Courses - Spring 2026
ENEE464
Introduction to Optimization
Credits:
3
Grad Meth:
Reg, P-F, Aud
Prerequisite: One of the following: ENEE290, MATH240, MATH341, or MATH461; and must have completed or be concurrently enrolled in ENEE324 or STAT400.
Recommended: Experience in Matlab or Python.
Restriction: Must be in the Department of Electrical and Computer Engineering.
Credit only granted for: ENEE464 or ENEE469O.
Formerly: ENEE469O.
Students will be introduced to linear, nonlinear, unconstrained, constrained optimization. Convex optimization will be highlighted. Applications will be considered, in particular in the area of machine learning. Some optimization algorithms may be discussed, time permitting.
Flagship Institution of the University System of Maryland
University of Maryland, College Park, MD 20742, USA
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Phone:
301.405.1000
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