Phase Space, Equilibrium and Stability, Geometric Dynamics, Analytical Dynamics, Nonlinear Dynamics and Chaos, Coupled Oscillators and Synchronization, Neurodynamics, Economic Dynamics: Game Theory, Network Dynamics, Evolutionary Dynamics, Dynamics of Microswimmer Robots, Dynamics of Computer Games: Physics Engine.
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Course Learning Outcomes: Course Learning Outcome Assessment The students will explore modern examples of dynamics through mathematical analysis and simulations. Midterm Final The students will work with linear, nonlinear and coupled systems. Midterm Quiz The students will understand the dynamics of signal transmission in neurons. Midterm Quiz The students will formulate game theoretic problems and network models. Midterm Quiz The students will develop basic tools to analyze swimming in low Reyn
Dynamics, State Space and Flow Equilibrium, Stability, Response of Linear Systems Nonliner Dynamics and Chaos Nonlinear Dynamics and Chaos Nonlinear Dynamics and Chaos Coupled Oscillators and Synchronization Neurodynamics Neurodynamics Neurodynamics Neurodynamics Network Dynamics Economic Dynamics & Evolutionary Dynamics Dynamics of Microswimmer Robots Simulating Dynamics Dynamics of Computer Games: Physics Engine ECTS - Workload Table: Activities Number Hours Workload Midterm exam 2 2 4 Quiz 2 ,5 1 Preparation for Final exam 1 15 15 Individual or group work 14 6 84 Final exam 1 3 3 Course hours 14 3 42 Preparation for Midterm exam 2 5 10 Preparation for Quiz 2 2 4 Total Workload: 163 Total Workload / 30: 163 / 30 5.43 ECTS Credits of the Course: 5 Type of Course: Lecture Teaching Methods: Lecturing - Assignment