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Apr 18, 2024
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BIOL 4220 - Machine Learning for Environmental Biology
This course is designed to create an applied learning environment to introduce students to large scale datasets in the environmental field and learn advanced techniques for analyzing them. Students will learn multivariate data exploration techniques, evaluate the quality of large datasets, and analyze the data using machine learning techniques. Specifically students will propose, develop, and finalize projects where they will apply machine learning approaches to datasets to understand complex environmental biology processes. Along with these topics, students will learn to critically read current scientific literature relevant to their projects.
Prerequisites/Corequisites: Prerequisite: BIOL 4200 or by permission of the instructor.
When Offered: Fall term annually.
Cross Listed: BIOL 6220 . A student cannot get credit for more than one of the cross-listed courses.
Credit Hours: 4
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