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

TitleSectionCRNTypeHoursTimesDaysLocationInstructor
Applied Data Science in ABEAB77384LEC31400 - 1520 T R  248 Agricultural Engr Sciences Bld Mei Tessum