# 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 ) by Oscar Torres-Reyna at Princeton University

**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**

- PS Review
- PS 1 Code Ex8: Matlab - Python
- PS 2
- PS 3
- PS 4 Sol Ex 5 & 6
- PS 5 Sol Ex 4
- PS 6
- PS 7 Selected Solutions
- PS 8