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Bachelorstudium Artificial Intelligence (UK 033/536)

Versionsauswahl
(*) Leider ist diese Information in Deutsch nicht verfügbar.
Übersicht ECTS Credits
(*)AI Basics and Practical Training26,00
........ KV (*)Hands-on AI II4,50
........ KV (*)Hands-on AI I3,00
........ 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 Ethik und Gender Studies3,00
................ KV Gender Studies und soziale Kompetenz3,00
................ KV (*)Introduction into Gender Studies in Science and Engineering3,00
................ KS Einführung in IKT, Gesellschaft, Gender und Diversity3,00
........ VL (*)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
........ KV (*)Programming in Python II3,00
........ KV (*)Programming in Python I6,00
........ UE Algorithmen und Datenstrukturen 21,50
........ VL Algorithmen und Datenstrukturen 23,00
(*)Data Science32,50
........ KV (*)Basic Methods of Data Analysis3,00
........ UE (*)Digital Signal Processing1,50
........ VL (*)Digital Signal Processing3,00
........ VL (*)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
........ KV (*)Reinforcement Learning4,50
........ KV Machine Learning and Pattern Classification4,50
(*)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
........ KV (*)Numerical Optimization4,50
(*)Area of Specialization12,00
........ (*)Computer and Data Science
................ UE Berechenbarkeit und Komplexität1,50
................ VL Berechenbarkeit und Komplexität3,00
................ UE Embedded and Pervasive Systems1,50
................ VL Embedded and Pervasive Systems3,00
................ UE Softwareentwicklung 13,00
................ VL Softwareentwicklung 13,00
................ UE Softwareentwicklung 23,00
................ VL Softwareentwicklung 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 Inverse Probleme3,00
................ VL Stochastische Prozesse3,00
................ VL Algorithmische Kombinatorik3,00
................ VL Berechenbarkeitstheorie3,00
................ UE Computational Geometry1,50
................ VL Computational Geometry3,00
................ UE Computer Algebra for Concrete Mathematics1,50
................ VL Computer Algebra for Concrete Mathematics3,00
................ VL Entscheidbare logische Theorien3,00
................ VL Formales Modellieren3,00
................ VL Formal Semantics of Programming Languages3,00
................ UE Funktionalanalysis1,50
................ VL Funktionalanalysis4,50
................ KV Funktionales Programmieren3,00
................ UE Fuzzy Logic1,50
................ VL Fuzzy Logic3,00
................ UE Fuzzy Systems1,50
................ VL Fuzzy Systems3,00
................ UE Inverse Probleme1,50
................ KV Logisches Programmieren3,00
................ UE Markov-Ketten1,50
................ VL Markov-Ketten3,00
................ UE Optimierung1,50
................ VL Optimierung4,50
................ VL Rewriting in Computer Science and Logic3,00
................ VL Spezialvorlesung Optimierung3,00
................ VL Spezialvorlesung Symbolisches Rechnen3,00
................ VL Spezialvorlesung Wahrscheinlichkeitstheorie und Mathematische Statistik3,00
................ VL Spezialvorlesung Wissensbasierte mathematische Systeme3,00
................ UE Stochastische Prozesse1,50
................ VL Wissens- und Datenbasiertes Modellieren3,00
........ (*)Mechatronics
................ UE Automatisierungstechnik 11,25
................ VL Automatisierungstechnik 13,00
................ UE Automatisierungstechnik 21,25
................ VL Automatisierungstechnik 23,00
................ UE Signale und Systeme 11,25
................ VL Signale und Systeme 14,50
................ UE Signale und Systeme 21,25
................ VL Signale und Systeme 23,00
................ VL Digitale Bildverarbeitung3,00
................ VL Medizintechnik 23,00
................ VL Medizintechnik3,00
........ (*)Life Sciences
................ KV (*)Artificial Intelligence in Life Sciences3,00
................ 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 Molekulare Biologie der Zelle I1,50
................ VL Molekulare Biologie der Zelle 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 (*)Organic Chemistry 14,50
................ VL (*)Advanced NMR 11,50
................ VL Chemie für Physiker 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 Projektorganisation3,00
................ KV Präsentations- und Arbeitstechnik3,00
................ VL Rechtsgrundlagen für Informatiker3,00
................ VL Wirtschaftsgrundlagen für Informatiker3,00
................ 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