Studienhandbuch | General Specialization

Inhalt

Es ist eine neuere Version 2021W dieses Fachs/Moduls im Curriculum Bachelor's programme Computer Science 2023W vorhanden.

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Workload	Mode of examination	Education level	Study areas	Responsible person	Coordinating university
0-7,5 ECTS	Structure	B3 - Bachelor's programme 3. year	Computer Science	Hanspeter Mössenböck	Johannes Kepler University Linz

Detailed information
Original study plan	Bachelor's programme Computer Science 2013W
Objectives	This section of the curriculum allows students to broaden and deepen their general knowledge in Computer Science. All courses in this section are offered regularly, build on the contents of the mandatory courses, and allow students to specialize according to their interests.
Subject	The contents of this subject result from the contents of its courses.
Further information	The general specialization consists of courses which are offered regularly (at least every 2 years).

Subordinated subjects, modules and lectures
KV Introduction to R
UE Sequence Analysis and Phylogenetics
VL Sequence Analysis and Phylogenetics
UE Machine Learning: Unsupervised Techniques
VL Machine Learning: Unsupervised Techniques
KV Advanced Compiler Construction
KV Advanced Model Checking
KV Advanced Model Engineering
KV Application Oriented Knowledge Processing
KV Assistive Technologies and Accessibility
VL Biometric Identification
KV Capacity Planning
KV Cloud Security
KV Conceptual Data Modeling
KV Cooperative Information Systems
KV Debugging
PR Design of Integrated Circuits
KV Digital Image Processing
KV Emerging Computer Technologies
KV Engineering of Software-intensive Systems
KV Hardware Design with Programmable Logic
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 Semantic Data Modeling and Applications
KV Security in Application Protocols
KV Statistics 2
UE Theoretical Concepts of Machine Learning
VL Theoretical Concepts of Machine Learning
VL Visual Analytics
KV VLSI Design
KV Web Engineering
KV Web Search and Mining
KV Wireless LANs
UE Computational Geometry
VL Computational Geometry
UE Computer Algebra for Concrete Mathematics
UE Computer Algebra
VL Computer Algebra
VL Formal Semantics of Programming Languages
VL Rewriting in Computer Science and Logic
KV Web Security
KV Web Usability