This course is the first of a two-course sequence that emphasizes modeling and analysis of real-world systems. This course addresses systems in which uncertain or probabilistic effects are not important. The course introduces the modeling process and many of the classical deterministic models used by systems engineers, operations researchers, and management professionals to identify and analyze decision alternatives. Emphasis is placed on creative application of the modeling process to include formulation, solution methods, analysis of results, and interpretation. Topics include linear programming, sensitivity analysis, duality, networks, transportation models, dynamic programming and integer programming. Cadets will spend approximately six lessons in a computer lab environment.
