Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Spring Semester
Year 2024 331180 Interactivity in Smart City 1 3.0 3 ★ Sheng Ming Wang GIMD
IDI
DID 0 0 1週【停開】

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2024	331180	Interactivity in Smart City	1	3.0	3	★	Sheng Ming Wang	GIMD IDI DID	0	0	1週【停開】

Course Plan：

Instructor Sheng Ming Wang　Office Hours

Email ryan5885@gmail.com

Last Updated 2023-12-11 16:46:37

Course Objective The main theme of the course is theories, methods, technologies, and case studies for the development of future smart interactive cities where humans and proactive, reactive, autonomous, and social platforms communicate and cooperate to reach goals. The student will acquire knowledge about main research themes and experimental practices in the field of smart interactive cities as well as develop her/his skills in constructing smart interactive cities. Different paradigms will be introduced and discussed, primarily from an interaction and design perspective such as ubiquitous computing, ambient intelligence, augmented and virtual reality, intelligent and adaptive user interfaces, tangible interfaces, persuasive technology, decision-support systems, Internet of Things, smart homes, social norms, and spatial awareness. Different societal challenges will also be addressed through cross-disciplinary collaboration in student projects. The course is divided into theoretical parts and practical parts. Course topic response reports, a midterm project proposal report, and a 4000 words final project report should be submitted in this course.

Course Schedule Unit One: Image of the City (Kevin Lynch) Unit Two: A Pattern language (Christopher Alexander, Sara Ishikawa, Murray Silverstein) Unit Three: Form follow Function or Function follow Form? Unit Four: What is a Smart City? How "Smart" a city can be? Unit Five: Space Syntax Analysis of a City. Unit Six: Human-Centered City with Human Behavior Observation. Unit Seven: City with Sensors and Network Technology. Unit Eight: City with Big Data and Computing Technology. Unit Nine: City Intelligence for planning, management, and decision making.

Evaluation and grading policy 1. Attend all class sessions. (10%) 2. Actively engage in class discussions. 3. Submit a written assignment: During the semester, you are responsible for writing four 500-750 word reflection that responds to the course section topics and presentation. You must include an analysis of the topic (not simply summarizing the talk), including questions you may have or future areas of research that you would like to be involved with. (30%) 4. Design and complete an independent research project throughout the semester, such as providing a detailed case study of a smart city; conducting informational interviews with a smart city practitioner or researcher; or producing a literature review exploring aspects of the smart city. Prepare a midterm paper describing your research topic and proposal. (20%) 5. Write a 4,000-word paper (in Chinese or English,15 pages, double-spaced) and give a brief presentation about your research project to the class. (40%)

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
TBA

The access to curricular consultation 1. Use the course social platform for a quick consultation.
2. Send an email for a setup time slot for consultation during or not during the announced office hours. email: ryan5885@mail.ntut.edu.tw

The course corresponds to the SDGs

Note
Once the lecture needs to go online, lecture materials/assignments/course works will use google classroom as the interactive platform.

Instructor	Sheng Ming Wang　Office Hours
Email	ryan5885@gmail.com
Last Updated	2023-12-11 16:46:37
Course Objective	The main theme of the course is theories, methods, technologies, and case studies for the development of future smart interactive cities where humans and proactive, reactive, autonomous, and social platforms communicate and cooperate to reach goals. The student will acquire knowledge about main research themes and experimental practices in the field of smart interactive cities as well as develop her/his skills in constructing smart interactive cities. Different paradigms will be introduced and discussed, primarily from an interaction and design perspective such as ubiquitous computing, ambient intelligence, augmented and virtual reality, intelligent and adaptive user interfaces, tangible interfaces, persuasive technology, decision-support systems, Internet of Things, smart homes, social norms, and spatial awareness. Different societal challenges will also be addressed through cross-disciplinary collaboration in student projects. The course is divided into theoretical parts and practical parts. Course topic response reports, a midterm project proposal report, and a 4000 words final project report should be submitted in this course.
Course Schedule	Unit One: Image of the City (Kevin Lynch) Unit Two: A Pattern language (Christopher Alexander, Sara Ishikawa, Murray Silverstein) Unit Three: Form follow Function or Function follow Form? Unit Four: What is a Smart City? How "Smart" a city can be? Unit Five: Space Syntax Analysis of a City. Unit Six: Human-Centered City with Human Behavior Observation. Unit Seven: City with Sensors and Network Technology. Unit Eight: City with Big Data and Computing Technology. Unit Nine: City Intelligence for planning, management, and decision making.
Evaluation and grading policy	1. Attend all class sessions. (10%) 2. Actively engage in class discussions. 3. Submit a written assignment: During the semester, you are responsible for writing four 500-750 word reflection that responds to the course section topics and presentation. You must include an analysis of the topic (not simply summarizing the talk), including questions you may have or future areas of research that you would like to be involved with. (30%) 4. Design and complete an independent research project throughout the semester, such as providing a detailed case study of a smart city; conducting informational interviews with a smart city practitioner or researcher; or producing a literature review exploring aspects of the smart city. Prepare a midterm paper describing your research topic and proposal. (20%) 5. Write a 4,000-word paper (in Chinese or English,15 pages, double-spaced) and give a brief presentation about your research project to the class. (40%)
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes TBA
The access to curricular consultation	1. Use the course social platform for a quick consultation. 2. Send an email for a setup time slot for consultation during or not during the announced office hours. email: ryan5885@mail.ntut.edu.tw
The course corresponds to the SDGs
Note	Once the lecture needs to go online, lecture materials/assignments/course works will use google classroom as the interactive platform.