Module Number

INFO-4492 		Module Title

Special Topics in Learning Theory 		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 Irregular
Language of instruction German and English
Type of Exam

Written exam (in case of a small number of participants: oral tests)
Content

In this module we discuss advanced results and approaches in learning theory
and current research results in the area of machine learning in general.
Objectives

Students get to know about advanced results in learning theory. They can judge
whether an algorithm is well designed, both from an algorithmic and statistical
point of view. They understand about the fundamental limitations of machine
learning. They can reflect current research questions. After this module they
are well-prepared to write a master thesis in the area of learning theory.
Allocation of credits / grading
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%)
Lecture
V
o
2
3.0
wt
90
g
100
Tutorial
Ü
o
2
3.0
Prerequisite for participation There are no specific prerequisites.
Lecturer / Other von Luxburg
Literature

will be announced in the lecture
Last offered -
Planned for -
Assigned Study Areas INFO-INFO, INFO-THEO, MEDI-APPL, MEDI-INFO, ML-CS, ML-DIV