MEEN 2110 - Engineering Data Analysis

3 hours

Designed for engineering students to use statistical methods for engineering problem solving. Discusses using techniques for the analysis of experimental data and interpretation of problems related to mechanical and energy engineering. Statistical techniques used include analysis of variance, hypothesis testing, factorial design, linear regression and correlation.

Prerequisite(s): MATH 2700 with a grade of C or better; MEEN 1000 with a grade of C or better.

Course specific fees (in addition to tuition and mandatory):
Academic (AF) per hour: $52.70