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AI Master - Coggle Diagram
AI Master
MAIN TRUNK
11212 Statistics English 6
Recommended Prerequisites: Knowledge of subject matters from the modules
11111: Mathematics of Engineering II
11110: Mathematics of Engineering I
11859 Cryptography English 8 80
11881 Foundations of Data Mining English 6
Recommended Prerequisites: The module cannot be successfully completed without knowledge of the content of
11113 Mathematik IT-2 (Lineare Algebra)
11112 Mathematik IT-1 (Diskrete Mathematik)
Mandatory Prerequisites:
No successful participation in module 12351 Grundlagen des Data Mining.
11886 Dependability and Fault Tolerance English 6
Recommended Prerequisites: Basic knowledge in digital design, electrical engineering and integrated electronics.
Mandatory Prerequisites: No successful participation in module
12476 Zuverlässigkeit und Fehlertoleranz.
12826 Mathematical Data Science English 8
12973 Network and System Security English 6
13220 Modeling in Mixed-Integer Optimization English 8
Recommended Prerequisites:
Knowledge in linear and mixed-integer optimization, e.g. knowledge of the content of module 11312 : Optimization I
module 11322 : Optimization Methods in Operations Research
Mandatory Prerequisites:
No successful participation in German speaking module 12701 - Gemischt-ganzzahlige Modellbildung.
13335 Brain-Computer Interfaces (BCIs) for Neuroadaptive Technology English 6
Recommended Prerequisites: None
Mandatory Prerequisites:
13942: Foundations of Psychophysiology
13490 Secure Cyber-Physical Systems English 6
13500 Introduction to Neural Signal Analysis English 6
Recommended Prerequisites: 11112 Mathematik IT-1 (Diskrete Mathematik)
11113 Mathematik IT-2 (Lineare Algebra)
11213 Mathematik IT-3 (Analysis)
11756 Algorithmen und Datenstrukturen
Mandatory Prerequisites: None
13569 Biological Neuronal Networks English 6
Recommended Prerequisites: Mathematics IT-1 (Discrete Mathematics)
Mathematics IT-2 (Linear Algebra)
Mathematics IT-3 (Analysis)
11756 : Algorithms and Data Structures, or 12101 : Algorithmieren und Programmieren
Mandatory Prerequisites:None
13593 Applied Algebraic Quantum Theory English 6
None of them
13668 Sensorimotor Processing in Health and Disease English 6
Recommended Prerequisites: 11112 Mathematik IT-1 (Diskrete Mathematik)
11113 Mathematik IT-2 (Lineare Algebra)
11213 Mathematik IT-3 (Analysis)
11756 Algorithmen und Datenstrukturen
Mandatory Prerequisites: None
13715 Causal Data Science in Business and Economics English 6
13813 Logic in Databases English 8
13838 Information Retrieval English 6
13839 Advanced Database Models English 6
13840 Data Warehouses English 6
13841 Speech Processing English 6
None of them
13842 Virtual Reality and Agents English 6
Recommended Prerequisites: 12311 Grundzüge der Computergrafik
Mandatory Prerequisites: None
13843 Scientific Computing English 8
Recommended Prerequisites: 11925 Grundlagen der Numerischen Mathematik
11943 Grundlagen des Wissenschaftlichen Rechnens
11414 Funktionentheorie und Partielle Differentialgleichungen
as well as programming skills, typically Matlab and C / Fortran
Mandatory Prerequisites: None
13844 Functional Analysis English 8
Recommended Prerequisites: 11103 Analysis I
11104 Analysis II
11201 Analysis III
Mandatory Prerequisites: None
13845 Multimedia Retrieval English 6
13846 Learning in Real and Virtual Humans English 6
None of them
13847 Cognitive Systems: Behavior Control English 6
Recommended Prerequisites: 11744 Kognitive Systeme: Perzeption und Aktion
Mandatory Prerequisites: None
13849 Introduction to Computational Neuroscience English 6
Recommended Prerequisites: 11112 Mathematik IT-1 (Diskrete Mathematik)
11113 Mathematik IT-2 (Lineare Algebra)
11213 Mathematik IT-3 (Analysis)
11756 Algorithmen und Datenstrukturen, or 12101 Algorithmieren und Programmieren
Mandatory Prerequisites: None
13863 Mathematical Statistics English 8
Recommended Prerequisites: 11217: Probability Theory
Mandatory Prerequisites: No successful participation in module 11331 - Mathematische Statistik.
13866 Seminar English 4
Recommended Prerequisites: Solid knowledge in the field of the seminar
13874 Introduction to Numerical Linear Algebra English 6
Recommended Prerequisites: Basic knowledge of mathematics as conveyed by mathematical courses in computer science or engineering from the first three to four semesters, e.g.:
Module 11101 Lineare Algebra und analytische Geometrie I, and
Module 11103 Analysis I
or
Module 11112 Mathematik IT-1 (Diskrete Mathematik)
Module 11113 Mathematik IT-2 (Lineare Algebra)
Module 11213 Mathematik IT-3 (Analysis)
or
Module Höhere Mathematik - T1
Module 11108 Höhere Mathematik - T2
Module 11206 Höhere Mathematik - T3
Mandatory Prerequisites: none
13889 Stochastic Processes English 8
Recommended Prerequisites: 11217 Wahrscheinlichkeitstheorie
Mandatory Prerequisites: None
13906 Data Exploration and System Management Using Artificial Intelligence / Machine Learning English 6
Recommended Prerequisites:: Knowledge of mathematics, especially statistics
Mandatory Prerequisites: None
13908 Experimental Techniques in Physics Supported with Artificial Intelligence / Machine Learning English 6
Recommended Prerequisites: Knowledge of mathematics, especially statistics
Mandatory Prerequisites: none
13911 Algebra: Structures and Algorithms English 6
Recommended Prerequisites: 11101: Lineare Algebra und analytische Geometrie I
or
11112: Mathematik IT-1 (Diskrete Mathematik), and
11113: Mathematik IT-2 (Lineare Algebra)
Mandatory Prerequisites: None
13912 Coding Theory English 6
Recommended Prerequisites: 11101: Lineare Algebra und analytische Geometrie I
or
11112: Mathematik IT-1 (Diskrete Mathematik), and
11113: Mathematik IT-2 (Lineare Algebra)
Mandatory Prerequisites: None
13942 Foundations of Psychophysiology English 6
None of them
13949 Differential Geometry English 6
Recommended Prerequisites:
11103: Analysis I
11104: Analysis II
11101: Lineare Algebra und analytische Geometrie I
Mandatory Prerequisites: None
13963 Neuromorphic Computing and Engineering English 6
Recommended Prerequisites: Basic knowledge in physics
Mandatory Prerequisites: None
13969 Introduction to Cyber Security English 6
13978 Bioinformatics: Artificial Intelligence and Algorithmic Approaches English 6
Recommended Prerequisites: Basic knowledge of probability and statistics, algorithms and data structures at the undergraduate level
Introduction to machine learning at Master’s level
Working knowledge of Python
Knowledge of the contents of module 14336 Introduction to Bioinformatics
Mandatory Prerequisites:None
13979 Artificial Intelligence for Drug Design English 4
Recommended Prerequisites: Working knowledge of probability/statistics and modern machine learning methods.
Mandatory Prerequisites: None
14013 Conversational Artificial Intelligence: History, Application, Future English 4
Recommended Prerequisites:Basic knowledge of Python
Basic knowledge of machine learning
Mandatory Prerequisites: None
14015 Introduction to Mathematical Methods in Artificial Intelligence English 6
Recommended Prerequisites: 11113 Mathematik IT-2 (Lineare Algebra)
11213 Mathematik IT-3 (Analysis)
Mandatory Prerequisites: None
14021 Explainable Machine Learning English 6
Recommended Prerequisites: Basic knowledge of programming and machine learning
Mandatory Prerequisites: 11881: Foundations of Data Mining
or
12351: Grundlagen des Data Mining
14023 Modeling of Perception and Action English 6
Recommended Prerequisites: 11112 Mathematik IT-1 (Diskrete Mathematik)
11113 Mathematik IT-2 (Lineare Algebra)
11213 Mathematik IT-3 (Analysis)
11756 Algorithmen und Datenstrukturen
Mandatory Prerequisites:None
14034 Languages of Artificial Intelligence English 6
None of them
14038 Computing at Scale in Machine Learning: Distributed Computing and Algorithmic Approaches English 6
Recommended Prerequisites: Knowledge of probability, algorithms and data structures at the undergraduate level
Introduction to machine learning at Master’s level
Advanced knowledge of programming in Python and the Linux command line
Mandatory Prerequisites: None
14051 Programming Languages and Techniques for Artificial Intelligence Laboratory English 4
Recommended Prerequisites: profound knowledge in programming
Mandatory Prerequisites: None
14060 Research Module in Artificial Intelligence English 6
Recommended Prerequisites: None
Mandatory Prerequisites: At least 54 credit points in mandatory electives from the program catalog
14085 Graph Theory English 8
Recommended Prerequisites: 11101: Lineare Algebra und analytische Geometrie I
11102: Lineare Algebra und analytische Geometrie II
or
11112: Mathematik IT-1 (Diskrete Mathematik)
11113: Mathematik IT-2 (Lineare Algebra)
Mandatory Prerequisites: No successful participation in module 11415 Graphtheorie
14186 Image Processing and Computer Vision English 6
Recommended Prerequisites: 11113 Mathematik IT-2 (Lineare Algebra)
11213 Mathematik IT-3 (Analysis)
Mandatory Prerequisites: None
14336 Introduction to Bioinformatics English 6
Recommended Prerequisites: Good knowledge of discrete probability, algorithms and data structures at the undergraduate level. Advanced knowledge of programming in Python and the Linux command line.
Mandatory Prerequisites: None
11847 Neural Networks and Learning Theory English 8
Mandatory Prerequisites: No successful participation in associated phase-out module 12450 Neuronale Netze und Lerntheorie.
Recommended Prerequisites: Basic knowledge both concerning optimality criteria in differentiable optimization and probability theory are advisable, but will be treated briefly in the course.
11213: Mathematik IT -3 (Analysis)
13868 Seminar English 4
Mandatory Prerequisites: None
13869 Laboratory English 6
None of them
13867 Seminar English 4