260115 VU Complex Systems I: Foundations, Concepts and Phenomena (2023W)

Continuous assessment of course work

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Registration is open from Mo 04.09.2023 08:00 to Mo 25.09.2023 07:00
Deregistration possible until Fr 20.10.2023 23:59

Details

max. 15 participants

Language: English

Lecturers

Classes (iCal) - next class is marked with N

MUW, 1090 Vienna, Spitalgasse 23, building 88, 3rd floor , room 88.03.513
Preparatory meeting: Tue Oct. 10, 2023, 14:00
begin course: Tue Oct. 17, 2023, 14:00

    
    Tuesday
    03.10.
    14:00 - 16:15
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    Tuesday
    10.10.
    14:00 - 16:15
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    Tuesday
    17.10.
    14:00 - 16:15
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    Tuesday
    24.10.
    14:00 - 16:15
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    Tuesday
    31.10.
    14:00 - 16:15
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    Tuesday
    07.11.
    14:00 - 16:15
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    Tuesday
    14.11.
    14:00 - 16:15
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    Tuesday
    21.11.
    14:00 - 16:15
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    Tuesday
    28.11.
    14:00 - 16:15
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    Tuesday
    05.12.
    14:00 - 16:15
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    Tuesday
    12.12.
    14:00 - 16:15
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    Tuesday
    09.01.
    14:00 - 16:15
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    Tuesday
    16.01.
    14:00 - 16:15
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    Tuesday
    23.01.
    14:00 - 16:15
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Information

Aims, contents and method of the course

The aim of the course is to provide an overview over foundations, concepts and phenomena of complex systems and to prepare the students methodically for the follow-up (applications) course. The introduction to mathematical foundations of the theory of complex adaptive systems will be illustrated with classical applications in complex systems. Topics covered: scaling - probability & random processes - networks - statistical mechanics - evolutionary processes

Assessment and permitted materials

continuous assessment

Minimum requirements and assessment criteria

students are expected to attend the course in person, active contribution in question hours, participation in discussions, solving given problems and presenting the results

Examination topics

topics covered during the course: scaling, probability & random processes, networks, statistical mechanics, evolutionary processes

Reading list

Thurner/Hanel/Klimek, Introduction to the Theory of Complex Systems, Oxford University Press, 2018

Association in the course directory

M-ERG, UF MA PHYS 01a, UF MA PHYS 01b, PM-SPEC

Last modified: Th 19.10.2023 15:08