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.
Military personnel admitted to a College of Engineering online degree program may be eligible for a 15% tuition discount. Tuition discounts can only be given if you provide the appropriate discount code at the time of registration. Call (877) 491-4336 or email email@example.com to learn more.
This class is available live via the Internet on Wednesdays from 5:15 - 8:00 p.m. Mountain Time. If you are registered in the online section, log into your Canvas account to access the course; directions will be posted.
Textbooks and Materials
Please check the CSU Bookstore for textbook information. Textbook listings are available at the CSU Bookstore about 3 weeks prior to the start of the term.
Dr. Steve Conrad has conducted research and consulted with the water and energy industry for over 25 years on the feedbacks between human-environmental systems through the coupling of social and engineering sciences to inform decision making and visualization, the quantification and modelling of system function, system optimization and resilience, and policy and planning as applied to energy, water and food systems, sustainable community design, and climate change adaptation.