Simulation and Visualization
Become an expert in methods in artificial intelligence, swarm intelligence, machine learning and Monte Carlo-simulation for use in your own field of expertise. Some experience with programming is recommended. The studies are taught in English.
Simulation to solve traffic congestions. Simulation of heat loss in a building. Machine learning for use in medical diagnostics. Training of a dangerous marine operation in a ship simulator. Virtual prototyping to simulate and visualize new product design.
Simulation is used in all engineering disciplines, fields of science, in business, government and education.
In the Master´s program in Simulation and Visualization, you learn simulation methods for use in your own field. The aim of the program is to educate innovative engineers who can apply their expertise in simulation and visualization to solve complex problems.
You can do the Master in Simulation and Visualization after a bachelor´s degree in engineering such as computer science, building, POD or cybernetics, an exact bachelor´s degree like physics or biology, or when you have a job in which you need to apply simulation methods.
The study program for 2017/2018 has been completely revised. The program consists of various methods such as simulation of dynamic systems, artificial intelligence, swarm intelligence, machine learning and Monte Carlo simulation. But you will also learn how a commercial ship simulator works.
You will also learn methods for data visualization and interactive computer graphics, in order to understand simulation results, or for making simulations realistic.
Programming is central to many of the courses. Therefore, you learn programming in the Master’s program, although prerequisit knowledge of programming is highly recommended.
The main objectives of the Master’s program are:
- To develop readily applicable skills in a range of powerful methods for computer simulation within the fields of dynamic systems, stochastic simulation and artificial intelligence, in order to solve complex problems within ones own field of competence, and with direct relevance to industry.
- To be able to conduct simulation experiments within these fields, including system modelling, implementation of algorithms, running simulations, visualization and interpretation of results.
- To be able to build a basic simulator, including a simulation system and computer graphics.
Topics throughout the Master’s program are taught from low-level (theoretical understanding and low-level programming) to high-level (practical application to cases from industry and use of existing software).
Department: Department of ICT and Engineering
Validity of information: 2017/18