Course Syllabus

Course Information：

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

Spring Semester
Year 2025 345521 Technology and Innovation Management 1 3.0 3 ★ Chun-Chih Chiu
Po-Hsuan Chen GBM 12 0 　

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2025	345521	Technology and Innovation Management	1	3.0	3	★	Chun-Chih Chiu Po-Hsuan Chen	GBM	12	0

Course Plan：

Instructor Chun-Chih Chiu　Office Hours

Email ccchiuv@ntut.edu.tw

Last Updated 2025-02-13 17:42:14

Course Objective To provide students with a comprehensive understanding of how technology drives innovation in various applications and the tools, methodologies, and frameworks used to manage innovation processes effectively.

Course Schedule Week 13. Methodologies for logistic problems Week 14. Decision support tools for robotic mobile fulfillment systems Week 15. Artificial intelligence for production scheduling problem Week 16. Intelligent Decision-Making in Sustainable and Smart Transportation Week 17. Discussion Week 18. Term Project Presentation

Evaluation and grading policy 1. Assignments and Class Participation (Individual) (35%) 2. Paper Presentation (Group) (35%) 3. Term Project (Group) (30%)

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
Self-made materials.

The access to curricular consultation Office Hours: Wed. 10:00 AM - 16:00 PM. Please schedule a discussion time via email in advance.

The course corresponds to the SDGs SDG11：永續城市與社區（Sustainable Cities and Communities）
SDG12：負責任的消費與生產（Responsible Consumption and Production）

Does the course incorporate AI

Note
　

Instructor	Chun-Chih Chiu　Office Hours
Email	ccchiuv@ntut.edu.tw
Last Updated	2025-02-13 17:42:14
Course Objective	To provide students with a comprehensive understanding of how technology drives innovation in various applications and the tools, methodologies, and frameworks used to manage innovation processes effectively.
Course Schedule	Week 13. Methodologies for logistic problems Week 14. Decision support tools for robotic mobile fulfillment systems Week 15. Artificial intelligence for production scheduling problem Week 16. Intelligent Decision-Making in Sustainable and Smart Transportation Week 17. Discussion Week 18. Term Project Presentation
Evaluation and grading policy	1. Assignments and Class Participation (Individual) (35%) 2. Paper Presentation (Group) (35%) 3. Term Project (Group) (30%)
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Self-made materials.
The access to curricular consultation	Office Hours: Wed. 10:00 AM - 16:00 PM. Please schedule a discussion time via email in advance.
The course corresponds to the SDGs	SDG11：永續城市與社區（Sustainable Cities and Communities） SDG12：負責任的消費與生產（Responsible Consumption and Production）
Does the course incorporate AI
Note