IGESSIGESS (Institute for Global Economics and Social Sciences)
PRI100CB（情報学基礎 / Principles of informatics 100）Basic Computer Skills BBasic Computer Skills B
ROBERT M SINCLAIRRobert Michael SINCLAIR
授業コードなどClass code etc
| 学部・研究科Faculty/Graduate school | IGESSIGESS (Institute for Global Economics and Social Sciences) |
| 添付ファイル名Attached documents | |
| 年度Year | 2021 |
| 授業コードClass code | A9619 |
| 旧授業コードPrevious Class code | |
| 旧科目名Previous Class title | |
| 開講時期Term | 春学期授業/Spring |
| 曜日・時限Day/Period | 月5/Mon.5 |
| 科目種別Class Type | |
| キャンパスCampus | 市ヶ谷 / Ichigaya |
| 教室名称Classroom name | |
| 配当年次Grade | 1～4 |
| 単位数Credit(s) | 2 |
| 備考（履修条件等）Notes | |
| 他学部公開科目Open Program | |
| 他学部公開（履修条件等）Open Program (Notes) | |
| グローバル・オープン科目Global Open Program | ○ |
| 成績優秀者の他学部科目履修制度対象Interdepartmental class taking system for Academic Achievers | |
| 成績優秀者の他学部科目履修（履修条件等）Interdepartmental class taking system for Academic Achievers (Notes) | |
| 実務経験のある教員による授業科目Class taught by instructors with practical experience | |
| SDGsCPSDGs CP | |
| アーバンデザインCPUrban Design CP | |
| ダイバーシティCPDiversity CP | |
| 未来教室CPLearning for the Future CP | |
| カーボンニュートラルCPCarbon Neutral CP | |
| 千代田コンソ単位互換提供（他大学向け）Chiyoda Campus Consortium | |
| カテゴリーCategory |
General Education Courses／総合教育科目 Information Technology／情報学分野 |
| 科目主催学部Faculty Sponsored Department | IGESS |
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授業の概要と目的（何を学ぶか）Outline and objectives
Computer technology is developing rapidly and can be difficult to follow. By studying current developments and their historical background, it is possible to gain an understanding of how computer technology may impact future society. Topics will include A.I. and Big Data.
到達目標Goal
You will be able to understand the basic ideas behind the rapid developments in computer technology. The goal is to equip you with the understanding required to take part in discussions about the use of computer technology at your future workplace and as members of society.
この授業を履修することで学部等のディプロマポリシーに示されたどの能力を習得することができるか（該当授業科目と学位授与方針に明示された学習成果との関連）Which item of the diploma policy will be obtained by taking this class?
IGESS Dipromapolicy DP2／DP9
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. ）
The primary approach of this course will be active learning. This involves class discussions and also individual or group research. Lectures will be given as appropriate to guide this active learning. There will be homework assigments, usually essays on a given topic. Homework assignments are to be submitted in class, and will be returned at the beginning of the following class. Individual written feedback will be provided as appropriate, and general comments regarding the homework submissions will be made in class.
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.)
あり / Yes
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
※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：A.I.
What is "intelligence", and what kinds of intelligence do we see in nature?
2：A.I.
What kinds are Artificial Intelligence are possible?
3：A.I.
The history of Artificial Intelligence.
4：A.I.
What is the current level of Artificial Intelligence?
5：A.I.
Ethical and legal issues relating to Artificial Intelligence.
6：Project Work I
Individual and/or group research on an A.I.-related topic.
7：Project Work II
Class discussion of progress made in project work.
8：Project Work III
Presentation of the results of research projects.
9：Big Data
A history of Big Data, including a discussion of relevant technologies and privacy issues.
10：Big Data
The relationship between Artificial Intelligence and Big Data.
11：Big Data
Big Data in medicine, including DNA sequencing, and related privacy and ethical concerns.
12：Project work IV
Individual and/or group research on an Big Data-related topic.
13：Project work V
Presentation of the results of research projects.
14：The future of computing
Quantum and optical computing.
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.)
No preliminary preparation for the class is required.The standard preparation and review time for this class is 2 hours each.
テキスト（教科書）Textbooks
There is no need to buy a textbook.
参考書References
References will be provided as appropriate.
成績評価の方法と基準Grading criteria
Regular assignments (50%) and two major projects (50%).
学生の意見等からの気づきChanges following student comments
Classes will be discussion-based, so students can give immediate feedback during class. Teaching will be done in a flexible manner, taking these comments into account, and making changes where appropriate. Class discussions will also be influenced by current news stories relating to computing.
学生が準備すべき機器他Equipment student needs to prepare
It will be useful if students can bring their own laptop computer to class.
その他の重要事項Others
Please note that if the number of students attending the first class significantly exceeds expectations, in order for the instructor to effectively manage the class, the number of students who are allowed to register for the course may be limited.