Modules

52 results

Interdisciplinary Electives52

Advanced Topics of Software EngineeringNo ratings for this module yet.Digital EconomyYou will learn how requirements, architecture, design, implementation and quality assurance are tightly interlinked in the development of large software systems. In the end you will be able to elicit and specify requirements (functional and non-functional), assess their impact on architecture and code, and analyze architectures and solution approaches regarding central quality attributes.8 ECTSruns this semesterIN2309Applied Statistics and EconometricsNo ratings for this module yet.Digital EconomyYou will learn fundamental methods of applied econometrics and statistics and how to apply them to real economic data sets. In the end you can describe data, select appropriate models, apply estimation methods, and test and economically interpret results (cross-section, time series, panel).5 ECTSruns this semesterWZ1705Clinical Applications of Computational MedicineNo ratings for this module yet.Digital EconomyYou learn how methods of Computational Medicine are applied to concrete clinical problems. The module covers data collection, biostatistical modeling, signal processing, pattern recognition, prediction and validation as well as the development of web-based decision aids. In the end you can apply basic signal processing, explore research questions exploratively and present results in writing as well as orally.6 ECTSruns this semesterEI7585Computational Neuroscience: Eine Ringvorlesung von Modellen bis zu AnwendungenNo ratings for this module yet.Digital EconomyYou will obtain an interdisciplinary overview of fundamentals and models of Computational Neuroscience as well as their applications, for example in neuroprostheses. In the end you will know anatomical and physiological basics, methods for modeling neuronal activity, and how such models can be used for technical applications.3 ECTSruns this semesterEI7646Critical Making: Uncovering Biases, Rapid Prototyping, and Designing for EngagementNo ratings for this module yet.Digital EconomyYou work interdisciplinarily on how technical products and innovations absorb and reproduce unconscious biases. You will learn critical theories of technology and design and apply them in a team project: from research to Arduino and rapid prototyping to dissemination of your results.6 ECTSruns this semesterED130100
47 more in Interdisciplinary ElectivesData Mining und Knowledge DiscoveryNo ratings for this module yet.Digital EconomyYou will learn methods of Data Mining and Knowledge Discovery: from data sources and quality through preprocessing, visualization and feature selection to correlation, regression, forecasting, classification and clustering. In the end you will be able to select appropriate methods, apply them and critically evaluate them, as well as deepen the foundations independently.3 ECTSruns this semesterIN2030Einführung in die Informatik für andere FachrichtungenNo ratings for this module yet.Digital EconomyYou learn fundamental concepts of computer science, in particular object-oriented programming in Java, fundamentals of databases and SQL, as well as fundamental algorithms and data structures. In the end you will be able to overview these basics and develop simple programs with database connectivity.6 ECTSruns this semesterIN8005Foundations in Data EngineeringNo ratings for this module yet.Digital EconomyYou will learn how to organize, distribute, store and analyze large data sets efficiently. In the end you will be able to apply distributed data storage concepts, Map/Reduce techniques and their applications (e.g. Hadoop, NoSQL), implement analysis algorithms for distributed data and assess optimization techniques.8 ECTSruns this semesterIN2326Fundamentals of Artificial IntelligenceNo ratings for this module yet.Digital EconomyYou learn the foundations of artificial intelligence: from search procedures and constraint-satisfaction to logic and probabilistic models to decision making, learning and an introduction to robotics. In the end you will be able to design simple AI systems and apply basic methods from search, logic, probability and decision theory.6 ECTSruns this semesterIN2406Humanoid Robotic SystemsNo ratings for this module yet.Digital EconomyYou will get an overview of central topics of humanoid robotics and apply the theory practically on the NAO platform. In the end you will be able to describe components of humanoid systems, name relevant terminology and current challenges, develop functional modules in ROS, and implement and present a complete control application for NAO.6 ECTSruns this semesterEI7210Introduction to Deep LearningNo ratings for this module yet.Digital EconomyIn this module you will learn the fundamentals and current methods of Deep Learning, with a special focus on neural networks and Convolutional Neural Networks. You understand theory (e.g. backpropagation, SGD, regularization) and acquire practical experience in training and optimizing network architectures, so you can solve simple applications such as digit recognition or image classification.6 ECTSruns this semesterIN2346Introduction to Statistics Using RNo ratings for this module yet.Digital EconomyYou learn the basics of statistics and data analysis in R with a focus on reproducible research in psychology. By the end you will be able to apply fundamental R concepts, prepare and visualize data, and perform exploratory analyses, correlations, and simple/multiple linear regressions in a reproducible form (R Markdown).6 ECTSruns this semesterMGT001243Machine LearningNo ratings for this module yet.Digital EconomyYou will learn the probabilistic foundations of machine learning and central learning algorithms — from simple neighborhood and clustering methods to linear models and support vector machines up to neural networks and the EM method. By the end you will be able to select, describe and derive suitable algorithms for given problems.8 ECTSruns this semesterIN2064Machine Learning for CommunicationsNo ratings for this module yet.Digital Economy5 ECTSruns this semesterEI71018Maschinelles Lernen in der ErdsystemmodellierungNo ratings for this module yet.Digital EconomyYou will learn data-driven and process-based approaches to modeling the Earth system and its components. In the end you will be able to name classical process-based models and various machine-learning methods for describing Earth system dynamics, apply interpretable AI methods, and critically evaluate approaches that combine process- and data-driven models.3 ECTSruns this semesterED110065Muster in der SoftwaretechnikNo ratings for this module yet.Digital EconomyYou learn patterns in software engineering and how to apply them: from architecture and design patterns to test and organizational patterns up to anti-patterns. By the end you can identify patterns for analysis, system and detail design, model them in UML, and translate the model into Java source code.5 ECTSruns this semesterIN2081Natural Language ProcessingNo ratings for this module yet.Digital EconomyYou will receive a solid introduction to modern Natural Language Processing (NLP) methods. In the end you will know central concepts, algorithms and models from tokenizing, through parsing, embeddings and NER, to modern neural approaches and you will be able to read, analyze and contextualize scientific publications in the discipline for your own projects or theses.6 ECTSruns this semesterIN2361Network SecurityNo ratings for this module yet.Digital EconomyIn this module you will receive an introduction to network security: threat scenarios, protection requirements and the integration of security measures into network architectures and protocols. You will learn cryptographic fundamentals as well as security protocols and will be able to classify and apply techniques such as PKI, Kerberos, IPsec, TLS as well as firewall and intrusion detection concepts.5 ECTSruns this semesterIN2101Programming in Python for Business and Life Science AnalyticsNo ratings for this module yet.Digital EconomyYou will learn the fundamentals of Python with a focus on applications in Business Analytics and Life Science Analytics. By the end you will be able to read and write Python code, implement your own algorithms, and use common Python packages for analysis, visualization, modeling, and optimization.6 ECTSruns this semesterMGT001437Risk Theory and ModelingNo ratings for this module yet.Digital EconomyYou learn how risks are identified and quantified across different industries and how economic decisions are made under uncertainty. In the end you will be able to apply mathematical tools for risk assessment, analyze portfolios and production decisions under risk, and understand economic analyses from the literature.5 ECTSruns this semesterWZ0043Systemtheoretische Grundlagen des ProjektmanagementsNo ratings for this module yet.Digital EconomyYou will learn system-theoretic foundations of project management: second-order system and management approaches, coordination mechanisms and cross-impact analysis. You will also address process-oriented project organization, development models, cost and resource planning as well as scheduling and sequence planning in complex environments.6 ECTSruns this semesterED130018Trustworthy Machine Learning SystemsNo ratings for this module yet.Digital EconomyYou learn how to design and evaluate systems that provide trustworthy functions with machine-learning components. In the end you will be able to assess the necessity, benefits and challenges of such systems in various application fields, as well as analyze risks and derive appropriate measures to create trustworthy ML components.3 ECTSruns this semesterCIT4330017Advanced Machine Learning: Deep Generative ModelsNo ratings for this module yet.Digital EconomyYou will engage with advanced methods of machine learning, with a focus on deep generative models. In the end you will know the theoretical foundations and be able to apply and implement the key building blocks (Normalizing Flows, VAEs, GANs, diffusion models) in a modern programming language and qualitatively compare them.3 ECTSno date this semesterCIT4230003Advanced Natural Language ProcessingNo ratings for this module yet.Digital EconomyYou engage with current, advanced topics in Natural Language Processing: modern transformer models and explainability, machine translation for resource-poor languages, argument mining and ethical aspects, dialogue-oriented AI, quantum NLP, automatic text summarization as well as multimodal models (text + images). In the end you will be able to understand research work on these methods, combine technical building blocks and design and evaluate own architectural variants for research or practical application.5 ECTSno date this semesterCIT4230002Applied statistics in RNo ratings for this module yet.Digital EconomyYou learn advanced statistical methods and their application in R. The course combines a supporting lecture on the statistical foundations with practical exercises in R, visualization techniques, and the analysis of real data sets. In the end, you will be able to select appropriate advanced procedures, apply them in R, and present results with advanced visualizations.6 ECTSno date this semesterMGT001438Auction Theory and Market DesignNo ratings for this module yet.Digital EconomyYou learn game-theoretic fundamentals and mechanism design as well as the theory and practical realization of various auction and matching formats. In the end you will be able to explain properties and payment rules of open and closed auctions, model strategic interactions, and justify the selection of auction formats with regard to efficiency or revenue goals.5 ECTSno date this semesterIN2211Ausgewählte Themen aus dem Bereich Künstliche Intelligenz und RobotikNo ratings for this module yet.Digital EconomyIn this module, current topics from artificial intelligence and robotics are introduced. By the end you will know the state of research and technology in selected areas and be able to critically engage with newer research projects.5 ECTSno date this semesterIN3150Autonomes FahrenNo ratings for this module yet.Digital EconomyYou will learn the fundamentals and central questions of automated driving. The module provides an overview of perception, decision-making, lane and trajectory planning, as well as sensor models, multisensor fusion and mapping. In the end you will be able to apply exemplar solutions to typical traffic scenarios and you will have both scientific and practical relevance to the current development.3 ECTSno date this semesterIN2356Blockchain-based Systems EngineeringNo ratings for this module yet.Digital EconomyYou learn about the structure, properties and applications of blockchain and distributed ledger technologies (DLT). By the end you will be able to analyze blockchain-based application systems, select technologies suitable for concrete use cases, and justify fundamental architecture and design decisions.5 ECTSno date this semesterIN2359Brain, Mind and CognitionNo ratings for this module yet.Digital EconomyYou engage with interdisciplinary questions about brain, mind and cognition. In the seminar you read popular science books, discuss their statements about the structure and function of brain and cognition and consider what implications they might have for technical applications (e.g. cognitive robots). In addition, a lecture provides background knowledge from neuroscience and cognitive science with a view to cognitive robots.6 ECTSno date this semesterCIT4330010Catastrophe TheoryNo ratings for this module yet.Digital EconomyYou will learn the theory of critical points and their local classifications, in particular nondegenerate and certain degenerate singularities such as fold and cusp. In the end you will be familiar with classification theorems for germs and with stable unfoldings (unfoldings) up to codimension 4.5 ECTSno date this semesterCIT4130016Computer AlgebraNo ratings for this module yet.Digital EconomyYou learn fundamental algebraic structures and their representation on the computer (e.g., integers, rational numbers, field extensions, finite fields, polynomials, rational functions). You also cover fundamental algorithms such as primality tests, prime factorization, gcd computation and polynomial factorization; optionally formal summation/integration as well as basics on varieties, ideals and Gröbner bases are offered. In the end you will understand concepts and methods of computer algebra and design, analyze, implement and apply algebraic algorithms.9 ECTSno date this semesterMA3101Computer Vision I: Variational MethodsNo ratings for this module yet.Digital EconomyYou learn how many tasks of image processing (e.g. denoising, desmearing, segmentation, optical flow, stereo depth estimation, 3D reconstruction) are formulated and solved as variational problems. In the end you know the Euler–Lagrange approach and PDEs, efficient solution methods as well as convex formulations and relaxations and you can implement central concepts in Matlab.8 ECTSno date this semesterIN2246Einführung in die SoftwaretechnikNo ratings for this module yet.Digital EconomyYou will learn the fundamentals and methods of software engineering along the entire lifecycle: from requirements analysis and architecture design to implementation and testing up to deployment, monitoring, and maintenance — with particular emphasis on cloud environments. In the end, you will be able to select appropriate concepts and procedures and apply them to concrete problems.6 ECTSno date this semesterIN0006Engineering Resilient Cognitive SystemsNo ratings for this module yet.Digital EconomyYou will learn how cyber-physical cognitive systems (e.g., automated vehicles) are designed to remain reliable and safe in dynamic and uncertain contexts. In the end you will be able to describe fundamental concepts of resilient architectures and model simple resilient-adaptive designs with corresponding patterns and methods.3 ECTSno date this semesterCIT4230005Entrepreneurship for Small Software-oriented EnterprisesNo ratings for this module yet.Digital EconomyYou learn the fundamentals of founding and managing a small, software-oriented company. In the end you will be able to design business models, conduct market and SWOT analyses, develop a three-year financial plan, and present your start-up idea persuasively.2 ECTSno date this semesterIN9006Evidenzbasierte Entscheidungen auf der Grundlage von Big Data AnalyticsNo ratings for this module yet.Digital EconomyIn this module you will receive an introduction to Big Data Analytics and its application through accompanying case studies. You will learn steps from data acquisition, through preparation and analysis (with Python), to interpretation of results taking into account economic questions as well as ethical and data protection risks.6 ECTSno date this semesterWI001192Hauptseminar Data ScienceNo ratings for this module yet.Digital EconomyYou independently work on an anspruchsvolles wissenschaftliches Thema from the area Mathematics / Data Science, write a written seminar paper on it, and present the results in the seminar. In the end you can present your research results in a structured, scientifically justified manner and participate in the professional discussion.5 ECTSno date this semesterMA6014Innovationsentwicklung in der GesundheitsbrancheNo ratings for this module yet.Digital EconomyYou will learn how to systematically develop, validate, and assess the market and customer relevance of innovations in the healthcare sector – with a focus on medical technology and medical imaging. By the end of the module you will have a validated innovation idea including a Value Proposition and Business Model Canvas that can serve as a basis for a potential startup.6 ECTSno date this semesterIN9048Introduction to Machine LearningNo ratings for this module yet.Digital EconomyYou receive an introduction to concepts, methods and theoretical foundations of common machine learning algorithms. At the end you know standard procedures for regression, classification, clustering and model selection, you can apply them, validate them, interpret them and assess their limits.5 ECTSno date this semesterEI04016Introduction to PythonNo ratings for this module yet.Digital EconomyYou learn the basics of programming with Python. The module shows you how to use data structures, implement simple algorithms, and apply Python to practical tasks. In the end you will be able to write Python code, debug it, and use libraries such as NumPy, Pandas and Matplotlib for data analysis and visualization.3 ECTSno date this semesterSOT10051Legal Data Science and InformaticsNo ratings for this module yet.Digital EconomyYou will learn how methods of Data Science and Artificial Intelligence are applied to legal questions, for example in analysis and search in legal documents, prediction of case outcomes and formal representations of legal knowledge. In the end you will be able to assess how ML and NLP techniques affect legal data, explain formal representation and argumentation models, and apply simple technical approaches to concrete, bounded problems.6 ECTSno date this semesterIN2395Maschinelle Intelligenz und Gesellschaft (in Python)No ratings for this module yet.Digital EconomyYou will learn how to analyze and interpret multivariate data using methods such as PLS and PCA, as well as the fundamentals of AI, machine learning, and neural networks. You will acquire initial programming skills in Python, practice data visualization, validation, and learn to plan data collection and experiments. In the end you will be able to write simple Python programs, perform data analyses, and assess opportunities, risks, and limits of data-based technology.6 ECTSno date this semesterEI04017Modellierung und Maschinelles Lernen von dynamischen SystemenNo ratings for this module yet.Digital EconomyYou will learn to use the Julia programming language for the analysis and simulation of nonlinear and chaotic dynamical systems. In the end you can implement simple nonlinear models in Julia, analyze time series of dynamical systems, and apply data-driven modeling approaches — with examples from Earth system and climate modeling.5 ECTSno date this semesterED110068Neural Networks and Deep Learning: From the Neuron to ChatGPTNo ratings for this module yet.Digital EconomyYou learn the basics of neural networks and deep learning with a focus on applications in the social sciences. In the end you can develop simple models (e.g., classification, topic modeling, NLP), preprocess data, program networks, and understand the fundamentals of transformers such as ChatGPT.6 ECTSno date this semesterSOT82901Peer-to-Peer-Systems and SecurityNo ratings for this module yet.Digital EconomyYou will learn fundamentals, protocols, and typical problems of peer-to-peer systems. After the module you will be able to explain selected P2P systems, apply fundamental mechanisms for search and membership, and assess security and anonymity concepts, as well as design and implement your own P2P protocols or components.6 ECTSno date this semesterIN2194Projektive Geometrie 2No ratings for this module yet.Digital EconomyYou explore selected topics of projective geometry and learn to apply algebraic and combinatorial methods to geometric problems. In the end you can, for example, purposefully use tensor or Clifford algebra, apply combinatorial tools such as oriented matroids or polytope theory, and explain the interplay between geometry, combinatorics and algebra in concrete examples.5 ECTSno date this semesterMA3204Quantum Hackathon: Applications of Quantum Computing in Life Sciences, Finance, and MobilityNo ratings for this module yet.Digital EconomyYou will learn how quantum- and hybrid computing approaches are practically applied to problems in Life Sciences, Finance and Mobility. In the end you will be able to design solution concepts with quantum-inspired methods (sampling, optimization, hybrid learning), select suitable quantum SDKs, and responsibly assess feasibility as well as societal implications.3 ECTSno date this semesterSOT86140Quantum Social Lab - Mathematical, Physical and algorithmic basics of Quantum TechnologiesNo ratings for this module yet.Digital EconomyYou will learn the physical, mathematical and algorithmic fundamentals of modern quantum technologies. The course introduces concepts such as interference, superposition and electronic waves as well as the corresponding mathematical descriptions. In the second half of the year you will apply programming skills to understand quantum algorithms and work with appropriate software packages. In the end you will be able to analyze the fundamental properties of quantum communication and perform simple experiments with quantum simulators.6 ECTSno date this semesterSOT82900Security EngineeringNo ratings for this module yet.Digital EconomyYou will learn how to systematically design, analyze, evaluate, and operate secure IT applications. The focus is on system and threat analysis, derivation of security requirements, security architectures and measures, as well as methods for validation and a secure software development process.5 ECTSno date this semesterIN2178Social ComputingNo ratings for this module yet.Digital EconomyYou learn the basics and methods of Social Computing: concepts of social media, social networking and social contexts as well as sociometric methods (centrality, density, clustering), metrics of real networks, models of social relationships in space and time, Social Signal Processing and fundamentals of game theory. In the end you will be able to apply these concepts to the conception, implementation and research of Social Computing applications.5 ECTSno date this semesterIN2241Space ExplorationNo ratings for this module yet.Digital EconomyThe module offers an introduction to space exploration: history, the formation of the solar system, planets, moons, small bodies, trajectories as well as mission and space systems. You will learn to evaluate scientific mission objectives, to develop mission architectures, and to formulate technology requirements.5 ECTSno date this semesterED110108
19 more modules match, but they are taught in German. Show themBachelor/Master-Seminar - The EU’s AI Act Proposal: From framework to concrete application KopieNo ratings for this module yet.Digital Economy5 ECTSno date this semesterIN4477Bachelor/Masterseminar: Responsible ComputingNo ratings for this module yet.Digital Economyruns this semesterIN4906_6Einführung in die Theoretische InformatikNo ratings for this module yet.Digital EconomyDu erhältst eine systematische Einführung in die Theorie formaler Sprachen, Berechenbarkeit und Komplexität. Am Ende kannst du formale Sprachen mit passenden Beschreibungsmitteln (z. B. Automaten, Grammatiken, reguläre Ausdrücke) darstellen und analysieren, Unentscheidbarkeits- und Komplexitätseigenschaften nachweisen sowie grundlegende Reduktionen durchführen.8 ECTSno date this semesterIN0011Einführung in die WirtschaftsinformatikNo ratings for this module yet.Digital EconomyDu lernst grundlegende Konzepte der Wirtschaftsinformatik, wie Informationssysteme, Prozess- und Datenmodellierung sowie prozessorientierte Anwendungen. Am Ende kannst du Informationssysteme beschreiben und modellieren, einfache prozessorientierte Anwendungen entwickeln und ihren Nutzen in Branchen wie Produktion oder Pflege/Health Care einordnen. Außerdem kennst du die Grundlagen der Informationssicherheit und den Beitrag der Wirtschaftsinformatik zur digitalen Transformation.5 ECTSruns this semesterIN0021Einsatz und Realisierung von DatenbanksystemenNo ratings for this module yet.Digital EconomyDu lernst, wie moderne Datenbanksysteme aufgebaut und eingesetzt werden. Am Ende kannst Du wesentliche Komponenten (Transaktionsverwaltung, Recovery, Mehrbenutzersynchronisation, physische Organisation, Anfragebearbeitung) erklären, Algorithmen und Datenstrukturen implementieren sowie Einsatzszenarien kritisch bewerten und skizzieren.6 ECTSno date this semesterIN2031Experimentalphysik für CIWNo ratings for this module yet.Digital EconomyDu beschäftigst dich mit den Grundlagen der Experimentellen Physik: Mechanik, Elektrizitätslehre, Magnetismus, elektromagnetische Wellen und Optik. Am Ende kannst du die zentralen Begriffe und Gleichungen benennen, ihre Inhalte erklären und sie zur Lösung typischer physikalischer Aufgaben anwenden.5 ECTSruns this semesterPH9004Fortgeschrittene Konzepte der Wahrnehmung für RobotersystemeNo ratings for this module yet.Digital EconomyDu lernst, wie Wahrnehmungssysteme für autonome und semiautonome Roboter aufgebaut sind, welche Sensoren und Sensortechnologien zur Verfügung stehen und wie man mit unsicherer Information umgeht. Am Ende kannst du Wahrnehmungsaufgaben analysieren und ein geeignetes Perzeptionssystem für ein Robotersystem konzipieren.3 ECTSruns this semesterEI7623Fortgeschrittene Themen des SoftwaretestsNo ratings for this module yet.Digital EconomyDu lernst Methoden, Techniken und Managementaspekte des Softwaretestens kennen. Am Ende kannst du Testaktivitäten und -artefakte benennen, ihre Vor- und Nachteile einschätzen und in konkreten Kontexten Testfälle konzeptuell und beispielhaft erstellen und analysieren.5 ECTSno date this semesterIN2084Grundlagen: Algorithmen und DatenstrukturenNo ratings for this module yet.Digital EconomyDu lernst die Grundlagen der Analyse von Effizienz und Komplexität sowie zentrale Datenstrukturen und Algorithmen. Am Ende kannst du Laufzeiten abschätzen, grundlegende Datenstrukturen und Graphalgorithmen anwenden und verschiedene Lösungen in ihrer Güte vergleichen.6 ECTSno date this semesterIN0007Grundlagen: DatenbankenNo ratings for this module yet.Digital EconomyDu lernst die Grundlagen relationaler Datenbanksysteme: von SQL und Datenintegrität über konzeptionellen und physischen Entwurf bis hin zu Anfragebearbeitung, Transaktionsverwaltung und Grundlagen von Recovery, Backup und Mehrbenutzersynchronisation. Am Ende kannst du Datenbanken entwerfen, komplexe SQL-Anfragen formulieren und die Betriebssicherheit (z. B. Autorisierung, Recovery) beurteilen.6 ECTSruns this semesterIN0008Grundlagen: Rechnernetze und Verteilte SystemeNo ratings for this module yet.Digital EconomyDu lernst die Grundlagen von Rechnernetzen und verteilten Systemen: Aufbau, Schichtenmodelle, Protokolle und übergreifende Konzepte wie Sicherheit und Netzmanagement. Am Ende kannst du die wesentlichen Protokollmechanismen der einzelnen Schichten erklären, verteilte Anwendungen (z. B. das WWW) mit Internetprotokollen einordnen und die Leistungsfähigkeit ausgewählter Netze sowie Protokollmechanismen berechnen und implementieren.6 ECTSno date this semesterIN0010Interdisciplinary Research Seminar on Generative AI in Sub-Saharan AfricaNo ratings for this module yet.Digital Economy5 ECTSno date this semesterIN45081IT-Recht in der öffentlichen Verwaltung: E-Government-Gesetz, IT-Sicherheit und AuftragsvergabeNo ratings for this module yet.Digital EconomyIn diesem Modul lernst Du die rechtlichen Rahmenbedingungen für den Einsatz von IT in der öffentlichen Verwaltung kennen. Du kannst nach Abschluss die zentralen Regelungen des E‑Government, der IT‑Sicherheit sowie der IT‑Auftragsvergabe benennen und wichtige Fachbegriffe des IT‑Rechts in der Verwaltung erklären und anwenden.5 ECTSno date this semesterIN9046Mathematische ToolsNo ratings for this module yet.Digital EconomyDu lernst, wie ingenieurwissenschaftliche Probleme mit geeigneten Softwaretools modelliert und gelöst werden. Schwerpunkt ist das Erkennen, ob analytische oder numerische Verfahren angewendet werden müssen, sowie der gezielte Einsatz von Werkzeugen (z. B. MATLAB/Simulink) und Bibliotheken zur Umsetzung praxisnaher Lösungen.5 ECTSruns this semesterMW2346Praxisseminar Legal Tech SpecialNo ratings for this module yet.Digital EconomyDu lernst Grundlagen und aktuelle Entwicklungen im Bereich Legal Tech kennen, sowohl aus rechtlicher als auch aus technischer Perspektive. Am Ende kannst du die Wirkmechanismen moderner Lösungen (einschließlich KI/maschinellem Lernen) verstehen, Chancen und Risiken bewerten und so die Entwicklungen im Bereich Legal Tech einordnen oder mitgestalten.3 ECTSno date this semesterSOT82534Ringvorlesung SystemsicherheitNo ratings for this module yet.Digital EconomyIn der Ringvorlesung präsentieren Forschende und Industrievertreter aktuelle Fragestellungen und Lösungsansätze der IT-Sicherheit für Systeme und Anwendungen. Am Ende kannst du grundlegende Sicherheitsprobleme erkennen und die vorgestellten Lösungsansätze wiedergeben.3 ECTSruns this semesterEI75671Seminar - Participatory AI and the EU's AI ActNo ratings for this module yet.Digital Economy5 ECTSno date this semesterIN45054Space Communication & OperationsNo ratings for this module yet.Digital EconomyDu lernst Grundlagen und Praxis der Satellitenkommunikation sowie des Satellitenbetriebs kennen. Am Ende kannst du verschiedene Kommunikationssysteme und Betriebsaufgaben unterscheiden, einfache Link-Berechnungen durchführen und typische Betriebsprobleme identifizieren und einordnen.3 ECTSno date this semesterMW2261Weitere Module für Digital EconomyNo ratings for this module yet.Digital Economyno date this semesterSOT90026