Linear Algebra and Machine Learning

A project class taught as "flip the classroom" which introduces the students to Machine Learning through the prism of linear algebra.

Reference: P. Wolenski (LSU)

Analysis and Scientific Computing

Class for senior undergrads that contained basics of distributions, Lebesgue and Sobolev spaces, linear PDEs, finite elements and numerical methods for ODEs.
References: G. Stolz (Ecole des Ponts)


I taught calculus III at LSU, calculus I at U of A and its equivalent at Universite Paris Dauphine (France).

Reference: C. Delzell (LSU)

Math clinic

Undergraduate research projects held during the summer. The objective is to get students to work on real life problems and get some experience before applying for jobs.

Reference: P. Wolenski (LSU)