IV109 Modeling and Simulation

Faculty of Informatics
Spring 2011
Extent and Intensity
2/1. 3 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium).
doc. Mgr. Radek Pelánek, Ph.D. (lecturer)
Guaranteed by
prof. RNDr. Mojmír Křetínský, CSc.
Department of Computer Science - Faculty of Informatics
Mon 12:00–13:50 B410 and each odd Monday 14:00–15:50 B311 and each even Monday 14:00–15:50 B311
  • Timetable of Seminar Groups:
IV109/lichy_tyden: No timetable has been entered into IS.
IV109/sudy_tyden: No timetable has been entered into IS.
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
Course objectives
At the end of the course students should be able to: understand main concepts of complex systems (particularly "feedback loops"); understand main principles and applications of computational modeling; create a simple computational model; understand several modeling approaches; know several well-know case studies.
  • Introduction, history, role of modeling and simulation in research, applications. Computational models.
  • System thinking, feedback.
  • System dynamics approach: basic principles, case study "Limits to growth". Examples and exercises in Stella.
  • Agent based modeling: basic principles, cellular automata, cooperation, adaptation. Examples and exercises in NetLogo.
  • Modeling of networks: examples of networks and their properties, models of networks.
  • Analysis of models.
  • Application of modeling from different areas (e.g. economics, traffic, epidemiology, biology).
    recommended literature
  • WEINBERG, Gerald M. An introduction to general systems thinking. New York: Dorset House Publishing, 2001. xxi, 279 s. ISBN 0-932633-49-8. info
  • RESNICK, Mitchel. Turtles, termites, and traffic jams : explorations in massively parallel microworlds. Cambridge: Bradford Book, 2000. xviii, 163. ISBN 0-262-68093-9. info
  • BARABÁSI, Albert-László. Linked :how everything is connected to everything else and what it means for business, science, and everyday life. New York: Plume Book, 2003. 294 s. ISBN 0-452-28439-2. info
Teaching methods
lectures, software labs
Assessment methods
40% project (modeling and simulation of a choosen problem), 40% written exam, 20% "reading report"
Language of instruction
Further Comments
Study Materials
The course is taught annually.
Teacher's information
The course is also listed under the following terms Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021.
  • Enrolment Statistics (Spring 2011, recent)
  • Permalink: https://is.muni.cz/course/fi/spring2011/IV109