The complete suite of video lectures comprising the MOOC of this name that was first offered on Coursera in 2015, together with ancillary textual material and problem sets.

A collection of essays and class notes on the foundations of modern neural computation and learning theory, accompanied by problem sets and detailed solutions.

A collection of essays and class notes on the fertile landscape of Fourier theory, accompanied by a rich collection of problems and exquisitely detailed solutions.

Class information & syllabus:

ESE 530 (fall): elements of probability

ESE 301 (spring): introduction to probability