Module Number

INFO-4181
Module Title

Pattern Recognition and Machine Learning
Lecture Type(s)

Lecture
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 Irregular
Language of instruction German and English
Type of Exam

To be announced.

Content

The module covers the first chapters of the textbook by Ch. Bishop mentioned below: Introduction to Machine Learning, probability distributions, linear models for regression, linear models for classification, neural networks (short), kernel methods, mixture models and EM algorithms.

Objectives

Students acquire knowledge about machine learning on a modern statistical basis. They know mathematical-statistical approaches for solving pattern recognition problems and can apply them in exercises.

Allocation of credits / grading
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%)
Lecture
V
o
2
4.0
wt
90
g
100
Tutorial
Ü
o
2
2.0
Prerequisite for participation There are no specific prerequisites.
Lecturer / Other Zell
Literature

Ch. Bishop: Pattern Recognition and Machine Learning, Springer-Verlag;
Skript in englischer Sprache

Last offered unknown
Planned for currently not planned
Assigned Study Areas INFO-INFO, INFO-PRAK, MEDI-APPL, MEDI-INFO, MEDI-MEDI, MEDI-VIS, ML-CS