タイトル

開講年度 開講学部等
2026 共通教育
開講学期 曜日時限 授業形態 AL（アクティブ・ラーニング）ポイント
前期後半 月7～8 講義  
時間割番号 科目名[英文名] 使用言語 単位数
1001020035 データ科学と社会Ⅱ(データ科学と社会Ⅱ)[Data Science and Society Ⅱ] 日本語 1
担当教員（責任）[ローマ字表記] メディア授業
堀田 昌志[HOTTA Masashi] ー
担当教員[ローマ字表記]
堀田 昌志　[HOTTA Masashi]
特定科目区分   対象学生 工(電電) 対象年次 1～
ディプロマ・ポリシーに関わる項目 カリキュラムマップ(授業科目とDPとの対応関係はこちらから閲覧できます)
授業の目的と概要
(1) Understand and be able to practice key considerations in utilizing data and AI.
　Explains information security, ethics, and regulations.
(2) Deepen understanding of data science based on the content of Data Science and Society I.
　Explains technologies and the latest trends for utilizing data and AI. Also introduces practical examples of data science applications in business and research.
授業の到達目標
To prepare for the advent of the “ultra-smart society,” students will gain an understanding of the fundamentals of data science that underpins it, while also acquiring the basic knowledge and skills necessary to proactively select information and information tools, and to utilize them correctly and safely.
授業計画
【全体】
This course explains essential considerations for utilizing data and AI (information security, ethics, and regulations). It also covers the technologies and latest trends for data and AI utilization, building upon the content of Data Science and Society I.
Classes will primarily be conducted in a lecture format (including watching videos).
項目 内容 授業時間外学習 備考
第1回 Introduction Explain the course outline and make necessary preparations. Students are required to complete preparatory and review work for the content covered in class (estimated study time: 4 hours).
第2回 Important Considerations for Data Protection
(Information Security) 		This section explains the concepts of information security and specific countermeasures. Students are required to complete preparatory and review work for the content covered in class (estimated study time: 4 hours).
第3回 Data and AI Utilization: Regulations and Ethics　(1) This section explains key considerations for utilizing data and AI, focusing primarily on legal regulations. Students are required to complete preparatory and review work for the content covered in class (estimated study time: 4 hours).
第4回 Data and AI Utilization: Regulations and Ethics (2) This section explains key considerations for utilizing data and AI, focusing primarily on legal regulations. Students are required to complete preparatory and review work for the content covered in class (estimated study time: 4 hours).
第5回 Technologies and Latest Trends for Data and AI Utilization This section explains the technologies used in data science and AI applications.Explaining the latest trends in data and AI utilization. Students are required to complete preparatory and review work for the content covered in class (estimated study time: 4 hours).
第6回 The Front Lines of Data and AI Utilization in Industrial Sectors External lecturers affiliated with companies and other organizations explain examples of data and AI utilization in their professional work. Students are required to complete preparatory and review work for the content covered in class (estimated study time: 4 hours).
第7回 The Front Lines of Data Utilization in Academic Fields Faculty members responsible for the students' respective academic departments and fields of study will explain examples of data utilization in research. Students are required to complete preparatory and review work for the content covered in class (estimated study time: 4 hours).
第8回 Data Science Learning Through Video Viewing and Final Report Watch videos related to data science, understand their content, and apply that knowledge to your future actions. Students are required to complete preparatory and review work for the content covered in class (estimated study time: 4 hours).
※AL（アクティブ・ラーニング）欄に関する注
・授業全体で、AL（アクティブ・ラーニング）が占める時間の割合を、それぞれの項目ごとに示しています。
・A〜Dのアルファベットは、以下の学修形態を指しています。
【A：グループワーク】、【B：ディスカッション・ディベート】、【C：フィールドワーク（実験・実習、演習を含む）】、【D：プレゼンテーション】
A: --%　B: --%　C: --%　D: --%
成績評価法
Grades will be based on reports assigned for each class (40%) and a final report (60%).
教科書にかかわる情報
備考
Handouts will be distributed as needed. Video materials and other resources will be posted on the corresponding Moodle course page.
参考書にかかわる情報
備考
メッセージ
Students who miss two or more classes without a valid reason will not receive a grade. Absences should be limited to one instance only when absolutely unavoidable. The final report is mandatory.
キーワード
持続可能な開発目標（SDGs）

  • 産業と技術革新の基盤をつくろう
(インフラ、産業化、イノベーション)強靱（レジリエント）なインフラ構築、包摂的かつ持続可能な産業化の促進及びイノベーションの推進を図る。
関連科目
履修条件
連絡先
Tokiwabashi Campus: Electrical and Electronic Engineering Building, Room 6FA608
Masashi Hotta
E-mail: hotta@yamaguchi-u.ac.jp
Extension: 9436
オフィスアワー
Hours vary depending on the day of the week and season. Additionally, due to varying schedules, appointments may be handled online. Please contact the email address listed above in advance to schedule an appointment.

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