# Teaching

CMU 36-219 – Probability Theory and Random Processes (Spring/Summer 2020)

This course provides an introduction to probability theory. It is designed for [undergraduate] students in electrical and computer engineering. Topics include elementary probability theory, conditional probability and independence, random variables, distribution functions, joint and conditional distributions, limit theorems, and an introduction to random processes. Some elementary ideas in spectral analysis and information theory will be given.

CMU 36-225 - Introduction to Probability (Summer 2021)

This course is the first half of a year long course which provides an introduction to probability and mathematical statistics for students in economics, mathematics and statistics. The use of probability theory is illustrated with examples drawn from engineering, the sciences, and management. Topics include elementary probability theory, conditional probability and independence, random variables, distribution functions, joint and conditional distributions, law of large numbers, and the central limit theorem.

Graduate teaching assistant and invited lecturer for 36-759, CMU course on Statistical models of the brain (Fall 2016).