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

4.00 ECTS (3.00 SWS), SPL 26 - Physik
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).

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 Ort in u:find Details
  • Tuesday 10.10. 14:00 - 16:15 Ort in u:find Details
  • Tuesday 17.10. 14:00 - 16:15 Ort in u:find Details
  • Tuesday 24.10. 14:00 - 16:15 Ort in u:find Details
  • Tuesday 31.10. 14:00 - 16:15 Ort in u:find Details
  • Tuesday 07.11. 14:00 - 16:15 Ort in u:find Details
  • Tuesday 14.11. 14:00 - 16:15 Ort in u:find Details
  • Tuesday 21.11. 14:00 - 16:15 Ort in u:find Details
  • Tuesday 28.11. 14:00 - 16:15 Ort in u:find Details
  • Tuesday 05.12. 14:00 - 16:15 Ort in u:find Details
  • Tuesday 12.12. 14:00 - 16:15 Ort in u:find Details
  • Tuesday 09.01. 14:00 - 16:15 Ort in u:find Details
  • Tuesday 16.01. 14:00 - 16:15 Ort in u:find Details
  • Tuesday 23.01. 14:00 - 16:15 Ort in u:find Details

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