Lectures

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Lecture 1: Computation as a tool for discovery in physics

Lecture 2: Numerical methods for ordinary differential equations

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Lecture 3: Introduction to deterministic chaos

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Lecture 5: Vibrational eigenmodes: From glasses to Fermi-Pasta-Ulam Problem

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Lecture 6: Introduction to Fourier analysis

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Lecture 7: Random Numbers, Random Walks, Monte Carlo, and all that

Lecture 8: Monte Carlo Simulations in Statistical Physics: Magnetic Phase Transitions in the Ising Model

Lecture 9: Computational Methods for Quantum Mechanics

Lecture 10: Interdisciplinary Topics in Complex Systems

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