it-tls@uri.edu is inviting you to a scheduled Zoom meeting. Join Zoom Meeting https://uri-edu.zoom.us/j/98116363346?pwd=wacoNl6fZgbEtBgTBQZsk5baubJ7Ei.1 Meeting ID: 981 1636 3346 Passcode: 665230 --- One tap mobile +16469313860,,98116363346#,,,,*665230# US +19292056099,,98116363346#,,,,*665230# US (New York) --- Join by SIP • 98116363346@zoomcrc.com Join instructions https://uri-edu.zoom.us/meetings/98116363346/invitations?signature=IqCOjX5Iyu8i0g6NqX1OSfT0xwpio_VuF2sZosCmkm4

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

This workshop is crafted to introduce participants to the powerful world of data science using R. The workshop covers essential data science concepts and techniques, emphasizing hands-on experience with popular R libraries. Participants will gain practical insights into data manipulation, exploratory data analysis, and data visualization, allowing them to extract meaningful insights from datasets.

Presented by the URI Retired Faculty Association Speaker Series, two expert panelists will offer the latest research on lifestyle factors for maintaining brain health and answer questions about the aging brain. Panelists are Prof. Christie L. Ward-Ritacco, PhD, URI Department of Kinesiology and Prof. John K Robinson, PhD, Co-Executive Director, URI George & Anne Ryan Institute for Neuroscience and Professor in URI Psychology and Biomedical & Pharmaceutical Sciences. This free presentation is open to the URI Community and the larger Rhode Island Community.Parking is available in the lot off Briar Lane behind the Welcome Center. Letting us know if you plan on attending at aging@uri.edu is helpful but not required.

Abstract:The Rust programming language was created when Graydon Hoare was frustrated with the elevator in his apartment building being out of order due to a Windows blue screen of death. In the decade since its 1.0 release, Rust has been the "most loved" programming language on StackOverflow for a number of years, and has gained a reputation for high performance (comparable to C), high productivity (comparable to Go) and correctness (comparable to Haskell). I have been using Rust in my research group (Algorithms for Big Data) for the past 5 years, and also have been teaching my undergraduate machine organization course in Rust (previously it was in C) for about as long.In this interactive workshop, we will start with a brief introduction to Rust (just the basics) and then look at how to easily parallelize a computation across multiple cores using the excellent Rayon library. We will wrap up with multi-node distributed computation via an OpenMPI-compatible library. I'll make all code we write available on my website.Bio:Prof. Daniels is an associate professor of computer science, with the majority of his research focused on algorithms for "big data" -- essentially, sublinear-time algorithms for problems such as search or sequence alignment, trying to leverage the manifold structure of high-dimensional data. He did a postdoc in mathematics at MIT with Bonnie Berger and a Ph.D in computer science at Tufts University with Lenore Cowen, focused on problems in computational biology ranging from protein structure prediction to biological sequence analysis. More recently, he has also been interested in applying "manifold mapping" ideas to problems in astronomy, cybersecurity, and machine learning.It will be available by zoom here (note free registration): https://uri-edu.zoom.us/meeting/register/MkwG6eIZRn6eO4tplmr4Pw#/registration (though we will have an in-person option as well)Background resources, for those who want to get a leg up, are primarily here: https://www.rust-lang.org/learn (there are three different resources there, which will appeal to different learning styles).The Rayon parallelization library is documented here: https://docs.rs/rayon/latest/rayon/The mpi library is documented here: https://docs.rs/mpi/latest/mpi/

Am I Ready to Apply?An Interactive Readiness Self-Assessment for Future Applicants to Medical, Dental, or PA ProgramsThinking about applying to health professional school this cycle? Not sure if you're truly ready or just hoping you are?This 90-minute, hands-on workshop is designed to help you evaluate where you stand in your preparation for programs like MD, DO, PA, and dental school. Through guided self-assessments, reflection activities, and peer discussion, you'll take a realistic look at your academics, clinical experiences, competencies, and more, all in a supportive, low-pressure environment.In this session, you’ll:Map out your experiences (clinical, service, research, leadership, etc.)Evaluate how your preparation aligns with key competencies admissions committees look forCheck your academic readiness, including GPA and prerequisite progressReflect on your overall application strength and whether it’s time to apply or time to planWhether you're feeling confident or still unsure, you’ll leave with a clearer picture of your readiness, specific next steps to take, and tools to help you move forward with purpose.This workshop is ideal for students planning to apply to medical, dental, or PA programs in the upcoming cycle or those who want to better understand what “ready to apply” really means.We strongly suggest attending this workshop prior to attending a PATH Orientation for the upcoming cycle.