STEM / applied
Optimization for CS · Graduate · CS / Programming
Topics
ML and engineering applications
- Regularized regression as convex programs
- ADMM for distributed optimization (intro)
- Hyperparameter optimization and Bayesian opt (survey)
- Optimal control and model predictive control (intro)
- Solver tooling: CVXPY, Gurobi, MOSEK (survey)
Large-scale methods
- Coordinate descent and proximal algorithms
- Variance reduction methods (SVRG-style intro)
- Low-rank matrix completion applications
- GPU acceleration for optimization workloads
- Case studies from ML, robotics, and OR
Pricing calculator
Choose materials, tutoring, or both — or book a single session as needed. Customize your plan on the subscribe page.
$1,162 · Optimization for CS · 18 tutoring hrs
Study guides, worksheets, reviews, practice tests, and answer keys for 1 class. 18 tutoring hours (1 hr / week · semester). Bundle discount applied vs buying separately. Pay in full via Zelle.