Modules

60 results

Elective Modules60

3D Scanning & Motion CaptureNo ratings for this module yet.Elective Modules ComputationYou learn methods for 3D capture and motion capture with a focus on RGB-D sensors and algorithmic fundamentals. In the end you can capture data with consumer RGB-D scanners, understand rigid and non-rigid 3D reconstructions, pose and face tracking, as well as suitable optimization methods, and you can practically implement selected approaches.6 ECTSruns this semesterIN2354Advanced Computer ArchitectureNo ratings for this module yet.Elective Modules ComputationYou will gain an overview of modern processor and system architectures with a focus on parallelism, memory hierarchies, availability, and virtualization. You will learn to become familiar with different classes of parallel architectures (instruction-, data-, thread-, and process-level), assess their advantages and disadvantages, and evaluate the interaction between hardware and compiler techniques. In the end you will be able to analyze and evaluate architecture decisions for different applications.6 ECTSruns this semesterIN2076Advanced Deep Learning for Computer Vision: Visual ComputingNo ratings for this module yet.Elective Modules ComputationThe module conveys current deep-learning methods for computer vision. You will learn both theoretical foundations of modern neural architectures and practical methods such as generative models (GANs, diffusion models, Large Reconstruction Models) and modern 3D representations (e.g., Neural Radiance Fields, 3D Gaussian Splatting). In the end you will be able to apply, evaluate, and implement state-of-the-art methods in project work.8 ECTSruns this semesterIN2390Advanced Deep Learning for RoboticsNo ratings for this module yet.Elective Modules ComputationIn this module you deepen advanced deep learning methods with a focus on robotic applications and deep reinforcement learning. You learn both theoretical foundations of modern network architectures and probabilistic methods as well as their practical implementation in simulations and projects for robotics tasks.8 ECTSruns this semesterCIT433027Advanced ProgrammingNo ratings for this module yet.Elective Modules ComputationYou will learn to develop scientific software in C++ while balancing performance and maintainability. In the end you will be able to choose appropriate data types and programming structures, apply C++ language facilities for resource management, object- and generic programming, and analyze and optimize performance.5 ECTSruns this semesterIN1503
55 more in Elective ModulesAdvanced Topics of Software EngineeringNo ratings for this module yet.Elective Modules ComputationYou 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 semesterIN2309Approximate Dynamic Programming and Reinforcement LearningNo ratings for this module yet.Elective Modules ComputationYou will learn methods of Approximate Dynamic Programming (ADP) and Reinforcement Learning (RL) to solve sequential decision problems. In the end you will be able to describe fundamental models and algorithms, follow derivations, and implement simple ADP/RL methods and apply them to simple tasks (e.g., robotic).6 ECTSruns this semesterEI7649Automata and Formal LanguagesNo ratings for this module yet.Elective Modules ComputationYou learn how different classes of automata (finite, deterministic, nondeterministic, Büchi automata) are used as data structures for the representation and manipulation of (also infinite) sets and relations. You practice building and composing automata, automatic operations (e.g., boolean operations, joins) and the connection between automata and logic as well as their application in pattern matching, program verification and in problems such as Diophantine equations.8 ECTSruns this semesterIN2041Business Analytics and Machine LearningNo ratings for this module yet.Elective Modules ComputationYou learn methods of statistical analysis and machine learning for classification, numerical prediction and clustering. After the module you can explain the assumptions and workings of common procedures and analyze datasets with R as well as interpret results.5 ECTSruns this semesterIN2028Computational IntelligenceNo ratings for this module yet.Elective Modules ComputationYou will learn the basics and applications of modern computational-intelligence methods, in particular neural networks, fuzzy- and neuro-fuzzy techniques, as well as evolutionary procedures and genetic algorithms. In the end you will be able to apply these methods generally and analyze applications, especially in control engineering.5 ECTSruns this semesterCIT1330000Computer Vision III: Detektion, Segmentierung und TrackingNo ratings for this module yet.Elective Modules ComputationYou will learn modern methods for object recognition, segmentation and tracking in images and videos. In the end you will understand the underlying deep-learning concepts and be able to work on real computer-vision problems with state-of-the-art models in PyTorch.6 ECTSruns this semesterIN2375EchtzeitsystemeNo ratings for this module yet.Elective Modules ComputationYou will learn the specific methods, problems and solutions for real-time systems. You will understand how real-time systems differ from general systems, how modelling, scheduling, concurrent programming, real-time capable communication as well as typical hardware for sensing and actuation are used, and you will be able to select and implement suitable solutions. The module closes with an introduction to fault-tolerant systems.6 ECTSruns this semesterIN2060Einführung in Quantum ComputingNo ratings for this module yet.Elective Modules ComputationYou will learn the mathematical foundations of Quantum Computing as well as the basic concepts of quantum mechanics and quantum circuits. In the end you will be able to analyze simple quantum algorithms, design and assess quantum circuits for fundamental tasks, and understand how quantum computers may be used in the future.5 ECTSruns this semesterIN2381Introduction to Deep LearningNo ratings for this module yet.Elective Modules ComputationIn 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 semesterIN2346Künstliche Intelligenz in der MedizinNo ratings for this module yet.Elective Modules ComputationYou will learn the fundamentals and current methods of Artificial Intelligence in the medical context, from ML for medical imaging through NLP for clinical data to data protection, interpretability and ethical aspects. In the end you can classify the most important topics, apply them to your own deep-learning projects and develop strategies for evaluation and implementation in clinical practice.5 ECTSruns this semesterIN2403Machine Learning for 3D GeometryNo ratings for this module yet.Elective Modules ComputationYou will learn theoretical foundations and modern machine‑learning methods for 3D geometric data. The module covers representations of shapes and scenes as well as deep‑learning architectures for discriminative and generative tasks such as classification, segmentation, reconstruction and synthesis. In the end you will be able to understand and practically apply common approaches to point clouds, volumetric data, multi‑view inputs and graphs.6 ECTSruns this semesterIN2392Muster in der SoftwaretechnikNo ratings for this module yet.Elective Modules ComputationYou 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.Elective Modules ComputationYou 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 semesterIN2361Scientific Computing INo ratings for this module yet.Elective Modules ComputationYou will learn the steps of the scientific computing pipeline in scientific data processing, with a focus on model development and discretization. In the end you will be able to derive and classify simple mathematical models and apply suitable discretization and time integration methods, and assess their accuracy and suitability.5 ECTSruns this semesterIN2005Statistical Foundations of LearningNo ratings for this module yet.Elective Modules ComputationYou learn statistical foundations of machine learning theory and mathematical tools for the analysis of learning algorithms. In the end you will be able to evaluate generalization and consistency questions, theoretically analyze algorithms such as k‑NN, SVM and simple neural networks, and contextualize newer developments such as overparameterization and training dynamics.8 ECTSruns this semesterCIT4230004Virtuelle Physik: Moderne Modellierungstechnik und ihr Einsatz in der ComputersimulationNo ratings for this module yet.Elective Modules ComputationYou learn how physical systems are modeled equation-based with modern, object-oriented languages such as Modelica, and how these models are used in computer simulations. In the end you will be able to model electrical and mechanical systems, build model libraries, and select suitable time integration methods for simulations.4 ECTSruns this semesterIN2236Visual Data AnalyticsNo ratings for this module yet.Elective Modules ComputationYou will learn the entire visualization pipeline — from data acquisition and preprocessing over interpolation and filtering to presentation. You understand methods of information and scientific visualization for 2D/3D scalar and vector fields as well as terrain rendering and can evaluate and apply suitable techniques.5 ECTSruns this semesterIN20263D Computer Vision IINo ratings for this module yet.Elective Modules ComputationYou will learn modern methods for geometry and reconstruction from multiple images. In the end you will be able to determine correspondences between views, reconstruct 3D points, and estimate camera positions and parameters from image data.5 ECTSno date this semesterIN21233D User InterfacesNo ratings for this module yet.Elective Modules ComputationYou will learn concepts, techniques and devices for three-dimensional human-computer interaction. In the end you will be able to analyze existing 3D interaction concepts in terms of required input/output devices, functionality and usability, and design and implement your own interaction concepts.6 ECTSno date this semesterIN2111Advanced Deep Learning for Computer Vision: Dynamic VisionNo ratings for this module yet.Elective Modules ComputationYou will learn advanced deep-learning methods with a clear focus on video analysis for computer-vision tasks. Beyond the theoretical foundations, you will train and implement neural networks yourself and work on a semester-long project on current research topics of the group.8 ECTSno date this semesterIN2389Advanced Machine Learning: Deep Generative ModelsNo ratings for this module yet.Elective Modules ComputationYou 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.Elective Modules ComputationYou 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 semesterCIT4230002Algorithmen für Uncertainty QuantificationNo ratings for this module yet.Elective Modules ComputationYou will learn methods for quantifying uncertainties in computer-based simulations. In the end you will be able to place central algorithms for Forward Uncertainty Quantification, assess their complexity, and evaluate when which procedures (e.g., Monte Carlo, Quasi-Monte Carlo, stochastic collocation, stochastic Galerkin) are suitable.5 ECTSno date this semesterIN2345Algorithms for Scientific ComputingNo ratings for this module yet.Elective Modules ComputationYou will learn efficient, hierarchical algorithms and data structures for scientific computing and how to implement them. The focus is on fast discrete Fourier and related transforms (FFT, DCT/DST), space-filling curves (Peano, Hilbert) for organizing multi-dimensional data, as well as hierarchical methods such as Sparse Grids and adaptive representations. In the end you will be able to explain such procedures, analyze them, and implement them if needed.8 ECTSno date this semesterIN2001Algorithms for Scientific Computing IINo ratings for this module yet.Elective Modules ComputationYou engage with advanced numerical methods and their application in scientific computing. Depending on the lecture focus, you learn e.g. efficient procedures for sparsely populated matrices, numerical techniques for quantum systems, or methods such as molecular dynamics, sparse grids and algebraic multigrid. In the end you can apply suitable methods to demanding application problems and explain and utilize their hierarchical aspects.4 ECTSno date this semesterIN2002Anwendungen Wissenbasierter MethodenNo ratings for this module yet.Elective Modules ComputationYou will learn modern techniques for the design and implementation of knowledge-based systems and their application to real-world problems, in particular on the World Wide Web and for the control of intelligent software systems. In the end you will be able to design central components of such systems and select and apply suitable methods.5 ECTSno date this semesterIN2058Artificial Intelligence in Medicine IINo ratings for this module yet.Elective Modules ComputationYou will gain an overview of advanced prediction and classification tasks in medicine. You will learn methods for prognosis and diagnostics (e.g., risk scores, survival models, differential diagnosis, population stratification), specialized ML techniques (geometric deep learning methods for point clouds/networks, transformers, reinforcement learning) as well as topics on trustworthiness and clinical implementation of AI (bias, fairness, generalizability, data harmonization, evaluation). By the end you can apply the concepts in your own AI projects and assess their social and ethical implications.5 ECTSno date this semesterIN2408Augmented RealityNo ratings for this module yet.Elective Modules ComputationYou learn the fundamentals of augmented reality (AR): geometric transformations, projection geometry, representation of 3D information, display and tracking devices, as well as mathematical foundations of optical tracking, sensor fusion, and calibration. In the end you can describe, analyze and extend the mathematical and programming aspects of AR systems for your own solution approaches, and evaluate input/output devices for suitability to application scenarios.6 ECTSno date this semesterIN2018Ausgewählte Themen aus dem Bereich Künstliche Intelligenz und RobotikNo ratings for this module yet.Elective Modules ComputationIn 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.no date this semesterIN3150Autonomes FahrenNo ratings for this module yet.Elective Modules ComputationYou 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 semesterIN2356Basic Mathematical Methods for Imaging and VisualizationNo ratings for this module yet.Elective Modules ComputationYou learn fundamental mathematical methods that are applied in imaging and visualization, and you can subsequently use them to formulate, analyze and solve concrete problems. Topics include, among others, linear algebra, analysis, optimization and probability theory and their applications in image processing and computer vision. In the end you will be able to select appropriate methods, optimize them and transfer them to related engineering disciplines.5 ECTSno date this semesterIN2124Blockchain-based Systems EngineeringNo ratings for this module yet.Elective Modules ComputationYou 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 semesterIN2359CausalityNo ratings for this module yet.Elective Modules ComputationYou engage with concepts and methods of causal inference: from probabilistic and graph-theoretic foundations through structural models to modern algorithms for causal discovery and estimation of causal effects. In the end you can judge whether and how causal conclusions are possible from given data and assumptions, select appropriate methods and apply them in practice.8 ECTSno date this semesterIN2410Compilerbau INo ratings for this module yet.Elective Modules ComputationYou learn how compilers are built and how they translate programs from a higher programming language into machine instructions. In the end you will be able to explain the core components frontend, middleend and backend and implement a simple compiler for a small language and target architecture.5 ECTSno date this semesterIN2227Computer Architecture and NetworksNo ratings for this module yet.Elective Modules ComputationYou learn how computers are internally constructed and how their components work together. In the end you can name the most important building blocks of microprocessors and computers and analyze their interaction as well as classify and use different levels of parallelism in hardware and software.5 ECTSno date this semesterIN2189Computer Vision I: Variational MethodsNo ratings for this module yet.Elective Modules ComputationYou 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 semesterIN2246Concepts of C++ ProgrammingNo ratings for this module yet.Elective Modules ComputationYou will learn the fundamental and modern concepts of the C++ programming language with a focus on runtime efficiency. By the end you will be able to apply, analyze and use concepts such as RAII, smart pointers, templates, classes/ inheritance, STL containers/iterators and build/test concepts in programming tasks.6 ECTSno date this semesterCIT323000Fortgeschrittene Konzepte des Quantum ComputingNo ratings for this module yet.Elective Modules ComputationYou will learn advanced concepts and algorithms of Quantum Computing, with a focus on the quantum Fourier transform, the Shor algorithm and quantum error correction. In the end you will be able to distinguish these techniques, apply the quantum Fourier transform in new scenarios and understand the mathematical formalism of error correction, including the stabilizer formalism.5 ECTSno date this semesterIN2400Fundamentals of Foundation ModelsNo ratings for this module yet.Elective Modules ComputationYou learn what Foundation Models are (e.g., LLMs, CLIP, image generation) and how they are structured, trained and fine-tuned. In the end you understand architecture, scaling, data requirements and distributed training as well as strategies for fine-tuning and alignment/adaptation of models.5 ECTSno date this semesterCIT433021Grundlagen von Computer VisionNo ratings for this module yet.Elective Modules ComputationYou will learn how images are formed and how to process image information for measurement and control tasks. The module covers surface properties, camera models and lenses as well as basic image processing and 3D reconstruction methods (stereo, shape from shading, structure-from-motion). In the end you will be able to calibrate camera systems and assess and apply methods for 3D reconstruction and image processing for robotic applications.4 ECTSno date this semesterIN2133Guided ResearchNo ratings for this module yet.Elective Modules ComputationOver about 6 months you work on a small, research-oriented computer science project under close supervision. You independently research the current state of the art, develop your own, narrowly scoped result using scientific methods, and write an English results report; you also present the results in a short talk.10 ECTSno date this semesterIN2169Informatikanwendungen in der Medizin IINo ratings for this module yet.Elective Modules ComputationYou will learn advanced methods of medical image processing, segmentation and registration as well as the fundamentals of machine learning and 3D volume visualization. In the end you will be able to distinguish the most important algorithm types, assess when they are applied, implement central procedures in Python, and apply them to clinical questions.5 ECTSno date this semesterIN2022Inverse Problems in Medical ImagingNo ratings for this module yet.Elective Modules ComputationYou will learn mathematical tools and solution strategies for inverse problems in medical imaging. In the end you will be able to theoretically analyze inverse problems, design experimentally and implement practically, as well as assess algorithms for reconstruction and regularization.5 ECTSno date this semesterIN2409Kombinatorische Optimierung in Computer VisionNo ratings for this module yet.Elective Modules ComputationYou will learn how many problems in computer vision can be formulated as combinatorial optimization problems, in particular via Markov Random Field (MRF) models. You will encounter both polynomially solvable cases and NP-hard tasks and apply methods for exact as well as approximate solutions, e.g. for segmentation, optical flow, stereo and shape matching.8 ECTSno date this semesterIN2245Machine Learning and IT-SecurityNo ratings for this module yet.Elective Modules ComputationYou will gain an overview of the intersection of Machine Learning and IT Security. You will learn how ML systems are used to detect attacks or spam/m malware, how ML systems themselves can be attacked and defended, and how audio deepfakes are produced and detected. In the end you will be able to design methods for anomaly detection, describe attacks on ML systems, and explain simple concepts of audio spoofing creation and detection.5 ECTSno date this semesterCIT4330001Machine Learning and OptimizationNo ratings for this module yet.Elective Modules ComputationYou will learn advanced concepts and methods of machine learning as well as common optimization procedures for their training. In the end you will be able to apply and further develop modern learning methods (e.g. deep neural networks), design optimization algorithms and analyze their behavior theoretically and empirically.5 ECTSno date this semesterEI70360Machine Learning for Graphs and Sequential DataNo ratings for this module yet.Elective Modules ComputationYou will learn methods of machine learning for graph data and sequential data. You understand models for texts and temporal sequences as well as techniques for networks and graphs and can apply and evaluate them to real tasks. In the end you can select suitable procedures and assess their strengths/weaknesses for non-independent data.5 ECTSno date this semesterIN2323Maschinelles Lernen für ComputersehenNo ratings for this module yet.Elective Modules ComputationYou will learn fundamental machine learning methods that are frequently used in computer vision (e.g., object classification, segmentation, denoising, camera calibration). In the end you will be able to explain the mathematical formulation of central procedures, create simple implementations, and apply them to concrete datasets from the field of computer vision.5 ECTSno date this semesterIN2357Modelling and SimulationNo ratings for this module yet.Elective Modules ComputationYou learn how to transfer real problems into formal models (mathematical or computational) and to process these models with suitable simulation strategies computationally. By the end of the module you will be able to distinguish model classes, develop simple solution procedures and select and apply simulation methods.8 ECTSno date this semesterIN2010Netzwerke für den ZahlungsverkehrNo ratings for this module yet.Elective Modules ComputationIn this module you will learn the system architecture, protocol layers and security aspects of networks used for national and international payments. In the end you will be able to assess fundamental architectures, security standards and authorization solutions and to evaluate types of attacks as well as mobile security concepts.3 ECTSno date this semesterIN2161Parallel ProgrammingNo ratings for this module yet.Elective Modules ComputationYou learn concepts and techniques for parallel programming for distributed and shared memory architectures. The focus is on MPI for distributed systems and OpenMP for shared memory; in addition, dependency analysis, program transformations and newer programming models (e.g. PGAS, CUDA, OpenCL, OpenACC) are covered. In the end you will be able to create programs with MPI and OpenMP, assess their performance and analyze and optimize parallelized applications.5 ECTSno date this semesterIN2147Robotic 3D VisionNo ratings for this module yet.Elective Modules ComputationIn this module you will learn methods of 3D image processing for robotics. Focus areas are multi-view geometry, visual localization and mapping (SLAM) with monocular, stereo, RGB-D and inertial sensors, as well as 3D object recognition and tracking. In the end you will be able to practically work on basic tasks such as visual odometry, SLAM and 3D object pose estimation and understand the underlying theories.5 ECTSno date this semesterIN2355Security EngineeringNo ratings for this module yet.Elective Modules ComputationYou 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 semesterIN2178Sensorgeführte Robotische Manipulation und LokomotionNo ratings for this module yet.Elective Modules ComputationYou learn how complex robotic systems (e.g., humanoid robots) can be modeled and motion-controlled, especially for manipulation and locomotion in unknown environments. In the end you will be able to distinguish the most important algorithmic methods for sensor-guided manipulation and movement and practically work on simple tasks.3 ECTSno date this semesterIN2068Social ComputingNo ratings for this module yet.Elective Modules ComputationYou 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 semesterIN2241
10 more modules match, but they are taught in German. Show themAnerkennung aus dem Wahlbereich ComputationNo ratings for this module yet.Elective Modules Computationno date this semesterIN99585Anerkennung aus dem Wahlbereich ComputationNo ratings for this module yet.Elective Modules Computationno date this semesterIN99586Anerkennung aus dem Wahlbereich ComputationNo ratings for this module yet.Elective Modules Computationno date this semesterIN99587Anerkennung aus dem Wahlbereich ComputationNo ratings for this module yet.Elective Modules Computationno date this semesterIN99588Ausgewählte Themen aus dem Bereich Sicherheit und DatenschutzNo ratings for this module yet.Elective Modules Computation5 ECTSno date this semesterIN3470Einsatz und Realisierung von DatenbanksystemenNo ratings for this module yet.Elective Modules ComputationDu 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 semesterIN2031Fortgeschrittene Themen des SoftwaretestsNo ratings for this module yet.Elective Modules ComputationDu 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 semesterIN2084Industrielle BildverarbeitungNo ratings for this module yet.Elective Modules ComputationIn dem Modul lernst Du praxisrelevante Methoden und Algorithmen der industriellen Bildverarbeitung kennen. Du verstehst die typischen Einsatzgebiete (z. B. Lageerkennung, Form- und Maßprüfung, Beschriftungs- und Objekterkennung) und kannst Bildverarbeitungsaufgaben analysieren, bewerten und Lösungen entwickeln.6 ECTSruns this semesterIN2369Mobile verteilte SystemeNo ratings for this module yet.Elective Modules ComputationDu lernst die Grundlagen und Kernkonzepte mobiler verteilter Systeme, insbesondere Mobilität, drahtlose Kommunikation und mobile Betriebssysteme. Am Ende kannst Du Probleme und Lösungsansätze dieser Systeme einschätzen und die Grundlagen auf neue Entwicklungen in drahtloser Kommunikation und mobilen Betriebssystemen anwenden.5 ECTSno date this semesterIN2098Numerisches ProgrammierenNo ratings for this module yet.Elective Modules ComputationDu lernst grundlegende Konzepte und Algorithmen des numerischen Programmierens. Dazu gehören Gleitpunktarithmetik, Interpolation, numerische Integration, Verfahren zur Lösung linearer Gleichungssysteme, Gewöhnliche Differentialgleichungen, iterative Verfahren sowie das symmetrische Eigenwertproblem. Am Ende kannst du die wichtigsten Algorithmen anwenden und implementieren und ihre Stabilität und Kondition abschätzen.6 ECTSruns this semesterIN0019