Courses Category: Aerospace R&D

AI for Air Traffic Safety Enhancement

  • Instructed by world-wide leaders for AI applications in Air Traffic Management and Control
  • All students will receive an AIAA Certificate of Completion at the end of the course

Systems Thinking for Modern Aerospace Complexity

This comprehensive 2-day course covers systems thinking for addressing complexity in the development of modern aerospace systems. Applying a systems approach provides insight into the unexpected ways a system will behave due to complexity. Learning how to deal with scale, interdependencies and interconnectedness in large systems uncovers leverage points for managing complexity. The course covers complexity management from a number of perspectives, including organizational learning, quantitative metrics and system visualization techniques.

Verification and Validation Best Practices for Integrated Computational Materials Engineering

Synopsis

Due to the exponential increase in the availability of computing power over the last several decades, modeling and simulation have become an important part of virtually all of aspects of science, engineering, and manufacturing. For modeling and simulation to achieve the stated goal of Integrated Computational Materials Engineering (ICME) of delivering tools that aid the science and engineering decision-making process, thorough and unbiased assessments of the accuracy and credibility of model results are critical. This course gives an overview of the topics of verification and validation and uncertainty analysis, demonstrated by contextualized examples, with a focus on quantifying the confidence that can be attributed to results of computational materials science models. While these topics have been investigated for decades in the computational fluid dynamics and structural analysis communities, the ICME community is just starting to grapple with implementing these approaches, and will face some unique challenges due to the range of physical phenomena that are of interest to the materials science community.

Who Should Attend

Those who will benefit from this course include a broad cross section of ICME stakeholders, such as materials researchers, educators, design and manufacturing engineers, and program managers who seek to understand how to assess the accuracy of computational materials science and engineering simulations.

Why Attend

  • Learn the concepts of uncertainty quantification for ICME model verification and validation (V&V)
  • Understand the recommended process for assessing V&V needs
  • Learn the commercial and open-source tools and resources available to aid with V&V implementation
  • Master the concepts of state-of-the-art probabilistic and uncertainty quantification methods
  • Understand what the results from a probabilistic/reliability analysis mean
  • Verification and Validation Best Practices for Integrated Computational Materials Engineering

Financial and Business Acumen for Navigating the Aerospace Industry

  • This new, practical course will develop students’ “business mindset” so they can make sound business/financial decisions for their organizations, and successfully navigate the various funding avenues available to them, while also setting the foundation for leadership positions within their organizations.
  • The course consists of lectures and in-class exercises using the public financial statements of several firms within the aerospace, defense, and space industries.
  • All students will receive an AIAA Certificate of Completion at the end of the course.

Foundations of CFD with OpenFOAM®

Instructed by Mr. Matej Forman, OpenFOAM® training team leader, Keysight Technologies

  • Learn OpenFOAM® CFD Fundamentals for Aerospace with a combination of lectures and associated hands-on lab exercises
  • All course notes and exercises will be available for download. No sessions will be recorded.
  • All students will receive an AIAA Certificate of Completion at the end of the course