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Select Courses


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.

Neural Computation & Learning

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

Fourier Analysis & Its Applications

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.

Current Courses

Class information & syllabus:

ESE 530 (fall): elements of probability

ESE 301 (spring): introduction to probability

Downloadable material

Textual material: syllabi, essays, problem sets, and lavish solutions.

Current Courses
Neural Networks
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