New Course Announcement – Offered Once Every Two Years, a Rare Opportunity!
All third-year and above undergraduates, as well as graduate students from our department, are welcome to enroll.

Instructor:
Special Guest Lecturer Dr. Yu Shih (Professor and Chair of the Department of Biostatistics, Vanderbilt University, USA)

Course Title:
"Innovations in Clinical Artificial Intelligence and Precision Medicine" (see syllabus in the attachment)

Course Code/Class/Credit Hours:
R2020 / Department of Statistics / Elective, 1 credit

Enrollment Limit:
70 students

Classroom:
Room 62115, Department of Statistics Building

Class Schedule:

• 1. 12/18/113 (Wednesday) 17:00-21:00 (4 hours)
• 2. 12/19/113 (Thursday) 17:00-21:00 (4 hours)
• 3. 12/20/113 (Friday) 17:00-21:00 (4 hours)
• 4. 12/21/113 (Saturday) 9:00-12:00, 13:00-16:00 (6 hours)
• Total class hours: 18 hours

Course Registration Process:

1. Register via Google form: https://forms.gle/4Dk3ZWVQ7BCra9ox6
2. Registration period: From 2024/09/16 (Monday) to 2024/10/18 (Friday)

Important Notes on Course Enrollment:

1. Students are discouraged from withdrawing after the course starts. If there are special circumstances, please withdraw before the course ends by contacting Assistant Wu at the Department of Statistics office. If withdrawal is requested, a "Withdrawn" note will appear on the transcript.
2. Avoid schedule conflicts with other courses (including courses with intensive sessions). Students with schedule conflicts will not be allowed to enroll. Attendance on the first day requires submitting the course selection form and signing to confirm no schedule conflicts. Students with conflicts will be withdrawn from the course.
3. For students exceeding the credit limit: Undergraduates who have not met the department's credit overload standards must submit a credit overload application form, which must be approved by the Dean before enrolling.
4. This course follows flexible intensive scheduling. All registration, credit fees, and grading policies will adhere to the university’s relevant regulations.