Course Information for Fall Semester, 2026
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 five AI programs. If students pass courses required for the program, students can receive certificate issued by Ministry of Education.
I. Course Information
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Course Title |
Course Information |
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Data mining: concepts, techniques, & applications Course Difficulty: ★★★★★★★ |
1. Course-offering university instructor: National Tsing Hua University, Prof. Yi-Shin Chen 2. TMU instructor: Prof. Tzu-Hao Chang 3. Credit: 3 4. Course type/language: Mirror course/Course Delivered in English 5. Course level: Graduate level & Third-grader (or above) undergraduate students 6. Capacity: 100 7. Time: 9:00~12:00 (Mon.) (asynchronous learning accepted) 8. Corresponding program: Artificial Intelligence in Industrial Applications Program (Data mining & application) Artificial Intelligence for Natural Language Technology Program (Data mining & application) |
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Statistics with recitation Course Difficulty: ★★★ |
1. Course-offering university instructor: National Taiwan University, Prof. Chung-Ying Lee 2. TMU instructor: Prof. Jin-Hua Chen 3. Credit: 3 4. Course type/language: Satellite course/ Course Delivered in English 5. Course level: Undergraduate level 6. Capacity: 50 7. Time: 9:10~12:00 (Wed.)(Lecture) (asynchronous learning accepted) 13:20~15:10(Tue.) (optional recitation session) 8. Corresponding program: Artificial Intelligence in Industrial Applications Program (Statistics) |
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Physical AI Course Difficulty: ★★ |
1. Course-offering university instructor: National Yang Ming Chiao Tung University, Prof. Yi-Ting Chen 2. TMU instructor: Prof. Hung-Wen Chiu 3. Credit: 3 4. Course type/language: Satellite course/ Course Delivered in English 5. Course level: Graduate level & Fourth-grader (undergraduate students 6. Capacity: 100 7. Time: 13:20~16:20(Tue.) (asynchronous learning accepted) 8. Corresponding program: Artificial Intelligence in Industrial Applications Program (Special topics on robots) Artificial Intelligence for Computer Vision and Imaging Technology Program (Applied artificial intelligence imaging) |
II. Course Selection Schedule: September 7 (Mon), 12:10 PM – September 16 (Wed), 1:00 PM
III. On-site synchronous exam time. Please reserve your time for the examination.
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Course Title |
Time |
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Data mining: concepts, techniques, & applications |
Final exam: Dec. 14th (Mon.) |
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Statistics with recitation |
Mid-term exam: Oct. 28 (Wed.) 9:30~12:00 Final exam: Dec. 16(Wed.) 9:30~12:00 |
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Physical AI |
Final project demo: Dec. 22(Tue.) |
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. TAICA course credits will be counted toward your total credits of current semester.
3. Extension student will not be charged credit fees for TAICA course.
V. Course Withdrawal Procedure: Course withdrawal time and procedure will later be announced by TAICA.
VI. Program Information
Course opened for each program:
- Applied Artificial Intelligence Exploration Program
- Artificial Intelligence in Industrial Applications Program
- Artificial Intelligence for Natural Language Technology Program
- Artificial Intelligence for Computer Vision and Imaging Technology Program
- Artificial Intelligence for Cybersecurity Technology Program
Other Requirements:
1. 15 credits are required for each program.
2. At most 6 credits can be transferred or waived among TAICA programs.
3. To receive program certificate issued by Ministry of Education, students must take at least 8 credits of leading, mirror or satellite courses.
VII. NTU COOL Platform Guide: