Studienhandbuch | Machine Learning and Perception

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[ 993MLPE25 ] Subject Machine Learning and Perception

Versionsauswahl

Workload	Mode of examination	Education level	Study areas	Responsible person	Coordinating university
39 ECTS	Accumulative subject examination	M1 - Master's programme 1. year	Computer Science	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
UE AI and Visualization
VL AI and Visualization
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 Deep Learning: Geometric Techniques
VL Deep Learning: Geometric Techniques
KV Deep Reinforcement Learning
UE LSTM & Transformers
VL LSTM & Transformers
UE Machine Learning: Advanced Techniques
VL Machine Learning: Advanced Techniques
UE Computer Vision
VL Computer Vision
UE Probabilistic Models
VL Probabilistic Models