Inhalt

Bachelor's programme Artificial Intelligence (UK 033/536)

Versionsauswahl
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Overview ECTS Credits
AI Basics and Practical Training25,50
........ UE Hands-on AI II3,00
........ VL Hands-on AI II1,50
........ UE Hands-on AI I1,50
........ VL Hands-on AI I1,50
........ VL Introduction to AI3,00
........ PR Practical Work in AI7,50
........ SE Seminar in AI3,00
........ UE Artificial Intelligence1,50
........ VL Artificial Intelligence3,00
AI and Society10,50
........ Gender Studies3,00
................ KV Gender and Diversity in Computer Science and Engineering: Perspectives from Sociocultural Studies and Ethics3,00
................ KV Ethics and Gender Studies3,00
................ KV Gender Studies and Social Competence3,00
................ KV Introduction into Gender Studies in Science and Engineering3,00
................ KS Introduction to Society, Gender and Diversity in Information Technology3,00
........ KV Lecture Series Artificial Intelligence1,50
........ KV Responsible AI3,00
........ KV Technology and Society3,00
Computer Science18,00
........ UE Algorithms and Data Structures 11,50
........ VL Algorithms and Data Structures 13,00
........ UE Programming in Python II1,50
........ VL Programming in Python II1,50
........ UE Programming in Python I3,00
........ VL Programming in Python I3,00
........ UE Algorithms and Data Structures 21,50
........ VL Algorithms and Data Structures 23,00
Data Science33,00
........ KV Basic Methods of Data Analysis3,00
........ UE Digital Signal Processing1,50
........ VL Digital Signal Processing3,00
........ UE Introduction to Computational Statistics1,50
........ VL Introduction to Computational Statistics3,00
........ UE Natural Language Processing1,50
........ VL Natural Language Processing1,50
........ UE Statistics for AI3,00
........ VL Statistics for AI3,00
........ UE Visual Analytics1,50
........ KV Computational Data Analytics3,00
........ UE Learning from User-generated Data1,50
........ VL Learning from User-generated Data3,00
........ VL Visual Analytics3,00
Knowledge Representation and Reasoning13,50
........ UE Computational Logics for AI1,50
........ VL Computational Logics for AI3,00
........ UE Formal Models1,50
........ VL Formal Models3,00
........ UE Logic1,50
........ VL Logic3,00
Machine Learning and Perception18,00
........ 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 Reinforcement Learning1,50
........ VL Reinforcement Learning3,00
........ UE Machine Learning and Pattern Classification1,50
........ VL Machine Learning and Pattern Classification3,00
Mathematics31,50
........ UE Mathematics for AI III3,00
........ VL Mathematics for AI III6,00
........ UE Mathematics for AI II3,00
........ VL Mathematics for AI II6,00
........ UE Mathematics for AI I3,00
........ VL Mathematics for AI I6,00
........ UE Numerical Optimization1,50
........ VL Numerical Optimization3,00
Area of Specialization12,00
........ Computer and Data Science
................ UE Computability and Complexity1,50
................ VL Computability and Complexity3,00
................ UE Databases and Information Systems 13,00
................ VL Databases and Information Systems 13,00
................ UE Databases and Information Systems 21,50
................ VL Databases and Information Systems 23,00
................ UE Embedded and Pervasive Systems1,50
................ VL Embedded and Pervasive Systems3,00
................ UE Software Development 13,00
................ VL Software Development 13,00
................ UE Software Development 23,00
................ VL Software Development 23,00
................ PR Computational Data Analytics1,50
................ KV Conceptual Data Modeling3,00
................ KV Debugging3,00
................ KV Hardware Design4,50
................ VL Information Displays3,00
................ KV Information Visualization4,50
................ KV Knowledge Based Systems3,00
................ KV Mobile Computing3,00
................ KV Multimedia Search and Retrieval4,50
................ KV Semantic Data Modeling and Applications3,00
................ KV Statistical Principles of Data Science6,00
........ Mathematics
................ 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
................ VL Algorithmic Combinatorics3,00
................ VL Computability theory3,00
................ UE Computational Geometry1,50
................ VL Computational Geometry3,00
................ UE Computer Analysis1,50
................ VL Formal Modelling3,00
................ VL Formal Semantics of Programming Languages3,00
................ UE Functional Analysis1,50
................ VL Functional Analysis4,50
................ UE Manyvalued Logic1,50
................ UE Fuzzy Systems1,50
................ VL Fuzzy Systems3,00
................ UE Ordinary differential equations and dynamical systems1,50
................ VL Ordinary differential equations and dynamical systems4,50
................ UE Inverse problems1,50
................ UE Markov Chains1,50
................ VL Markov Chains3,00
................ UE Mathematical logic 11,50
................ UE Optimization1,50
................ VL Optimization4,50
................ KV Practical in Logic and Software Design3,00
................ KV Programming project symbolic computation3,00
................ VL Rewriting in Computer Science and Logic3,00
................ VL Special Topics Optimization3,00
................ VL Special Topics symbolic computation3,00
................ VL Special Topics Probability Theory and Mathematical Statistics3,00
................ VL Special topics Knowledge-based Mathematical Systems3,00
................ UE Stochastic Processes1,50
................ UE Probability theory and statistics3,00
................ VL Probability theory and statistics6,00
................ VL Knowledge and Data Based Modelling3,00
........ Mechatronics
................ UE Introduction to Electrical Engineering3,00
................ VL Introduction to Electrical Engineering3,00
................ UE Signals and Systems1,50
................ VL Signals and Systems4,50
................ UE Engineering Mechanics 13,00
................ VL Engineering Mechanics 13,00
........ 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 Phylogenetics ((*))
................ VL Sequence Analysis and Phylogenetics ((*))
................ UE Bioanalytics I1,50
................ VL Bioanalytics I3,00
................ UE Molecular biology of the cell I1,50
................ VL Molecular biology of the cell I3,00
................ KV Topics in Genetics & Evolution3,00
................ 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 Organic Chemistry for Physics3,00
........ 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
................ VL Law for Computer Science3,00
................ VL Economy for Computer Science3,00
................ 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
Bachelor's Thesis9,00
........ SE Bachelor’s Thesis Seminar in AI9,00
Free Electives9,00