Computational Physics for PhD and MS students (Fall 2014)
This course is devoted to advanced and more recent topics in computational methods for physics.
Some topics to leach as as follows:
- Solving coupled Differential Equations and Boundary Value problems
- Chaotic phenomena
- Probability Distribution functions and transformations
- Correlation functions, Two-point correlation function
- Spectral analysis
- Monte Carlo simulation
- Basic topics for Molecular dynamics simulations
- Simulation by VPython
- Course subjects and program (Download)
- A good text for commands in Fortran, C++, matlab (Download)
- VPython
- Some necessary things for programming skills (Download)
- Online numerical recipes (http://www.nr.com)
- Computational physics course by Dr. Seyed Akbar Jafari, Sharif University of Technology
- A good note prepared by Dr. Seyed Akbar Jafari (Download)
- Note on Quantum Monte Carlo by Dr. Mehdi Neek Amal (Download)
- My lecture concerning Errors and PDF (Download)
- Some of my Python programs (Download)
Exercise:
# Set 1 (Download) List_arrange (Download)
# Set 2 (Download) data (Download) fitinput (Download)
# Set 3 (Download) data:marks.txt (Download)
# Set 4 (Download)
# Set 5 (Download)
# Set 6 (Download) Fractals (Download)
# Set 7 (Download)
# Set 8 (Download)
# Set 9 (Download)
# Set 10 (Download)