IGESS (Institute for Global Economics and Social Sciences)

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HUI411KA-CS-322(人間情報学 / Human informatics 400)
Ubiquitous Computing

Ma JIANHUA

Class code etc
Faculty/Graduate school IGESS (Institute for Global Economics and Social Sciences)
Attached documents
Year 2021
Class code J0437
Previous Class code
Previous Class title
Term 春学期授業/Spring
Day/Period
Class Type
Campus 小金井 / Koganei
Classroom name
Grade
Credit(s) 2
Notes
Open Program
Open Program (Notes)
Global Open Program
Interdepartmental class taking system for Academic Achievers
Interdepartmental class taking system for Academic Achievers (Notes)
Class taught by instructors with practical experience
SDGs CP
Urban Design CP
Diversity CP
Learning for the Future CP
Carbon Neutral CP
Chiyoda Campus Consortium
Category General Education Courses/総合教育科目
Global Open Program/グローバルオープン科目
Faculty Sponsored Department Computer and Information Sciences

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Outline and objectives

This course covers ubiquitous computers, devices, networks, applications and key technologies in ubiquitous systems and services.

Goal

This course attempts to provide a unified overview of the broad field of ubiquitous computing. Students are expected to understand ubiquitous devices, networks and systems, as well as key technologies including context-awareness, smart u-things, IoT, security, privacy, etc.

Default language used in class

英語 / English

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, 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. 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.

Active learning in class (Group discussion, Debate.etc.)

なし / No

Fieldwork in class

なし / No

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:Introduction to Ubiquitous Computing

What is ubiquitous computing? History & features of ubiquitous computing related visions & technologies

2:Introduction to Ubiquitous Computers, Networks and Services

Various ubiquitous computers devices, pervasive networks and smart services

3:RFID Technologies and Applications

RFID categories, working mechanisms, standards, technologies, systems and applications

4:Sensors and Sensor Networks

Various sensors, their features, interconnections and applications

5:Handheld Devices, Wearables and Robots

Handheld devices, wearable devices, and robots in Ubicomp

6:Context and Context-Aware Computing

Context classifications,
features and models, and context-aware computing

7:Context-Aware Technologies, Systems and Applications

Architectures of context-aware systems, and context-aware
applications

8:Smart u-Things and Ubiquitous Intelligence

Classifications of smart things, and their techniques and intelligence

9:Internet/Web of Things

Characteristics of IoT/WoT, their typical applications, and technical challenges

10:Security, Safety and Trust in Ubiquitous Computing

Features and technologies of ubiquitous security, safety and trust

11:Social Issues in Ubiquitous Computing

Privacy, green/eco, and social issues in Ubicomp

12:Ubiquitous Activity Recognition

Activity categories of human and animal, data collection using ubiquitous devices, activity recognition algorithms and applications

13:Ubiquitous Emotion Recognition

Affective computing, sentiment analysis, vital sign sensors, emotion recognition

14:Emerging Ubiquitous Technologies

New ubiquitous technologies and applications

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。

Textbooks

Online course materials provided by this teacher.

References

・Stefan Poslad, Ubiquitous Computing: Smart Devices, Environments and Interactions, Wiley, ISBN: 978-0-470-03560-3, 2009.
・Q. Li and T.K. Shih, Ubiquitous Multimedia Computing, Chapman & Hall/CRC, ISBN: 978-1-4200-9338-4, 2010.
・Related materials on the Internet

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%)

Changes following student comments

Provide more representative ubiquitous research.