Studienhandbuch | General Electives

Inhalt

[ 921CGEL13 ] Subject General Electives

Es ist eine neuere Version 2021W dieses Fachs/Moduls im Curriculum Master's programme Computer Science 2024W vorhanden.

Workload	Mode of examination	Education level	Study areas	Responsible person	Coordinating university
0-27 ECTS	Structure	M - Master's programme	Computer Science	Hanspeter Mössenböck	Johannes Kepler University Linz

Detailed information
Original study plan	Master's programme Computer Science 2021S
Objectives	By selecting courses from this category, students can deepen and broaden their knowledge and skills in computer science set a specific focus in their studies
Subject	The contents of this subject result from the contents of the selected courses.
Further information	The General Electives are regularly offered courses (at least every 2 years) that are explicitly described in the study handbook.

Subordinated subjects, modules and lectures
UE Machine Learning: Unsupervised Techniques
VL Machine Learning: Unsupervised Techniques
KV Natural Language Processing
UE Reinforcement Learning
VL Reinforcement Learning
UE Visual Analytics
UE Deep Learning and Neural Nets I
VL Deep Learning and Neural Nets I
UE Explainable AI
VL Explainable AI
UE Symbolic AI
VL Symbolic AI
UE Theoretical Concepts of Machine Learning
VL Theoretical Concepts of Machine Learning
UE Sequence Analysis and Phylogenetics
VL Sequence Analysis and Phylogenetics
KV Advanced Compiler Construction
KV Advanced Model Engineering
KV Application Oriented Knowledge Processing
KV Assistive Technologies and Accessibility
VL Biometric Identification
KV Cloud Security
UE Computer Algebra for Concrete Mathematics
KV Conceptual Data Modeling
KV Cooperative Information Systems
KV Debugging
KV Digital Image Processing
KV Emerging Computer Technologies
KV Engineering of Software-intensive Systems
PR Hardware-oriented Work on PCs
VL Human/Computer Interaction
VL Information Displays
KV Information Visualization
KV Mobile Computing
KV Modeling and Computer Simulation
KV Modeling Internet Applications
UE Probabilistic Models
KV Product Line Engineering
KV SAT Solving
KV Semantic Data Modeling and Applications
KV Security in Application Protocols
KV Statistics 2
KV VLSI Design
KV Web Engineering
KV Web Performance
KV Web Search and Mining
KV Wireless LANs
UE Computational Geometry
VL Computational Geometry
UE Computer Algebra
VL Computer Algebra
VL Formal Semantics of Programming Languages
VL Rewriting in Computer Science and Logic
KV Web Security
KV Advanced Regression Analysis
KV Web Usability
KS Social and gender IT aspects
VL Ethics and Gender Studies
KV Gender Studies Managing Equality TN
KV Multivariate Statistics
KV Generalized linear models