SE350 is the second foundation course of a three-course sequence for non-engineering cadets. It focuses on the application of deterministic and stochastic models to help cadets analyze and understand different alternatives. Cadets learn to apply various modeling techniques that represent and solve real-world problems in the military, government, and industry. SE350 utilizes traditional classroom setting and computer labs, applying the fundamental principles and assumptions of analytical models. Cadets practice uses of spreadsheets to develop and analyze models. A key goal is for cadets to communicate their analysis and recommendations to a decision maker. Ethical responsibilities in describing the results of analyses to decision-makers are integrated throughout the course. Cadets are expected to apply their knowledge of course material in several computer lab exercises throughout the course.
SE350 is the second foundation course of a three-course sequence for non-engineering cadets. It focuses on the application of deterministic and stochastic models to help cadets analyze and understand different alternatives. Cadets learn to apply various modeling techniques that represent and solve real-world problems in the military, government, and industry. SE350 utilizes traditional classroom setting and computer labs, applying the fundamental principles and assumptions of analytical models. Cadets practice uses of spreadsheets to develop and analyze models. A key goal is for cadets to communicate their analysis and recommendations to a decision maker. Ethical responsibilities in describing the results of analyses to decision-makers are integrated throughout the course. Cadets are expected to apply their knowledge of course material in several computer lab exercises throughout the course.
SE350 is the second foundation course of a three-course sequence for non-engineering cadets. It focuses on the application of deterministic and stochastic models to help cadets analyze and understand different alternatives. Cadets learn to apply various modeling techniques that represent and solve real-world problems in the military, government, and industry. SE350 utilizes traditional classroom setting and computer labs, applying the fundamental principles and assumptions of analytical models. Cadets practice uses of spreadsheets to develop and analyze models. A key goal is for cadets to communicate their analysis and recommendations to a decision maker. Ethical responsibilities in describing the results of analyses to decision-makers are integrated throughout the course. Cadets are expected to apply their knowledge of course material in several computer lab exercises throughout the course.
SE350 is the second foundation course of a three-course sequence for non-engineering cadets. Its focus is on the application of economic, deterministic and stochastic models. These tools are used in systems engineering to analyze and interpret alternatives. Cadets learn to apply various modeling techniques to represent and solve real-world problems in the military and industry. Topics include: the time value of money; decision analysis; forecasting methods, networking, queueing and simulation modeling. The course introduces various techniques to analyze data and draw inferences from that output. SE350 utilizes traditional classroom setting and computer labs, insisting that cadets understand and apply the fundamental principles and assumptions of analytical models. Cadets practice innovative uses of spreadsheets to develop and analyze models. A major goal is for cadets to communicate their analysis and recommendations to a decision maker. Cadets will spend eight to twelve lessons in a computer lab environment.
SE350 is the systems engineering science foundation course for non-engineering cadets. Its focus is on the application of economic, deterministic and stochastic models. These tools are used in systems engineering to analyze and interpret alternatives. Cadets learn to apply various modeling techniques to represent and solve real-world problems in the military and industry. Topics include: the time value of money; linear and integer programming; decision analysis; and simulation modeling. Ethical responsibilities in describing the results of analyses to decision-makers are integrated throughout the course. Students practice innovative uses of spreadsheets to develop and analyze models.
