Study guide of JKU Linz
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Overview
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KUSSS
Auwea NG
Positionsanzeige
Artificial Intelligence
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Area of Specialization
Inhalt
[
993SMAT19
] Subject Mathematics
Versionsauswahl
Version
2019W
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 2019W
Objectives
Specialization topics in mathematics.
Subject
The contents of this subject result from the contents of its courses.
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 Knowledge-based Mathematical Systems
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