This course is the first of a two-course sequence that emphasizes modeling and analysis of real-world systems. This course focuses on techniques without consideration of uncertainty or probabilistic effects. The course introduces modeling concepts, scale and measurement principles, mathematical analysis methods, and computational approaches used by systems engineers, operations researchers, and management professionals to support systems design and the Systems Decision Process (SDP). Emphasis is placed on creative application of these topics including system representations, problem formulation, solution methods, analysis of results, and interpretation. Topics include axiomatic design, modularity, value function creation, linear programming, sensitivity analysis, networks, transportation models, and human-systems integration assessment. Cadets will spend several lessons in a computer lab environment.
