Studienhandbuch | Area of Specialisation: Computer Science

Inhalt

Workload	Mode of examination	Education level	Study areas	Responsible person	Coordinating university
0-15 ECTS	Structure	M2 - Master's programme 2. year	Computer Science	Sepp Hochreiter	Johannes Kepler University Linz

Detailed information
Original study plan	Master's programme Bioinformatics 2016W
Objectives	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.
Subject	Specialization in a computer science subject

Subordinated subjects, modules and lectures
KV Information Systems for Bioinformatics
KV Introduction to R
UE Digital signal processing
VL Digital signal processing
UE Computer Architecture
VL Computer Architecture
UE Software Engineering
VL Software Engineering
KV Application Oriented Knowledge Processing
VL Biometric Identification
VL Computer Forensics and IT Law
KV Digital Image Processing
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