A course on selected topics

Advanced course on Selected Topics on Computational Physics and Optimization and Stochastic Fields (Winter-Spring 2024)

The virtual attending every week at Thursday (14:00-16:00) via https://meet.google.com/iph-qqda-zcz

My Lectures

Course 1 (Download)

Course 2 (Download) & (Datatypes.pdf)

Course 3 (Download)

Course 4 (Download) Video (14030109), Video (14030116)

Course 5 (Download), Video (140301)

Course 6 (Download), (Download), (Download) Video (14030130)

Also see

(stochastic991226) see also (level CS), (Level Laser) and (Peak Planck)

Course 7 (Download), Video (14030206)

A good movie presented by Pooyan Goodarzi to connect the server, remotely (Link)
A good link for shell script programming (Link)
Some of my bash samples (Download)
A sample for Linux commands skills (Download)
A good link for programming tutorials (Link)
A good presentation by Kip R. Irvine for number representation (Download)
Hartmann, Alexander K., and Heiko Rieger. Optimization algorithms in physics. Vol. 2. Berlin: Wiley-Vch, 2002.
Hartmann, Alexander K., and Heiko Rieger, eds. "New optimization algorithms in physics." (2004): 134411.
Mezard, Marc, and Andrea Montanari. Information, physics, and computation. Oxford University Press, 2009.
Computational Physics By RUBIN H. LANDAU, MANUEL JOSE PAEZ and CRISTIAN C. BORDEIANU (See this link)
A good presentation by Kip R. Irvine for number representation (Download)
A good text for commands in Fortran, C++, Matlab (Download)
VPython
Some necessary things for programming skills (Download)
A good paper for data analysis in cosmology by Licia Verde, arXiv:0712.3028
Online numerical recipes (http://www.numerical.recipes)
My lectures on Errors and PDF (Download) (Download)
Some of my Python programs (Download)
Visualization by Matlab (link)
Discretization approaches (Download) (Download)
My note about deterministic Fractals (Download) & (see this link)
A good reference for errors analysis (see this link)
A proper series for Machine learning (Part 1), (part 2)
School and Workshop on statistical analysis of stochastic fields (Link) (Link)
A pedagogical matter for MCMC (Link)

Other related materials and courses

Researches methods course (Link)
Data Analysis workshop (Link)
Data Sciences (Link)
Stochastic field Workshop (Link)
Topological Based Data Analysis Workshop (Link)
Challenges in training and researches in Physics (Link)
Critical Phenomena and Phase transitions (Link)

Some of my lectures on the Board

My previous lectures (Link) and (Link) and (Link)

Preliminary Part (Download)
Data Science 1 (Download)
Number Representation (Download) (Download)
Data Science 2 (Download)
Error estimation (error estimation) my note included (error estimation)
TDA (Download)
A script for plotting figure by Python (Download)
Quantum Machine Learning (Part1 & Part2) By Narges Eghbali and Anahid Kiani (Film)
Non-parametric modeling: Gaussian Processes (Download) By Ali Haghighatgoo
Simulation-Based-Inferences workshop by Mohammad Hossein Jalali (Download)