ENME440

Applied Machine Learning for Engineering and Design

Prerequisite: ENME392; or permission of instructor. Restriction: Permission of ENGR-Mechanical Engineering department. 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

1 review
Average rating: 5.00

1 review
Average rating: 5.00

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 3.11 between 269 students*

ENME440 Grade Distribution+-051015202530354045505560% of studentsABCDFWother
A-: 14.13%
A: 24.54%
A+: 20.82%
B-: 4.09%
B: 2.97%
B+: 10.04%
C-: 1.49%
C: 1.86%
C+: 1.12%
D-: 0.74%
D: 0.37%
D+: 0.74%
F: 2.6%
W: 10.04%
other: 4.46%
* "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.