ENPM808F

Advanced Topics in Engineering; Robot Learning

Reviews for this courseTestudo

Machine learning may be used to greatly expand the capabilities of robotic systems, and has been applied to a variety of robotic system functions including planning, control, and perception. This course wil explore the application of machine learning techniques, paradigms, and control design to robotic systems, focusing primarily on key useful representations and model building techniques for application in non-stationary robotic systems.

Sister Courses: ENPM808, ENPM808A, ENPM808B, ENPM808C, ENPM808D, ENPM808E, ENPM808G, ENPM808I, ENPM808J, ENPM808K, ENPM808L, ENPM808M, ENPM808N, ENPM808O, ENPM808P, ENPM808Q, ENPM808R, ENPM808T, ENPM808V, ENPM808W, ENPM808X, ENPM808Y, ENPM808Z

Past Semesters

Charles Song

0 reviews
Average rating: N/A

Donald Sofge

0 reviews
Average rating: N/A

Pedram Fard

0 reviews
Average rating: N/A

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 3.70 between 160 students*

ENPM808F Grade Distribution+-05101520253035404550556065707580% of studentsABCDFWother
A-: 13.75%
A: 48.13%
A+: 17.5%
B-: 3.75%
B: 4.38%
B+: 8.75%
C-: 0.63%
C: 0.63%
W: 1.88%
other: 0.63%
* "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.