Research Repository Template: A reusable GitHub repository template for organizing empirical and structural research projects. It separates task-based source code, raw and derived data, research documentation, and mirrored outputs, with built-in rules for Dropbox/Overleaf workflows and instructions for AI coding agents.
Project Starter Guide: A practical, step-by-step guide to setting up a Windows or Mac computer for collaborative quantitative research. It covers installing VS Code, Git, Python, Julia, and R, managing isolated project environments, initializing or cloning a shared GitHub repository, and following a daily branching and pull-request workflow with coauthors (including WSL2 Ubuntu setup on Windows). Note that you can also install and use other IDEs such as Zed, JetBrains IDEs, Antigravity, etc.
ECON/BNAD 276: Statistical Inference in Management (University of
Arizona, Department of Economics)
In-person Lectures, Summer 2017, Summer 2016 (Course evaluations
available upon request)
This is a course in statistics for business and economics majors. The main goal of this course is to understand basic probability theory and learn how to use statistics to infer information in data. The course consists of two parts: (1) the first half covers basic probability theory and (2) the second part covers topics in statistical inference such as interval estimation and hypothesis testing.
Syllabus, Summer 2017
Course web page & lecture notes, Summer 2017
Syllabus, Summer 2016
Course web page & lecture notes, Summer 2016
BNAD 301: Global and Financial Economics and Strategy (University
of Arizona, Department of Economics)
Online Course, Summer 2018 (Course evaluations available upon
request)
This is one of three upper division courses that are required for the Eller College of Management's minor in Business Administration. This is an application-based course which studies the financial and economic operations of domestic and world markets. The course is fully online.