Purdue University

ECE 647 Convex and Stochastic Optimization and Applications

Spring 2023, MWF 12:30-1:20pm, Room BHEE224

Instructor: Xiaojun Lin
Tel: 4-0626
E-mail: linx@ecn.purdue.edu
Office hour: TBA or by appointment
Homepage: http://engineering.purdue.edu/~linx/ECE647

Course Description

Syllabus is here: We plan to cover two topics We will take an application-driven approach of learning: each sub-topic of the theory will come with illustrative applications in communications, networks, and machine learning.
Recommended Texts (Online versions available. See links in syllabus):

Course Objectives

Students should be equipped with the basic theory of convex optimization and Markov decision program, and be able to apply to research problems.

Supplemental Readings

Project Instructions




Weekly Coverage and Readings