This course is the first of a two-course sequence that emphasizes modeling and analysis of real-world systems. This course builds on the scientific method and problem solving paradigms embedded in prerequisite basic science courses. The course introduces the modeling process and many of the classical deterministic models used by systems engineers to 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, and advanced topics in deterministic models. Cadets will spend twelve to twenty lessons in a computer lab environment.
