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 358184 Independent Study 2 2.0 6 ★ YIN, CHIN-CHING
FANG-CHIH TIEN
Jay Huang 4IEM3C 5 0 　

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2025	358184	Independent Study	2	2.0	6	★	YIN, CHIN-CHING FANG-CHIH TIEN Jay Huang	4IEM3C	5	0

Course Plan：

Instructor FANG-CHIH TIEN　Office Hours

Email fctien@ntut.edu.tw

Last Updated 2025-09-30 16:22:20

Course Objective 指導學生進行研究專題，以培育其實務的能力，學生必須選定一實務專題，由本系教師指導，在畢業前完成成品製作，且須有書面報告。 Teaching students to do the research work and to write the papers. Before graduation, the students have possessed the ability to do the R/D work. Each student must be through professor's instrution's instructions to select the topics of special project, personal or group work should be completed the project's hardware or software and issued the paper. An announcement has been made by the department, then get the grade and credit.

Course Schedule 1~3 周確認專題主題 -- 4~6 周專題項目展開及分工 7~9 周 proposal 撰寫 10~12 周 Pilot Experiment I 13~15 周 Pilot Experiment II 16~17 周 Pilot Experiment III and evaluation 18 周 Official Proposal

Evaluation and grading policy 專題完整性及成果 50% 專題報告 20% 進度報告 20% 團隊合作 10%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
個人 youtube: https://www.youtube.com/@user-vc3vg4pb2i 包括: 1. Python 程式語言 2. Deep learning using Pytorch 3. Machine vision and Its Applications

The access to curricular consultation 1. 本課將定期舉行 weekly meeting，本學期訂於周四下午 5:10~6:10
2. 另部定期使用 google meeting 做相關事項之討論
3. 建立 line 群組及 google drive 分享磁碟，做為資料溝通之管道

Expanding teaching and resources

The course corresponds to the SDGs 無（None）

Does the course incorporate AI ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）

Note
　

Instructor	FANG-CHIH TIEN　Office Hours
Email	fctien@ntut.edu.tw
Last Updated	2025-09-30 16:22:20
Course Objective	指導學生進行研究專題，以培育其實務的能力，學生必須選定一實務專題，由本系教師指導，在畢業前完成成品製作，且須有書面報告。 Teaching students to do the research work and to write the papers. Before graduation, the students have possessed the ability to do the R/D work. Each student must be through professor's instrution's instructions to select the topics of special project, personal or group work should be completed the project's hardware or software and issued the paper. An announcement has been made by the department, then get the grade and credit.
Course Schedule	1~3 周確認專題主題 -- 4~6 周專題項目展開及分工 7~9 周 proposal 撰寫 10~12 周 Pilot Experiment I 13~15 周 Pilot Experiment II 16~17 周 Pilot Experiment III and evaluation 18 周 Official Proposal
Evaluation and grading policy	專題完整性及成果 50% 專題報告 20% 進度報告 20% 團隊合作 10%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No 個人 youtube: https://www.youtube.com/@user-vc3vg4pb2i 包括: 1. Python 程式語言 2. Deep learning using Pytorch 3. Machine vision and Its Applications
The access to curricular consultation	1. 本課將定期舉行 weekly meeting，本學期訂於周四下午 5:10~6:10 2. 另部定期使用 google meeting 做相關事項之討論 3. 建立 line 群組及 google drive 分享磁碟，做為資料溝通之管道
Expanding teaching and resources
The course corresponds to the SDGs	無（None）
Does the course incorporate AI	● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
Note