開講学期/Course Start | 2024年度/Academic Year 後期/Second |
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開講曜限/Class period | 木/Thu 3 , 木/Thu 4 |
授業区分/Regular or Intensive | 週間授業 |
対象学科/Department | 大学院工学研究科博士前期課程環境創生工学系専攻土木工学コース/Master's CourseDivision of Sustainable and Environmental Engineering |
対象学年/Year | 1年 , 2年 |
授業科目区分/Category | 博士前期課程 大学院自専攻科目 |
必修・選択/Mandatory or Elective | 選択 |
授業方法/Lecture or Seminar | 講義科目 |
授業科目名/Course Title | 社会情報システム特論/Advanced Social Information System |
単位数/Number of Credits | 2 |
担当教員名/Lecturer | 桑田 喜隆 (学部) , 小川 祐紀雄 (学部) |
時間割コード/Registration Code | MS123BE |
連絡先/Contact |
桑田 喜隆(A315/0143-46-5893/kuwata@muroran-it.ac.jp ※社会情報システム特論については、直接小川先生に問い合わせて下さい。) 小川 祐紀雄( E-mail: ogawa.yukio@kagawa-u.ac.jp) |
オフィスアワー/Office hours |
桑田 喜隆(部屋を開けることが多いので、基本的にメールで質問をお願いします。 ※社会情報システム特論については、直接小川先生に問い合わせて下さい。) 小川 祐紀雄((電子メールでの問い合わせをお願いします)) |
実務経験/Work experience |
桑田 喜隆(情報サービス事業を扱う企業でのシステム開発経験を有する)
小川 祐紀雄(総合電機メーカーでの企業情報ネットワーク・システムの設計・構築・運用の経験を有する) |
更新日/Date of renewal | 2024/01/17 |
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授業のねらい /Learning Objectives |
Information systems and networks are used for sharing valuable information in organizations and with the general public, as well as tightly coupled with critical infrastructures including banking and finance, transportation, energy supply, agriculture and emergency response. Information systems and networks themselves are thus important as a part of critical infrastructures and need to provide solutions for local issues such as natural disaster, population decline, industrial development, and globalization. In this course, latest technologies of the information systems and networks are comprehensively explained from such a critical infrastructure perspective. |
到達度目標 /Outcomes Measured By: |
The goals of this course are to (1) Understand the role of networked information systems related to critical infrastructures. (2) Understand the issues in networked information systems related to critical infrastructures. |
授業計画 /Course Schedule |
No. 1 Introduction - End of Ownership No. 2 Architecture of Critical Infrastructures (1) Cloud Data Centers No. 3 Architecture of Critical Infrastructures (2) Networks and Edge Computing No. 4 Architecture of Critical Infrastructures (3) Web and Social Media Platforms No. 5 Security of Critical Infrastructures (1) Vulnerability to Cyber Attacks No. 6 Security of Critical Infrastructures (2) IoT-enabled Cyber Attacks No. 7 Emergence of the Crowd (1) Crowd Sourcing No. 8 Emergence of the Crowd (2) Crowd Sensing No. 9 Emergence of the Crowd (3) Vehicular Sensing No. 10 Emergence of the Crowd (4) Knowledge Sharing and Fake News No. 11 Artificial Intelligence (1) Current Technologies and Ethical Concerns No. 12 Artificial Intelligence (2) Application: Autonomous Driving No. 13 Artificial Intelligence (3) Toward Better Brain No. 14 Blockchain Technology (1)Block Chain Basics No. 15 Blockchain Technology (2) Web 3.0 Total hours=22.5 For each 90 minute class, students are expected to undertake an additional 4 hours of self study. |
教科書・参考書に関する備考 | No text books. Presentation slides are posted on the Moodle. |
成績評価方法 /Grading Guidelines |
The score of each student is evaluated by the contribution to discussion in classes (50%) and a term paper (50%). A grade of more than or equal to 60 is accepted for a credit. |
履修上の注意 /Notices |
It is important to develop skills for considering and addressing issues like: how info rmation systems & networks make contributions for the development of critical infrastructures. |
教員メッセージ /Message from Lecturer |
It is important to develop skills for considering and addressing issues like: how information systems & networks make contributions for the development of critical infrastructures. |
学習・教育目標との対応 /Learning and Educational Policy |
(1)Ability to identify and analyze complex issues |
備考 /Notes |
This class is taught in English and scheduled for students who prefer English rather than Japanese. 本科目においては,数理データサイエンス教育プログラムの科目における情報基礎科目群に含まれ,情報関連の基盤的な内容を学びます。DSポイント:2ポイント The content of this course is the fundamental Informatics and Systemics. The course is supported by Mathematical and Data Science Education Program of Muroran Institute of Technology. |
No. | 回(日時) /Time (date and time) |
主題と位置付け(担当) /Subjects and instructor's position |
学習方法と内容 /Methods and contents |
備考 /Notes |
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該当するデータはありません |
Active learning 1-1 /主体的学修(反転授業,小テスト,振り返り 等) |
Students are required to contribute to discussion in classes. |
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Active learning 1-2 /上記項目に係るALの度合い |
15%~50% |
Active learning 2-1 /対話的学修(グループ学習,協働,調査体験 等) |
The contents of class materials are discussed to deepen the understandings of the themes. |
Active learning 2-2 /上記項目に係るALの度合い |
15%~50% |
Active learning 3-1 /深い学修(複数科目の知識の総合化や問題解決型学修 等) |
This course expects students to understand information systems deeply through studying latest technologies and issues in critical infrastructures such as banking and finance, energy supply, transportation, and disaster response. |
Active learning 3-2 /上記項目に係るALの度合い |
15%未満 |