Studienhandbuch | Supplementary Subjects

Inhalt

Workload	Mode of examination	Education level	Study areas	Responsible person	Coordinating university
0-9 ECTS	Structure	M - Master's programme	Mathematics	Manuel Kauers	Johannes Kepler University Linz

Detailed information

Original study plan

Master's programme Computational Mathematics 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
UE Digital Signal Processing
VL Digital Signal Processing
UE Reinforcement Learning
VL Reinforcement Learning
UE Deep Learning: Architectures and Generative Techniques
VL Deep Learning: Architectures and Generative Techniques
UE Deep Learning: Basic Techniques
VL Deep Learning: Basic Techniques
UE LSTM & Transformers
VL LSTM & Transformers
UE Machine Learning: Advanced Techniques
VL Machine Learning: Advanced Techniques
UE Planning and Reasoning in Artificial Intelligence
VL Planning and Reasoning in Artificial Intelligence
UE Computer Graphics
VL Computer Graphics
UE Formal Models
VL Formal Models
KV Parallel Computing
UE Quantum Computing
VL Quantum Computing
IK Game Theory
KS Game Theory
PR Numerical Methods in Fluid Mechanics
VL Numerical Methods in Fluid Mechanics
KV Automatic Control
UE Signals and Systems
VL Signals and Systems
KV Biology for Engineers
UE Physical Principles of Mechatronics
VL Physical Principles of Mechatronics
UE Medical Imaging
VL Medical Imaging
UE Theoretical Modelling of Biological Systems
VL Theoretical Modelling of Biological Systems
KV Statistical Principles of Data Science
UE Statistical Physics I
VL Statistical Physics I
UE Theoretical Quantum Mechanics II
VL Theoretical Quantum Mechanics II
KV Computational Statistics
VL Theoretical Quantum Mechanics I
UE Theoretical Quantum Mechanics I
VL Theoretical Thermodynamics
UE Theoretical Thermodynamics