1. Course add/drop is open from June 23 to August 22 from Google Sheet (Add/Drop Link: https://forms.gle/XRs3qMMbPMQqGKu98). Please be aware that these 3 courses start from the first week of September, according to the semester start day of course-offering universities.
2. "Statistics with Recitation" is a 4-credit course, and the others are 3-credit courses. All courses will count toward the total credit for the Fall semester, 2025. No additional tuition will be charged for extended study students.
3. For satellite courses, students will be graded with TMU faculty members as well.
4. For courses with announced synchronous exam time, students must keep the scheduled time free for the exam. If you are unable to comply, please do not enroll in those courses.
|
Course |
Exam Date & Time |
Venue |
|
Statistics with Recitation (Quiz) |
9/23、10/7、10/14、11/11、11/ 13:20~15:10 |
2102 Classroom, Xinyi Campus |
|
Statistics with Recitation (Mid-term, Final Exam) |
10/22(Wed.)Mid-term Exam 12/10(Wed.)Final Exam 9:10~12:10 |
9702 Classroom, Shuangho Campus |
|
Data Mining: Concepts, Techniques, and Applications |
12/8(Mon.) 9:00~12:00 |
To be determined |
|
Course Title |
Course Information |
|
Data Mining : Concepts, Techniques, and Applications 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: Satellite course 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 (No class on Sep 29) 9. Asynchronous Participation Accepted: Yes 10. Synchronous Exam Time: Monday, December 8, 9:00 AM – 12:00 PM 11. Enrollment Restrictions: 12. TMU Co-Instructor: Professor Tzu-Hao Chang 13. Distance learning link: https://www.youtube.com/@NTHU_ISA5810_DataMining |
|
Statistics with Recitation 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 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: Quiz: Sep. 23, Oct. 7, Oct. 14, Nov. 11, Nov. 25, Dec. 2 Mid-term Exam: Oct. 22 Final Exam: Dec. 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. |