Courses

ECE 490
Introduction to Optimization

Section	Type	Times	Days	Location	Instructor
P	DIS	1100 - 1220	T R	106B1 Engineering Hall	P Kumar

Official Description	Basic theory and methods for the solution of optimization problems; iterative techniques for unconstrained minimization; introductory presentation of linear and nonlinear programming with engineering applications. Same as CSE 441. 3 undergraduate hours. 4 graduate hours. Prerequisite: CS 101 or CS 125; MATH 241 or MATH 380.
Hours	3 or 4 hours.
Subject Area	Control Systems
Course Prerequisites	Credit in CS 101 or CS 125 Credit in MATH 241 or MATH 380
Course Directors	P R Kumar
Description	Basic theory and methods for the solution of optimization problems; iterative techniques for unconstrained minimization; and introductory presentation of linear and nonlinear programming with engineering applications.
Notes	Same as CSE 541
Credit	3 hours
Goals	The course objective is to provide seniors in Electrical or Computer Engineering with a basic under-standing of optimization problems, viz., their formulation, analytic and computational tools for their solutions, and applications in different areas.
Topics	Introduction and review of fundamentals Unconstrained optimization Optimization subject to equality constraints Nonlinear programming Linear programming Selected topics from dynamic programming, large-scale programming, and multicriteria optimization
Computer Usage	The students are assigned homework problems and are asked to write MATLAB programs for numerical optimization algorithms and run them on a workstation. Some basic MATLAB files for optimization are provided.
Course Prerequisites	CS 101 or CS 125; MATH 241 or MATH 380.
Topical Prerequisities	Differential calculus Linear algebra Computer programming Ability to reason in abstract terms
Texts	D. P. Bertsekas, Nonlinear Programming, Belmonte, MA: Athena Scientific, 1995.
ABET Category	Engineering Science: 1.5 credits or 50% Engineering Design: 1.5 credits or 50%