Module Number ML4101 
Module Title Mathematics for 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 winter semester  
Language of instruction  English  
Type of Exam  Written exam (in case of a small number of participants: oral tests) 

Content  The lecture will repeat and introduce basic notions of mathematics used in machine learning 

Objectives  Students learn the mathematical foundations for the latter machine learning courses. In particular, 

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 
INFM1010 Mathematics for Computer Science 1: Analysis, INFM1020 Mathematics for Computer Science 2: Linear Algebra, INFM2010 Mathematics for Computer Science 3: Advanced Topics 

Lecturer / Other  Hein, PonsMoll, von Luxburg  
Literature  The literature for this lecture will be provided at the beginning of the semester. 

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