Courses

As part of the Statistics department, I teach introductory and advanced level courses for both undergraduate and graduate audiences. See the descriptions below for each of the courses to learn more.

spring

Bayesian modeling.

Graduate course.

Statistical Learning.

Undergraduate course.

fall

Foundations of Statistics.

Graduate course.

Stochastic Simulation.

Undergraduate course.

Past courses:

• Statistical Learning Theory. Ba in Applied Mathematics. ITAM. Spring 2021.
• Advanced Bayesian Modeling. Msc in Data Science. ITAM. Spring 2021.
• Deep Learning. Msc in Data Science, Msc in Computer Science and Msc in Applied Economics. ITAM. Spring 2021.
• Inverse problems and Data Assimilaiton. Course co-taught with Andrew Stuart at Caltech during the fall of 2019. Graduate Course.
• Introduction to numerical computing. Course taught at ITAM during the fall of 2013. Undergraduate course for the bachelor of Applied Mathematics.