ENME743

Applied Machine Learning for Engineering and Design

Prerequisite: Must have completed undergraduate level Statistics (ENME392 or equivalent), or permission of the instructor. Credit only granted for: ENME440, ENME808E OR ENME743. Learn how to apply techniques from Artificial Intelligence and Machine Learning to solve engineering problems and design new products or systems. Design and build a personal or research project that demonstrates how computational learning algorithms can solve difficult tasks in areas you are interested in. Master how to interpret and transfer state-of-the-art techniques from computer science to practical engineering situations and make smart implementation decisions.

Spring 2026

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Fall 2025

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Spring 2025

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Past Semesters

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During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.61 between 58 students*

ENME743 Grade Distribution+-0510152025303540455055606570% of studentsABCDFWother
A-: 13.79%
A: 31.03%
A+: 24.14%
B-: 1.72%
B: 1.72%
B+: 13.79%
C-: 1.72%
W: 3.45%
other: 8.62%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.