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Computational Physics

The aim of course is to teach students how to deal with physics problems by  aid of computer programming.

In this course we use mostly python language.

Prerequisites: 

Students should know about computer program language.

However, we use Python examples to explain concepts.
Therefore we teach Python, Numpy, and Scipy briefly:

Python for Scientists

Also, we mostly use LINUX, so we also teach some useful things about LINUX:

LINUX for Scientists

Grading Policy: 

85%  homework assignments and 15% final exam

Teacher Assistants: 

Some usefull links:

A Guide to Monte Carlo Simulations in Statistical Physics by David P. Landau and Kurt Binder

Time: 

Sunday 10-11:30

Tuesday 10-11:30

Term: 
Winter 2020
Grade: 
Graduate

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