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== History ==
The program began in 2011 as a Mentoring Environments Grant (MEG) from the BYU Office Research and Creative Activities (ORCA) <ref> [https://orca.byu.edu/ BYU
At the same time the BYU Mathematics Department began the phaseout of their IMPACT program,<ref> [http://impact.byu.edu/ BYU IMPACT
During 2011 funding was secured by the [[BYU_College_of_Family,_Home_and_Social_Sciences|College of Family Home and Social Sciences]] to conduct a conference dealing with some aspect of economics. These funds were earmarked by the Department of Economics for a macroeconomics conference. By pooling funds and with the help of Hoover Institution computational economist, [[Kenneth Judd]], the MCL was able to host the initial Computational Public Economics Conference (CPEC) in [[Park City, Utah]] in December 2012. The keynote speaker was Nobel laureate, [[Thomas Sargent]], of [[New York University]].<ref>[http://mcl.byu.edu/CPEC2012/ CPEC 2012 website]</ref>
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Boot Camp is open to all BYU students who have the necessary background including core courses in economics and mathematics. Experience with an object-oriented programming language is strong recommended, but not a strict requirement. Students take six credit hours of courses, three in mathematics and three in economics. Lectures are on Monday, Wednesday and Friday from 8:00 a.m. to noon. Computations Labs are held on Tuesday and Thursday during the same time period.
Students use [[Python_(programming_language)|Python]] as their primary programming language, but [
Mathematical topics covered include: inner product spaces, spectral theory, convex analysis, constrained and unconstrained linear and nonlinear optimization and dynamic programming.
Economic topics include: overlapping generations modeling, dynamic stochastic general equilibrium ([[DSGE]]) modeling, DSGE numerical methods, curve and distribution fitting, time-series filtering, [[Vector_autoregression#Structural|structural VAR estimation]], and parallel programming techniques for DSGE models.
== December Conference ==
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