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)Information TechnologyInformation Technology
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 | P0163 |
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 | 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 | 選択必修 |
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) |
2016年度以前入学者 市ヶ谷基礎科目・総合科目 0群 |
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授業の概要と目的(何を学ぶか)Outline and objectives
You will learn the information and communication technology with Python programming.
到達目標Goal
You will learn the information and communication technology with Python programming.The main topics are the forms of information, knowledge representation of human knowledge, and autonomous systems.
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. )
The course style depends on the social situation. You need register your student account for this class in Learning Support System Hoppi https://hoppii.hosei.ac.jp/portal . The detail of how to get the online 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.)
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:How Information Transmitted
discussing about transmitting media and the way of transmitted.
2:How to Control Transmitting
Internet addressing and the role of transmitting protocol.
3:Communication Language
Human vs. Human, Human vs. Computer and Computer vs. Computer communications, especially discussing about the Internet protocol.
4:Encoding and Decoding
number system and character encoding/decoding.
5:Information Theory
bit, Byte and computing scale.
6:IP Address
the role of IP address in the Internet.
7:Computer Architecture
especially the role of CPU and the arithmetic adder based on logic gates.
8:Data Processing
descriptive statistics, sorting algorithm and search algorithm.
9:Data Processing
database
10:Search Engine
databased oriented search engine.
11:Grammar
understanding the language structure (grammar).
12:Grammar(2)
understanding small programming.
13:Artificial Intelligence
how to transfer human knowledge into machine.
14:Artificial Intelligence(2)
how to understand natural language processing.
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 special work will be assigned to you. However you need to finish all the homework assigned in the class. 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
To pass the study quality and to get the grade, you need attend the whole classes and submit all the homeworks. The quality of the last homework will dominate 80% of the score and the 20% of the score depends on homeworks issued on every classes. You need get more than 60 points for the total 100 points to pass this 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
My career introduction. I have been designing, implementing automatic programming and teaching human knowledge into computer, especially in natural language.