Master's Math Camp

Co-Taught with Gaurav Bagwe


Lecture Notes ( Based on Dowling and Simon & Blume)

  • Review (Basic Math Concepts)

  • Lecture 1 (Linear Algebra I)

  • Lecture 2 (Differentiation)

  • Lecture 3 (Multivariable Calculus)

  • Lecture 4 (Linear Algebra II)

  • Lecture 5 (Optimization)

  • Lecture 6-7 (Probability )

  • Lecture 8 (Statistical Inference)

  • Lecture 9 (Introduction to Econometrics: OLS) from Principles of Econometrics 4th Ed. by R.Carter Hill , William E. Griffiths & C. Lim

  • Lecture 10 (Intro to Programming: Stata)

    • Lecture Materials (zip type file)

Further Programming Resources:

The purpose of this course is to prepare students for the mathematical rigor of the M.A. in Applied Economics and M.S. in Economics programs. The topics covered will include a review of basic concepts from pre-calculus, linear algebra, differentiation, multivariate calculus, integral calculus, optimization methods, probability theory and statistical inference. Particular emphasis will be placed on the application of these mathematical methods to topics in economics.

Problem Sets