| Übersicht |
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 Optimale und Adaptive Signalverarbeitungssysteme | 1,50 |
| ................ VL Optimale und Adaptive Signalverarbeitungssysteme | 3,00 |
| ................ UE Radarsignalverarbeitung | 1,25 |
| ................ VL Radarsignalverarbeitung | 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 Softwareentwicklung 2 | 3,00 |
| ................ VL Softwareentwicklung 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: Metaheuristiken | 6,00 |
| ................ SE Computational Logistics: Optimierung | 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 Probleme | 3,00 |
| ................ VL Stochastische Prozesse | 3,00 |
| ................ UE (*)Computer Algebra for Concrete Mathematics | 1,50 |
| ................ VL (*)Computer Algebra for Concrete Mathematics | 3,00 |
| ................ VL Algorithmische Kombinatorik | 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 Formales Modellieren | 3,00 |
| ................ VL Formal Semantics of Programming Languages | 3,00 |
| ................ UE Funktionalanalysis | 1,50 |
| ................ VL Funktionalanalysis | 4,50 |
| ................ UE Manyvalued Logic | 1,50 |
| ................ UE Fuzzy Systems | 1,50 |
| ................ VL Fuzzy Systems | 3,00 |
| ................ UE Inverse Probleme | 1,50 |
| ................ UE Markov-Ketten | 1,50 |
| ................ VL Markov-Ketten | 3,00 |
| ................ UE Mathematical logic 1 | 1,50 |
| ................ UE Optimierung | 1,50 |
| ................ VL Optimierung | 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 Spezialvorlesung Optimierung | 3,00 |
| ................ VL Special Topics symbolic computation | 3,00 |
| ................ VL Spezialvorlesung Wahrscheinlichkeitstheorie und Mathematische Statistik | 3,00 |
| ................ VL Spezialvorlesung Wissensbasierte mathematische Systeme | 3,00 |
| ................ UE Stochastische Prozesse | 1,50 |
| ................ VL Wissens- und Datenbasiertes Modellieren | 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 Übertragungstechnik | 3,00 |
| ................ UE Optimale und Adaptive Signalverarbeitungssysteme | 1,50 |
| ................ VL Optimale und Adaptive Signalverarbeitungssysteme | 3,00 |
| ................ PR Grundlagenpraktikum Robotik | 3,00 |
| ................ PR Regelungstechnik | 3,00 |
| ................ UE Regelungstheorie linearer Systeme | 3,00 |
| ................ VL Regelungstheorie linearer Systeme | 3,00 |
| ................ UE Signale und Systeme | 1,50 |
| ................ VL Signale und Systeme | 4,50 |
| ................ VL Medizintechnik 2 | 3,00 |
| ................ VL Medizintechnik | 3,00 |
| ................ VL Prozessautomatisierung 1 | 3,00 |
| ................ VL Prozessautomatisierung 2 | 3,00 |
| ................ PR Prozessautomatisierung Praktikum 1 | 3,00 |
| ................ PR Prozessautomatisierung Praktikum 2 | 3,00 |
| ................ UE Radarsignalverarbeitung | 1,25 |
| ................ VL Radarsignalverarbeitung | 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 Molekulare Biologie der Zelle I | 1,50 |
| ................ VL Molekulare Biologie der Zelle 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 Organische Chemie für Physik | 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 Einführung in Organisation | 3,00 |
| ................ KS Einführung in Veränderungs- und Innovationsmanagement | 3,00 |
| ................ KS Grundlagen der Betriebswirtschaftslehre | 3,00 |
| ................ KS Grundlagen des Supply Chain Management | 3,00 |
| ................ KV Projektorganisation | 3,00 |
| ................ KV Präsentations- und Arbeitstechnik | 3,00 |
| ................ VL Rechtsgrundlagen der Informatik | 3,00 |
| ................ VL Wirtschaftsgrundlagen der Informatik | 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 Soziale und geschlechterspezifische Aspekte der IT | 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 |