Inhalt

Master's programme Computer Science (K 066/921)

Versionsauswahl
Overview ECTS Credits
Major Subject37,50
........ Computational Engineering37,50
................ UE Machine Learning: Supervised Techniques1,50
................ VL Machine Learning: Supervised Techniques3,00
................ UE Hardware Design1,50
................ VL Hardware Design3,00
................ KV Model Checking4,50
................ KV Parallel Computing4,50
................ VL Probabilistic Models3,00
................ PR Project in Computational Engineering7,50
................ SE Seminar in Computational Engineering3,00
................ KV System Software3,00
................ VL Computer Algebra for Concrete Mathematics3,00
........ Intelligent Information Systems37,50
................ KV Basic Methods of Data Analysis3,00
................ KV Accessible Software and Web Design1,50
................ KV Information Retrieval and Extraction3,00
................ KV Integrated Information Systems3,00
................ KV Knowledge Based Systems3,00
................ KV Learning from User-generated Data4,50
................ KV Multimedia Search and Retrieval4,50
................ PR Project in Intelligent Information Systems7,50
................ SE Seminar in Intelligent Information Systems 3,00
................ KV Web Information Systems4,50
........ Networks and Security37,50
................ VL Computer Forensics and IT Law3,00
................ KV Cryptography3,00
................ VL Information Security Management3,00
................ VL Introduction to IT Security3,00
................ KV Network Management3,00
................ KV Network Security1,50
................ PR Project in Networks and Security7,50
................ KV Secure Code1,50
................ KV Security Models in Information Systems3,00
................ SE Seminar in Networks and Security3,00
................ KV System Administration3,00
................ KV Systems Security3,00
........ Pervasive Computing37,50
................ KV Computer Vision4,50
................ KV Machine Learning and Pattern Classification 4,50
................ UE Pervasive Computing: Design and Development1,50
................ VL Pervasive Computing: Design and Development3,00
................ UE Pervasive Computing: Systems and Environments1,50
................ VL Pervasive Computing: Systems and Environments3,00
................ UE Principles of Cooperation1,50
................ VL Principles of Cooperation3,00
................ UE Principles of Interaction1,50
................ VL Principles of Interaction3,00
................ PR Project in Pervasive Computing7,50
................ SE Seminar in Pervasive Computing3,00
........ Software Engineering37,50
................ KV Formal Methods in Software Development4,50
................ KV Model-driven Engineering3,00
................ KV Principles of Programming Languages3,00
................ PR Project in Software Engineering7,50
................ KV Requirements Engineering3,00
................ SE Seminar in Software Engineering3,00
................ KV Software Architectures4,50
................ KV Software Processes and Tools3,00
................ KV Software Testing3,00
................ KV System Software3,00
Complementary Subject 27,00
........ Computational Engineering (CS) 0,00-27,00
................ UE Machine Learning: Supervised Techniques1,50
................ VL Machine Learning: Supervised Techniques3,00
................ UE Hardware Design1,50
................ VL Hardware Design3,00
................ KV Model Checking4,50
................ KV Parallel Computing4,50
................ VL Probabilistic Models3,00
................ SE Seminar in Computational Engineering3,00
................ KV System Software3,00
................ VL Computer Algebra for Concrete Mathematics3,00
........ Intelligent Information Systems (CS) 0,00-27,00
................ KV Basic Methods of Data Analysis3,00
................ KV Accessible Software and Web Design1,50
................ KV Information Retrieval and Extraction3,00
................ KV Integrated Information Systems3,00
................ KV Knowledge Based Systems3,00
................ KV Learning from User-generated Data4,50
................ KV Multimedia Search and Retrieval4,50
................ SE Seminar in Intelligent Information Systems 3,00
................ KV Web Information Systems4,50
........ Networks and Security (CS) 0,00-27,00
................ VL Computer Forensics and IT Law3,00
................ KV Cryptography3,00
................ VL Information Security Management3,00
................ VL Introduction to IT Security3,00
................ KV Network Management3,00
................ KV Network Security1,50
................ KV Secure Code1,50
................ KV Security Models in Information Systems3,00
................ SE Seminar in Networks and Security3,00
................ KV System Administration3,00
................ KV Systems Security3,00
........ Pervasive Computing (CS) 0,00-27,00
................ KV Computer Vision4,50
................ KV Machine Learning and Pattern Classification 4,50
................ UE Pervasive Computing: Design and Development1,50
................ VL Pervasive Computing: Design and Development3,00
................ UE Pervasive Computing: Systems and Environments1,50
................ VL Pervasive Computing: Systems and Environments3,00
................ UE Principles of Cooperation1,50
................ VL Principles of Cooperation3,00
................ UE Principles of Interaction1,50
................ VL Principles of Interaction3,00
................ SE Seminar in Pervasive Computing3,00
........ Software Engineering (CS) 0,00-27,00
................ KV Formal Methods in Software Development4,50
................ KV Model-driven Engineering3,00
................ KV Principles of Programming Languages3,00
................ KV Requirements Engineering3,00
................ SE Seminar in Software Engineering3,00
................ KV Software Architectures4,50
................ KV Software Processes and Tools3,00
................ KV Software Testing3,00
................ KV System Software3,00
........ Electives0,00-27,00
................ General Electives0,00-27,00
........................ KV Introduction to R3,00
........................ UE Machine Learning: Unsupervised Techniques1,50
........................ VL Machine Learning: Unsupervised Techniques3,00
........................ UE Sequence Analysis and Phylogenetics3,00
........................ VL Sequence Analysis and Phylogenetics3,00
........................ KV Advanced Compiler Construction3,00
........................ KV Advanced Model Checking 3,00
........................ KV Advanced Model Engineering3,00
........................ KV Application Oriented Knowledge Processing3,00
........................ KV Assistive Technologies and Accessibility 3,00
........................ VL Biometric Identification3,00
........................ KV Capacity Planning 3,00
........................ KV Cloud Security3,00
........................ KV Computer Architecture 2 4,50
........................ KV Conceptual Data Modeling 3,00
........................ KV Cooperative Information Systems 3,00
........................ KV Debugging3,00
........................ PR Design of Integrated Circuits 3,00
........................ KV Digital Image Processing3,00
........................ KV Engineering of Software-intensive Systems3,00
........................ KV Hardware Design with Programmable Logic 3,00
........................ PR Hardware-oriented Work on PCs3,00
........................ VL Human/Computer Interaction 3,00
........................ VL Information Displays3,00
........................ KV Information Visualization 4,50
........................ KV Mobile Computing3,00
........................ KV Modeling and Computer Simulation 3,00
........................ KV Modeling Internet Applications3,00
........................ UE Probabilistic Models1,50
........................ KV Product Line Engineering 3,00
........................ KV Semantic Data Modeling and Applications 3,00
........................ KV Security in Application Protocols1,50
........................ KV Statistics 23,00
........................ UE Theoretical Concepts of Machine Learning1,50
........................ VL Theoretical Concepts of Machine Learning3,00
........................ VL Visual Analytics 3,00
........................ KV VLSI Design 3,00
........................ KV Web Engineering3,00
........................ KV Web Search and Mining3,00
........................ KV Wireless LANs1,50
........................ KV Gender Studies Managing Equality TN3,00
........................ UE Automated Reasoning1,50
........................ VL Automated Reasoning3,00
........................ UE Computer Algebra for Concrete Mathematics1,50
........................ UE Computer Algebra 1,50
........................ VL Computer Algebra 3,00
........................ VL Design and Analysis of Algorithms3,00
........................ VL Formal Semantics of Programming Languages3,00
........................ VL Ethics and Gender Studies3,00
........................ KV Web Security3,00
........................ KV Web Usability1,50
........................ KS Social and gender IT aspects3,00
................ Special Topics0,00-27,00
........................ KV Special Topics (1,5 ECTS)1,50
........................ UE Special Topics (1,5 ECTS)1,50
........................ VL Special Topics (1,5 ECTS)1,50
........................ KV Special Topics (3 ECTS)3,00
........................ UE Special Topics (3 ECTS)3,00
........................ VL Special Topics (3 ECTS)3,00
........................ KV Special Topics (4,5 ECTS)4,50
........................ SE Special Topics3,00
Master's Thesis Seminars16,00
........ SE Master's Thesis Seminar SS 8,00
........ SE Master's Thesis Seminar WS 8,00
Free Electives 12,00