Science without Borders - Computational Science and Engineering
Computational Science and Engineering is an essential pillar in both scientific research and advanced industrial development. The course package gives both a basic knowledge of this field – and a specialization needed to successfully complet projects in research and development.
Computational Science and Engineering (CS&E) is by nature interdisciplinary. The main goals of CS&E are understanding, analyzing, predicting the behavior of, and finally optimizing complex systems.
CS&E combines different disciplines such as computer science including numerical analysis, applied mathematics, physics and technology. The applications are found literally everywhere and typically deal with complicated and/or complex systems. Applications include image analysis, optimization of industrial processes, risk analysis, web-based information search, the mechanism behind aurora borealis, pricing of financial derivatives, computer games, and, special effects in movies.
The course package begins with four compulsory courses that provide both basic knowledge and a solid foundation for the specialized courses that follow.
The package comprises two different paths for the second semester. The first path focuses on analyzing both the mathematical models (partial differential equations) used to describe the complex systems and the efficient implementation of algorithms on parallel computers. The second path considers stochastic processes, time series analysis and data intensive methods in statistics.
