Mar 13, 2025  
Graduate Catalog | 2023-2024 
    
Graduate Catalog | 2023-2024 Previous Edition

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ECGR 5115 - Convex Optimization and AI Applications


This course focuses on the theory and the algorithmic aspects of convex optimization. Topics include convex sets, convex functions, and convex optimization problems; duality theory and optimality conditions; algorithms for solving convex problems; use of numerical tools to solve problems; and if time permits, we will discuss non-convex optimization problems. Throughout this course, we will discuss applications of the materials to engineering topics (as time permits) such as signal processing, control, robotics, machine learning, statistics, and related engineering problems. Credit will not be given for ECGR 5115 where credit has been given for ECGR 4115.

Credit Hours:
Cross-listed Course(s): ECGR 4115


Schedule of Classes




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