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SoSe 2024

Complex dynamics - Einzelansicht

  • Funktionen:
Grunddaten
Veranstaltungsart Vorlesung SWS 4
Veranstaltungsnummer 301016 Max. Teilnehmer/-innen
Semester SoSe 2024 Zugeordnetes Modul
Erwartete Teilnehmer/-innen
Rhythmus jedes 2. Semester
Hyperlink https://moodle.uni-weimar.de/course/view.php?id=49303
Sprache englisch
Termine Gruppe: [unbenannt]
  Tag Zeit Rhythmus Dauer Raum Raum-
plan
Lehrperson Bemerkung fällt aus am Max. Teilnehmer/-innen
Einzeltermine anzeigen
Do. 07:30 bis 10:45 wöch. Marienstraße 7 B - Seminarraum 206  

Will start at 04.04.2024 9:00 am!

 
Gruppe [unbenannt]:
 
 


Zugeordnete Person
Zugeordnete Person Zuständigkeit
Rüffer, Björn, Prof., Dr.rer.nat. verantwortlich
Studiengänge
Abschluss Studiengang Semester Leistungspunkte
M. Sc. Computer Science and Media (M.Sc.), PV 11 - 4,5
M. Sc. Digital Engineering (M.Sc.), PV 17 - 6
M. Sc. Digital Engineering (M.Sc.), PV 19 - 6
M. Sc. Computer Science for Digital Media (M.Sc.), PV 18 - 4,5
M. Sc. Human-Computer Interaction (M.Sc.), PV19 - 6
M. Sc. Computer Science for Digital Media (M.Sc.), PV 2020 - 6
M. Sc. Natural Hazards and Risk Engineering (M.Sc.), PV 2020 2 - 4 6
M. Sc. Digital Engineering (M.Sc.), PV 2023 - 6
M. Sc. Computer Science for Digital Media (M.Sc.), PV 17 - 4,5
Zuordnung zu Einrichtungen
Angewandte Mathematik
Inhalt
Beschreibung

After the course the students will be able to analyse mathematical models that describe dynamic behaviour, as they occur in engineering (e.g. mechanical coupling of building structures), in biology and in physics, but also in multi-agent systems in computer science, or as opinion dynamics in psychology. Based on examples from different disciplines, students learn to build simplified models that allow to answer questions on their long-term behaviour. Students will be able to apply methods of feedback design that help shape the dynamics of a given system, along with the relevant stability concepts. As several topics lend themselves for computer simulation, students of this course will develop a proficiency to both implement and analyse mathematical models using computational tools and software.

Bemerkung

Examples of complex dynamics. Models for dynamical systems in continuous and discrete time. Computer simulation. Control and Feedback. Stability, stabilization, and Lyapunov functions. Coupled systems: Disturbance or Cooperation? Networks of systems. Consensus. Synchronization.   

The topics will be presented in a lecture, deepened by exercises. Some of the exercise include computer programming and simulation.

Voraussetzungen

B.Sc., knowledge in Matlab or Python

Leistungsnachweis

1 written exam

“Complex dynamics”

                120 min (100%) / SuSe + WiSe


Strukturbaum
Die Veranstaltung wurde 17 mal im Vorlesungsverzeichnis SoSe 2024 gefunden:
Complex Dynamics  - - - 1
Elective Modules  - - - 2
Electives  - - - 3
Electives  - - - 4
Specialization  - - - 5
Modeling  - - - 7
Electives  - - - 8
Complex Dynamics  - - - 9
Elective Modules  - - - 10
Modeling  - - - 11
Electives  - - - 12
Specialization  - - - 13
Electives  - - - 14

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