Course Syllabus

Course Information：

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2025	350096	Research Topics in Smart Living Technologies	1	3.0	3	★	CHEN WEN-HUI	GAT	12	0

Course Plan：

Instructor	CHEN WEN-HUI　Office Hours
Email	whchen@ntut.edu.tw
Last Updated	2025-05-31 00:08:29
Course Objective	The goal of this course is to provide students with topics related to smart living technologies. In this course, we will take an interdisciplinary look at smart living topics, including ubiquitous computing and self-driving by reading and discussing recent literature to expand our vision in the future. Some parts of the course will be co-taught by a doctoral teaching assistant, providing additional support and insights into advanced topics.
Course Schedule	Week1. Course Introduction and Student Background Survey Week2-3. Smart Technology Week4-5: Smart Environments Week6-7: Ubiquitous Computing Week8-9: Midterm Presentation Week10-11: Activity Recognition Week12-13: Autonomous Driving Week14-15. AI for Autonomous Vehicles Week16. Business Visit (Living 3.0) Week17-18. Project Presentations
Evaluation and grading policy	1. Participation and Assignments: 50% 2. Presentation 50%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No Lecture Notes & Selected Readings Contact the class lecturer via email: whchen@ntut.edu.tw
The access to curricular consultation	Room #605, Complex Building Tue. 9:00 a.m. -12:00 Wed. 9:00 a.m. -12:00
Expanding teaching and resources
The course corresponds to the SDGs	SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure） SDG11：永續城市與社區（Sustainable Cities and Communities）
Does the course incorporate AI	● 無（None）
Note