PV205 Seminar on Complex Systems

Faculty of Informatics
Autumn 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/
The course is also listed under the following terms Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012.

PV205 Seminar on Complex Systems

Faculty of Informatics
Autumn 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/
The course is also listed under the following terms Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2013.

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.

PV205 Seminar on Complex Systems

Faculty of Informatics
Autumn 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/
The course is also listed under the following terms Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2011, Autumn 2012, Autumn 2013.

PV205 Seminar on Complex systems

Faculty of Informatics
Autumn 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/
The course is also listed under the following terms Autumn 2007, Autumn 2008, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013.

PV205 Seminar on Complex systems

Faculty of Informatics
Autumn 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/
The course is also listed under the following terms Autumn 2007, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013.

PV205 Seminar on Complex systems

Faculty of Informatics
Autumn 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/
The course is also listed under the following terms Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013.

PV205 Seminar on Complex Systems

Faculty of Informatics
Autumn 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/
The course is also listed under the following terms Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013.

PV205 Seminar on Complex Systems

Faculty of Informatics
Autumn 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/
The course is also listed under the following terms Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013.

PV205 Seminar on Complex Systems

Faculty of Informatics
Autumn 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/
The course is also listed under the following terms Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013.

PV205 Seminar on Complex Systems

Faculty of Informatics
Autumn 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/
The course is also listed under the following terms Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013.

PV205 Seminar on Complex Systems

Faculty of Informatics
Autumn 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/
The course is also listed under the following terms Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013.

PV205 Seminar on Complex Systems

Faculty of Informatics
Autumn 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/
The course is also listed under the following terms Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013.

PV205 Seminar on Complex Systems

Faculty of Informatics
Autumn 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/
The course is also listed under the following terms Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013.

PV205 Seminar on Complex Systems

Faculty of Informatics
Autumn 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/
The course is also listed under the following terms Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013.

PV205 Seminar on Complex Systems

Faculty of Informatics
Autumn 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/
The course is also listed under the following terms Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013.

PV205 Seminar on Complex Systems

Faculty of Informatics
Autumn 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/
The course is also listed under the following terms Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013.
  • Enrolment Statistics (recent)