理工学部Faculty of Science and Engineering
PRI100XE（情報学基礎 / Principles of informatics 100）Introduction to Computer Science and Information TechnologyIntroduction to Computer Science and Information Technology
周 金佳、彌冨 仁、内田 薫、鳥飼 弘幸、藤井 章博、黄 潤和、栗田 太郎
授業コードなどClass code etc
| 学部・研究科Faculty/Graduate school | 理工学部Faculty of Science and Engineering |
| 添付ファイル名Attached documents | |
| 年度Year | 2022 |
| 授業コードClass code | H9701 |
| 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 | 火5/Tue.5 |
| 科目種別Class Type | |
| キャンパスCampus | 小金井 |
| 教室名称Classroom name | 各学部・研究科等の時間割等で確認 |
| 配当年次Grade | |
| 単位数Credit(s) | |
| 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＜理工学部＞Category |
応用情報工学科 学科専門科目 |
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Outline (in English)
This class is a part of the group of English based global open classes, which aims at giving students chances of global experience. Students can acquire comprehensive introductory knowledge and insight on the important fields in computer science and information.
After each class, students are expected to spend 1 hour
understanding the course content.
The final grade will be evaluated based on reports (90%), and in-class contribution (10%).
授業で使用する言語Default language used in class
英語 / English
授業の概要と目的（何を学ぶか）Outline and objectives
This class is a part of the group of English based global open classes, which aims at giving students chances of global experience. Students can acquire comprehensive introductory knowledge and insight on the important fields in computer science and information.
到達目標Goal
Students can acquire a clear and comprehensive perspective of R/D issues in the field of computer science and information technology. Students can learn scientific (mathematical, physical) bases of cutting-edge technologies with large practical significance.
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?
ディプロマポリシーのうち、「DP1」と「DP2」と「DP4」に関連
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. ）
This class is taught in an omnibus style by professors Jinjia Zhou, Hitoshi Iyatomi, Akinori Fujii, Runhe Huang, Kaoru Uchida, Torikai, and Dr.Taro Kurita. Each lecturer will have two classes. Topics vary from basic software engineering to advanced AI technology as shown in the class contents below.
The HOPPII online learning system will be used to submit reports and get feedback from lecturers.
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
授業形態/methods of teaching：対面/face to face
※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。
Class day 1[対面/face to face]：Introduction and Multimedia processing
(Jinjia Zhou)
Overview of the topics in the field of computer science and information technology which will be taught in the class.
Class day 2[対面/face to face]：Multimedia processing
(Jinjia Zhou)
ASIC/FPGA architectures for multimedia signal processing and low-power, high-performance, VLSI design for video coding/decoding.
Class day 3[対面/face to face]：Software Engineering 1 (Taro Kurita)
The basic concepts of agile
software development, including manifesto for agile
software development, principles behind the agile
manifesto, and scrum, which is an agile framework.
Class day 4[対面/face to face]：Software Engineering 2
(Taro Kurita)
The basic concepts of user
interface (UI) and user experience (UX), including human
machine interface (HMI), user experience design (UXD),and human centered design (HCD).
Class day 5[対面/face to face]：Image and Intelligent information processing 1
(Hitoshi Iyatomi)
Fundamentals of image processing, image recognition and analysis.
Class day 6[対面/face to face]：Image and Intelligent information processing 2
(Hitoshi Iyatomi)
Computer vision, machine learning, deep learning, text mining and their medical engineering applications.
Class day 7[対面/face to face]：Biomimetic and AI electronic circuits 1
(Hiroyuki Torikai)
Fundamentals of biomimetic electronic circuit
Class day 8[対面/face to face]：Biomimetic and AI electronic circuits 2
(Hiroyuki Torikai)
Fundamentals of AI electronic circuit
Class day 9[対面/face to face]：Pattern recognition 1
(Kaoru Uchida)
Fundamentals of pattern recognition and real world application.
Class day 10[対面/face to face]：Pattern recognition 2
(Kaoru Uchida)
Biometrics and business innovation through computer and information sciences.
Class day 11[対面/face to face]：Ubiquitous systems software and artificial intelligence 1
(Runhe Huang)
Knowledge representation and configuration, knowledge discovery and fusion, human cognitive process modeling.
Class day 12[対面/face to face]：Ubiquitous systems software and artificial intelligence 2
(Runhe Huang)
Brain modeling for Internet machine/robot/system/organism/biomass, self-observation, self-learning, self-organization based self-evolutionary brain model.
Class day 13[対面/face to face]：Computer system design and innovation 1
(Akihiro Fujii)
Fundamentals of computer system design, distributed system design, semantic web.
Class day 14[対面/face to face]：Computer system design and innovation 2
(Akihiro Fujii)
Computer system design and innovation 2
Web-service, collective intelligence and innovative business applications
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.)
【本授業の準備・復習等の授業時間外学習は、4時間を標準とする】
After each class, students are expected to spend 1 hour
understanding the course content.
Submission of the short report is required in each professor's class.
テキスト（教科書）Textbooks
Handouts will be provided at each professor's class.
参考書References
References will be shown in the handouts provided by each professor.
成績評価の方法と基準Grading criteria
Grading will be made based on submitted short papers to each professor (90%), and in-class contribution (10%).
学生の意見等からの気づきChanges following student comments
n/a
その他の重要事項Others
1) Since classes are taught in English, students need to have a certain level of English proficiency. We welcome students who challenge to overcome the language barrier.
2) If the class is offered online, the learning support system will provide information about the change in the online lesson method, lesson plan, and grade evaluation method each time. Please regularly check to see if the instructor has contacted you through the learning support system.