Workload:
180 h
Module Number INF2021 (BIOINFM2021) 
Module Title Mathematics for Computer Science 4: Stochastics (Stochastics) 
Type of Module Compulsory 

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  In the summer semester  
Language of instruction  German  
Type of Exam  Written Test 

Lecture type(s)  Lecture, Tutorial  
Content  Topics include probability spaces, random variables, distributions, Independence, Law of Large Numbers, Central Limit Theorem, Stochastic Processes, Stochastic Models, Sampling, and Estimating & Testing. 

Objectives  Students receive basic knowledge in probability theory and statistics. They are able to describe and analyze simple random phenomena mathematically. They are able to apply basic stochastic methods in computer science (e.g. bioinformatics, randomized algorithms). 

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
1.0


Prerequisite for participation 
INFM1010 Mathematics for Computer Science 1: Analysis, INFM1020 Mathematics for Computer Science 2: Linear Algebra 

Lecturer / Other  Teufl  
Literature  Georgii, H.O.: Stochastik, de Gruyter; Krengel, U.: Einführung in die Wahrscheinlichkeitstheorie und Statistik, Vieweg; Wolff, M., Hauck, P. und Küchlin, W.: Mathematik für Informatik und Bioinformatik, Springer 

Last offered  Sommersemester 2022  
Planned for  Sommersemester 2024  
Assigned Study Areas  BIOINFM, INFM2020, MDZINFM2510, MEINFM3210 