Schedule: Section 03: TTh 11:00am - 12:15pm
This semester I am teaching Math 375: Introduction to Numerical Computing (also listed as CS 375). This is an introductory course covering such topics as solution of linear and nonlinear equations; interpolation and approximation of functions, including splines; techniques for approximate differentiation and integration; solution of differential equations; familiarization with existing software.
Schedule: Section 01: TTh 8:00 - 9:15am
This semester I am teaching Math 462/512: Introduction to Ordinary Differential Equations. This is a first year graduate course designed for students in applied mathematics. It is also one half of the prepatory sequence for the differential equations qualifying exam. Material covered will include: Linear systems. Existence and uniqueness theorems, flows, linearized stability for critical points, stable manifold theorem. Gradient and Hamiltonian systems. Limit sets, attractors, periodic orbits, Floquet theory and the Poincare Map. Introduction to bifurcations.
Intro. to Numerical Computing & Intro. to ODEs
Partial differential equations for engineering & Intro. to Numerical Computing
Partial differential equations for engineering
Introduction to Ordinary Differential Equations & Applied Math Seminar
Introduction to Numerical Computing & Applied Math Seminar
Partial differential equations for engineering
Nonlinear dynamics and the Applied Math Seminar
Partial differential equations for engineering
Second semester calculus including sequences, series, and power series
Second semester calculus including sequences, series, and power series
Second semester calculus including sequences, series, and power series
Second semester calculus including sequences, series, and power series
Calculus-based probability and statistics for Biologists
Calculus 1 for Biologists (& Math Bio. Journal Club)
Calculus 3
Partial Differential Equations for Engineers
Mathematical Biology
Calculus 2, late transcendentals
Mathematical Biology (& Math Bio. Journal Club)