Main Field of Study and progress level:
Physics: Second cycle, has only first-cycle course/s as entry requirements
Computational Science and Engineering: Second cycle, has only first-cycle course/s as entry requirements
Grading scale: Pass with distinction, Pass with merit, Pass, Pass with distinction, Pass, Fail
Responsible department: Department of Physics
Contents
The course gives an introduction to modeling/simulation/analysis, with an emphasis on the first two parts. The contents of the course include direct simulations of discrete-time models (e.g. cellular atomata), event based simulations (both in queueing system and as a method to speed up discrete time models), methods to solve ordinary differential equations, and a short introduction to Markov chain Monte Carlo. There is a strong emphasis on applications and implementations, both with Matlab and with programs that link to numerical libraries.
Required Knowledge
Univ: Single variable calculus, linear algebra, introductory mathematical statistics, introductory programming methodology, introductory numerical methods.
English proficiency equivalent to IELTS Academic Training minimum score 5.0 with no individual score below 4.5 (Tests taken before January 2005 not admissible or TOEFL minimum score 500 on paper based test and not below 4.0 on the TWE, Alternatively 173 on computer based test with iBT61 is also required as well as basic entrance requirements for higher studies in Swedish language proficiency if the course in taught in Swedish.
