- Office Of Academic Affairs, TAIPEI MEDICAL UNIVERSITY

Course Information for Fall Semester, 2025

To share learning resources of artificial intelligence among universities in Taiwan, Ministry of Education found "Taiwan Artificial Intelligence College Alliance" (TAICA). To help student learn systematically, there are also four AI program. If students pass courses required for the program, students can receive certificate issued by Ministry of Education.

Course Title

Course Information

Data Mining : Concepts, Techniques, and Applications

(Syllabus)

Course Difficulty：★★★

1. Instructor from Offering University: Professor Yi-Hsin Chen, National Tsing Hua University (First day of school: Sep 1)

2. Credits: 3

3. Authorization Method: To be determined

4. Course Level: Graduate / Junior and above

5. Language: English

6. Enrollment Capacity: 100 students

7. Corresponding AI Alliance Program: Artificial Intelligence for Natural Language Technology Program (Data Mining and Applications track)

8. Class Time: Monday, 9:00 AM – 12:00 PM

9. Asynchronous Participation Accepted: Yes

10. Synchronous Exam Time: Monday, December 8, 9:00 AM – 12:00 PM

11. Enrollment Restrictions:
(1) Students are recommended to have taken a Python programming course and possess basic knowledge of probability.
(2) The final project will be developed in groups. Please carefully evaluate the time you can commit before enrolling, to avoid affecting your teammates.

12. TMU Co-Instructor: Professor Tzu-Hao Chang

13. Distance Learning Link: https://www.youtube.com/@NTHU_ISA5810_DataMining

Statistics with Recitation

(Syllabus)

Course Difficulty：★★★

1. Instructor from Offering University: Professor Tsung-Ying Lee, National Taiwan University (First day of school: Sep 1)

2. Credits: 4

3. Authorization Method: Satellite course

4. Course Level: Undergraduate (For master or doctoral students, this course will not be counted toward graduation credits.)

5. Language: English

6. Enrollment Capacity: 50 students

7. Corresponding AI Alliance Program: Artificial Intelligence in Industrial Applications Program (Statistics)

8. Class Time:

Tuesday, 13:20 PM – 15:10 PM (Hands-on Course)

Wednesday, 9:10 AM –12:10 PM (Lecture)

9. Asynchronous Participation Accepted: Yes

10. Synchronous Exam Time: Wednesday, December 10, 9:30 AM – 12:00 PM

11. Enrollment Restrictions:This is an English-medium course. English must be used at all times in class, including for homework, quizzes, exams, and all other course-related work.

We will use NTU COOL to share course materials and announcements. You are expected to check both NTU COOL and your school email daily to stay informed and up to date.

All cell phones and other communication devices should be turned off or silenced during class. Students may be cold-called to answer questions. Active and voluntary participation in discussions is highly encouraged.

12. TMU Co-Instructor：Professor Jin-Hua Chen

13. Distance Learning Link: To be announced.

Generative AI: text & image synthesis principles & practice

(English syllabus to be determined)

Course Difficulty：★★

1. Instructor from Offering University: Professor Yen-Lung Tsai, National Chengchi University (First day of school: Sep 1)

2. Credits: 3

3. Authorization Method: Satellite course

4. Course Level: Undergraduate & Graduate

5. Language: English

6. Enrollment Capacity: 50 students

7. Corresponding AI Alliance Program: Artificial Intelligence for Natural Language Technology Program (Introduction to Generative AI)

8. Class Time: Tuesday, 4:00 PM – 7:00 PM

9. Asynchronous Participation Accepted: Yes

10. Synchronous Exam Time: None

11. Enrollment Restrictions: None

12. TMU Co-Instructor: Professor San-Yuan Wang

13. Distance learning link: https://facebook.com/groups/nccumathonline/

II. Course Selection Schedule

III. On-site synchronous exam time. Please reserve your time for the examination.

Course Title	Synchronous Exam Time	Venue
Statistics with recitation	9:30~12:00, December 10	The venue will be arranged in the computer classroom of Xinyi Campus. If you have courses ahead or behind in Shuangho Campus, please reserve your time for commuting.
Data mining: concepts, techniques, & applications	9:00~12:00, December 8

IV. Reminder

1. For detailed course information, please refer to the course syllabus.

If you have difficulties in learning during the semester, please feel free to consult TMU assisting teachers.

2. Any submission of Google Sheet will be seen as a formal course add/drop application (Link: https://forms.gle/q1C5b6SFCAKFgrhc8 ). If you would like to drop course after serious consideration, please fill out the Google Sheet and submit again.

3. List of students will be put into Academic System after August 22. If the number of students reaches the maximum capacity, course add will not be accepted from September 1 to 5.

4. For the second period (September 1 to 5), if the number of student registered reaches the maximum capacity, the student list will be decided based on the order students registered. If you cannot find this course in your course list in the Academic System, it means you fail to register due to the aforementioned reason. Please add this course on your own from September 8 to 17 in the Academic System if there's still vacancies.

5. If you add courses that are not offering in your level through Google Sheet (e.g. a bachelor level student add "Deep learning") and want to drop this course from Sep 8th to 17th, you have to apply through Special application of course add/drop.

6. TAICA course credits will be counted toward your total credits of current semester. If you apply to add TAICA course but reach the maximum number of credits allowed of current semester, the application will not be accpeted.

7. Extension student will not be charged credit fees for TAICA course.

V. Course Withdrawal Procedure (To be announced)

VI. Program Information