Module Number ML4201 
Module Title Statistical Machine Learning 
Lecture Type(s) Lecture, Tutorial 

ECTS  9  
Work load  Contact time  Self study 
Workload:
270 h Class time:
90 h / 6 SWS Self study:
180 h 

Duration  1 Semester  
Frequency  In the summer semester  
Language of instruction  English  
Type of Exam  Written exam (in case of a small number of participants: oral tests) 

Content  The focus of this lecture is on algorithmic and theoretical aspects of statistical 

Objectives  ML 4201 Students get to know the most important classes of statistical machine learning 

Allocation of credits / grading 
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%)
Lecture
V
o
4
6.0
wt
90
g
100
Tutorial
Ü
o
2
3.0


Prerequisite for participation  There are no specific prerequisites.  
Lecturer / Other  Hein, von Luxburg  
Literature  The literature for this lecture will be provided at the beginning of the semester. / Students need to know the contents of the basic math classes, in particular 

Last offered  Sommersemester 2022  
Planned for  Sommersemester 2024  
Assigned Study Areas  INFOINFO, INFOTHEO, MEDIAPPL, MEDIINFO, MLCS, MLDIV, MLFOUND 