Studienhandbuch | Probability Theory and Mathematical Statistics

Inhalt

Workload	Mode of examination	Education level	Study areas	Responsible person	Coordinating university
0-15 ECTS	Structure	M1 - Master's programme 1. year	Mathematics	Evelyn Buckwar	Johannes Kepler University Linz

Detailed information
Original study plan	Master's programme Industrial Mathematics 2022W
Objectives	This subject covers mathematical notions and methods from the areas of stochastic analysis and mathematical statistics. An emphasis is put on the theory and modeling of random systems using discrete and continuous stochastic processes, simulation methods for such systems, as well as the theory and application of mathematical statistics.
Subject	The contents of this subject results from the contents of the individual courses.

Subordinated subjects, modules and lectures
VL Statistical Methods
VL Stochastic Differential Equations
VL Stochastic Differential Equations 2
UE Queueing theory
VL Queueing theory
UE Markov Chains
VL Markov Chains
VL Special Topics Probability Theory and Mathematical Statistics (1.5 ECTS)
UE Special Topics Probability Theory and Mathematical Statistics
VL Special Topics Probability Theory and Mathematical Statistics
UE Statistical Methods
UE Stochastic Differential Equations
UE Stochastic Simulation
VL Stochastic Simulation
UE Reliability Theory
VL Reliability Theory