Studienhandbuch | Artificial Intelligence

Inhalt

Masterstudium Artificial Intelligence (UK 066/993)

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Übersicht	ECTS Credits
*^()Machine Learning and Perception**	34,50
........ UE ^(*)AI and Visualization	1,50
........ VL ^(*)AI and Visualization	1,50
........ 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 ^(*)LSTM and Recurrent Neural Nets	1,50
........ VL ^(*)LSTM and Recurrent Neural Nets	3,00
........ UE ^(*)Machine Learning: Advanced Techniques	1,50
........ VL ^(*)Machine Learning: Advanced Techniques	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 Berechenbarkeit und Komplexität	1,50
........................ VL Berechenbarkeit und Komplexität	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 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 Wahrscheinlichkeitstheorie und stochastische Prozesse	3,00
........................ UE Mathematik 3	1,50
........................ VL Mathematik 3	4,50
........................ KV Numerik und Optimierung	6,00
........................ UE Classical harmonic analysis	1,50
........................ VL Classical harmonic analysis	3,00
........................ UE Discrete Mathematics	1,50
........................ UE Markov Chains	1,50
........................ VL Markov Chains	3,00
........................ VL Mathematische Modelle in der Technik	3,00
........................ UE Numerik von Differentialgleichungen	3,00
........................ VL Numerik von Differentialgleichungen	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**
................ 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
................ KV ^(*)Machine Learning: Basic Techniques	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 Berechenbarkeit und Komplexität	1,50
................ VL Berechenbarkeit und Komplexität	3,00
................ UE Softwareentwicklung 2	3,00
................ VL Softwareentwicklung 2	3,00
................ KV ^(*)Advanced Interactive Visualization	4,50
................ 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 ^(*)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 ^(*)Visualization	1,50
................ VL ^(*)Visualization	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	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 Wahrscheinlichkeitstheorie und stochastische Prozesse	3,00
................ UE Mathematik 3	1,50
................ VL Mathematik 3	4,50
................ KV Numerik und Optimierung	6,00
................ VL Algorithmische Kombinatorik	3,00
................ UE Classical harmonic analysis	1,50
................ VL Classical harmonic analysis	3,00
................ UE Computer Algebra	1,50
................ VL Computer Algebra	3,00
................ UE Discrete Mathematics	1,50
................ VL Formales Modellieren	3,00
................ UE Funktionalanalysis	1,50
................ VL Funktionalanalysis	4,50
................ UE Manyvalued Logic	1,50
................ VL Manyvalued Logic	3,00
................ UE Markov Chains	1,50
................ VL Markov Chains	3,00
................ UE Mathematical logic	1,50
................ VL Mathematische Modelle in der Technik	3,00
................ UE Numerik von Differentialgleichungen	3,00
................ VL Numerik von Differentialgleichungen	6,00
................ UE Optimierung	1,50
................ VL Optimierung	4,50
................ VL Special Topics Functional analysis (1,5 ECTS)	1,50
................ VL Special Topics Functional analysis	3,00
................ VL Special topics Knowledge-based Mathematical Systems	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
................ UE Stochastic Processes	1,50
................ UE Stochastic Simulation	1,50
................ VL Stochastic Simulation	3,00
................ VL Wissens- und Datenbasiertes Modellieren	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 Übertragungstechnik	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 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
................ PR Fortgeschrittene Frequenzbereichsmethoden	3,00
................ VL Fortgeschrittene Frequenzbereichsmethoden	3,00
................ PR Fortgeschrittene Zustandsraummethoden	3,00
................ VL Fortgeschrittene Zustandsraummethoden	3,00
................ KV Introduction to autonomous vehicles	6,00
................ VL Medizintechnik 2	3,00
................ VL Medizintechnik	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 Molekulare Biologie der Zelle I	1,50
................ VL Molekulare Biologie der Zelle I	3,00
................ UE Medizinische Bildgebung	1,50
................ VL Medizinische Bildgebung	4,50
................ VU Advanced Topics of Molecular Biotechnologies	3,00
................ VU Genomische Datenanalyse	6,00
................ 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
................ KV ^(*)Understanding NMR spectroscopy	3,00
................ 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
................ 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