Modules

11 results

Applications in Computational Science and Engineering - Elective Modules11

Bildverarbeitung in der PhysikNo ratings for this module yet.Computational PhysicsYou will learn basic and advanced techniques of image processing and image reconstruction with a focus on applications in physics. In the end you will be able to apply filter- and Fourier-based methods, interpolation, segmentation, noise and resolution analysis, tomographic reconstruction as well as fundamental concepts of wave propagation and phase-contrast imaging, and assess their respective strengths and limitations.5 ECTSruns this semesterPH2181Computational Plasma PhysicsNo ratings for this module yet.Computational PhysicsYou will learn numerical methods for solving and applying models from plasma physics. The focus is on the discretization of partial differential equations (e.g., Poisson, conservation and kinetic equations) and the implementation of these procedures in Python. In the end you will be able to derive an appropriate numerical method for a concrete model, implement it, and test and verify the code.5 ECTSruns this semesterMA4304Mathematik der Klima- und ErdsystemwissenschaftenNo ratings for this module yet.Computational PhysicsYou will learn mathematical methods for the analysis and modeling of nonlinear processes in the climate and Earth system. In the end you will be able to explain the basics of energy balance modeling, nonlinear and stochastic dynamics as well as fundamental equations of fluid mechanics, and mathematically analyze time series from climate and Earth system processes.9 ECTSruns this semesterED110088Computational and Analytical Methods in ElectromagneticsNo ratings for this module yet.Computational PhysicsYou will learn mathematical and numerical methods for the analysis and solution of electromagnetic field problems. In the end you will be able to assess, apply and adapt analytical solutions (e.g., using Green's functions, Mie series) and advanced numerical methods (FDTD, FEM, MoM) for altered geometries and material configurations.6 ECTSno date this semesterEI73181Computerbasierte MaterialphysikNo ratings for this module yet.Computational PhysicsYou learn modern theoretical methods of computer-based materials physics and how to apply them. The focus is on density functional theory and ab initio molecular dynamics for the microscopic description of physical and chemical properties of real materials. In the end you can assess the fundamentals, possibilities and limitations of these methods and independently perform and interpret simple calculations on material systems.5 ECTSno date this semesterPH2289
6 more in Applications in Computational Science and Engineering - Elective ModulesComputergestützte Methoden in der VielteilchenphysikNo ratings for this module yet.Computational PhysicsYou will learn computer-based methods for investigating many-particle systems, from numerical algorithms to machine learning techniques. In the end you will be able to apply typical algorithms and understand and assess the underlying concepts.10 ECTSno date this semesterPH2264Geometric Methods for Physics of Magnetized PlasmasNo ratings for this module yet.Computational PhysicsYou will learn to apply geometric methods (Hamiltonian and Lagrangian formalism) for the systematic reduction of complex multi-scale dynamical systems based on magnetized plasmas. You understand perturbative Lie-Transform methods, the derivation of field and kinetic equations from variational principles as well as the associated conservation laws; in addition you will see how continuous variational descriptions can be transferred to discrete formulations and implemented numerically, e.g. in Particle-In-Cell Monte-Carlo simulations.5 ECTSno date this semesterMA5333Molekulardynamik-SimulationenNo ratings for this module yet.Computational PhysicsYou will learn how molecular simulations are constructed, performed, and analyzed. After the module you will be able to plan, carry out independently, and evaluate thermodynamic as well as kinetic quantities from simulations using methods such as molecular dynamics, Monte Carlo, and Brownian dynamics.5 ECTSno date this semesterPH2019Particle in Cell Methods for the Vlasov-Maxwell EquationsNo ratings for this module yet.Computational PhysicsIn this module you will learn numerical Particle-in-Cell methods for the Vlasov–Maxwell equations. You will understand both deterministic and stochastic particle methods, structure-preserving discretizations with the discrete de-Rham complex, and you will be able to formulate and implement in Python geometric algorithms for Vlasov–Maxwell problems.5 ECTSno date this semesterCIT413049Rechnergestützte AstrophysikNo ratings for this module yet.Computational PhysicsYou will learn how astrophysical questions can be realistically modeled with numerical methods. In the end you will know central algorithms for handling gravity, hydrodynamics, magnetohydrodynamics, relativistic flows, nuclear reactions and radiation transport and you will be able to build and apply simple numerical codes for such processes.5 ECTSno date this semesterPH2077Rechnergestützte Physik 2No ratings for this module yet.Computational PhysicsYou will learn advanced numerical methods for classical and quantum mechanical problems. Topics range from random numbers, Fourier transforms and Monte Carlo techniques to nonlinear systems, chaos theory and fractals up to finite elements, wavelets, neural networks and fundamentals of lattice gauge theory. By the end you will be able to formulate such models numerically, implement them and assess them.5 ECTSno date this semesterPH2090