Course Information for Spring 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 four AI program. If students pass courses required for the program, students can receive certificate issued by Ministry of Education.
I. Course Information
| Course Title | Course Information |
|
Applying large language models in cybersecurity systems Course Difficulty: ★★★★★★ |
1.University & Instructor: National Taiwan University of Science and Technology, Prof. Jyun-Ruei Lin (TMU assisting teacher: Prof. Yung-Chun, Chang) |
| 2.Credits: 3 | |
| 3.Course type: Mirror course, Prof. Jyun-Ruei Lin is in charge of all assessments and evaluation | |
| 4.Course level: Graduate | |
| 5.Langauge of instruction: English | |
| 6. Course capacity: 100 students | |
| 7. Online class time: Monday 9:20–12:20. The first hour is for online self-study; 10:20–12:20 is the live practice session. Students from partner universities may attend asynchronously: first complete the one-hour online self-study on their own, and then participate in a two-hour online practice session during one of the fixed TA time slots (to be announced later, available Monday to Friday). This practice session is a required component, and all students must participate. |
|
| 8. Asynchronous learning: Accepted | |
| 9.Corresponding prorgram: Applied Artificial Intelligence Exploration Program(Applied AI Course) | |
|
Deep Learning Course Difficulty: ★★★★★★★★★★ |
1.University & Instructor: National Yang Ming Chiao Tung University, Prof. Wen-Hsiao Peng,Yong-Sheng Chen,Ping-Chun Hsieh (TMU assisting teacher: Prof. Tzu-Hao, Chang & Prof. Yu-Wei, Wu) |
| 2.Credits: 3 | |
| 3.Course type: Mirror course, Prof. Wen-Hsiao Peng,Yong-Sheng Chen, and Ping-Chun Hsieh are in charge of all assessments and evaluation | |
| 4.Course level: Graduate (Open to student in senior) | |
| 5.Langauge of instruction: English | |
| 6. Course capacity: 10 students | |
| 7.Online Class Time: Thursday 12:20-15:10, with synchronous final exam on June 4th, 12:20-15:10 | |
| 8. Asynchronous learning: Accepted | |
| 9. Course Requirements: You must have access to GPU equipped with at least 6GB of memory. | |
| 10.Corresponding prorgram: Artificial Intelligence for Comp |
II. Course Selection Schedule: Please refer to the course selection schedule for Spring Semester, 2026 of TMU.
III. On-site synchronous exam time. Please reserve your time for the examination.
| Course Title | Time |
| Deep Learning | Final Exam: June 4th (Thur.) 12:20~15:10 |
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 (To be announced)
VI. Program Information
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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
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: