情報科学部Faculty of Computer and Information Sciences
HUI311KA-CS-322（人間情報学 / Human informatics 300）ユビキタスインテリジェンスUbiquitous Intelligence
馬 建華Ma JIANHUA
授業コードなどClass code etc
| 学部・研究科Faculty/Graduate school | 情報科学部Faculty of Computer and Information Sciences |
| 添付ファイル名Attached documents | |
| 年度Year | 2024 |
| 授業コードClass code | J0547 |
| 旧授業コードPrevious Class code | |
| 旧科目名Previous Class title | ユビキタスコンピューティング |
| 開講時期Term | 秋学期授業/Fall |
| 曜日・時限Day/Period | 水5/Wed.5 |
| 科目種別Class Type | |
| キャンパスCampus | 小金井 / Koganei |
| 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 | 3～4 |
| 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) |
【（情報科学部所属以外の学生向け）「成績優秀者の他学部科目履修制度」の履修登録の流れ】 （１） 受講希望者 (受講検討中の者も含む) は、初回の授業までに「申請フォーム（https://forms.gle/ECvwxVe2NcxmrbTK9）」から履修したい科目を申請してください。 （２） 以下のURLと教育開発支援機構事務局の案内に従って、履修希望の申請を行ってください。 https://www.hoseikyoiku.jp/risyu/index.html （３） 履修取消については、ご自身の所属学部の履修取消期間内に必ず履修取消を行ってください。 【「成績優秀者の他学部科目履修制度」の履修年次】 「配当年次」欄と同じです。 |
| 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（2022年度以降入学者）Category (2022~) |
専門教育科目 専門科目 コース専門科目 |
| カテゴリー（2021年度以前入学者）Category (~2021) | |
| カテゴリーCategory |
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Outline (in English)
The course consists of four parts, ubiquitous smart devices, networks, technologies, and applications in IoT, physical objects and daily life assistance. The students are expected to have a comprehensive understanding on various aspects in ubiquitous intelligent computing. Students will be expected to spend four hours to preview the lecture notes and review the content learnt and complete assignment in each class according to grading policy. Overall evaluation (100%) will be based on online reports (15%), four reports about ubiquitous intelligent technologies (40%), and term exam (45%).
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 course covers ubiquitous computers, devices, networks, applications and key technologies in ubiquitous intelligent systems and services. Students are expected to learn a systematic knowledge on ubiquitous intelligence as well as various content-aware smart computing.
到達目標Goal
This course attempts to provide a unified overview of the broad field of ubiquitous intelligent computing. Students are expected to understand ubiquitous smart devices from RFID, sensors, wearables, various networks, as well as key intelligent technologies including context-awareness, smart u-things, IoT, security, privacy, social issues, etc.
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?
情報科学部ディプロマポリシーのうち「DP4-1」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 course will first give general introductions of ubiquitous computing, essential devices, important networks and representative services, and then check various ubiquitous intelligent devices including RFID, e-tag, sensors, handhelds, wearable devices, robots, IoT, etc. as well as their representative applications. The context as a special kind of information in ubiquitous intelligence will be described in details and related context-aware intelligent technologies, systems and application will be presented. Various key issues in ubiquitous computing smartness, intelligence, security, safety, trust and related social issues will be discussed. In each class, a student is requested to write a summary of main content learnt in the the class. Students are also requested to write four reports corresponding to the four parts of this course. Students are encouraged to ask questions in class and via email after class. The students' reports will be checked and feedbacked to students in next classes.
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。
1[対面/face to face]：Introduction to Ubiquitous Computing and Intelligence
History & features of ubiquitous computing (ubicomp), and ubiquitous intelligence
2[対面/face to face]：Intelligent Ubicomp Devices, Networks and Services
Various ubiquitous computing and intelligent devices, networks and services
3[対面/face to face]：RFID Technologies and Intelligent Applications
RFID categories, working mechanisms, standards, technologies, systems and intelligent applications
4[オンライン/online]：Ubiquitous Sensors and Sensing Networks
Various sensors, their features, interconnections and intelligent technologies
5[対面/face to face]：Intelligent Handhelds, Wearables and Robots
Handheld devices, wearable devices, and robots in ubicomp
6[対面/face to face]：Context and Context-Aware Computing and Intelligence
Context classifications, features and models, and context-aware intelligent computing
7[オンライン/online]：Context-Aware Technologies, Systems and Applications
Architectures of context-aware systems, and context-aware smart
applications
8[対面/face to face]：Smart Things for Ubiquitous Intelligence
Classifications of smart things, and their intelligent techniques and applications
9[対面/face to face]：Smart Internet of Things (IoT)
Characteristics of IoT, their system models, typical applications, and technical challenges
10[対面/face to face]：Security, Safety and Trust in Ubiquitous Systems
Features and technologies of ubiquitous security, safety and trust
11[オンライン/online]：Social Issues in Ubiquitous Intelligence
Privacy, green/eco, social issues and ethic problems in ubiquitous intelligent applications
12[対面/face to face]：Ubiquitous Activity Recognition
Activity categories of human and animal, data collection using ubiquitous devices, activity recognition algorithms and applications
13[対面/face to face]：Ubiquitous Emotion Recognition
Affective computing, sentiment analysis, vital sign sensors, emotion recognition
14[対面/face to face]：Emerging Ubiquitous Intelligent Technologies
New intelligent ubicomp technologies and 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.)
Read the corresponding lecture note before each class, review the content after each class, well prepare the requested report after class, and submit each report before its deadline. Students will be expected to spend at least four hours to preview the lecture notes, review the content learnt and complete assignments in each class according to the university grading policy.
テキスト（教科書）Textbooks
Online course materials provided by this teacher.
参考書References
・Related materials on the Internet
成績評価の方法と基準Grading criteria
Overall evaluation (100%) will be based on
- online reports (15%)
- four reports (40%)
- term exam (45%)
学生の意見等からの気づきChanges following student comments
Provide more representative ubiquitous intelligent research.
学生が準備すべき機器他Equipment student needs to prepare
Bring a PC.