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What I cannot create, I do not understand.

-- Richard Feynman

Courses

A list of courses I am currently teaching / have taught in the past as the instructor of record:

• Introduction to Economics, Wake Forest University
• Intermediate Macroeconomic Theory, University of Oregon
• Money and Banking, University of Oregon
• Monetary Policy, University of Oregon

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Resources

Here are some (free) resources from which I’ve benefited greatly over the years, both as a teacher and a student:

Macro, Financial, and Monetary Economics

• Comprehensive Archive of Federal Open Market Committee Materials (minutes, policy statements, projections, etc.)

• Intemediate Macroeconomics (latest manuscript) – Garin, Lester, and Sims

• Lectures on the The Federal Reserve and the Financial Crisis (Parts 1-4) – Ben Bernanke

• Financial Markets (Yale) – Robert Shiller

• The Failure of Silicon Valley Bank: Everything You Need to Know about Banking and Bailouts (Yale) – Andrew Metrick

• Statistical Modeling of Monetary Policy and its Effects – Chris Sims

• PhD Monetary Economics – John Cochrane & Tom Sargent

• Lectures Notes on Graduate Macroeconomics – Christopher Carroll

• Notes on Computational Methods for Macroeconomics – Makoto Nakajima

• PhD Macro Theory II – Eric Sims

• PhD Advanced Macro – Eric Sims

• The Bank Lending Channel – Jeremy Stein

Time Series Econometrics/Analysis

• Time Series for Macroeconomics and Finance – John H. Cochrane

• Applied Bayesian Econometrics for Central Bankers – Andrew Blake and Haroon Mumtaz

Other Econometrics

• Panel Data Econometrics – Chris Conlon

• Econometrics Books (A list of econometrics books by topic)

Julia

• Introduction to Computational Thinking (MIT) – Alan Edelman, David Sanders, and Charles Leiserson

• First Semester in Numerical Analysis with Julia – Giray Ökten

• Quantitative Economics with Julia – Jesse Perla, Tom Sargent, and John Stachurski

• My weekly coding labs for PhD Comp Econ Field Course at University of Oregon

• Fundamentals of Numerical Computation (Julia Edition) – Tobin Driscoll and Richard Braun

R

• Data Science for Economics – Grant McDermott

• Organizing your R code into a package – Eli Holmes

• R Packages (2ed) – Hadley Wickham and Jennifer Bryan

• My weekly coding labs for undergraduate introductory econometrics at University of Oregon.

• R for Data Science (2ed) – Hadley Wickham, Mine Cetinkaya-Rundel, Garrett Grolemund

Typesetting

• Take Notes in Mathematics Lectures using LaTeX and Vim

• MathJax basic tutorial and quick reference

• List of LaTeX mathematical symbols

Miscellaneous

• PhD Research and Writing Seminar – Eric Sims

• Data Science Texts

• The Missing Semester of Your CS Education (MIT)

• Hands-on Scientific Computing

• Probability, Mathematical Statistics, Stochastic Processes

• Advanced Bash Scripting Guide

• The Big Picture of Linear Algebra – Gilbert Strang (This simple video helped me ace linear algebra in 2017 :))

• Spurious Correlations – Tyler Vigen