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473877-FS2026-0-AI for Medical Time Series





Root number 473877
Semester FS2026
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:
- Seif Ben Bader
- Eleonora Manzoni
- Vihangkumar Naik
- Martin Varga

Module:
Applications

Prerequisites:
- Linear algebra
- Probability
- Introduction to Digital Signal Processing


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
- 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. Lilian Witthauer, University Clinic for Diabetes, Endocrinology, Clinical Nutrition and Metabolism (UDEM) ✉
Dr. Seif Ben Bader, University Clinic for Diabetes, Endocrinology, Clinical Nutrition and Metabolism (UDEM) ✉
Prof. Dr. José Fernando Garcia Tirado, University Clinic for Diabetes, Endocrinology, Clinical Nutrition and Metabolism (UDEM) ✉
ECTS 3
Recognition as optional course possible Yes
Grading 1 to 6
 
Dates Wednesday 14:15-16:00 Weekly
 
Rooms Seminarraum 115, Hauptgebäude H4
 
Students please consult the detailed view for complete information on dates, rooms and planned podcasts.