EECS 127
Optimization Models in Engineering, UC Berkeley, EECS, 2025
Description
This course offers an introduction to optimization models and their applications, ranging from machine learning and statistics to decision-making and control, with emphasis on numerically tractable problems, such as linear or constrained least-squares optimization. The course covers two main topics: practical linear algebra and convex optimization.
My Responsibilities
- Grading homework and exams.