Welcome
The Model Based Systems Engineering (MBSE) Bootcamp is a two-day workforce development workshop held at the University of Texas Rio Grande Valley that will bring in experts in Model Based Systems Engineering and Production Engineering to discuss the importance of MBSE in industries and academia.
This project will contribute to solving the national need for well-educated engineers and technicians by providing resources and training on model-based systems engineering for production engineering.
MBSE is a systems engineering methodology that focuses on using models throughout a project's life cycle, from design and development, through operations. Models are simplified representations of ideas, relationships, structures, and other constructs. MBSE has the potential to increase productivity by minimizing unnecessary manual transcription of concepts when coordinating the work of large teams in engineering practices. The application of MBSE to production engineering systems is novel and of increasing importance as production systems become more complex. Model-based systems engineering helps engineers better understand processes, make decisions, and predict outcomes. This project will seek to increase workforce skills in this important area of engineering.
This bootcamp will include industry experts on MBSE, professors from colleges and universities across the country, scientists from national laboratories, and trainers who will all facilitate the boot camp activities. Participants will also develop guidelines on how to incorporate MBSE into curricula at all levels, laying a foundation for improving and expanding model-based systems engineering education to enhance the capabilities of the Nation's STEM workforce.
The Model Based Systems Engineering Bootcamp was successfully conducted on October 15-16, 2020.
Thank you for your interest in MBSE. For bootcamp videos and presentations please visit our Resources page and our News & Announcements page for the latest updates. We hope to see you soon.
Satya Aditya Akundi, Ph.D.
Assistant Professor
Manufacturing and Industrial Engineering Department
College of Engineering and Computer Science
satya.akundi@UTRGV.edu
