Modern dynamics is the idea that the same mathematical language — phase space, stability, and flow — describes systems that look nothing alike on the surface: firing neurons, oscillator networks, evolutionary games, microswimmers at low Reynolds number, and the physics engines inside video games. You'll move between analytical work on nonlinear and coupled systems and simulation-based exploration, with two midterms, two quizzes, and a final anchoring the theory side. It builds on a standard dynamics and differential equations background and is meant as a graduate-level survey that retools those tools for the systems people actually study now, across engineering, biology, and economics.
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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