E6602 is typically taught once per year in the Spring semester. The information below is meant to provide a snapshot of the material covered. Students will learn to recognize, model, formulate and ...

This course teaches an overview of modern mathematical optimization methods, for applications in machine learning and data science. In particular, scalability of algorithms to large datasets will be ...

Note: The official name for the course is “Convex optimization for electrical engineering”. However, the course is suitable for any student within SEAS (or beyond) provided you satisfy the math ...

Definitions of hypoxaemia, hypoxia, type 1 respiratory failure and hyperoxaemia Definition of hypercapnia and type 2 respiratory failure Definition of acidosis (respiratory acidosis and metabolic ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. A two-day workshop activity is described in which postgraduate students are introduced ...

This course discusses basic convex analysis (convex sets, functions, and optimization problems), optimization theory (linear, quadratic, semidefinite, and geometric programming; optimality conditions ...

Lecture slides for the current lecture will be posted at least one hour prior to that class. Videos will be posted within one day of the end of lecture.