Intructor: El Ghaoui
Contact: elghaoui at berkeley
Office hours: TBD.
Teaching assistant: TBD.
Material: We'll primarily use Boyd and Vandenberghe's book on convex optimization, and related material. Lots of background material (eg, on linear algebra) can be found on the hyper-textbook here.
Homeworks: there will be about 5 Homeworks, which require the use of Matlab.
Exams: There are two midterms (on Oct 1st and 31st), no final and a project.
Project: details on the project coming up soon. For now, consider teaming up in groups of three to four (maximum).
Grading: 40% homework, midterms (30%), project (30%).
Software: for the homeworks, we will use the free matlab toolbox called CVX.