Studienhandbuch | Computer and Data Science

Inhalt

[ 993SCDS19 ] Studienfach ^(*)Computer and Data Science

^(*) Leider ist diese Information in Deutsch nicht verfügbar.

Workload	Form der Prüfung	Ausbildungslevel	Studienfachbereich	VerantwortlicheR	Anbietende Uni
	Gliederung	M1 - Master 1. Jahr	Informatik	Sepp Hochreiter	Johannes Kepler Universität Linz

Detailinformationen

Quellcurriculum

Masterstudium Artificial Intelligence 2025W

Lernergebnisse

Kompetenzen
^(*)These result from the subordinate elements

Fertigkeiten	Kenntnisse
^(*)These result from the subordinate elements	^(*)These result from the subordinate elements

Untergeordnete Studienfächer, Module und Lehrveranstaltungen
UE ^(*)Computational Logics for AI
VL ^(*)Computational Logics for AI
UE ^(*)Introduction to Computational Statistics
VL ^(*)Introduction to Computational Statistics
KV ^(*)Machine Learning: Basic Techniques
UE ^(*)Machine Learning: Supervised Techniques
VL ^(*)Machine Learning: Supervised Techniques
UE ^(*)Machine Learning: Unsupervised Techniques
VL ^(*)Machine Learning: Unsupervised Techniques
UE ^(*)Programming in Python II
VL ^(*)Programming in Python II
UE ^(*)Reinforcement Learning
VL ^(*)Reinforcement Learning
UE ^(*)Statistics for AI
VL ^(*)Statistics for AI
UE ^(*)Knowledge Representation and Learning
VL ^(*)Knowledge Representation and Learning
UE ^(*)Planning and Reasoning in Artificial Intelligence
VL ^(*)Planning and Reasoning in Artificial Intelligence
UE Berechenbarkeit und Komplexität
VL Berechenbarkeit und Komplexität
UE Softwareentwicklung 2
VL Softwareentwicklung 2
KV ^(*)Advanced Interactive Visualization
KV ^(*)Big Data Management and Processing
KV ^(*)Computational Data Analytics
KV ^(*)Conceptual Data Modeling
KV ^(*)Debugging
KV ^(*)Digital Image Processing
KV ^(*)Engineering of AI-intensive Systems
KV ^(*)Hardware Design
VL ^(*)Information Displays
KV ^(*)Knowledge Based Systems
UE ^(*)Learning from User-generated Data
VL ^(*)Learning from User-generated Data
UE ^(*)Machine Learning and Pattern Classification
VL ^(*)Machine Learning and Pattern Classification
KV ^(*)Mobile Computing
UE ^(*)Model Checking
VL ^(*)Model Checking
KV ^(*)Multimedia Search and Retrieval
KV ^(*)Parallel Computing
KV ^(*)Principles of Cooperation
KV ^(*)Principles of Interaction
VL ^(*)Quantum Computing
KV ^(*)SAT Solving
KV ^(*)Semantic Data Modeling and Applications
UE ^(*)Visualization
VL ^(*)Visualization
IK ^(*)Operations Research
KS ^(*)Operations Research
KV ^(*)Statistical Principles of Data Science
SE Computational Logistics: Metaheuristiken
SE Computational Logistics: Optimierung

[ 993SCDS19 ] Studienfach (*)Computer and Data Science

[ 993SCDS19 ] Studienfach ^(*)Computer and Data Science