情報科学部Faculty of Computer and Information Sciences
HUI411KA-CS-322(人間情報学 / Human informatics 400)ユビキタスコンピューティングUbiquitous Computing
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 | 2022 |
授業コードClass code | J0547 |
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 | 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 | |
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) |
(1) 受講希望者 (受講検討中の者も含む) は、情報科学部学部Googleフォーム(https://forms.gle/ECvwxVe2NcxmrbTK9)で初回講義前までに希望申請をしてください。(※以下URLのご案内があるGoogleフォームとは異なるのでご注意ください。) (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同時に履修削除を行ってください。 |
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~) | |
カテゴリー(2021年度以前入学者)Category (~2021) | |
カテゴリーCategory |
専門教育科目 専門科目 |
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Outline (in English)
The course consists of four parts, ubiquitous devices, ubiquitous networks, ubiquitous technologies, and ubiquitous applications in IoT, smart things and daily life assistance. The students are expected to have a comprehensive understanding on various aspects in ubiquitous computing.
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 systems and services. Students are expected to learn a systematic knowledge on ubiquitous computing as well as various ubiquitous applications
到達目標Goal
This course attempts to provide a unified overview of the broad field of ubiquitous computing. Students are expected to understand ubiquitous devices from RFID, sensors, wearables, various ubiquitous networks, as well as key technologies including context-awareness, smart u-things, IoT, security, privacy, 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?
ディプロマポリシーのうち「DP4-3」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 devices including RFID, e-tag, sensors, handhelds, wearable devices, robots, IoT, etc. as well as their typical applications. The context as a special kind of information in ubiquitous computing will be described in details and related context-aware computing 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. All questions will be answered and feedback promptly in class or after 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.)
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[オンライン/online]:Introduction to Ubiquitous Computing
What is ubiquitous computing? History & features of ubiquitous computing related visions & technologies
2[未定/undecided]:Introduction to Ubiquitous Computers, Networks and Services
Various ubiquitous computers devices, pervasive networks and smart services
3[未定/undecided]:RFID Technologies and Applications
RFID categories, working mechanisms, standards, technologies, systems and applications
4[未定/undecided]:Sensors and Sensor Networks
Various sensors, their features, interconnections and applications
5[未定/undecided]:Handheld Devices, Wearables and Robots
Handheld devices, wearable devices, and robots in Ubicomp
6[未定/undecided]:Context and Context-Aware Computing
Context classifications, features and models, and context-aware computing
7[未定/undecided]:Context-Aware Technologies, Systems and Applications
Architectures of context-aware systems, and context-aware
applications
8[未定/undecided]:Smart u-Things and Ubiquitous Intelligence
Classifications of smart things, and their techniques and intelligence
9[未定/undecided]:Internet of Things (IoT)
Characteristics of IoT, their system models, typical applications, and technical challenges
10[未定/undecided]:Security, Safety and Trust in Ubiquitous Computing
Features and technologies of ubiquitous security, safety and trust
11[未定/undecided]:Social Issues in Ubiquitous Computing
Privacy, green/eco, social issues and ethic problems in ubiquitous computing
12[未定/undecided]:Ubiquitous Activity Recognition
Activity categories of human and animal, data collection using ubiquitous devices, activity recognition algorithms and applications
13[未定/undecided]:Ubiquitous Emotion Recognition
Affective computing, sentiment analysis, vital sign sensors, emotion recognition
14[対面/face to face]:Emerging Ubiquitous Technologies
New ubiquitous 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. 本授業の準備・復習時間は、計4時間を標準とします。
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
毎回のミニレポート(20%),4回のテーマごとのレポート(40%), テスト(40%)
学生の意見等からの気づきChanges following student comments
Provide more representative ubiquitous research.