473877-FS2024-0-AI for Medical Time Series





Root number 473877
Semester FS2024
Type of course Lecture
Allocation to subject Artificial Intelligence in Medicine
Type of exam Written exam
Title AI for Medical Time Series
Description Teaching assistants:
- Pinar Göktepe

Module:
Applications

Prerequisites:
- Linear algebra
- Probability

Required material or equipment:
- Laptop or other computer system

Textbook(s):
- Abdulhamit Subasi. Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques. https://doi.org/10.1016/C2018-0-02414-7

Course policies and classroom rules of conduct:
- Academic dishonesty, plagiarism, and any other kind of fraud will lead to the exclusion from the course.
- Attendance required
- Punctuality
- Homework and project must be handed on time
ILIAS-Link (Learning resource for course) Registrations are transmitted from CTS to ILIAS (no admission in ILIAS possible). ILIAS
Link to another web site
Lecturers Prof. Dr. Athina TzovaraInstitute of Computer Science 
ECTS 3
Recognition as optional course possible Yes
Grading 1 to 6
 
Dates Wednesday 14:15-16:00 Weekly
Wednesday 12/6/2024 14:15-15:15
Tuesday 10/9/2024 13:30-15:30
 
Rooms
External rooms ARTORG Center, Murtenstrasse 50, A008
 
Students please consult the detailed view for complete information on dates, rooms and planned podcasts.