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Computer-aided Modelling of Dynamical Systems

Időpont: 2018.05.22 09:00 - 2018.05.26 15:00

Helyszín: Szeged, Bolyai Institute

Continuing the long series of international schools on Mathematics and Computer-Aided Modeling in Sciences, within the EFOP-3.6.2-16-2017-00015 project,

Bolyai Institute, University of Szeged


International Spring School

Computer-aided Modelling of Dynamical Systems

May 22-26, 2018, Szeged

Audience:  researchers, PhD and graduate students in mathematics or other sciences.

Venue: Bolyai Institute, University of Szeged, Szeged, Aradi vértanúk tere 1.

Map and local information will be available soon!

Prerequisites: Knowledge of Mathematica at basic level; courses of master level on differential and difference equations. Programming experience is advantageous.

Length: 24 hours classes, 16 hours teamwork

Language: English

Schedule: 8.30 - 12.00 and 13.00 – 17.00 with a short breaks in the middle.

Deadline for application: April 15, 2018

Planned content:

Days 1-2, Wolfram Mathematica: new features and current developments (by certified instructor);  basic tools for difference and differential equations, applications in hybrid systems, equations with delays, partial differential equations, qualitative methods such as linearization, Lyapunov’s method, bifurcations, etc.

Day 3, MATLAB: Introduction and application to dynamical systems (by official trainer).

Days 4-5, project development: working in teams (4-5 members) led by experts in dynamical modeling. The teams present their development on the closing session.


  • Participation is free. Participants have to mention this support when the participation is referred.
  • Participants receive electronic handouts
  • Participants should bring their laptops with newest Mathematica and MATLAB installed (Kits will be available).
  • Participants have to manage and cover their accommodation and travel by themselves.
  • Application forms should be sent to karsai.janos@math.u-szeged.hu.


Coordinator, contact:
      János Karsai associate professor, University of Szeged, karsai.janos@math.u-szeged.hu