Need a hand with technology? Drop by our Zoom room whenever you have questions or run into tech issues. We're happy to help the URI community. Join Zoom Meeting https://uri-edu.zoom.us/j/93933366369 Meeting ID: 939 3336 6369 Join instructions https://uri-edu.zoom.us/meetings/93933366369/invitations?signature=ofxk_lq4viETQ7iczJ4QRtwIcA4p3Cdi6OAyyS7D6Hg

What exactly is “active learning”? How can you leverage these strategies to create a more engaging and inclusive classroom experience? Come find out! In this workshop, we’ll explore the active learning continuum and discuss strategies to promote student participation while fostering a sense of belonging.Session Dates: September 30th & October 3rd Time: 9/30 from 3:30pm – 4:30pm; 10/3 from 10:00am – 11:00am Location: Zoom Registration & More Information

Join the Military and Veteran Education Center and the Marine Affairs Department for our 3rd annual event focusing on the blue economy.Visit URInvolved for complete event details.

Join the Military and Veteran Education Center and the Marine Affairs Department for our 3rd annual event focusing on the blue economy.Visit URInvolved for complete event details.

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Title: Koopman Theory Applied to Ocean DataSpeaker: Larry J. Pratt, Ph.D., Senior Scientist, Woods Hole Oceanographic InstitutionAbstract: Koopman theory can be useful in the treatment of data from various fields of science and engineering. Applications include the formulation of data-based models, the analysis of data, reduction of order, and handling of certain types of big data. At the heart of the theory is the idea that for many nonlinear models there is an equivalent linear model in which the variables are “observables”. In physical oceanography, these variables consist of state variables (velocity, temperature, etc.) that we observe along with other measurable functions of the state variables: an infinitely long list. The linear model therefore operates in an infinite dimensional space of observation functions whose evolution in time is governed by a linear operator (the Koopman operator). This evlution takes a particularly simple form when voice in terms of the eigenvalues of the operator (Koopman modes) and the Dynamic Mode Decomposition is one method for approximating these modes. I will discuss the theoretical underpinning and implementation of this approach and give an example of application to numerical model data from the western Mediterranean Sea and Strait of Gibraltar, a region characterized by a number of time-dependent, nonlinear processes.