Course Syllabus

Course Information：

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

Spring Semester
Year 2026 360351 Research Methodology 1 3.0 3 ★ YANG-LANG CHANG
Huang Yu-Hsien
WEI-HO TSAI AI雙聯專班 11 0 　

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2026	360351	Research Methodology	1	3.0	3	★	YANG-LANG CHANG Huang Yu-Hsien WEI-HO TSAI	AI雙聯專班	11	0

Course Plan：

Instructor YANG-LANG CHANG　Office Hours

Email ylchang@ntut.edu.tw

Last Updated 2026-02-14 01:50:19

Course Objective Graduate students need to integrate information and innovative insights to successfully achieve a MS or PhD degree. The course includes: 1. Characteristics of good researchers. 2. Research planning. 3. Learning method. 4. Innovative thinking. 5. Writing method. 6. Present method. 7. Research design practice

Course Schedule The week schedule is based on the curriculum arrangement of the UTA AI class at EECS college.

Evaluation and grading policy The grading will be evaluated by attendance rate and feedback reports.

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
Self-compiled teaching materials include personalized, and curated resources tailored to specific curriculum needs, and learning objectives.

The access to curricular consultation For course inquiries, please refer to the information provided by the UTA AI class at EECS college.

Expanding teaching and resources ● 無 (None)

The course corresponds to the SDGs SDG3：良好健康和福祉（Good Health and Well-being）
SDG4：優質教育（Quality Education）
SDG7：可負擔的潔淨能源（Affordable and Clean Energy）
SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）

Does the course incorporate AI ● 無（None）

Note
　

Instructor	YANG-LANG CHANG　Office Hours
Email	ylchang@ntut.edu.tw
Last Updated	2026-02-14 01:50:19
Course Objective	Graduate students need to integrate information and innovative insights to successfully achieve a MS or PhD degree. The course includes: 1. Characteristics of good researchers. 2. Research planning. 3. Learning method. 4. Innovative thinking. 5. Writing method. 6. Present method. 7. Research design practice
Course Schedule	The week schedule is based on the curriculum arrangement of the UTA AI class at EECS college.
Evaluation and grading policy	The grading will be evaluated by attendance rate and feedback reports.
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No Self-compiled teaching materials include personalized, and curated resources tailored to specific curriculum needs, and learning objectives.
The access to curricular consultation	For course inquiries, please refer to the information provided by the UTA AI class at EECS college.
Expanding teaching and resources	● 無 (None)
The course corresponds to the SDGs	SDG3：良好健康和福祉（Good Health and Well-being） SDG4：優質教育（Quality Education） SDG7：可負擔的潔淨能源（Affordable and Clean Energy） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
Does the course incorporate AI	● 無（None）
Note