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ENGR 3400: Engineering Data Analysis Techniques
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.
- Credits
- 3
- Offered
- Spring 2027, Fall 2026
- Campuses
- Storrs
- Requirements
- MATH 1132Q.
Spring 2027 sections
Taught by Visar Ajeti.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001 | LEC | TBA | Visar Ajeti | Storrs | Online | 0 of 150 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.
Fall 2026 sections
Taught by Visar Ajeti.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001 | LEC | TBA | Visar Ajeti | Storrs | Online | 3 of 110 open |
| 002 | LEC | TBA | Visar Ajeti | Storrs | Online | 42 of 150 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.