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: 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: 18-MAY-22 05.20.05.762533 AM
|Term||Class Number||Campus||Instruction Mode||Instructor||Section||Session||Schedule||Enrollment||Location||Credits||Grading Basis||Notes|
|1223 8845 1 001||Spring 2022||8845||Storrs||Online||Tonn, David||001||Reg||12:00am‑12:00am
||0/5||No Room Required - Online||3.00||Graded|
|1228 7539 1 001||Fall 2022||7539||Storrs||Online||Tonn, David||001||Reg||12:00am‑12:00am
||1/6||No Room Required - Online||3.00||Graded|