Module Number BIOINF4382 (entspricht BIO-4382) |
Module Title Machine Learning for Single Cell Biology |
Lecture Type(s) Lecture, Tutorial |
---|---|---|
ECTS | 6 | |
Work load - Contact time - Self study |
Workload:
180 h Class time:
60 h / 4 SWS Self study:
120 h |
|
Duration | 1 Semester | |
Frequency | In the winter semester | |
Language of instruction | English | |
Type of Exam | Oral Test |
|
Content | Single-cell technologies in conjunction with machine learning approaches are |
|
Objectives | • Overview state-of-the-art single-cell technologies |
|
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 | Programmierkenntnisse Python |
|
Last offered | Wintersemester 2022 | |
Planned for | Wintersemester 2024 | |
Assigned Study Areas | BIO-BIO, INFO-INFO, MEDI-APPL, MEDI-INFO, MEDZ-BIOMED, ML-CS, ML-DIV |