Graduate Course Descriptions

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.

5320. Quantitative Methods for Engineers

3.00 credits

Prerequisites: None.

Grading Basis: Graded

Topics on data analysis: random variables and probability distributions, parameter estimation and hypothesis testing, simple and multiple regression; Monte Carlo simulation; autoregression and models for time series; analytical solutions of ordinary and partial differential equations; Fourier series; numerical solutions of ordinary differential equations; solution of partial differential equations with finite differences; basics of modeling.


Last Refreshed: 16-SEP-19 05.20.32.275623 AM
To view current class enrollment click the refresh icon next to the enrollment numbers.
Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Grading Basis Notes
Fall 2019 5120 Storrs In Person Mellor, Jonathan 001 Reg MoWe 2:00pm‑3:15pm
15/20 E2 322 Graded