Collection of publicly available learning resources in computational economics and structural modeling

	Description	Links
	DSE summer schools Slides and code from the Econometric Society summer schools in Dynamic Structural Econometrics by many lecturers including John Rust, Michael Keane, Victor Aguirregabiria, Arial Pakes Matlab, Python
	QuantEcon Lectures and computational tools for modern macroeconomics and data science by Tom Sargent, John Stachurski and the team Python, Julia
	Econ-ARK Open-source toolkit for macroeconomic heterogeneous agent models by Christopher Carroll and the team Python
	Open Source Economics A set of economic modeling packages and tools for development, analysis, and application of computational economic models. by Philipp Eisenhauer, Gregor Boehl, Janos Gabler, Annica Gehlen and the team Python
	NumEconCopenhagen Course in programming and numerical analysis at the Copenhagen University by Jeppe Druedahl and Christian Langholz Carstensen Python
	Open Source Macroeconomics Lab Summer Boot camps in computational economics at University of Chicago by Richard Evans and invited lecturers Python
	MacOS setup guide Excellent collection of tricks on how to set up a new Mac by Sourabh Bajaj + community MacOS
	Structural Econometrics course Lecture slides and video , with some coded examples by Robert A. Miller Python
	Numerical Methods in Economics course Lecture slides and video , with coded examples by Ken Judd
	Computational Economics for PhDs course Slides and video for the course taught at Sciences Po by Florian Oswald Julia
	Programming and Numerical Analysis course taught at the Copenhagen University by Jeppe Druedahl and Christian Langholz Carstensen Python
	FinanceAndPython Short courses on finance, data science and business analytics in Python by Sean McOwen Python
	CSCS-USI HPC Summer School 2020 Lecture slides and code for the online course on high power computing, machine learning and data analytics at The Swiss National Supercomputing Centre (ETH Zurich / CSCS) and Università della Svizzera italiana (USI) Python
	Introduction to Deep Learning Short introductory course, slides and code by Simon Scheidegger Python
	Computer code for published and working papers by Serguei Maliar and coauthors Matlab
	Computer code from various articles, collected on the personal website by Victor Aguirregabiria and referenced authors Matlab, Python, Julia, Gauss
	Lectures on dynamic programming and econometrics posted on YouTube with lecture notes on Github by Bertel Schjerning Matlab, Python
	Lectures and short videos on numerical and machine learning methods, posted on YouTube by Anders Munk-Nielsen Matlab, Python
	Dynamic programming and optimization in a series of blog posts with open source code by Patrick Kofod Mogensen Julia
	Матан и Диффуры Lecture notes in mathematical analysis and differential equations (in Russian) by Илья Щуров