PV205 Seminar on Complex Systems
Faculty of InformaticsAutumn 2013
- 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 of Seminar Groups
- PV205/01: Tue 12:00–13:50 C416, R. Pelánek
- 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
- recommended literature
- Self-organization in biological systems / Scott Camazine ... [et al.]
- not specified
- Recommender systems handbook. Edited by Francesco Ricci. New York: Springer, 2011, xxix, 842. ISBN 9780387858203. 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/
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/
PV205 Seminar on Complex Systems
Faculty of InformaticsAutumn 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/
PV205 Seminar on Complex Systems
Faculty of InformaticsAutumn 2010
- 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 39 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/
PV205 Seminar on Complex systems
Faculty of InformaticsAutumn 2009
- 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 8:00–9:50 B410
- 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 46 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, class discussion, essay, mutual feedback
- Assessment methods
- presentation, essay
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught annually. - Teacher's information
- http://www.fi.muni.cz/~xpelanek/PV205/
PV205 Seminar on Complex systems
Faculty of InformaticsAutumn 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/
PV205 Seminar on Complex systems
Faculty of InformaticsAutumn 2007
- 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
- Tue 10:00–11:50 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: learning basic information about the area of complex systems, training of system thinking and critical thinking and training of communication skills.
- Syllabus
- Overiview 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 (in Czech)
- Předmět je ukončen kolokviem, které se uděluje za aktivní účast na seminářích, přednesení prezentace a krátkou esej o prezentovaném tématu.
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught annually. - Teacher's information
- http://www.fi.muni.cz/~xpelanek/PV205/
PV205 Seminar on Complex Systems
Faculty of InformaticsAutumn 2023
The course is not taught in Autumn 2023
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Taught in person. - Teacher(s)
- doc. Mgr. Radek Pelánek, Ph.D. (lecturer)
- Guaranteed by
- doc. Mgr. Radek Pelánek, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics - 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 69 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
- recommended literature
- Self-organization in biological systems / Scott Camazine ... [et al.]
- not specified
- Recommender systems handbook. Edited by Francesco Ricci. New York: Springer, 2011, xxix, 842. ISBN 9780387858203. 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
- The course is taught annually.
The course is taught: every week. - Teacher's information
- http://www.fi.muni.cz/~xpelanek/PV205/
PV205 Seminar on Complex Systems
Faculty of InformaticsAutumn 2022
The course is not taught in Autumn 2022
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Taught in person. - Teacher(s)
- doc. Mgr. Radek Pelánek, Ph.D. (lecturer)
- Guaranteed by
- doc. Mgr. Radek Pelánek, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics - 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 69 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
- recommended literature
- Self-organization in biological systems / Scott Camazine ... [et al.]
- not specified
- Recommender systems handbook. Edited by Francesco Ricci. New York: Springer, 2011, xxix, 842. ISBN 9780387858203. 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
- The course is taught annually.
The course is taught: every week. - Teacher's information
- http://www.fi.muni.cz/~xpelanek/PV205/
PV205 Seminar on Complex Systems
Faculty of InformaticsAutumn 2021
The course is not taught in Autumn 2021
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Taught in person. - Teacher(s)
- doc. Mgr. Radek Pelánek, Ph.D. (lecturer)
- Guaranteed by
- doc. Mgr. Radek Pelánek, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics - 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 69 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
- recommended literature
- Self-organization in biological systems / Scott Camazine ... [et al.]
- not specified
- Recommender systems handbook. Edited by Francesco Ricci. New York: Springer, 2011, xxix, 842. ISBN 9780387858203. 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
- The course is taught annually.
The course is taught: every week. - Teacher's information
- http://www.fi.muni.cz/~xpelanek/PV205/
PV205 Seminar on Complex Systems
Faculty of InformaticsAutumn 2020
The course is not taught in Autumn 2020
- 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
- doc. Mgr. Radek Pelánek, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics - 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 69 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
- recommended literature
- Self-organization in biological systems / Scott Camazine ... [et al.]
- not specified
- Recommender systems handbook. Edited by Francesco Ricci. New York: Springer, 2011, xxix, 842. ISBN 9780387858203. 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
- The course is taught annually.
The course is taught: every week. - Teacher's information
- http://www.fi.muni.cz/~xpelanek/PV205/
PV205 Seminar on Complex Systems
Faculty of InformaticsAutumn 2019
The course is not taught in Autumn 2019
- 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
- doc. Mgr. Radek Pelánek, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics - 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 69 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
- recommended literature
- Self-organization in biological systems / Scott Camazine ... [et al.]
- not specified
- Recommender systems handbook. Edited by Francesco Ricci. New York: Springer, 2011, xxix, 842. ISBN 9780387858203. 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
- The course is taught annually.
The course is taught: every week. - Teacher's information
- http://www.fi.muni.cz/~xpelanek/PV205/
PV205 Seminar on Complex Systems
Faculty of InformaticsAutumn 2018
The course is not taught in Autumn 2018
- 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
- 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 - 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 37 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
- recommended literature
- Self-organization in biological systems / Scott Camazine ... [et al.]
- not specified
- Recommender systems handbook. Edited by Francesco Ricci. New York: Springer, 2011, xxix, 842. ISBN 9780387858203. 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
- The course is taught annually.
The course is taught: every week. - Teacher's information
- http://www.fi.muni.cz/~xpelanek/PV205/
PV205 Seminar on Complex Systems
Faculty of InformaticsAutumn 2017
The course is not taught in Autumn 2017
- 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
- 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 - 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 37 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
- recommended literature
- Self-organization in biological systems / Scott Camazine ... [et al.]
- not specified
- Recommender systems handbook. Edited by Francesco Ricci. New York: Springer, 2011, xxix, 842. ISBN 9780387858203. 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
- The course is taught annually.
The course is taught: every week. - Teacher's information
- http://www.fi.muni.cz/~xpelanek/PV205/
PV205 Seminar on Complex Systems
Faculty of InformaticsAutumn 2016
The course is not taught in Autumn 2016
- 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
- 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 - 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 37 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
- recommended literature
- Self-organization in biological systems / Scott Camazine ... [et al.]
- not specified
- Recommender systems handbook. Edited by Francesco Ricci. New York: Springer, 2011, xxix, 842. ISBN 9780387858203. 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
- The course is taught annually.
The course is taught: every week. - Teacher's information
- http://www.fi.muni.cz/~xpelanek/PV205/
PV205 Seminar on Complex Systems
Faculty of InformaticsAutumn 2015
The course is not taught in Autumn 2015
- 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
- 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 - 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 37 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
- recommended literature
- Self-organization in biological systems / Scott Camazine ... [et al.]
- not specified
- Recommender systems handbook. Edited by Francesco Ricci. New York: Springer, 2011, xxix, 842. ISBN 9780387858203. 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
- The course is taught annually.
The course is taught: every week. - Teacher's information
- http://www.fi.muni.cz/~xpelanek/PV205/
PV205 Seminar on Complex Systems
Faculty of InformaticsAutumn 2014
The course is not taught in Autumn 2014
- 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 - 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
- recommended literature
- Self-organization in biological systems / Scott Camazine ... [et al.]
- not specified
- Recommender systems handbook. Edited by Francesco Ricci. New York: Springer, 2011, xxix, 842. ISBN 9780387858203. 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
- The course is taught annually.
The course is taught: every week. - Teacher's information
- http://www.fi.muni.cz/~xpelanek/PV205/
- Enrolment Statistics (recent)