Course Websites
ABE 498 AB - Applied Data Science in ABE
Last offered Fall 2022
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
In this 3-credit course, students will learn to leverage data to study agricultural and biological
engineering problems, identify patterns, and make actionable insights. This course
includes training in (1) exploratory data analysis including data profiling, missing data,
description, and data visualization; (2) data processing techniques including singular value
decomposition, dimensionality reduction, and fourier and wavelet transforms; (3) machine
learning techniques including regression, classification, feature selection, clustering, and
neural networks. Prerequisite: MATH 225; MATH 285; CS 101; ABE 341 or ABE 440 or CEE 202 or IE 300 or STAT 400 or equivalent.
Related Faculty
Title | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
---|---|---|---|---|---|---|---|---|
Applied Data Science in ABE | AB | 77384 | LEC | 3 | 1400 - 1520 | T R | 248 Agricultural Engr Sciences Bld | Mei Tessum |