PV205 Seminar on Complex systems

Faculty of Informatics
Autumn 2008
Extent and Intensity
0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
doc. Mgr. Radek Pelánek, Ph.D. (lecturer)
Guaranteed by
prof. Ing. Václav Přenosil, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Thu 16:00–17:50 B411
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 39 fields of study the course is directly associated with, display
Course objectives
The study of complex systems is a new interdisciplinary area of research. This research is enabled by information technology, the technology allows us to analyze, model and simulate complex systems. The goals of the seminar are the following: to learn about the area of complex systems; to practice system thinking and critical thinking; to practice communication and presentation skills.
Syllabus
  • Overview of complex systems, tools for the study of complex system, outlook.
  • Specific case studies from different domains: economics, traffic, ecology, environmental studies, sociology, artificial complex systems.
  • Relations among topics, generalizations.
Literature
  • GRIMM, Volker. Individual-based modeling and ecology. Edited by Steven F. Railsback. Princeton, N.J.: Princeton University Press, 2005, xvi, 428. ISBN 069109666X. info
  • GILBERT, G. Nigel and Klaus G. TROITZSCH. Simulation for the social scientist. 2nd ed. Maidenhead: Open University Press, 2005, xi, 295. ISBN 0335216005. info
  • Computational modeling of genetic and biochemical networks. Edited by James M. Bower - Hamid Bolouri. Cambridge: Bradford Book, 2001, xx, 336. ISBN 0262524236. info
Assessment methods
student's presentations, class discussion, simulation game, essay, mutual feedback
Language of instruction
Czech
Further Comments
Study Materials
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~xpelanek/PV205/
The course is also listed under the following terms Autumn 2007, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013.
  • Enrolment Statistics (Autumn 2008, recent)
  • Permalink: https://is.muni.cz/course/fi/autumn2008/PV205