Optimization Algorithms for Data Engineering

Catalog description

Credits 3. 3 Lecture Hours. . Development of optimization skills for solving problems faced in data engineering; introduction to quantitative solution of optimization problems; exploration of branch and bound, and other IP techniques; methodologies for network flow algorithms, dynamic programming, and nonlinear optimization algorithms, and their applications in data engineering problems. Prerequisite: Grade of C or better in DAEN 331 ; junior or senior classification.