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Syllabus for

Academic year
FFR120 - Simulation of complex systems
 
Owner: FCMAS
5,0 Credits (ECTS 7,5)
Grading: TH - Five, Four, Three, Not passed
Level: B
Department: 16 - PHYSICS


Teaching language: English

Course module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 No Sp
0199 Examination 5,0 c Grading: TH   5,0 c   Contact examiner,  Contact examiner

In programs

FCMAS MSc PROGRAMME IN COMPLEX ADAPTIVE SYSTEMS, Year 1 (compulsory)
FIMAS MSc PROGR IN INDUSTRIAL ECOLOGY, Year 1 (elective)
TDATA COMPUTER SCIENCE AND ENGINEERING - Other elective courses, Year 4 (elective)
TTFYA ENGINEERING PHYSICS, Year 4 (elective)

Examiner:

Professor  Martin Nilsson Jacobi



Eligibility:

For single subject courses within Chalmers programmes the same eligibility requirements apply, as to the programme(s) that the course is part of.

Aim

The aim of the course is to teach students methods for modelling and computer simulation of complex systems, in particular systems where the behavior of many individuals is relevant. Methods for analyzing and presenting data from simulations are also included. Applications studied will include large-scale traffic simulations, simulations of economic markets, models of Internet use, industrial organization, and environmental applications

Content

In particular the course will treat the following topics:
- game theory for modelling of interactions between individuals or agents in biology, economics, and computer science
- simple models of human learning and behavior; adaptive agents based, e.g. on neural networks
- problem solving in systems of cooperating agents
- simple modelling techniques for dynamical systems with spatial extension
- cellular automata and coupled map lattices
- visualisation of simulation results, virtual reality
- simulation of complex technical and societal systems, industrial applications
- simulations on parallel computers

Organisation

Invited lecturers will describe simulations in industrial applications. The course contains a large modelling and simulation project where the students build models of complex systems of adaptive agents and carry out simulations.

Literature

Lecture notes and articles from the research literature.

Examination

Oral and written presentation of project. Oral examination.


Page manager Published: Mon 28 Nov 2016.