Course Websites
ABE 498 JG1 - Data & Uncertainty Analysis
Last offered Spring 2025
Official Description
Subject offerings of new and developing areas of knowledge in agricultural and biological engineering intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: 1 to 4 undergraduate hours. 1 to 4 graduate hours. May be repeated in the same or separate terms if topics vary to a maximum of 16 hours.
Section Description
Data & Uncertainty Analysis:
This course will introduce students to data screening and uncertainty analysis principles that can be applied to data collection and models in engineering disciplines. In the first part of the course, we will introduce the definitions and the basic concept of errors (reading, calibration, and propagation) in data collection, source of errors, error limits, and techniques to identify and represent deterministic and stochastic components in data. The second part of the course will focus on the practical application of sensitivity analysis to identify and quantify variable contributions in complex models. We will use datasets and computational tools throughout the course, including spreadsheets, programming languages, and applications.
Related Faculty
Schedule and Instructors
Title | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
---|---|---|---|---|---|---|---|---|
Data & Uncertainty Analysis | JG1 | 75684 | ONL | 2 | 1400 - 1630 | T | Jorge A. Guzman Keyvan Malek |