Machine Learning and Generative AI

Data Storage and Processing 1 | () | Coursecode: M250807105

Databases and Query Languages

5.00

ECTS

3.00

SWS

Introduction and basic concepts – Overview of database models – Database architectures – Data security – … Relational databases – Basic concepts of the relational data model – Structured Query Language (SQL) – Import/export of datasets – Data integrity, normal forms and denormalisation – Access control and user administration – Advanced topics in relational databases – … Overview of non-relational databases – Key-value databases and document-oriented databases – Multidimensional databases – …

Data Storage and Processing 2 | () | Coursecode: M250807106

Programming and Data Processing

5.00

ECTS

3.00

SWS

Programming / Scripting – Programming paradigms – Basics of programming and scripting – Operators and control structures – Functions and libraries – Regular expressions – … Data-based applications – Importing and exporting data – Elementary data handling – … Tools – Version control systems – Clean coding and debugging – Integrated development environments – …

Introduction and Foundations 1 | () | Coursecode: M250807101

Introduction to Data Science and Artificial Intelligence

2.50

ECTS

1.50

SWS

Introduction to Data Science and Artificial Intelligence – Overview of the field – Possible applications and areas of use – Social and legal context – Future perspectives – … Basic terms and overview of data science and artificial intelligence – Basic terms of data science and artificial intelligence – Overview of important methods – Biases and metrics – … Tools for data science and artificial intelligence – Overview of IT infrastructures – Overview of tools and frameworks – Overview of scripting and programming languages – Overview of software stacks and development methods …

Introduction and Foundations 1 | () | Coursecode: M250807102

Quick Guide to Machine Learning

2.50

ECTS

1.50

SWS

Examples of unsupervised learning – Practical introductory examples from the field of clustering – Practical introductory examples from the field of dimensionality reduction – … Examples of Supervised Learning – Practical examples from the field of classification – Practical introductory examples from the field of regression – …

Introduction and Foundations 2 | () | Coursecode: M250807103

Probability Theory and Descriptive Statistics

5.00

ECTS

3.00

SWS

Descriptive statistics – Basic terms and areas of application of statistics – Frequencies, frequency distributions and empirical distribution functions – Parameters of empirical distributions – Multivariate empirical distributions – Visualisation of statistical data – … Probability theory – Basic terms of probability theory – Conditional probabilities and Bayes’ theorem – Basic terms of combinatorics – One and multidimensional random variables – Important discrete and continuous univariate distributions – Limit theorems and approximation of distributions – … Introduction to Bayes statistics – A-priori and A-posteriori distributions – Update and analysis of distributions for parameters – …

Introduction and Foundations 3 | () | Coursecode: M250807104

Modelling and Numerical Simulations

5.00

ECTS

3.00

SWS

Modeling and simulation – Basic concepts of systems, modeling and simulation – Mathematical foundation of modeling and simulation – Overview of modeling and simulation types – … Graph theory – Basic concepts of graphs – Characteristics and parameters of graphs – Main types of graphs and networks – … System dynamics – Causal graphs, pulse models and Markov chains – Fundamentals of cybernetics and control engineering – Ordinary differential equation systems and numerical integration – … Monte Carlo simulations – Basic concepts of Monte Carlo simulations – Usage of Monte Carlo simulations for forecasting – …

Refresher of Foundations | () | Coursecode: M250807109

Refresher on Information Technology

2.50

ECTS

1.50

SWS

Hardware – Central components of a computer – Bus systems and peripherals as well as processor architectures – Information processing and information encoding – … Operating systems – Families of operating systems and their structure – Process and storage management – File systems and object storage – … Networks – Introduction to the functioning of networks – Introduction to the terminology of networks – OSI layer model and TCP/IP – Interface protocols – … Cryptography – Basic concepts of cryptography – Symmetric and asymmetric cryptographic methods – …

Refresher of Foundations | () | Coursecode: M250807107

Refresher on Mathematics

2.50

ECTS

1.50

SWS

Basic mathematical concepts – Set theory and number sets – Calculating in the complex number system – Elementary functions – … Elementary analysis – Differential calculus, curve sketching and extreme value problems – Fundamentals of integral calculus – … Basic concepts of linear algebra – Vectors, matrices and tensors – Determinants and solutions of linear systems of equations – Eigenvalues and Eigenvectors – …

Refresher of Foundations | () | Coursecode: M250807108

Refresher on Unix Shells and LaTeX

2.50

ECTS

1.50

SWS

Basics of unixoid operating systems – Introduction to text-based shells – File types and data compression – File systems and permissions – Processes and jobs – Important tools of unixoid shells – Shell scripting – … Text manipulation – Elementary tools and pipes – Regular expressions – Important editors – … LaTeX markup language – Commands and environments – Document classes and page styles – Mathematical formulas – …

Computational Intelligence 1 | () | Coursecode: M250807202

Data Mining and Statistical Learning

5.00

ECTS

3.00

SWS

Basics of multivariate statistics – Repetition of matrix algebra – Multivariate observations and distributions – Covariance, correlation and distance matrices – … Methods of supervised learning – Simple and multiple linear regression – Regularization methods – Methods based on latent variables – Decision trees and related methods – Logistic regression – Linear and squared discriminant analysis – Naive-Bayes-classifier – K-Nearest-Neighbor Classification – … Methods of Unsupervised Learning – Methods of Cluster analysis – Dimension reduction – … Further topics – Optimization and validation of prediction models – Advanced forms of visualization – …

Computational Intelligence 1 | () | Coursecode: M250807203

Numerics and Computational Optimisation

2.50

ECTS

1.50

SWS

Technical numerics – Reduction of numerical errors – Numerical solution of equation systems – Numerical differentiation and numerical integration – Numerical solution of ordinary differential equation systems – … Numerical optimization – Fundamental aspects of optimization tasks – Linear programming – Nonlinear optimization with constraints – Multi-criteria optimization – …

Computational Intelligence 2 | () | Coursecode: M250807204

Machine Learning with Artificial Neural Networks

5.00

ECTS

3.00

SWS

Basics and tools of artificial neural networks – Artificial neurons, activation functions, layers (esp. MLP) – Backpropagation and error minimisation – Introduction to common technical frameworks – Areas of application and limitations – … Architectures of artificial neural networks – Overview of further architectural building blocks – Recurrent Networks – Convolutional Networks – Autoencoder Networks – … Selected simple application areas – Text analysis – Image and video analysis – Audio and signal analysis – …

Data Storage and Processing 3 | () | Coursecode: M250807201

Data Quality and Data Fusion

5.00

ECTS

3.00

SWS

Data preparation – Data type conversion and normalisation – Analysis of data quality and detection of anomalies – Singular and multiple imputation – Anonymisation and hashing of data – … Preparation of complex data – Special features of audio, image, video and signal data – Transformations and discretisation of continuous data – … Data merging and feature engineering – Complex filtering and sorting of data – Aggregations and transformations of data – Feature selection methods – … Pipelining and data lifecycle management – Basic terms and overview of frameworks – Design and implementation of pipelines – Basic elements of data lifecycle management – …

Interdisciplinary Qualifications 1 | () | Coursecode: M250807205

Project Management and Scientific Writing

2.50

ECTS

1.50

SWS

Basics of project management – Basic concepts and tools – Elements of classic project management – Agile project management – Work techniques and time management – … Research processes – Important theories and schools of thought in the philosophy of science – Overview of scientific research methods – Research and scientific excerpting – Research questions, hypotheses, research projects – Analysis, publication and presentation of findings – … Basics of scientific writing – Formulation, structuring, formatting and visualization – Reference management, property rights and ethical principles – Quality assurance or reviews and peer reviews – Publication platforms, rankings and impact factors – … Consolidation of one’s own Master’s thesis – Finding a topic for one’s own Master’s thesis – Deriving research questions for one’s own Master’s thesis – …

Machine Learning and Generative AI 1 | () | Coursecode: M250807209

High Performance Computing and Cloud Computing

5.00

ECTS

3.00

SWS

High Performance Computing – Overview and definitions of terms – Processor architectures (CPU, GPU, TPU, …) – Relevant API technologies and microservices architectures – Vertical vs. horizontal scaling – … Virtualisation – Overview and types of virtualisation – Hardware virtualisation incl. orchestration – Container virtualisation incl. orchestration – … Cluster frameworks – Hyper-converged infrastructure – Scalable data analysis frameworks – Introduction to operations and high availability – … Cloud Computing – Overview, providers and definitions of terms – Cloud computing service models (XaaS) – Scalable data management – Architecture management and security management – Integration of cloud services for data analysis – Automation, monitoring and cost management – Selected services for data science and AI – …

Machine Learning and Generative AI 2 | () | Coursecode: M250807210

Game Theory and Gaming AI

2.50

ECTS

1.50

SWS

Decision Theory – Preferences and utility functions – Decision situations with risk – Decision situations with uncertainty – … Game theory – Cooperative and non-cooperative games – Games with complete or incomplete information – Static vs. dynamic and repeated games – Solution concepts of game theory – … Stochastic models – Markov decision problems – Monte Carlo approaches – Monte Carlo tree search – …

Machine Learning and Generative AI 2 | () | Coursecode: M250807211

Introduction to Probabilistic and Generative AI

2.50

ECTS

1.50

SWS

Basics of Generative AI – Historical development – Basic idea and basic concepts – Status quo and challenges – … Probabilistic machine learning – Bayes’ theorem as an update rule – Product rule and Bayesian networks – Learning from distributions – … Inference in probabilistic models: – Approximation approaches (Laplace approximation, variational approaches, …) – Markov chain Monte Carlo method – …

Master's Thesis and Master's Examination 1 | () | Coursecode: M250807301

Master's Thesis Exposé

5.00

ECTS

1.00

SWS

Iterative writing of the exposé for the Master’s thesis – Presentation of the problem and the research questions – Presentation of the methodology and the planned approach – Comprehensive presentation of the relevant literature and previous scientific work – Observance of norms, standards, templates and guidelines of the degree program – … Presentation of the contents of the exposé – Scientific presentation according to templates and specifications of the degree program – Discussion and defense of the planned procedure – Revision of the exposé based on the feedback and peer reviews received – …

Elective Lab Course | () | Coursecode: M250807322

Augmented and Virtual Reality Lab

5.00

ECTS

2.00

SWS

Fundamentals of augmented and virtual reality – Fundamentals of augmented reality and virtual reality – Discussion of current developments – … Implementation of projects in the field of augmented and virtual reality – Analysis of given requirements – Development of different solution strategies – Planning, development and programming of an AR or VR project – Management and controlling of the project and project progress – Collaboration within the team including any conflict resolution – … Project documentation and dissemination of project results – Creation of project documentation based on norms, standards and specifications – Presentation and discussion of project progress and project results – …

Elective Lab Course | () | Coursecode: M250807320

Distributed Computing and Federated Learning

5.00

ECTS

2.00

SWS

Fundamentals of distributed computing and federated learning – Fundamentals of distributed computing and federated learning – Discussion of current developments – … Implementation of projects in the field of distributed computing and federated learning – Analysis of given requirements – Development of different solution strategies – Planning, implementation, management and controlling of the project or project progress – Collaboration in the team incl. possible conflict resolution – … Project documentation and dissemination of project results – Creation of project documentation based on norms, standards and specifications – Presentation and discussion of project progress and project results – …

Elective Lab Course | () | Coursecode: M250807321

Tangible UI/UX Lab

5.00

ECTS

2.00

SWS

Fundamentals of tangible UI/UX – Fundamentals of tangible user interfaces and UI/UX design – Discussion of current developments – Selected basics of microelectronics – … Implementation of projects in the field of tangible UI/UX – Analysis of given requirements – Development of different solution strategies – Planning, development and programming of a tangible UI/UX project – Management and controlling of the project or project progress – Collaboration in the team incl. possible conflict resolution – … Project documentation and dissemination of project results – Creation of project documentation based on norms, standards and specifications – Presentation and discussion of project progress and project results – …

Machine Learning and Generative AI 3 | () | Coursecode: M250807308

Advanced Machine Learning Methods

5.00

ECTS

1.50

SWS

Requirements and methods for Explainable AI – Explainable AI vs. black-box AI – Model-related vs. model-agnostic explainability – … State-of-the-art machine learning methods – Recent developments in the field – Discussion and application of current procedures and methods – …

Machine Learning and Generative AI 3 | () | Coursecode: M250807309

Reinforcement Learning and MARL

2.50

ECTS

1.50

SWS

Fundamentals of agent-based programming – Cellular automata, self-organisation and emergences – Characteristics of agents and agent-based models – Introduction to the design and programming of simple agent-based models – … Reinforcement Learning – Basic concepts and overview of methods – Temporal Difference Learning (Q-Learning, SARSA, …) – Selected frameworks, packages and libraries – … Basics of Multi-Agent Reinforcement Learning (MARL) – Basic concepts and fundamentals of MARL – Cooperation vs. competition between agents – …

Machine Learning and Generative AI 4 | () | Coursecode: M250807310

Advanced Artificial Neural Networks and Deep Learning

2.50

ECTS

1.50

SWS

Deep Learning – Deep learning frameworks for CPU, GPU and TPU computing – More complex architectures (e.g. U-Net, LSTM, ResNet, GCN, …) – … Areas of application for deep learning – Image and video analysis – Audio and signal analysis – …

Machine Learning and Generative AI 4 | () | Coursecode: M250807311

Advanced Generative AI Methods and Large Language Models

2.50

ECTS

3.00

SWS

Texts and text mining – Basics of linguistics and encoding of texts – Latent Semantic Analysis and Latent Dirichlet Allocation – Word embeddings – … Methods and architectures for Generative AI – Variational Autoencoder – Autoregressive models and transformers – Flow-based generative models – Energy-based models and diffusion models – Generative adversarial networks – … Advanced Natural Language Processing – Overview and areas of application – Large Language Models – Prompt Engineering – …

Machine Learning and Generative AI 5 | () | Coursecode: M250807312

DevOps and MLOps

2.50

ECTS

1.50

SWS

Foundations of DevOps and MLOps – Principles of DevOps and MLOps – Technology stacks and tools – Continuous integration (CI) and continuous delivery (CD) – Special aspects of DevOps in cloud environments – Container as a Service (CaaS) – … Lifecycle of machine learning models – Training and optimisation of models – Traceability of model-related experiments – Code, data and model verification – Validation and quality assurance of models – … Operational use of machine learning models – Operational provision of the models – Monitoring and further development of machine learning models during operation – Triggering model-related actions within a software application – …

Machine Learning and Generative AI 6 | () | Coursecode: M250807313

Project Work in Machine Learning and Generative AI

5.00

ECTS

2.00

SWS

Implementation of projects in the field of “Machine Learning and Generative AI” – Analysis of given requirements – Development of different solution strategies – Planning, implementation, management and controlling of projects – Collaboration in a team including possible conflict resolution – … Project documentation and dissemination of project results – Creation of project documentation based on norms, standards and specifications – Presentation and discussion of project progress and project results – …

Interdisciplinary Qualifications 2 | () | Coursecode: M250807402

Business Dialogue and Case Studies

2.50

ECTS

1.50

SWS

Data science and AI in practice – Analysis of problems and selection of suitable methods and algorithms – Discussion of the advantages and disadvantages of different methods and algorithms – … Best practices and the future of data science and AI projects – Best practices for data science and AI projects – Avoiding typical pitfalls in data science and AI projects – Discussion about the status quo and the future of data science and AI – …

Interdisciplinary Qualifications 2 | () | Coursecode: M250807401

Ethics, Compliance and Data Protection

2.50

ECTS

1.50

SWS

Ethics – Basic ethical concepts and problems – Ethical consideration of big data and artificial intelligence – Corporate social responsibility – … IT compliance and IT risk management – IT governance and IT compliance – IT risks and IT risk management – … Data protection – Basic concepts and overview – National and international legal requirements – General Data Protection Regulation – Law enforcement in the area of data protection – …

Master's Thesis and Master's Examination 2 | () | Coursecode: M250807405

Master's Examination

2.50

ECTS

0.00

SWS

Preparation for the final Master’s examination – Preparation of the presentation of the key points of the written Master’s thesis according to templates and specifications of the degree program – Preparation for the defense of the written Master’s thesis – Preparation for the partial examinations on important curriculum-relevant content – … Taking the final Master’s examination – Presentation of the key points of the written Master’s thesis – Defense of the written Master’s thesis – Expert explanation and discussion of important curriculum-relevant content – …

Master's Thesis and Master's Examination 2 | () | Coursecode: M250807404

Master's Thesis

20.00

ECTS

0.50

SWS

Scientific research – Independent implementation of the planned research project according to scientific quality criteria – Regular coordination with the supervisor of the Master’s thesis – … Writing the Master’s thesis – Writing the Master’s thesis according to certain norms, standards, templates and specifications of the degree program – Regular coordination with the supervisor of the Master’s thesis – …

Master's Thesis and Master's Examination 2 | () | Coursecode: M250807403

Master's Thesis Seminar

2.50

ECTS

1.50

SWS

Dissemination of the first results of the Master’s thesis – Presentation and defense of the first results of the Master’s thesis – Taking and reflecting on professional feedback – … Discussion of various research projects – Discussion of initial results of other Master’s thesis projects – Giving professional feedback – …