aono
    - Dialogue by Prof. Aono and Prof. Wakita
    - Open discussion on nature and computation

    #3 Art and Science [10/10]
    - Lecture on art and science by Prof. Akira Wakita
    - Open discussion on new media art and the critical design of the future

    #4 Big Data and Artificial Intelligence [10/24]
    - Lecture on big data and artificial intelligence by Prof. Kazuto Ataka
    - Dialogue by Prof. Ataka and Prof. Wakita
    - Open discussion on machine learning and value design

    #5 Design and Geometry [10/31]
    - Lecture on design and geometry by Prof. Hajime Narukawa
    - Dialogue by Prof. Narukawa and Prof. Wakita
    - Open discussion on synergetics and ecological design

    #6 FIELD WORK [TBD]
    We are planning to visit Tokyo Midtown Roppongi "Design Touch", a well known design event in Tokyo.

    #7 Computational Creativity - Artificial Intelligence and Creativity [11/7]
    - Lecture on Artificial Intelligence and Creativity by Prof. Nao Tokui
    - Dialogue by Prof. Tokui and Prof. Wakita
    - Open discussion on creativity in the age of machine learning


4. Assignments/Examination/Grad Eval.

    出席、課題、ディスカッションへの参加、プレゼンテーション等で評価します。*
    (*詳細については、講義中に説明や指示があります。)


5. Special Note

    -


6. Prerequisit / Related courses

    -


7. Conditions to take this course

    -


8. Relation with past courses

    -


9. Course URL


2019-09-04 13:40:20.084896


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