Robust Optimization and Applications

CT Score

1500

#0 of 0 in ENGIN

Difficulty

—/10

Workload

—h/wk

Median grade

—

from grade distribution

Would take again

—

n = 0 verified

Grade distribution

No distribution published for this course.

By professor: same course, different game

PROFESSORSCOREGRADEHRS/WKTERMS

Professor ratings →

Sections

No section data for this term yet.

In the tree

Undergrad. degree STEM field, w/strong linear algebra background. Expected proficiency: Basic linear algebra concepts: vector norms, scalar products & hyperplanes. Useful but not required: symmetric matrices and their eigenvalues, PCA and SVD. Limited exposure to basic concepts in optimization: optimiz. models, optimal value, constraints, feasible & optimal set. Moderate level/higher computing programming language: Python and/or Matlab EECS 127: Optimiz. Model1 recommended prior to class→ENGIN 238E→unlocks 0 courses

No mapped courses require this one yet. See on the map →

Study groups

0 active

🔒 Verified-only writes. You post as “sophomore, lecture section”: real enough to trust, anonymous enough to be honest.