Study guide of JKU Linz
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Overview
All curricula
External tools
KUSSS
Auwea NG
Positionsanzeige
Electronics and Information Technology
»
Electives
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ELIT Complementation
Inhalt
[
489WKAI22
] Subject Artificial Intelligence
Versionsauswahl
Version
2025W
2022W
Workload
Mode of examination
Education level
Study areas
Responsible person
Coordinating university
12 ECTS
Structure
M - Master's programme
Computer Science
Johannes Kofler
Johannes Kepler University Linz
Detailed information
Original study plan
Master's programme Electronics and Information Technology 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 Machine Learning: Supervised Techniques
VL Machine Learning: Supervised Techniques
UE Machine Learning: Unsupervised Techniques
VL Machine Learning: Unsupervised Techniques
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