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Masterstudium Computer Science (UK 066/921)

Versionsauswahl
(*) Leider ist diese Information in Deutsch nicht verfügbar.
Übersicht 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 (*)Visualization3,00
................ KV (*)Statistical Principles of Data Science6,00
........ (*)Intelligent Information Systems37,50
................ KV (*)Machine Learning: Basic Techniques3,00
................ 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 (*)Visualization3,00
................ KV (*)Statistical Principles of Data Science6,00
........ (*)Intelligent Information Systems (CS)0,00-27,00
................ KV (*)Machine Learning: Basic Techniques3,00
................ 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 (*)AI and Visualization1,50
........................ VL (*)AI and Visualization1,50
........................ UE (*)Biological Sequence Analysis3,00
........................ VL (*)Biological Sequence Analysis3,00
........................ UE (*)Deep Learning: Basic Techniques1,50
........................ VL (*)Deep Learning: Basic Techniques3,00
........................ UE (*)Machine Learning: Advanced Techniques1,50
........................ VL (*)Machine Learning: Advanced Techniques3,00
........................ UE (*)Planning and Reasoning in Artificial Intelligence1,50
........................ VL (*)Planning and Reasoning in Artificial Intelligence3,00
........................ VL (*)Computational Geometry3,00
........................ KV (*)Advanced Compiler Construction3,00
........................ KV (*)Advanced Interactive Visualization4,50
........................ 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 Computing1,50
........................ 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 (*)Introduction to Linux1,50
........................ KV (*)Mobile Computing3,00
........................ KV (*)Mobile Web Development with Python and JavaScript3,00
........................ KV (*)Model Engineering for Data-Intensive Systems3,00
........................ 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
........................ UE (*)Quantum Computing1,50
........................ VL (*)Quantum Computing3,00
........................ KV (*)SAT Solving3,00
........................ KV (*)Semantic Data Modeling and Applications3,00
........................ KV (*)Statistics 23,00
........................ UE (*)Visualization1,50
........................ KV (*)Web Engineering3,00
........................ KV (*)Web Performance3,00
........................ KV (*)Web Search and Mining3,00
........................ KV (*)Web Security3,00
........................ KV Advanced Cryptology3,00
........................ KV VLSI Design3,00
........................ UE Computational Geometry1,50
........................ UE Computer Algebra1,50
........................ VL Computer Algebra3,00
........................ KV (*)Advanced Regression Analysis4,00
........................ KS Soziale und geschlechterspezifische Aspekte der IT3,00
........................ KV (*)Ethics and Gender Studies3,00
........................ KV (*)Gender Studies Managing Equality TN3,00
........................ KV Multivariate Verfahren4,00
........................ KV Verallgemeinerte Lineare Modelle4,00
................ (*)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