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 2024, 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 |
|
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 / |
|
Last offered | unknown | |
Planned for | Sommersemester 2024 | |
Assigned Study Areas | BIO-BIO, BIO-SEM, INFO-INFO, MEDI-APPL, MEDI-INFO, MEDZ-SEM, ML-CS, ML-DIV |