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Apr 01, 2026
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ITOM 6264 - Advanced Decision Models Credits: 2
In the realm of real-world business challenges, linear models often fall short of addressing complexity. Designed to equip students with the knowledge and skills needed to tackle such complexities, this course focuses on decision models and modeling techniques in nonlinear optimization and multi-objective optimization. Additionally, the course explores the application of versatile heuristics including linearization and genetic algorithms. Throughout the course, students gain hands-on experience using Python for analyzing quantitative business problems. Prerequisites: ITOM 6252 and enrollment in the M.S.B.A. program. (*updated* 2/3/2026; effective spring 2026)
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