This page shows all courses currently scheduled for Summer Session 2026. For complete course details and enrollment information, click on the course in the listing below, or check the Student Administration system.
3400. Engineering Data Analysis Techniques
3.00 credits
Prerequisites: MATH 1132Q.
Grading Basis: Graded
Introduction to statistics in an engineering context. Core concepts regarding mean, standard deviation, probability density, histograms, cumulative distribution, percentile rank, interquartile range, continuous and discrete distributions (e.g. normal, log normal, exponential, etc.), linear regression, and Bayesian Statistics. Additional topics may be covered based on the engineering discipline of the enrolled students.
Last Refreshed: 02-MAR-26 05.20.49.873592 AM
| Enrollment Data | Session | Campus | Term | Class Number | Instruction Mode | Instructor | Section | Schedule | Location | Enrollment | Notes | Credits |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1265 1986 SS1 010 | SS1 | Storrs | Summer 2026 | 1986 | Online Asynchronous | Ajeti, Visar | 010 | No Room Required - Online | 0/25 | 3.00 |