Inhalt

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

Versionsauswahl
Overview ECTS Credits
Major Subject37,50
........ Computational Engineering37,50
................ UE Machine Learning: Supervised Techniques1,50
................ VL Machine Learning: Supervised Techniques3,00
................ VL Computer Algebra for Concrete Mathematics3,00
................ KV Hardware Design4,50
................ UE Model Checking1,50
................ VL Model Checking3,00
................ KV Parallel Computing4,50
................ VL Probabilistic Models3,00
................ PR Project in Computational Engineering7,50
................ SE Seminar in Computational Engineering3,00
................ KV System Software3,00
........ Data Science37,50
................ Data Warehousing6,00
........................ VL Data Warehousing3,00
........................ UE Data Warehousing3,00
................ VL Machine Learning: Supervised Techniques3,00
................ KV Big Data Management and Processing3,00
................ KV Computational Data Analytics3,00
................ VL Probabilistic Models3,00
................ PR Project in Data Science7,50
................ SE Seminar in Data Science3,00
................ VL Visual Analytics3,00
................ KV Statistical Principles of Data Science6,00
........ Intelligent Information Systems37,50
................ KV Basic Methods of Data Analysis3,00
................ KV Information Retrieval and Extraction3,00
................ KV Integrated Information Systems3,00
................ KV Knowledge Based Systems3,00
................ UE Learning from User-generated Data1,50
................ VL Learning from User-generated Data3,00
................ KV Multimedia Search and Retrieval4,50
................ PR Project in Intelligent Information Systems7,50
................ SE Seminar in Intelligent Information Systems3,00
................ KV Web Information Systems4,50
................ KV Accessible Software and Web Design1,50
........ Networks and Security37,50
................ VL Computer Forensics and IT Law3,00
................ KV Cryptography3,00
................ KV 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
................ UE Computer Vision1,50
................ VL Computer Vision3,00
................ UE Machine Learning and Pattern Classification1,50
................ VL Machine Learning and Pattern Classification3,00
................ 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
................ KV Principles of Cooperation4,50
................ KV Principles of Interaction4,50
................ 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 Subject27,00
........ Computational Engineering (CS)0,00-27,00
................ UE Machine Learning: Supervised Techniques1,50
................ VL Machine Learning: Supervised Techniques3,00
................ VL Computer Algebra for Concrete Mathematics3,00
................ KV Hardware Design4,50
................ UE Model Checking1,50
................ VL Model Checking3,00
................ KV Parallel Computing4,50
................ VL Probabilistic Models3,00
................ SE Seminar in Computational Engineering3,00
................ KV System Software3,00
........ Data Science (CS)0,00-27,00
................ Data Warehousing6,00
........................ VL Data Warehousing3,00
........................ UE Data Warehousing3,00
................ VL Machine Learning: Supervised Techniques3,00
................ KV Big Data Management and Processing3,00
................ KV Computational Data Analytics3,00
................ VL Probabilistic Models3,00
................ SE Seminar in Data Science3,00
................ VL Visual Analytics3,00
................ KV Statistical Principles of Data Science6,00
........ Intelligent Information Systems (CS)0,00-27,00
................ KV Basic Methods of Data Analysis3,00
................ KV Information Retrieval and Extraction3,00
................ KV Integrated Information Systems3,00
................ KV Knowledge Based Systems3,00
................ UE Learning from User-generated Data1,50
................ VL Learning from User-generated Data3,00
................ KV Multimedia Search and Retrieval4,50
................ SE Seminar in Intelligent Information Systems3,00
................ KV Web Information Systems4,50
................ KV Accessible Software and Web Design1,50
........ Networks and Security (CS)0,00-27,00
................ VL Computer Forensics and IT Law3,00
................ KV Cryptography3,00
................ KV 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
................ UE Computer Vision1,50
................ VL Computer Vision3,00
................ UE Machine Learning and Pattern Classification1,50
................ VL Machine Learning and Pattern Classification3,00
................ 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
................ KV Principles of Cooperation4,50
................ KV Principles of Interaction4,50
................ 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
........................ UE Machine Learning: Unsupervised Techniques1,50
........................ VL Machine Learning: Unsupervised Techniques3,00
........................ UE Natural Language Processing1,50
........................ VL Natural Language Processing1,50
........................ UE Reinforcement Learning1,50
........................ VL Reinforcement Learning3,00
........................ UE Visual Analytics1,50
........................ UE Deep Learning and Neural Nets I1,50
........................ VL Deep Learning and Neural Nets I3,00
........................ UE Explainable AI1,50
........................ VL Explainable AI1,50
........................ UE Planning and Reasoning in Artificial Intelligence1,50
........................ VL Planning and Reasoning in Artificial Intelligence3,00
........................ UE Theoretical Concepts of Machine Learning1,50
........................ VL Theoretical Concepts of Machine Learning3,00
........................ UE Sequence Analysis and Phylogenetics3,00
........................ VL Sequence Analysis and Phylogenetics3,00
........................ KV Advanced Compiler Construction3,00
........................ KV Advanced Model Engineering3,00
........................ KV Advanced Operating Systems3,00
........................ KV Application Oriented Knowledge Processing3,00
........................ KV Assistive Technologies and Accessibility3,00
........................ KV Big Data Engineering3,00
........................ VL Biometric Identification3,00
........................ KV Cloud Security3,00
........................ PR Computational Data Analytics1,50
........................ UE Computer Algebra for Concrete Mathematics1,50
........................ UE Computer Forensics and IT Law1,50
........................ KV Conceptual Data Modeling3,00
........................ KV Debugging3,00
........................ KV Digital Image Processing3,00
........................ KV Engineering of AI-intensive Systems3,00
........................ KV Human/Computer Interaction3,00
........................ VL Information Displays3,00
........................ KV Information Visualization4,50
........................ KV Introduction to Linux1,50
........................ KV Mobile Computing3,00
........................ KV Mobile Web Development3,00
........................ KV Modeling and Computer Simulation3,00
........................ KV Modeling Internet Applications3,00
........................ KV Practical Introduction to Modern System Design with C++4,50
........................ UE Probabilistic Models1,50
........................ KV Product Line Engineering3,00
........................ VL Quantum Computing3,00
........................ KV SAT Solving3,00
........................ KV Semantic Data Modeling and Applications3,00
........................ KV Statistics 23,00
........................ KV Web Engineering3,00
........................ KV Web Performance3,00
........................ KV Web Search and Mining3,00
........................ KV Web Security3,00
........................ KV Web Usability1,50
........................ KV Advanced Cryptology3,00
........................ KV VLSI Design3,00
........................ UE Computational Geometry1,50
........................ VL Computational Geometry3,00
........................ UE Computer Algebra1,50
........................ VL Computer Algebra3,00
........................ VL Formal Semantics of Programming Languages3,00
........................ VL Rewriting in Computer Science and Logic3,00
........................ KV Advanced Regression Analysis4,00
........................ KS Social and gender IT aspects3,00
........................ VL Ethics and Gender Studies3,00
........................ KV Gender Studies Managing Equality TN3,00
........................ KV Multivariate Statistics4,00
........................ KV Generalized linear models4,00
................ 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 SS8,00
........ SE Master's Thesis Seminar WS8,00
Free Electives12,00