IGESSIGESS (Institute for Global Economics and Social Sciences)

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.

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.

英語 / English

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.

なし / No

なし / No

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

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.

Online course materials provided by this teacher.

・Related materials on the Internet

Overall evaluation (100%) will be based on
- online reports (15%)
- four reports (40%)
- term exam (45%)

Provide more representative ubiquitous intelligent research.

Bring a PC.