ABE 412

Fall 2026 All Classes

All Classes

Applied Data Science for Agricultural and Biological Engineering

Credit: 3 hours.

Use of data to study problems unique to agricultural and biological engineering, identify patterns, and make actionable insights. Course includes (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.

3 undergraduate hours. 3 graduate hours. Prerequisite: CS 101 or equivalent and MATH 257.

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ABE 412 class schedule data for fall 2026
	Status		CRN	Type	Section	Time	Day	Location	Instructor	Section Details
			80969	Lecture	AB	12:30PM -1:50PM	TR	242 Agricultural Engr Sciences Bld	Tessum, M	Availability: Open Part of Term: 1 Date Range: 08/24/26-12/09/26 Section Info: Title: Applied Data Science for Agricultural and Biological Engineering Use of data to study problems unique to agricultural and biological engineering, identify patterns, and make actionable insights. Course includes (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. 3 undergraduate hours. 3 graduate hours. Prerequisite: CS101 or equivalent and MATH 257.