| Overview |
ECTS Credits |
| Machine Learning and Perception | 34,50 |
| ........ UE Deep Learning and Neural Nets II | 1,50 |
| ........ VL Deep Learning and Neural Nets II | 3,00 |
| ........ UE Deep Learning and Neural Nets I | 1,50 |
| ........ VL Deep Learning and Neural Nets I | 3,00 |
| ........ UE Deep Reinforcement Learning | 1,50 |
| ........ VL Deep Reinforcement Learning | 3,00 |
| ........ UE Explainable AI | 1,50 |
| ........ VL Explainable AI | 1,50 |
| ........ UE LSTM and Recurrent Neural Nets | 1,50 |
| ........ VL LSTM and Recurrent Neural Nets | 3,00 |
| ........ UE Theoretical Concepts of Machine Learning | 1,50 |
| ........ VL Theoretical Concepts of Machine Learning | 3,00 |
| ........ UE Computer Vision | 1,50 |
| ........ VL Computer Vision | 3,00 |
| ........ UE Probabilistic Models | 1,50 |
| ........ VL Probabilistic Models | 3,00 |
| Seminar and Practical Training | 10,50 |
| ........ PR Practical Work in AI (Master) | 7,50 |
| ........ SE Seminar in AI (Master) | 3,00 |
| AI and Society | 10,50 |
| ........ VL AI and Law II | 1,50 |
| ........ VL AI and Law I | 3,00 |
| ........ KV Artificial Intelligence in Society | 1,50 |
| ........ KV Communicating AI | 1,50 |
| ........ KV Robopsychology | 3,00 |
| Elective Tracks | 16,50/17,75/18,00/9,00 |
| ........ AI and Mechatronics – Robotics and Autonomous Systems | 16,50 |
| ................ UE Control Systems | 1,50 |
| ................ VL Control Systems | 3,00 |
| ................ UE Introduction to Autonomous Systems | 1,50 |
| ................ VL Introduction to Autonomous Systems | 3,00 |
| ................ UE Introduction to Robotic Systems | 1,50 |
| ................ VL Introduction to Robotic Systems | 3,00 |
| ................ VL Production Automation Systems | 3,00 |
| ........ AI and Mechatronics – Embedded Intelligence and Signal Processing | 17,75 |
| ................ UE Pervasive Computing: Design and Development | 1,50 |
| ................ VL Pervasive Computing: Design and Development | 3,00 |
| ................ UE Pervasive Computing: Systems and Environments | 1,50 |
| ................ VL Pervasive Computing: Systems and Environments | 3,00 |
| ................ UE Optimum and Adaptive Signal Processing Systems | 1,50 |
| ................ VL Optimum and Adaptive Signal Processing Systems | 3,00 |
| ................ UE Radar Signal Processing | 1,25 |
| ................ VL Radar Signal Processing | 3,00 |
| ........ Reasoning and Knowledge Representation | 18,00 |
| ................ UE Knowledge Representation and Learning | 1,50 |
| ................ VL Knowledge Representation and Learning | 3,00 |
| ................ UE Planning and Reasoning in Artificial Intelligence | 1,50 |
| ................ VL Planning and Reasoning in Artificial Intelligence | 3,00 |
| ................ VL Automated Reasoning | 3,00 |
| ................ UE Model Checking | 1,50 |
| ................ VL Model Checking | 3,00 |
| ................ UE Automated Reasoning | 1,50 |
| ........ AI and Life Sciences | 9,00 |
| ................ UE Artificial Intelligence in Life Sciences | 1,50 |
| ................ VL Artificial Intelligence in Life Sciences | 1,50 |
| ................ KV Genome Analysis & Transcriptomics | 3,00 |
| ................ KV Structural Bioinformatics | 3,00 |
| Area of Specialization | 10,50/9,25/9,00/18,00 |
| ........ Computer and Data Science | |
| ................ KV Basic Methods of Data Analysis | 3,00 |
| ................ UE Computational Logics for AI | 1,50 |
| ................ VL Computational Logics for AI | 3,00 |
| ................ UE Introduction to Computational Statistics | 1,50 |
| ................ VL Introduction to Computational Statistics | 3,00 |
| ................ UE Machine Learning: Supervised Techniques | 1,50 |
| ................ VL Machine Learning: Supervised Techniques | 3,00 |
| ................ UE Machine Learning: Unsupervised Techniques | 1,50 |
| ................ VL Machine Learning: Unsupervised Techniques | 3,00 |
| ................ UE Programming in Python II | 1,50 |
| ................ VL Programming in Python II | 1,50 |
| ................ UE Reinforcement Learning | 1,50 |
| ................ VL Reinforcement Learning | 3,00 |
| ................ UE Statistics for AI | 3,00 |
| ................ VL Statistics for AI | 3,00 |
| ................ UE Visual Analytics | 1,50 |
| ................ UE Knowledge Representation and Learning | 1,50 |
| ................ VL Knowledge Representation and Learning | 3,00 |
| ................ UE Planning and Reasoning in Artificial Intelligence | 1,50 |
| ................ VL Planning and Reasoning in Artificial Intelligence | 3,00 |
| ................ UE Software Development 2 | 3,00 |
| ................ VL Software Development 2 | 3,00 |
| ................ KV Big Data Management and Processing | 3,00 |
| ................ KV Computational Data Analytics | 3,00 |
| ................ KV Conceptual Data Modeling | 3,00 |
| ................ KV Debugging | 3,00 |
| ................ KV Emerging Computer Technologies | 4,50 |
| ................ KV Hardware Design | 4,50 |
| ................ VL Information Displays | 3,00 |
| ................ KV Information Visualization | 4,50 |
| ................ KV Knowledge Based Systems | 3,00 |
| ................ UE Learning from User-generated Data | 1,50 |
| ................ VL Learning from User-generated Data | 3,00 |
| ................ UE Machine Learning and Pattern Classification | 1,50 |
| ................ VL Machine Learning and Pattern Classification | 3,00 |
| ................ KV Mobile Computing | 3,00 |
| ................ UE Model Checking | 1,50 |
| ................ VL Model Checking | 3,00 |
| ................ KV Multimedia Search and Retrieval | 4,50 |
| ................ KV Parallel Computing | 4,50 |
| ................ KV Principles of Cooperation | 4,50 |
| ................ KV Principles of Interaction | 4,50 |
| ................ KV SAT Solving | 3,00 |
| ................ KV Semantic Data Modeling and Applications | 3,00 |
| ................ VL Visual Analytics | 3,00 |
| ................ IK Operations Research | 3,00 |
| ................ KS Operations Research | 3,00 |
| ................ KV Statistical Principles of Data Science | 6,00 |
| ................ SE Computational Logistics: Metaheuristics | 6,00 |
| ................ SE Computational Logistics: Optimization | 6,00 |
| ........ Mathematics | |
| ................ VL Automated Reasoning | 3,00 |
| ................ VL Computer Analysis | 3,00 |
| ................ VL Manyvalued Logic | 3,00 |
| ................ VL Mathematical logic 1 | 3,00 |
| ................ VL Inverse problems | 3,00 |
| ................ VL Stochastic processes | 3,00 |
| ................ UE Computer Algebra for Concrete Mathematics | 1,50 |
| ................ VL Computer Algebra for Concrete Mathematics | 3,00 |
| ................ VL Algortithmic Combinatorics | 3,00 |
| ................ UE Automated Reasoning | 1,50 |
| ................ VL Computability theory | 3,00 |
| ................ UE Computational Geometry | 1,50 |
| ................ VL Computational Geometry | 3,00 |
| ................ UE Computer Analysis | 1,50 |
| ................ UE Computer Algebra | 1,50 |
| ................ VL Computer Algebra | 3,00 |
| ................ VL Formal Modelling | 3,00 |
| ................ VL Formal Semantics of Programming Languages | 3,00 |
| ................ UE Functional Analysis | 1,50 |
| ................ VL Functional Analysis | 4,50 |
| ................ UE Manyvalued Logic | 1,50 |
| ................ UE Fuzzy Systems | 1,50 |
| ................ VL Fuzzy Systems | 3,00 |
| ................ UE Inverse problems | 1,50 |
| ................ UE Markov chains | 1,50 |
| ................ VL Markov chains | 3,00 |
| ................ UE Mathematical logic 1 | 1,50 |
| ................ UE Optimization | 1,50 |
| ................ VL Optimization | 4,50 |
| ................ KV Practical in Logic and Software Design | 3,00 |
| ................ KV Programming project symbolic computation | 3,00 |
| ................ VL Rewriting in Computer Science and Logic | 3,00 |
| ................ VL Special Topics optimization | 3,00 |
| ................ VL Special Topics symbolic computation | 3,00 |
| ................ VL Special topcis probability theory and mathematical statistics | 3,00 |
| ................ VL Special topics Knowledge-based Mathematical Systems | 3,00 |
| ................ UE Stochastic processes | 1,50 |
| ................ VL Knowledge and Data Based Modelling | 3,00 |
| ........ Mechatronics | |
| ................ UE Control Systems | 1,50 |
| ................ VL Control Systems | 3,00 |
| ................ UE Introduction to Autonomous Systems | 1,50 |
| ................ VL Introduction to Autonomous Systems | 3,00 |
| ................ UE Introduction to Robotic Systems | 1,50 |
| ................ VL Introduction to Robotic Systems | 3,00 |
| ................ VL Production Automation Systems | 3,00 |
| ................ UE Pervasive Computing: Design and Development | 1,50 |
| ................ VL Pervasive Computing: Design and Development | 3,00 |
| ................ UE Pervasive Computing: Systems and Environments | 1,50 |
| ................ VL Pervasive Computing: Systems and Environments | 3,00 |
| ................ KV Communications Engineering | 3,00 |
| ................ UE Optimum and Adaptive Signal Processing Systems | 1,50 |
| ................ VL Optimum and Adaptive Signal Processing Systems | 3,00 |
| ................ PR Practical Course on the Foundations of Robotics | 3,00 |
| ................ PR Automatic Control | 3,00 |
| ................ UE Linear Control Theory | 3,00 |
| ................ VL Linear Control Theory | 3,00 |
| ................ UE Signals and Systems | 1,50 |
| ................ VL Signals and Systems | 4,50 |
| ................ VL Medical technology 2 | 3,00 |
| ................ VL Medical technology | 3,00 |
| ................ VL Control System Technology 1 | 3,00 |
| ................ VL Control System Technology | 3,00 |
| ................ PR Control System Technology Lab 1 | 3,00 |
| ................ PR Control System Technology Lab 2 | 3,00 |
| ................ UE Radar Signal Processing | 1,25 |
| ................ VL Radar Signal Processing | 3,00 |
| ........ Life Sciences | |
| ................ UE Artificial Intelligence in Life Sciences | 1,50 |
| ................ VL Artificial Intelligence in Life Sciences | 1,50 |
| ................ KV Genome Analysis & Transcriptomics | 3,00 |
| ................ KV Structural Bioinformatics | 3,00 |
| ................ UE Sequence Analysis and Phylogenetics | 3,00 |
| ................ VL Sequence Analysis and Phylogenetics | 3,00 |
| ................ VL Introduction to Genetics | 1,50 |
| ................ VL Organic Chemistry 1 for Biological Chemistry | 4,50 |
| ................ UE Bioanalytics I | 1,50 |
| ................ VL Bioanalytics I | 3,00 |
| ................ UE Molecular biology of the cell I | 1,50 |
| ................ VL Molecular biology of the cell I | 3,00 |
| ................ KV Topics in Genetics & Evolution | 3,00 |
| ................ UE Medical Imaging | 1,50 |
| ................ VL Medical Imaging | 4,50 |
| ................ VU Advanced Topics of Molecular Biotechnologies | 3,00 |
| ................ VL Biochemistry | 3,00 |
| ................ VL Instrumental Analytical Chemistry | 3,00 |
| ................ VL Introduction to Organic Chemistry | 3,00 |
| ................ VL NMR Spectroscopy | 1,50 |
| ................ VL Organic Chemistry 1 | 4,50 |
| ................ VL Advanced NMR 1 | 1,50 |
| ................ VL Organic Chemistry for Physics | 3,00 |
| ........ Special Topics | |
| ................ KV Special Topics in AI | 1,50 |
| ................ UE Special Topics in AI | 1,50 |
| ................ VL Special Topics in AI | 1,50 |
| ................ KV Special Topics in AI | 3,00 |
| ................ UE Special Topics in AI | 3,00 |
| ................ VL Special Topics in AI | 3,00 |
| ................ KV Special Topics in AI | 4,50 |
| ................ VL Special Topics in AI | 4,50 |
| ................ SE Special Topics in AI | 3,00 |
| ................ 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 Topics | 3,00 |
| ........ Miscellaneous | |
| ................ KS Introduction to Organization | 3,00 |
| ................ KS Introduction to Change and Innovation Management | 3,00 |
| ................ KS Business Administration Basics | 3,00 |
| ................ KS Supply Chain Fundamentals | 3,00 |
| ................ KV Project Management | 3,00 |
| ................ KV Techniques of Presentation and Team Work | 3,00 |
| ................ VL Law for Computer Science | 3,00 |
| ................ VL Economy for Computer Science | 3,00 |
| ................ VL Computer Forensics and IT Law | 3,00 |
| ................ VL Literature Searching, Publishing and Patents | 1,50 |
| ................ KV Scientific Writing and Presenting | 3,00 |
| ................ VL Thinking, Speaking, Writing | 3,00 |
| ................ KS Social and gender IT aspects | 3,00 |
| ................ VL Ethics and Gender Studies | 3,00 |
| ................ KV Gender Studies Managing Equality TN | 3,00 |
| Master's Thesis Seminar | 3,00 |
| ........ SE Master's Thesis Seminar | 3,00 |
| Free Electives | 12,00 |
