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Masterstudium Artificial Intelligence (UK 066/993)

Versionsauswahl
(*) Leider ist diese Information in Deutsch nicht verfügbar.
Übersicht ECTS Credits
(*)Machine Learning and Perception34,50
........ UE (*)Deep Learning and Neural Nets II1,50
........ VL (*)Deep Learning and Neural Nets II3,00
........ UE (*)Deep Learning and Neural Nets I1,50
........ VL (*)Deep Learning and Neural Nets I3,00
........ UE (*)Deep Reinforcement Learning1,50
........ VL (*)Deep Reinforcement Learning3,00
........ UE (*)Explainable AI1,50
........ VL (*)Explainable AI1,50
........ UE (*)LSTM and Recurrent Neural Nets1,50
........ VL (*)LSTM and Recurrent Neural Nets3,00
........ UE (*)Theoretical Concepts of Machine Learning1,50
........ VL (*)Theoretical Concepts of Machine Learning3,00
........ UE (*)Computer Vision1,50
........ VL (*)Computer Vision3,00
........ UE (*)Probabilistic Models1,50
........ VL (*)Probabilistic Models3,00
(*)Seminar and Practical Training10,50
........ PR (*)Practical Work in AI (Master)7,50
........ SE (*)Seminar in AI (Master)3,00
(*)AI and Society10,50
........ VL (*)AI and Law II1,50
........ VL (*)AI and Law I3,00
........ KV (*)Artificial Intelligence in Society1,50
........ KV (*)Communicating AI1,50
........ KV (*)Robopsychology3,00
(*)Elective Tracks16,50/18,00/21,00/12,00
........ (*)AI and Mechatronics – Robotics and Autonomous Systems16,50
................ UE (*)Control Systems1,50
................ VL (*)Control Systems3,00
................ UE (*)Introduction to Autonomous Systems1,50
................ VL (*)Introduction to Autonomous Systems3,00
................ UE (*)Introduction to Robotic Systems1,50
................ VL (*)Introduction to Robotic Systems3,00
................ VL (*)Production Automation Systems3,00
........ (*)AI and Mechatronics – Embedded Intelligence and Signal Processing18,00
................ 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 Optimum and Adaptive Signal Processing Systems1,50
................ VL Optimum and Adaptive Signal Processing Systems3,00
................ UE Radar System Engineering1,50
................ VL Radar System Engineering3,00
........ (*)Symbolic AI and Mathematical Foundations21,00
................ (*)Symbolic AImin. 13,50
........................ UE (*)Knowledge Representation and Learning1,50
........................ VL (*)Knowledge Representation and Learning3,00
........................ UE (*)Planning and Reasoning in Artificial Intelligence1,50
........................ VL (*)Planning and Reasoning in Artificial Intelligence3,00
........................ VL (*)Automated Reasoning3,00
........................ VL (*)Manyvalued Logic3,00
........................ UE Berechenbarkeit und Komplexität1,50
........................ VL Berechenbarkeit und Komplexität3,00
........................ UE (*)Computer Algebra for Concrete Mathematics1,50
........................ VL (*)Computer Algebra for Concrete Mathematics3,00
........................ UE (*)Model Checking1,50
........................ VL (*)Model Checking3,00
........................ UE Automated Reasoning1,50
........................ UE Manyvalued Logic1,50
................ (*)Mathematical Foundationsmin. 13,50
........................ VL (*)Inverse problems3,00
........................ KV Wahrscheinlichkeitstheorie und stochastische Prozesse3,00
........................ UE Mathematik 31,50
........................ VL Mathematik 34,50
........................ KV Numerik und Optimierung6,00
........................ UE Discrete and experimental mathematics1,50
........................ VL Discrete and experimental mathematics3,00
........................ UE Inverse Probleme1,50
........................ UE Klassische Harmonische Analysis1,50
........................ VL Klassische Harmonische Analysis3,00
........................ UE Markov Chains1,50
........................ VL Markov Chains3,00
........................ VL Mathematische Modelle in der Technik3,00
........................ UE Numerik Partieller Differentialgleichungen3,00
........................ VL Numerik Partieller Differentialgleichungen6,00
........................ VL Spezialvorlesung Funktionalanalysis (1,5 ECTS)1,50
........................ VL Spezialvorlesung Funktionalanalysis3,00
........................ VL Special Topics Numerical Analysis3,00
........................ VL Special Topics Probability Theory and Mathematical Statistics (1.5 ECTS)1,50
........................ VL Special Topics Probability Theory and Mathematical Statistics3,00
........................ UE Stochastic Simulation1,50
........................ VL Stochastic Simulation3,00
........ (*)AI and Life Sciences12,00
................ UE (*)Artificial Intelligence in Life Sciences1,50
................ VL (*)Artificial Intelligence in Life Sciences1,50
................ KV (*)Genome Analysis & Transcriptomics3,00
................ KV (*)Structural Bioinformatics3,00
................ VL (*)Sequence Analysis and Phylogenetics3,00
(*)Area of Specialization10,50/9,00/6,00/15,00
........ (*)Computer and Data Science
................ KV (*)Basic Methods of Data Analysis3,00
................ UE (*)Computational Logics for AI1,50
................ VL (*)Computational Logics for AI3,00
................ UE (*)Introduction to Computational Statistics1,50
................ VL (*)Introduction to Computational Statistics3,00
................ UE (*)Machine Learning: Supervised Techniques1,50
................ VL (*)Machine Learning: Supervised Techniques3,00
................ UE (*)Machine Learning: Unsupervised Techniques1,50
................ VL (*)Machine Learning: Unsupervised Techniques3,00
................ UE (*)Programming in Python II1,50
................ VL (*)Programming in Python II1,50
................ UE (*)Reinforcement Learning1,50
................ VL (*)Reinforcement Learning3,00
................ UE (*)Statistics for AI3,00
................ VL (*)Statistics for AI3,00
................ UE (*)Visual Analytics1,50
................ UE (*)Knowledge Representation and Learning1,50
................ VL (*)Knowledge Representation and Learning3,00
................ UE (*)Planning and Reasoning in Artificial Intelligence1,50
................ VL (*)Planning and Reasoning in Artificial Intelligence3,00
................ UE Berechenbarkeit und Komplexität1,50
................ VL Berechenbarkeit und Komplexität3,00
................ UE Softwareentwicklung 23,00
................ VL Softwareentwicklung 23,00
................ KV (*)Big Data Management and Processing3,00
................ KV (*)Computational Data Analytics3,00
................ KV (*)Conceptual Data Modeling3,00
................ KV (*)Debugging3,00
................ KV (*)Engineering of AI-intensive Systems3,00
................ KV (*)Hardware Design4,50
................ VL (*)Information Displays3,00
................ KV (*)Information Visualization4,50
................ KV (*)Knowledge Based Systems3,00
................ UE (*)Learning from User-generated Data1,50
................ VL (*)Learning from User-generated Data3,00
................ UE (*)Machine Learning and Pattern Classification1,50
................ VL (*)Machine Learning and Pattern Classification3,00
................ KV (*)Mobile Computing3,00
................ UE (*)Model Checking1,50
................ VL (*)Model Checking3,00
................ KV (*)Multimedia Search and Retrieval4,50
................ KV (*)Parallel Computing4,50
................ KV (*)Principles of Cooperation4,50
................ KV (*)Principles of Interaction4,50
................ KV (*)SAT Solving3,00
................ KV (*)Semantic Data Modeling and Applications3,00
................ VL (*)Visual Analytics3,00
................ IK (*)Operations Research3,00
................ KS (*)Operations Research3,00
................ KV (*)Statistical Principles of Data Science6,00
................ SE Computational Logistics: Metaheuristiken6,00
................ SE Computational Logistics: Optimierung6,00
........ (*)Mathematics
................ VL (*)Automated Reasoning3,00
................ VL (*)Computer Analysis3,00
................ VL (*)Manyvalued Logic3,00
................ VL (*)Mathematical logic 13,00
................ VL (*)Inverse problems3,00
................ VL (*)Stochastic Processes3,00
................ UE (*)Computer Algebra for Concrete Mathematics1,50
................ VL (*)Computer Algebra for Concrete Mathematics3,00
................ KV Wahrscheinlichkeitstheorie und stochastische Prozesse3,00
................ UE Mathematik 31,50
................ VL Mathematik 34,50
................ KV Numerik und Optimierung6,00
................ VL Algorithmische Kombinatorik3,00
................ UE Automated Reasoning1,50
................ UE Computer Analysis1,50
................ UE Computer Algebra1,50
................ VL Computer Algebra3,00
................ UE Discrete and experimental mathematics1,50
................ VL Discrete and experimental mathematics3,00
................ VL Formales Modellieren3,00
................ UE Funktionalanalysis1,50
................ VL Funktionalanalysis4,50
................ UE Manyvalued Logic1,50
................ UE Inverse Probleme1,50
................ UE Klassische Harmonische Analysis1,50
................ VL Klassische Harmonische Analysis3,00
................ UE Markov Chains1,50
................ VL Markov Chains3,00
................ UE Mathematical logic 11,50
................ VL Mathematische Modelle in der Technik3,00
................ UE Numerik Partieller Differentialgleichungen3,00
................ VL Numerik Partieller Differentialgleichungen6,00
................ UE Optimierung1,50
................ VL Optimierung4,50
................ KV Programming project symbolic computation3,00
................ VL Rewriting in Computer Science and Logic3,00
................ VL Spezialvorlesung Funktionalanalysis (1,5 ECTS)1,50
................ VL Spezialvorlesung Funktionalanalysis3,00
................ VL Special Topics Numerical Analysis3,00
................ VL Special Topics Optimization3,00
................ VL Special Topics symbolic computation3,00
................ VL Special Topics Probability Theory and Mathematical Statistics (1.5 ECTS)1,50
................ VL Special Topics Probability Theory and Mathematical Statistics3,00
................ VL Spezialvorlesung Wissensbasierte mathematische Systeme3,00
................ UE Stochastic Processes1,50
................ UE Stochastic Simulation1,50
................ VL Stochastic Simulation3,00
................ VL Wissens- und Datenbasiertes Modellieren3,00
........ (*)Mechatronics
................ UE (*)Control Systems1,50
................ VL (*)Control Systems3,00
................ UE (*)Introduction to Autonomous Systems1,50
................ VL (*)Introduction to Autonomous Systems3,00
................ UE (*)Introduction to Robotic Systems1,50
................ VL (*)Introduction to Robotic Systems3,00
................ VL (*)Production Automation Systems3,00
................ 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
................ KV Übertragungstechnik3,00
................ UE Optimum and Adaptive Signal Processing Systems1,50
................ VL Optimum and Adaptive Signal Processing Systems3,00
................ UE Radar System Engineering1,50
................ VL Radar System Engineering3,00
................ PR Grundlagenpraktikum Robotik3,00
................ PR Regelungstechnik3,00
................ UE Regelungstheorie linearer Systeme3,00
................ VL Regelungstheorie linearer Systeme3,00
................ UE Signale und Systeme1,50
................ VL Signale und Systeme4,50
................ PR Fortgeschrittene Frequenzbereichsmethoden3,00
................ VL Fortgeschrittene Frequenzbereichsmethoden3,00
................ PR Fortgeschrittene Zustandsraummethoden3,00
................ VL Fortgeschrittene Zustandsraummethoden3,00
................ VL Medizintechnik 23,00
................ VL Medizintechnik3,00
........ (*)Life Sciences
................ UE (*)Artificial Intelligence in Life Sciences1,50
................ VL (*)Artificial Intelligence in Life Sciences1,50
................ KV (*)Genome Analysis & Transcriptomics3,00
................ KV (*)Structural Bioinformatics3,00
................ VL (*)Introduction to Genetics1,50
................ VL (*)Organic Chemistry 1 for Biological Chemistry4,50
................ UE (*)Sequence Analysis and Phylogenetics3,00
................ VL (*)Sequence Analysis and Phylogenetics3,00
................ UE Bioanalytics I1,50
................ VL Bioanalytics I3,00
................ UE Molekulare Biologie der Zelle I1,50
................ VL Molekulare Biologie der Zelle I3,00
................ KV Topics in Genetics & Evolution3,00
................ UE Medizinische Bildgebung1,50
................ VL Medizinische Bildgebung4,50
................ VU Advanced Topics of Molecular Biotechnologies3,00
................ VL (*)Biochemistry3,00
................ VL (*)Instrumental Analytical Chemistry3,00
................ VL (*)Introduction to Organic Chemistry3,00
................ VL (*)NMR Spectroscopy1,50
................ VL (*)Organic Chemistry 14,50
................ VL (*)Advanced NMR 11,50
................ VL Organische Chemie für Physik3,00
........ (*)Special Topics
................ KV (*)Special Topics in AI1,50
................ UE (*)Special Topics in AI1,50
................ VL (*)Special Topics in AI1,50
................ KV (*)Special Topics in AI3,00
................ UE (*)Special Topics in AI3,00
................ VL (*)Special Topics in AI3,00
................ KV (*)Special Topics in AI4,50
................ VL (*)Special Topics in AI4,50
................ SE (*)Special Topics in AI3,00
................ 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
........ (*)Miscellaneous
................ KS Einführung in Organisation3,00
................ KS Einführung in Veränderungs- und Innovationsmanagement3,00
................ KS Grundlagen der Betriebswirtschaftslehre3,00
................ KS Grundlagen des Supply Chain Management3,00
................ KV Projektorganisation3,00
................ KV Präsentations- und Arbeitstechnik3,00
................ VL Rechtsgrundlagen der Informatik3,00
................ VL Wirtschaftsgrundlagen der Informatik3,00
................ VL (*)Computer Forensics and IT Law3,00
................ VL (*)Literature Searching, Publishing and Patents1,50
................ KV (*)Scientific Writing and Presenting3,00
................ VL Thinking, Speaking, Writing3,00
................ KS Soziale und geschlechterspezifische Aspekte der IT3,00
................ VL Ethics and Gender Studies3,00
................ KV (*)Gender Studies Managing Equality TN3,00
(*)Master's Thesis Seminar3,00
........ SE (*)Master's Thesis Seminar3,00
(*)Free Electives12,00