Contact: Per Christian Hansen, DTU Informatics, mail:
Allan Engsig-Karup, DTU Informatics, mail:
Applications of mathematics in the analysis, modeling and solution of complex engineering problems often involve scientific computing – a combination of advanced mathematical techniques, high-performance computing, computer simulations and methods for optimization, data analysis and visualization. The development and use of these models and computational methods require a combination of modern mathematics and numerical analysis, as well as computer programming – collectively known as scientific computing. This focus area provides the student with a solid understanding of the underlying abstract and applied mathematical tools, as well as techniques that provide the necessary basis for the modeling of the problems and the design of efficient computer algorithms.
Recommended courses:
General competence courses:
01715 Functional Analysis
02610 Optimization and Data Fitting
02623 The Finite Element Method for PDEs
Technological specialization courses:
01257 Advanced Modelling – Applied Mathematics
01458 Advanced Modelling – PDEs
01716 Advanced Topics in Applied Functional Analysis
02612 Constrained Optimization
02614 High-Performance Computing
02616 Large-Scale Modeling
02619 Model Predictive Control
02625 Computational Science in Imaging
02685 Scientific Computing for Differential Equations
02689 Advanced Methods for PDEs