ENEE469O

Topics in Controls; Introduction to Optimization

Prerequisite: ENEE324 or STAT400; MATH240 or MATH461. Cross-listed with ENTS669F. Credit only granted for ENEE469O or ENTS669F. Students will be introduced to linear, nonlinear, unconstrained, constrained optimization. Convex optimization will be high lighted. Applications will be considered, in particular in the area of machine learning. Some optimization algorithms may be discussed, time permitting.

Sister Courses: ENEE469Q, ENEE469R

Spring 2025

Nuno Martins

1 review
Average rating: 3.00

Past Semesters

Richard La

1 review
Average rating: 5.00

Richard La

1 review
Average rating: 5.00

Richard La

1 review
Average rating: 5.00

Andre Tits

0 reviews
Average rating: N/A

Include P/F semesters 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 2.75 between 42 students*

A-: 7.14%

A: 16.67%

A+: 7.14%

B-: 16.67%

B: 14.29%

B+: 7.14%

C: 4.76%

C+: 11.9%

D: 4.76%

W: 9.52%

* "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.