Inhalt

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
................ 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
........ 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
................ 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 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
................ 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
................ 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
................ 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 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
................ KV Model Checking4,50
................ 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
................ KV Learning from User-generated Data4,50
................ 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
................ 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
................ 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
................ 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
........................ UE (*)Machine Learning: Unsupervised Techniques1,50
........................ VL (*)Machine Learning: Unsupervised Techniques3,00
........................ KV (*)Natural Language Processing3,00
........................ 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 (*)Symbolic AI1,50
........................ VL (*)Symbolic AI3,00
........................ 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 Application Oriented Knowledge Processing3,00
........................ KV Assistive Technologies and Accessibility3,00
........................ VL Biometrische Identifikation3,00
........................ KV Cloud Security3,00
........................ UE Computer Algebra for Concrete Mathematics1,50
........................ KV Conceptual Data Modeling3,00
........................ KV Cooperative Information Systems3,00
........................ KV Debugging3,00
........................ KV Digitale Bildverarbeitung3,00
........................ KV Emerging Computer Technologies4,50
........................ KV Engineering of Software-intensive Systems3,00
........................ PR Hardwareorientiertes Arbeiten an PCs3,00
........................ VL Human/Computer Interaction3,00
........................ VL Information Displays3,00
........................ KV Information Visualization4,50
........................ KV Mobile Computing3,00
........................ KV Modeling and Computer Simulation3,00
........................ KV Modeling Internet Applications3,00
........................ UE Probabilistic Models1,50
........................ KV Product Line Engineering3,00
........................ KV SAT Solving3,00
........................ KV Semantic Data Modeling and Applications3,00
........................ KV Sicherheit in Applikationsprotokollen1,50
........................ KV Statistik 23,00
........................ KV VLSI Design3,00
........................ KV Web Engineering3,00
........................ KV Web Performance3,00
........................ KV Web Search and Mining3,00
........................ KV Wireless LANs1,50
........................ 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 Web Security3,00
........................ KV (*)Advanced Regression Analysis4,00
........................ KV Web Usability1,50
........................ KS Soziale und geschlechterspezifische Aspekte der IT3,00
........................ VL 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