Modelling and Simulation
Faculteit  Science and Engineering 
Jaar  2019/20 
Vakcode  INMMS08 
Vaknaam  Modelling and Simulation 
Niveau(s)  master 
Voertaal  Engels 
Periode  semester I a 
ECTS  5 
Rooster  rooster.rug.nl 
Uitgebreide vaknaam  Modelling and Simulation  
Leerdoelen  At the end of the course, the student is able to: 1. Explain and use key modelling strategies and mathematical/computational techniques 2. Understand and modify existing abstract models of complex real world systems or formulate novel models in a variety of scientific disciplines. 3. Know how to identify and formulate relevant research questions and design/modify existing models in order to investigate these systematically. 4. Present the computational investigation of a particular model system appropriately and to present and discuss results of a computer simulation study according to scientific standards. 

Omschrijving  Modelling and simulation techniques play an increasingly important role in a variety of scientific disciplines. This course will cover some of the most important techniques used in the simulation of systems, which could come from physics, chemistry, biology, sociology or other fields. Examples in the course will include, among others, models of deterministic chaos, growth processes, game theory and neural networks. The emphasis, however, will be on the basic concepts and the simulation techniques, rather than on the actual applications. Numerical methods used in the course will include discrete iterations, integration of differential equations, Monte Carlo simulations, etc.  
Uren per week  
Onderwijsvorm  Hoorcollege (LC), Opdracht (ASM)  
Toetsvorm 
Schriftelijk tentamen (WE), Verslag (R)
(Final grade: weighted average of the practicals (weight 2/3) and the written (digital) exam (weight 1/3). In order to pass, students must get a mark of at least 5.5 for both of these separately, and the weighted average has to be at least 5.75. Weighted averages above 4.75 and below 5.75 will result in a final grade 5.0, in all other cases the grade is rounded to the nearest halfinteger value.) 

Vaksoort  master  
Coördinator  prof. dr. M. Biehl  
Docent(en)  prof. dr. M. Biehl ,dr. M.H.F. Wilkinson  
Verplichte literatuur 


Entreevoorwaarden  The course unit assumes prior knowledge in the sense that students should have some basic experience with programming, either in Matlab (recommended but not obligatory) or any mainstream general purpose programming language such as C, C++, Java, Python etc.  
Opmerkingen  
Opgenomen in 
