The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.
Prerequisites: Prerequisite: Open to graduate students only.
Grading Basis: Graded
Advanced math topics including Laplace, Fourier and z-Transform methods, probability theory, ordinary differential equations and systems of ODEs, partial differential equations, vector calculus, elements of statistics, linear and non-linear optimization, matrix theory, and special functions like Bessel, Legendre, and gamma. This course is set up as modules. Students will be required to complete certain modules depending on their background and concentrations.
Last Refreshed: 19-AUG-19 05.20.12.749730 AM
|Term||Class Number||Campus||Instruction Mode||Instructor||Section||Session||Schedule||Enrollment||Location||Grading Basis||Notes|
|1198 13529 1 001||Fall 2019||13529||Storrs||Online||Tonn, David||001||Reg||6/30||ONLINE||Graded||online class|
|1203 11794 1 001||Spring 2020||11794||Storrs||Online||Tonn, David||001||Reg||12:00am‑12:00am
||0/30||Graded||combined with ENGR 5314-001|