市ヶ谷リベラルアーツセンター(ILAC)ILAC Course
PRI100LA(情報学基礎 / Principles of informatics 100)Elementary Information TechnologyElementary Information Technology
松田 裕幸Yukou MATSUDA
授業コードなどClass code etc
学部・研究科Faculty/Graduate school | 市ヶ谷リベラルアーツセンター(ILAC)ILAC Course |
添付ファイル名Attached documents | |
年度Year | 2021 |
授業コードClass code | P0162 |
旧授業コードPrevious Class code | |
旧科目名Previous Class title | |
開講時期Term | 秋学期授業/Fall |
曜日・時限Day/Period | 木3/Thu.3 |
科目種別Class Type | |
キャンパスCampus | 市ヶ谷 |
教室名称Classroom name | |
配当年次Grade | |
単位数Credit(s) | 2 |
備考(履修条件等)Notes | GBP/SCOPE 1~4年※定員制 |
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 | |
選択・必修Optional/Compulsory | |
カテゴリー(2017年度以降)Category (2018~) |
2017年度以降入学者 ILAC科目 100番台 選択基盤科目 0群(自校教育、基礎ゼミ、情報、キャリア教育関連科目等) |
カテゴリー(2016年度以前)Category (2017) |
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授業の概要と目的(何を学ぶか)Outline and objectives
You will learn basic knowledge about information technology and you will have a chance of learning Python programming.
到達目標Goal
You will learn basic knowledges of information technology, especially computer architecture, algorithmic programing, data science, and the mechanism of the Internet and related subjects (social network, e-commerce, ethics, security).
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?
各学部のディプロマ・ポリシーのうち、以下に関連している。法学部・法律学科:DP3・DP4、法学部・政治学科:DP1、法学部・国際政治学科:DP1、文学部:DP1、経営学部:DP1、国際文化学部:DP4、人間環境学部:DP2、キャリアデザイン学部:DP1
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. )
You need register your student account for this class until the specified date in Learning Support System Hoppi https://hoppii.hosei.ac.jp/portal . The detail of how to get the on line lecture is explained on the course page. Please read the detail in advance.
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.)
なし / No
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:What's Information Technology
The history and the current trend of information technology.
2:Data Processing
Several kinds of data and how to process data.
3:Information Processing
Define the information and how to process and communicate information.
4:Computing Technology
Architecture of computing system. From old fashioned type to super computer.
5:Algorithmic Programming
Design algorithms for solving problem.
6:Data Science - Predicting
Predicting the future being given the past data.
7:Data Science - Classification
Classifying the data according to certain criteria.
8:Communication Technology
Understanding the information communication technology.
9:Internet Protocol
TCP/IP
10:Mechanism of email and World Wide Web (WWW)
Based on server/client system, encoding/decoding information and TCP/IP makes it possible, email and www.
11:e-Commerce
the core technology of e-commerce is public key encryption and block chain.
12:Social Network
Graph theory: understanding the relation among entities.
13:Internet Ethics and Security
Several aspects of ethics and security inherent in the Internet.
14:Final Examination
examination performed with paper and pencil.
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.)
We specify a short article related to the next class in advance, you should read, understand, bring the issue discussed in the article. Preparatory study and review time for this class are 2 hours each.
テキスト(教科書)Textbooks
None.
参考書References
All texts are uploaded in Hoppii.
成績評価の方法と基準Grading criteria
Total evaluation of 14 short assignments : 50%
The score fo the final examination: 50%
You need more than and equal to 60% of the max 100 points to pass the class.
学生の意見等からの気づきChanges following student comments
None.
学生が準備すべき機器他Equipment student needs to prepare
None.
その他の重要事項Others
I have a long carrier in writing and designing for automatic programming, teaching human knowledge to computer, especially natural language.