Modules

9 results

Applications in Computational Science and Engineering - Elective Modules9

Computational Materials DesignNo ratings for this module yet.Computational ElectronicsIn this project-oriented master's module you will learn how high-throughput simulations and data-driven methods combine to predict material properties. By the end you will be able to implement ML models in Python, analyze datasets from the materials sciences, and assess the quality of different models.5 ECTSruns this semesterEI71055Computational Methods for Nanoelectronics: Semiclassical ModelsNo ratings for this module yet.Computational ElectronicsIn this module you will gain an overview of the most important semi-classical numerical methods in nanoelectronics and their application to modern semiconductor devices. You will learn both basic concepts of organic and inorganic semiconductor materials and practical simulation approaches (drift-diffusion, Boltzmann transport, various Monte-Carlo methods) and apply them. In the end you will be able to select appropriate semi-classical methods and numerically solve simple charge-transport problems.5 ECTSruns this semesterEI71094Computational Photonics LaboratoryNo ratings for this module yet.Computational ElectronicsYou receive a practice-oriented introduction to numerical methods for the simulation of photonic components. You model optical components, analyze the underlying effects, and implement simulation codes in Matlab. In the end you will be able to apply common numerical procedures to linear and nonlinear light propagation as well as emission and absorption and to create your own simulation tools.5 ECTSruns this semesterEI7469Practical Course Atomistic Simulation of Nanomaterials and Electronic DevicesNo ratings for this module yet.Computational ElectronicsYou will perform modern atomistic simulations (e.g. based on density functional theory) on nanomaterials and electronic devices. In the end you will be able to calculate material properties and the behavior of heterogeneous electronic devices and properly assess the significance of the simulation results.5 ECTSruns this semesterCIT431011Simulation of Quantum DevicesNo ratings for this module yet.Computational ElectronicsYou learn how quantum effects in nanoscale devices are described and how to apply suitable numerical methods to simulate such systems. Topics range from the Schrödinger equation and its numerical treatment to quantum transport simulations. In the end you can formulate physical models and solve them numerically as well as develop simple own simulation codes.5 ECTSruns this semesterEI70760
4 more in Applications in Computational Science and Engineering - Elective ModulesAnalysis, Modeling and Simulation of Communication NetworksNo ratings for this module yet.Computational ElectronicsYou will learn methods for the analysis, modelling and simulation of communication networks. This includes traffic, channel and mobility models, queuing and graph models as well as various simulation methods and tools. In the end you will be able to analytically and simulatively assess networks and develop your own simulation tools as well as perform result evaluations.6 ECTSno date this semesterEI7450Nano-Optoelectronic Joint Simulation/Experimental LabNo ratings for this module yet.Computational ElectronicsYou participate in a two-week laboratory internship that combines experimental work on thin molecular films with accompanying numerical simulations. In the end you will be able to prepare samples and characterize them structurally as well as electronically/optically, and to compare and interpret the measurement data with DFTB+-based simulations and optical transfer matrix calculations.6 ECTSno date this semesterEI7482Praktikum Design and Simulation of NanodevicesNo ratings for this module yet.Computational ElectronicsYou will learn numerical modeling approaches for the simulation of nano-structured semiconductor devices (e.g., drift-diffusion, Monte Carlo). You will independently perform simulations, evaluate the results, and interpret the influence of design parameters on device performance. In the end you will be able to practically apply simulation tools, visualize results, and report scientifically.5 ECTSno date this semesterEI7274Scientific Computing in Circuit SimulationNo ratings for this module yet.Computational ElectronicsYou learn mathematical modeling and numerical methods for the simulation of electronic circuits. The module covers DAEs, sparse handling of matrices and algorithms for parallel computing, so that you understand and can apply basic modeling and solution strategies for industrial circuit simulations at the end.5 ECTSno date this semesterIN2306