Module Number

BIOINF4383 (entspricht BIO-4383) 		Module Title

Advanced Topics in Machine Learning for Single Cell Biology 		Lecture Type(s)

Seminar
ECTS 3
Work load
- Contact time
- Self study
Workload:
90 h
Class time:
30 h / 2 SWS
Self study:
60 h
Duration 1 Semester
Frequency In the summer semester
Language of instruction English
Type of Exam

Presentation (about 30 minutes) and written elaboration (approx. 10 pages), leading the discussion once
Content

This seminar builds on the lecture 'Machine Learning for Single Cell Biology' (BIO-4382) and discusses current scientific publications on machine learning method development and application for basic science and translational single-cell biology studies.

In the summer term 2025, the seminar "Machine Learning in Translational Single-Cell Biology" will be offered.
Objectives

(1) Reading and comprehension of state-of-the-art publications in the field Machine Learning for Single Cell Biology
(2) Presentation of publications
(3) Discussion of study results
(4) Deepening of Unsupervised/Supervised/Weakly-supervised and dynamic system machine learning models in single-cell biology
Allocation of credits / grading
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%)
Prerequisite for participation There are no specific prerequisites.
Lecturer / Other Claassen
Literature

Teilnahmevoraussetzungen: BIO-4382 oder vergleichbare Veranstaltung /
Course prerequisites: BIO-4382 or equivalent course
Last offered unknown
Planned for Sommersemester 2025
Assigned Study Areas BIO-BIO, BIO-SEM, INFO-INFO, MEDI-APPL, MEDI-INFO, MEDZ-SEM, ML-CS, ML-DIV