Module Number

INF3658
Module Title

Machine Learning in Bioinformatics (Proseminar)
Type of Module

Elective Compulsory
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 winter semester
Language of instruction German
Type of Exam

Presentation and essay

Lecture type(s) Proseminar
Content

Machine learning plays an important role in bioinformatics and chemoinformatics for data analysis and modeling. Basic machine learning methods, their theoretical foundations, and their practical applications in bioinformatics (e.g., in sequence analysis, protein similarity analysis, drug design, protein-ligand interactions, transcription factor binding site prediction, etc.) are presented. In addition, validation strategies and parameter optimization methods are presented.

Objectives

Machine learning in bioinformatics: In addition to the subject-specific skills of the proseminar, students also learn how to scientifically analyse a topic, prepare a scientific presentation, give a presentation, communicate with an audience, engage in critical scientific discourse and write a scientific paper on their seminar topic.

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
Literature

-

Last offered unknown
Planned for currently not planned
Assigned Study Areas BIOINFM1510, INFM1510, MDZINFM1510, MEINFM1510