IV109 Modeling and Simulation

Faculty of Informatics
Spring 2016
Extent and Intensity
2/1. 3 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Teacher(s)
doc. Mgr. Radek Pelánek, Ph.D. (lecturer)
RNDr. Jiří Glozar (assistant)
Guaranteed by
doc. RNDr. Aleš Horák, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Wed 10:00–11:50 D2
  • Timetable of Seminar Groups:
IV109/02: each odd Tuesday 12:00–13:50 B311, R. Pelánek
IV109/03: each odd Tuesday 16:00–17:50 B311, R. Pelánek
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 90 student(s).
Current registration and enrolment status: enrolled: 0/90, only registered: 0/90, only registered with preference (fields directly associated with the programme): 0/90
fields of study / plans the course is directly associated with
there are 37 fields of study the course is directly associated with, display
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.
Syllabus
  • Introduction, history, role of modeling and simulation in research, applications. Computational models.
  • Complex systems, system thinking, feedback loops.
  • 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 and evaluation of models.
  • Application of modeling from different areas (e.g. economics, traffic, epidemiology, biology).
Literature
    recommended literature
  • PELÁNEK, Radek. Modelování a simulace komplexních systémů. Jak lépe porozumět světu (Modeling and simulation of complex systems). 1st ed. Brno: Masarykova univerzita, 2011, 236 pp. mimo edice. ISBN 978-80-210-5318-2. 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 assignments during semester
Language of instruction
Czech
Further Comments
Study Materials
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~xpelanek/IV109/
The course is also listed under the following terms Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.
  • Enrolment Statistics (Spring 2016, recent)
  • Permalink: https://is.muni.cz/course/fi/spring2016/IV109