Select one of the options below:
This course will introduce fundamental concepts of integrated modeling, simulation, and experimentation as a component of the systems engineering process. You will learn practical processes for improving the defensibility, cost and capabilities of your simulations. This course places emphases on verification and validation of computational models, on quantification and propagation of uncertainty, on multi-disiciplinary analysis and optimization, and on synthesis and decision making. We will use tools including MATLAB, Excel, ModelCenter, Simulink and SimEvents to model in a variety of engineering applications and domains. With semi-weekly homework and mid-term and final projects, this course will build engineering students’ capabilities to perform scientific and engineering computing for the purposes of design, research and decision support.
This class is offered online in a webinar-style format, and can be accessed synchronously or asynchronously. Synchronous means you can log on live and participate in the class as it is occurring on campus, but participation in this format is not mandatory. Asynchronous means you can access the video recording of the class sessions whenever it is convenient for you.
STAT 315 (Statistics for Engineers and Scientists); or the equivalent.