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 |