Models In Engineering is a four-week online course that will teach you how to select appropriate modeling approaches, evaluate models, and utilize them to make better engineering decisions in your projects.
The course emphasizes the need to navigate the inherent flaws present in every model. Making the correct choice of model requires careful consideration and evaluation of the environment, context, and verification and validation requirements. Models enable us to forecast the behavior of complex systems before they are physically built and tested, providing stakeholders with essential answers to move projects forward.
This course is well-suited for engineers and professionals in industries such as aerospace, automotive, defense, consumer appliances, manufacturing, and related fields. It also benefits systems engineering professionals, directors, or senior managers seeking to innovate and optimize their operational, manufacturing, and design systems.
The courseware includes video lectures, real-world case studies, interactive projects, and optional group work. It incorporates ungraded practice activities throughout to help learners assess their understanding. Action Plans guide learners in applying course concepts to their specific fields. Additionally, instructor-led webinars and TA support offer opportunities for learners to engage with experts and gain insights into today's systems engineering challenges and solutions.
The initial weeks of the course focus on defining and constructing models, understanding their characterization, and utilizing them for decision-making. You will explore concepts such as fidelity, credibility, optimization, and sensitivity considerations. Through a critical analysis of the Columbia Accident Investigation Board Report, you will assess the credibility, fidelity, and decision-making process associated with the mission.
In the middle weeks, you will delve into combining models to enhance their scope and decision-making capabilities, while addressing the challenges that arise. You will apply these concepts to example models from your own industry.
The final weeks of the course concentrate specifically on verification and validation of models to ensure their fitness for purpose. You will develop a framework for verification and validation and determine the most suitable techniques to test your models.
By the end of the course, you will have gained an understanding of different modeling approaches, their strengths, and challenges. This knowledge can be applied to tackle various problems. You will also be equipped to assess verification and validation methods to ensure the credibility and suitability of your models for their intended purpose.
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