###### TEACHING

- Operations Research Deterministic Models. APMA 1210.

Fall 2020. See Canvas for website.

An introduction to the basic mathematical ideas and computational methods of optimizing allocation of effort or resources, with or without constraints. Linear programming, network models, dynamic programming, and integer programming.

- Combinatorial Theory. APMA 2822C.

Spring 2020. See Canvas for website.

An introduction to combinatorial theory at the graduate level. Areas to be covered include: posets and lattice theory, enumeration and generating functions, matroids and simplicial complexes, followed by selected topics in the field.

- Introduction to Discrete Structures and Probability CS 22

CS22 gives you the tools to solve interesting problems.
You will learn to see the world differently, no longer accepting what is presented to you, but instead questioning, building, and exploring.
Ever wanted to construct a solid, bullet-proof argument? Felt the need to count really large things? Wondered about the math behind spam filters and RSA cryptography? If so, join us on a wonderful adventure as we go down the rabbit hole into Probability, Combinatorics, Logic, Graph Theory and more!

- Statistical Inference I
APMA 1650

APMA 1650 begins an integrated first course in mathematical statistics. The first half of APMA 1650 covers probability and the last half is statistics, integrated with its probabilistic foundation. Specific topics include probability spaces, discrete and continuous random variables, methods for parameter estimation, confidence intervals, and hypothesis testing.

Beginning the 2015-2016 academic year, students may opt to enroll in APMA 1655 for more in depth coverage of the above topics. Enrollment in 1655 will include an optional recitation section and required additional individual work. Applied Math concentrators are encouraged to take 1655.

Beginning the 2015-2016 academic year, APMA 1650/1655 will be offered both semesters.

- Seeing Theory
Seeing Theory

Seeing Theory is a project designed and created by Daniel Kunin (former APMA 1650 student) with support from Brown University's Royce Fellowship Program. The goal of the project is to make statistics more accessible to a wider range of students through interactive visualizations written in D3. The project is a work in progress, if you have any feedback for Daniel please see the About page to take a survey of your experience.