Studienhandbuch | Area of Specialisation: Computer Science

Inhalt

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

Workload	Form der Prüfung	Ausbildungslevel	Studienfachbereich	VerantwortlicheR	Anbietende Uni
0-15 ECTS	Gliederung	M2 - Master 2. Jahr	Informatik	Sepp Hochreiter	Johannes Kepler Universität Linz

Detailinformationen
Quellcurriculum	Masterstudium Bioinformatics 2016W
Ziele	^(*)The area of specialisation gives students the opportunity to set a focus in their individual study areas and to deepen their knowledge and skills in the field of Bioinformatics.
Lehrinhalte	^(*)Specialization in a computer science subject

Untergeordnete Studienfächer, Module und Lehrveranstaltungen
KV ^(*)Information Systems for Bioinformatics
KV ^(*)Introduction to R
UE Digitale Signalverarbeitung
VL Digitale Signalverarbeitung
UE Rechnerarchitektur
VL Rechnerarchitektur
UE Software Engineering
VL Software Engineering
KV Application Oriented Knowledge Processing
VL Biometrische Identifikation
VL Computer Forensics and IT Law
KV Digitale Bildverarbeitung
VL Human/Computer Interaction
KV Information Visualization
KV Learning from User-generated Data
KV Machine Learning and Pattern Classification
KV Parallel Computing
UE Probabilistic Models
VL Probabilistic Models
KV Requirements Engineering
KV Software Architectures
KV Software Testing
KV Special Topics (1,5 ECTS)
UE Special Topics (1,5 ECTS)
VL Special Topics (1,5 ECTS)
KV Special Topics (3 ECTS)
UE Special Topics (3 ECTS)
VL Special Topics (3 ECTS)
KV Special Topics (4,5 ECTS)
SE Special Topics
UE Theoretical Concepts of Machine Learning
VL Visual Analytics
KV Web Search and Mining