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 | 18,00/18,00/21,00/15,00 |
........ AI and Mechatronics – Robotics and Autonomous Systems | 18,00 |
................ UE Control Systems | 1,50 |
................ VL Control Systems | 3,00 |
................ UE Introduction to Robotic Systems | 1,50 |
................ VL Introduction to Robotic Systems | 3,00 |
................ VL Production Automation Systems | 3,00 |
................ KV Introduction to autonomous vehicles | 6,00 |
........ AI and Mechatronics – Embedded Intelligence and Signal Processing | 18,00 |
................ 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 |
................ UE Optimum and Adaptive Signal Processing Systems | 1,50 |
................ VL Optimum and Adaptive Signal Processing Systems | 3,00 |
................ UE Radar System Engineering | 1,50 |
................ VL Radar System Engineering | 3,00 |
........ Symbolic AI and Mathematical Foundations | 21,00 |
................ Symbolic AI | min. 13,50 |
........................ 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 |
........................ VL Automated Reasoning | 4,50 |
........................ UE Computability and Complexity | 1,50 |
........................ VL Computability and Complexity | 3,00 |
........................ UE Computer Algebra for Concrete Mathematics | 1,50 |
........................ VL Computer Algebra for Concrete Mathematics | 3,00 |
........................ UE Model Checking | 1,50 |
........................ VL Model Checking | 3,00 |
........................ UE Automated Reasoning | 1,50 |
........................ UE Manyvalued Logic | 1,50 |
........................ VL Manyvalued Logic | 3,00 |
................ Mathematical Foundations | min. 13,50 |
........................ VL Discrete Mathematics | 3,00 |
........................ VL Inverse problems | 3,00 |
........................ KV Probability Theory and Stochastic Processes | 3,00 |
........................ UE Mathematics 3 | 1,50 |
........................ VL Mathematics 3 | 4,50 |
........................ KV Numerical Analysis and Optimization | 6,00 |
........................ UE Discrete Mathematics | 1,50 |
........................ UE Inverse problems | 1,50 |
........................ UE Classical harmonic analysis | 1,50 |
........................ VL Classical harmonic analysis | 3,00 |
........................ UE Markov Chains | 1,50 |
........................ VL Markov Chains | 3,00 |
........................ VL Mathematical models in engineering | 3,00 |
........................ UE Numerical methods for partial differential equations | 3,00 |
........................ VL Numerical methods for partial differential equations | 6,00 |
........................ VL Special Topics Functional analysis (1,5 ECTS) | 1,50 |
........................ VL Special Topics Functional analysis | 3,00 |
........................ VL Special Topics Numerical Analysis | 3,00 |
........................ VL Special Topics Probability Theory and Mathematical Statistics (1.5 ECTS) | 1,50 |
........................ VL Special Topics Probability Theory and Mathematical Statistics | 3,00 |
........................ UE Stochastic Simulation | 1,50 |
........................ VL Stochastic Simulation | 3,00 |
........ AI and Life Sciences | 15,00 |
................ 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 |
................ UE Sequence Analysis and Phylogenetics | 3,00 |
................ VL Sequence Analysis and Phylogenetics | 3,00 |
Area of Specialization | 9,00/9,00/6,00/12,00 |
........ 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 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 Computability and Complexity | 1,50 |
................ VL Computability and Complexity | 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 Engineering of AI-intensive Systems | 3,00 |
................ 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 |
................ VL Quantum Computing | 3,00 |
................ KV SAT Solving | 3,00 |
................ KV Semantic Data Modeling and Applications | 3,00 |
................ UE Visual Analytics | 1,50 |
................ 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 | 4,50 |
................ VL Discrete Mathematics | 3,00 |
................ VL Mathematical Logic | 3,00 |
................ VL Symbolic Summation and Integration | 4,50 |
................ 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 |
................ KV Probability Theory and Stochastic Processes | 3,00 |
................ UE Mathematics 3 | 1,50 |
................ VL Mathematics 3 | 4,50 |
................ KV Numerical Analysis and Optimization | 6,00 |
................ VL Algorithmic Combinatorics | 3,00 |
................ UE Automated Reasoning | 1,50 |
................ UE Symbolic Summation and Integration | 1,50 |
................ UE Computer Algebra | 1,50 |
................ VL Computer Algebra | 3,00 |
................ UE Discrete Mathematics | 1,50 |
................ VL Formal Modelling | 3,00 |
................ UE Functional Analysis | 1,50 |
................ VL Functional Analysis | 4,50 |
................ UE Manyvalued Logic | 1,50 |
................ UE Inverse problems | 1,50 |
................ UE Classical harmonic analysis | 1,50 |
................ VL Classical harmonic analysis | 3,00 |
................ VL Manyvalued Logic | 3,00 |
................ UE Markov Chains | 1,50 |
................ VL Markov Chains | 3,00 |
................ UE Mathematical logic | 1,50 |
................ VL Mathematical models in engineering | 3,00 |
................ UE Numerical methods for partial differential equations | 3,00 |
................ VL Numerical methods for partial differential equations | 6,00 |
................ UE Optimization | 1,50 |
................ VL Optimization | 4,50 |
................ KV Programming project symbolic computation | 3,00 |
................ VL Rewriting in Computer Science and Logic | 3,00 |
................ VL Special Topics Functional analysis (1,5 ECTS) | 1,50 |
................ VL Special Topics Functional analysis | 3,00 |
................ VL Special Topics Numerical Analysis | 3,00 |
................ VL Special Topics Optimization | 3,00 |
................ VL Special Topics symbolic computation | 3,00 |
................ VL Special Topics Probability Theory and Mathematical Statistics (1.5 ECTS) | 1,50 |
................ VL Special Topics Probability Theory and Mathematical Statistics | 3,00 |
................ VL Special topics Knowledge-based Mathematical Systems | 3,00 |
................ UE Stochastic Processes | 1,50 |
................ UE Stochastic Simulation | 1,50 |
................ VL Stochastic Simulation | 3,00 |
................ VL Knowledge and Data Based Modelling | 3,00 |
........ Mechatronics | |
................ UE Control Systems | 1,50 |
................ VL Control 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 |
................ UE Radar System Engineering | 1,50 |
................ VL Radar System Engineering | 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 |
................ PR Advanced Frequency-Domain Methods | 3,00 |
................ VL Advanced Frequency-Domain Methods | 3,00 |
................ PR Advanced State-Space Methods | 3,00 |
................ VL Advanced State-Space Methods | 3,00 |
................ KV Introduction to autonomous vehicles | 6,00 |
................ VL Medical technology 2 | 3,00 |
................ VL Medical technology | 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 |
................ VL Introduction to Genetics | 1,50 |
................ VL Organic Chemistry 1 for Biological Chemistry | 4,50 |
................ UE Sequence Analysis and Phylogenetics | 3,00 |
................ VL Sequence Analysis and Phylogenetics | 3,00 |
................ 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 |