Studienhandbuch | Mathematics

Inhalt

Workload	Mode of examination	Education level	Study areas	Responsible person	Coordinating university
	Structure	M1 - Master's programme 1. year	Mathematics	Sepp Hochreiter	Johannes Kepler University Linz

Detailed information

Original study plan

Master's programme Artificial Intelligence 2025W

Learning Outcomes

Competences
These result from the subordinate elements

Skills	Knowledge
These result from the subordinate elements	These result from the subordinate elements

Subordinated subjects, modules and lectures
VL Automated Reasoning
VL Discrete Mathematics
VL Mathematical Logic
VL Symbolic Summation and Integration
VL Inverse problems
VL Stochastic Processes
UE Computer Algebra for Concrete Mathematics
VL Computer Algebra for Concrete Mathematics
KV Probability Theory and Stochastic Processes
UE Mathematics 3
VL Mathematics 3
KV Numerical Analysis and Optimization
VL Algorithmic Combinatorics
UE Classical harmonic analysis
VL Classical harmonic analysis
UE Computer Algebra
VL Computer Algebra
UE Discrete Mathematics
VL Formal Modelling
UE Functional Analysis
VL Functional Analysis
UE Manyvalued Logic
VL Manyvalued Logic
UE Markov Chains
VL Markov Chains
UE Mathematical logic
VL Mathematical models in engineering
UE Numerical methods for differential equations
VL Numerical methods for differential equations
UE Optimization
VL Optimization
VL Special Topics Functional analysis (1,5 ECTS)
VL Special Topics Functional analysis
VL Special Topics Mathematical Methods in Medicine and Data-Based Modelling
VL Special Topics Mathematical Methods in Medicine and Data-Based Modelling (1,5 ECTS)
VL Special Topics Numerical Analysis
VL Special Topics Optimization
VL Special Topics symbolic computation
VL Special Topics Probability Theory and Mathematical Statistics (1.5 ECTS)
VL Special Topics Probability Theory and Mathematical Statistics
UE Stochastic Processes
UE Stochastic Simulation
VL Stochastic Simulation
VL Knowledge and Data Based Modelling