Module Number

INF3159
Module Title

Selected Topics in Machine Learning
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 Irregular
Language of instruction German
Type of Exam

Presentation and essay

Lecture type(s) Proseminar
Content

Special topics in machine learning, changing annually depending on the topicality of the topics, e.g. artificial neural networks, support vector machines, kernel methods, Gaussian processes, graphical models, Markov processes, kernel applications in chemoinformatics and bioinformatics, evolutionary algorithms.

Objectives

Students learned about specific topics in the field of machine learning.

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 Alle Dozenten
Literature

Hängt von den aktuellen Themen ab und wird zur Verfügung gestellt

Last offered -
Planned for -
Assigned Study Areas INFM1510, MEINFM1510