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Tuesday, January 21, 2025
12:00 PM - 1:00 PM ET
The advent of big data, cloud computing, and machine learning is revolutionizing how many professionals approach their work. These technologies offer exciting new ways for engineers to tackle real-world challenges. However, with little exposure to these new computational methods, engineers lacking data science or experience in modern computational methods might feel left behind.
To ensure that the engineering workforce has continual training and access to the latest knowledge, MIT xPRO launched the two-course certificate program: Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI.
In this interactive and engaging webinar, MIT's Youssef Marzouk will discuss:
By attending the live webinar, you will also be able to participate in the Q&A following the presentation. Register for this special free virtual event by filling out the form above. You'll receive a confirmation e-mail from Zoom with further details about the webinar.
Youssef Marzouk is a professor in the Department of Aeronautics and Astronautics at MIT and co-director of the CCSE. He is also director of MIT’s Aerospace Computational Design Laboratory.
His research interests lie at the intersection of physical modeling with statistical inference and computation. In particular, he develops methodologies for uncertainty quantification, inverse problems, large-scale Bayesian computation, and optimal experimental design in complex physical systems. His methodological work is motivated by a wide variety of engineering, environmental, and geophysics applications.