FI:PV205 Complex Systems Seminar - Course Information
PV205 Seminar on Complex Systems
Faculty of InformaticsAutumn 2012
- 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
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics - Timetable
- Wed 8:00–9:50 G123
- Prerequisites
- Recommended prerequisite: IV109 Modeling and simulation.
- 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 36 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: decentralized systems, natural complex systems (e.g., social insects), artificial complex systems (e.g., traffic, recommender systems), complex networks.
- The course also focuses on the training of presentation skill and academic writing.
- Literature
- Recommender systems handbook. Edited by Francesco Ricci. New York: Springer, 2011, xxix, 842. ISBN 9780387858203. 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, project (essay or video)
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught annually. - Teacher's information
- http://www.fi.muni.cz/~xpelanek/PV205/
- Enrolment Statistics (Autumn 2012, recent)
- Permalink: https://is.muni.cz/course/fi/autumn2012/PV205