Shahid Beheshti University

Department of Physics

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Advanced course on Computational Physics (Winter-Spring 2021)

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Advanced course on Computational Physics for Ph.D. and MS students  (Winter-Spring 2021)

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

Link for class

Link for my previous lectures on Computational Physics (SBU-VPN needed)

Link for my previous lectures on Computational Physics (In my homepage)

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
  • Machine learning in Physics
Other related materials and courses
  • Researches methods course (Link)
  • Critical Phenomena and Phase transitions (Link)
  • Data Analysis workshop (Link)
  • Data Sciences (Link)
  • Challenges in training and researches in Physics (Link)

Some of my lectures on the Board

For more details see my other lectures (Link)


#Set 1 (Download) List_arrange (Download)

#Set 2 (Download), data (Download)

#Set 3 (Download)

#Set 4 (Download) fitinput (Download), sin.txt (Download), Data package (Download)

#Set 5 (Download) data (including 0.2.txt, 0.5.txt and 0.8.txt) (Download), Sunspot (Download)

#Set 6 (Download) data (Download)

#Set 7 (Download)

#Set 8 (Download) fitinput (Download)



Last Updated on Thursday, 31 March 2022 15:06