Teaching

This course provides the foundation of the major tools used in some engineering classes. We will cover topics from Complex Analysis, Linear Algebra and Differential Equations.

This course shows that mathematics can be a very practical discipline yet surprising. You will be introduced to a variety of subjects within mathematics with real world applications such as apportionment problems, how to use data and everyday finance.

This course provides the foundation of probability theory and explores some basic concepts in Statistics, like hypothesis testing.

This course will explore how to deal with infinite dimensional vector spaces, particularly through Banach and Hilbert Spaces

This course will explore the mathematics of some advanced important methods such as Monte Carlo Methods, EM method, MCMC method and others.

This course intends to introduce the basic concepts in Stochastic Processes, such as MArkov Chains, Poisson Processes and Brownian Motion.

This course intends to formalize the concepts of Mathematical Statistics such as Point Estimators, Hypothesis Testing and Confidence Intervals.

This is the Graduate Version of MTH 452.

This course will explain how integrals, derviatives and other quantities are approximated in the computer for their computation.

This course is the Graduate Version of MTH 471

This course explores the main algorithms used in Predictive Analytics more from a theoretical point of view rather than from blind application for them.

This course intends to formalize and expand the notions of calculus rigorously.

This course introduces the study of Calculus.

This course continues the study of Calculus.

This course continues the study of Calculus.

This course continues the study of Calculus.