Computational Physics

I developed a new computational physics course for physics and biomedical physics majors.

This course is using a flipped classroom approach. Lectures are recorded and assessed via short quizzes. Classroom time is entirely devoted to doing exercises and projects.

I take the students from having no idea of programming to doing advanced projects in one semester using MATLAB.

Here are some of the projects the students do:

  • Simulation of site percolation
  • Monte Carlo simulation of single-molecule AFM force measurements
  • Comparing bacterial motion to random walk
  • Computational linguistics: Can a computer distinguish Shakespeare from Poe?
  • Evolutionary game theory
  • Biological pattern formation
  • CT scan reconstruction
  • Neural nets: Hopfield model
  • Nonlinear data fitting
  • Nonlinear differential equations, chaos, and nerve conduction