Courses I have supported as a teaching or learning assistant at the University of British Columbia and the University of Colorado Boulder.
UBCAn introduction to the basic principles and techniques of data mining and machine learning. The course covers many of the core methods behind modern data science, with motivating applications drawn from a variety of d...
CU BoulderPrepares students for the content and pace of the calculus sequence required for engineering majors. Covers algebra, trigonometry, and selected topics in analytic geometry, with rigorous work sessions to review the ma...
Multivariable calculus and vector analysis, including the theorems of Gauss, Green, and Stokes.
Linear algebra and matrix analysis with an emphasis on applications, including methods for solving systems of linear algebraic and linear ordinary differential equations. Covers vector space concepts, decomposition th...
Numerical solution of nonlinear equations, interpolation, numerical integration, numerical solution of linear systems, and matrix eigenvalue problems, with an emphasis on computer applications and software.
Axioms and counting formulas, conditional probability and independence, discrete and continuous random variables, expectation, moment generating functions, the law of large numbers, the central limit theorem, the Pois...