Computational Physics for PhD and MS students  (Winter-Spring 2016)

This course is devoted to advanced and more recent topics in computational methods for physics.

Some topics to teach are 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

Some titles of projects to do:

1- Simulink package

2- Traffic-Jamming simulation

3- Lattice-Boltzmann algorithm

4- N-Body simulation programs

5- Image processes

6- Lattice easy program

7- Ansys: Computational fluid dynamics

8- Providing a code for detrending method

9- Surface growth simulations

10- Monter Carlo simulation in Medicine

11- Neural-Networks and applications

12- Synchronization measures

13- Visualization of coupling in data

14- Simulation of Phonons in lattice

Preliminary Marks (Download)

Exercises:

# Set 1 (Download) List_arrange (Download) Data (Download)

# Set 2 (Download) data (Download) fitinput (Download)

# Set 3 (Download)

# Set 4 (Download)

# Set 5 (Download)

# Set 6 (Download)

# Set 7 (Download)