Labs in Python/Mathematica. The project overviews are as follows:
- Lissajous curves
- Numerical integration
- Numerical solutions to ordinary differential equations (spring system)
- Make files
- Intro to Mathematica (series, rotation matrices)
- Solving trajectories with drag (Mathematica)
- RSA
- Crawling astronomical data
- Discrete Fourier transform (Her X-1 binary star periodicity)
- Canny edge detection
- Bayesian analysis (parameter estimation)
- Markov chain Monte Carlo
- Principal component analysis