Inhalt

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

Versionsauswahl
Overview ECTS Credits
AI Basics and Practical Training26,00
........ 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 AI8,00
........ SE Seminar in AI3,00
........ UE Artificial Intelligence1,50
........ VL Artificial Intelligence3,00
AI and Society10,50
........ Gender Studies3,00
................ 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 Science32,50
........ KV Basic Methods of Data Analysis3,00
........ UE Digital Signal Processing1,50
........ VL Digital Signal Processing3,00
........ KV Natural Language Processing3,00
........ UE Statistics for AI3,00
........ VL Statistics for AI3,00
........ UE Visual Analytics1,50
........ KV Computational Data Analytics3,00
........ KV Learning from User-generated Data4,50
........ VL Visual Analytics3,00
........ KV Computational Statistics4,00
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 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
................ KV Conceptual Data Modeling3,00
................ KV Debugging3,00
................ KV Emerging Computer Technologies4,50
................ 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 Algortithmic 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 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 topcis probability theory and mathematical statistics3,00
................ VL Special topics Knowledge-based Mathematical Systems3,00
................ UE Stochastic processes1,50
................ 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
................ UE Medical Imaging1,50
................ VL Medical Imaging4,50
................ KV Structural Bioinformatics3,00
................ UE Sequence Analysis and Phylogenetics3,00
................ VL Sequence Analysis and Phylogenetics3,00
................ VL Organic Chemistry 1 for Biological Chemistry4,50
................ 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 Chemistry for Physicist II3,00
........ 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
........ Miscellaneous
................ KV Project Management3,00
................ KV Techniques of Presentation and Team Work3,00
................ VL Law for Computer Science3,00
................ VL Economy for Computer Science3,00
................ VL Computer Forensics and IT Law3,00
................ VL Thinking, Speaking, Writing3,00
Bachelor's Thesis9,00
........ SE Bachelor’s Thesis Seminar in AI9,00
Free Electives9,00