Computational Modelling and Simulation - Focus area
Computational Modelling and Simulation
Applications of mathematics in the analysis, modelling, and solution of complex engineering problems often involve a combination of advanced mathematical techniques, high-performance computing, computer simulations, and methods for optimization, data analysis, and visualization.
Recommended courses
Core competence courses
02443 | Stochastic Simulation | 5 | point | June |
02612 | Constrained Optimization | 5 | point | Spring F4A (Tues 13-17) |
Programme specific courses
01257 | Advanced Modelling - Applied Mathematics | 5 | point | January |
01715 | Functional Analysis | 5 | point | Autumn E4B (Fri 8-12) |
02407 | Stochastic Processes - Probability 2 | 5 | point | Autumn E3A (Tues 8-12) |
02409 | Multivariate Statistics | 5 | point | Autumn E1A (Mon 8-12) |
02417 | Time Series Analysis | 5 | point | Spring F4B (Fri 8-12) |
02421 | Stochastic Adaptive Control | 5 | point | Spring F3A (Tues 8-12) |
02425 | Diffusions and stochastic differential equations | 5 | point | Autumn E1B (Thurs 13-17) |
02427 | Advanced Time Series Analysis | 10 | point | Autumn E5 (Wed 8-17) |
02614 | High-Performance Computing | 5 | point | January |
02616 | Large-scale Modelling | 5 | point | Spring F3A (Tues 8-12) |
02619 | Model Predictive Control | 5 | point | Autumn E2B (Thurs 8-12) |
02623 | The Finite Element Method for Partial Differential Equations | 5 | point | January |
02686 | Scientific computing for differential equations | 5 | point | Spring F1B (Thurs 13-17) |
02687 | Scientific Computing for ordinary and partial differential equations | 5 | point | Spring F1A (Mon 8-12) |
Electives
02689 | Advanced Numerical Methods for Differential Equations | 5 | point | Autumn E2B (Thurs 8-12) |
46700 | Introduction to Electric Power Systems | 10 | point | Autumn E4 (Tues 13-17, Fri 8-12) |
46750 | Optimization in modern power systems | 5 | point | Autumn E3A (Tues 8-12) |
Contact
Allan Peter Engsig-Karup Associate professor Phone: +45 45253073 apek@dtu.dk