Overview |
ECTS Credits |
AI Basics and Practical Training | 25,50 |
........ UE Hands-on AI II | 3,00 |
........ VL Hands-on AI II | 1,50 |
........ UE Hands-on AI I | 1,50 |
........ VL Hands-on AI I | 1,50 |
........ VL Introduction to AI | 3,00 |
........ PR Practical Work in AI | 7,50 |
........ SE Seminar in AI | 3,00 |
........ UE Artificial Intelligence | 1,50 |
........ VL Artificial Intelligence | 3,00 |
AI and Society | 10,50 |
........ Gender Studies | 3,00 |
................ KV Gender and Diversity in Computer Science and Engineering: Perspectives from Sociocultural Studies and Ethics | 3,00 |
................ KV Ethics and Gender Studies | 3,00 |
................ KV Gender Studies and Social Competence | 3,00 |
................ KV Introduction into Gender Studies in Science and Engineering | 3,00 |
................ KS Introduction to Society, Gender and Diversity in Information Technology | 3,00 |
........ KV Lecture Series Artificial Intelligence | 1,50 |
........ KV Responsible AI | 3,00 |
........ KV Technology and Society | 3,00 |
Computer Science | 18,00 |
........ UE Algorithms and Data Structures 1 | 1,50 |
........ VL Algorithms and Data Structures 1 | 3,00 |
........ UE Programming in Python II | 1,50 |
........ VL Programming in Python II | 1,50 |
........ UE Programming in Python I | 3,00 |
........ VL Programming in Python I | 3,00 |
........ UE Algorithms and Data Structures 2 | 1,50 |
........ VL Algorithms and Data Structures 2 | 3,00 |
Data Science | 33,00 |
........ UE Digital Signal Processing | 1,50 |
........ VL Digital Signal Processing | 3,00 |
........ UE Introduction to Computational Statistics | 1,50 |
........ VL Introduction to Computational Statistics | 3,00 |
........ KV Machine Learning: Basic Techniques | 3,00 |
........ UE Natural Language Processing | 1,50 |
........ VL Natural Language Processing | 1,50 |
........ UE Statistics for AI | 3,00 |
........ VL Statistics for AI | 3,00 |
........ KV Computational Data Analytics | 3,00 |
........ UE Learning from User-generated Data | 1,50 |
........ VL Learning from User-generated Data | 3,00 |
........ UE Visualization | 1,50 |
........ VL Visualization | 3,00 |
Knowledge Representation and Reasoning | 13,50 |
........ UE Computational Logics for AI | 1,50 |
........ VL Computational Logics for AI | 3,00 |
........ UE Formal Models | 1,50 |
........ VL Formal Models | 3,00 |
........ UE Logic | 1,50 |
........ VL Logic | 3,00 |
Machine Learning and Perception | 18,00 |
........ 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 Reinforcement Learning | 1,50 |
........ VL Reinforcement Learning | 3,00 |
........ UE Machine Learning and Pattern Classification | 1,50 |
........ VL Machine Learning and Pattern Classification | 3,00 |
Mathematics | 31,50 |
........ UE Mathematics for AI III | 3,00 |
........ VL Mathematics for AI III | 6,00 |
........ UE Mathematics for AI II | 3,00 |
........ VL Mathematics for AI II | 6,00 |
........ UE Mathematics for AI I | 3,00 |
........ VL Mathematics for AI I | 6,00 |
........ UE Numerical Optimization | 1,50 |
........ VL Numerical Optimization | 3,00 |
Area of Specialization | 12,00 |
........ Computer and Data Science | |
................ UE Computability and Complexity | 1,50 |
................ VL Computability and Complexity | 3,00 |
................ UE Databases and Information Systems 1 | 3,00 |
................ VL Databases and Information Systems 1 | 3,00 |
................ UE Databases and Information Systems 2 | 1,50 |
................ VL Databases and Information Systems 2 | 3,00 |
................ UE Embedded and Pervasive Systems | 1,50 |
................ VL Embedded and Pervasive Systems | 3,00 |
................ UE Software Development 1 | 3,00 |
................ VL Software Development 1 | 3,00 |
................ UE Software Development 2 | 3,00 |
................ VL Software Development 2 | 3,00 |
................ KV Advanced Interactive Visualization | 4,50 |
................ PR Computational Data Analytics | 1,50 |
................ KV Conceptual Data Modeling | 3,00 |
................ KV Debugging | 3,00 |
................ KV Hardware Design | 4,50 |
................ VL Information Displays | 3,00 |
................ KV Knowledge Based Systems | 3,00 |
................ KV Mobile Computing | 3,00 |
................ KV Multimedia Search and Retrieval | 4,50 |
................ VL Quantum Computing | 3,00 |
................ KV Semantic Data Modeling and Applications | 3,00 |
................ KV Statistical Principles of Data Science | 6,00 |
........ Mathematics | |
................ VL Computational Geometry | 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 |
................ VL Algorithmic Combinatorics | 3,00 |
................ UE Computational Geometry | 1,50 |
................ VL Formal Modelling | 3,00 |
................ UE Functional Analysis | 1,50 |
................ VL Functional Analysis | 4,50 |
................ UE Manyvalued Logic | 1,50 |
................ UE Fuzzy Systems | 1,50 |
................ VL Fuzzy Systems | 3,00 |
................ UE Ordinary differential equations and dynamical systems | 1,50 |
................ VL Ordinary differential equations and dynamical systems | 4,50 |
................ VL Manyvalued Logic | 3,00 |
................ UE Markov Chains | 1,50 |
................ VL Markov Chains | 3,00 |
................ UE Mathematical logic | 1,50 |
................ UE Optimization | 1,50 |
................ VL Optimization | 4,50 |
................ KV Practical in Symbolic Computation | 3,00 |
................ VL Special topics Knowledge-based Mathematical Systems | 3,00 |
................ VL Special Topics Optimization | 3,00 |
................ VL Special Topics symbolic computation | 3,00 |
................ VL Special Topics Probability Theory and Mathematical Statistics | 3,00 |
................ UE Stochastic Processes | 1,50 |
................ UE Probability theory and statistics | 3,00 |
................ VL Probability theory and statistics | 6,00 |
................ VL Knowledge and Data Based Modelling | 3,00 |
........ Mechatronics | |
................ UE Introduction to Electrical Engineering | 2,00 |
................ VL Introduction to Electrical Engineering | 3,00 |
................ PR Introduction to Electrical Engineering | 1,00 |
................ UE Signals and Systems | 1,50 |
................ VL Signals and Systems | 4,50 |
................ UE Engineering Mechanics 1 | 3,00 |
................ VL Engineering Mechanics 1 | 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 |
................ VU Advanced Topics of Molecular Biotechnologies | 3,00 |
................ VU Genomic Data Analysis | 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 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 | |
................ 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 |
Bachelor's Thesis | 9,00 |
........ SE Bachelor’s Thesis Seminar in AI | 9,00 |
Free Electives | 9,00 |