PV205 Seminar on Complex Systems

Faculty of Informatics
Autumn 2011
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
Wed 8:00–9:50 B204
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 24 student(s).
Current registration and enrolment status: enrolled: 0/24, only registered: 0/24, only registered with preference (fields directly associated with the programme): 0/24
fields of study / plans the course is directly associated with
there are 41 fields of study the course is directly associated with, display
Course objectives
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.
  • The course also focuses on the training of presentation skill and academic writing.
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
Teaching methods
student's presentations, video, class discussion, essay, mutual feedback
Assessment methods
presentation, essay
Language of instruction
English
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 2008, Autumn 2009, Autumn 2010, Autumn 2012, Autumn 2013.
  • Enrolment Statistics (Autumn 2011, recent)
  • Permalink: https://is.muni.cz/course/fi/autumn2011/PV205