Entry requirements

120 credits with Scientific Computing I and II and Quantum Physics or equivalent.

Learning outcomes

On completion of the course, the student should be able to

• account for how numerical methods can be developed
• apply his practical experiences on physical problems
• account for various scientific problems the different methods can be used to solve
• account for the role as computer models and simulations play at studies of physical systems within material technology

Content

Overview and advanced study of numerical methods. The course is focused against practical aspects of computational physics and contain set-up and writing of software to solve physical problems particularly within molecular dynamics, statistical physics and material physics. Different aspects of molecular dynamics simulations, for example the precision of pair-potentials and the length of time steps, will be highlighted. Different aspects of stochastic and deterministic simulations will also be clarified for example Monte Carlo simulations and Langevin simulations with applications on different material properties. Finite Element Methods will also be concerned and methods based on density functional theory.

Instruction

Strong emphasis on computer exercises and project work; in addition teaching sessions and seminars.

Assessment

Computer exercises and project work