In these webinars, international students, scholars and professionals will be run through everything they need to know about nonresident tax for the 2024 tax season. Topics will include who must file, tax residency, FICA, State returns, implications of misfiling as well as how to use Sprintax to prepare a compliant tax return.

Discover the power of well-being through the integration of movement, breath and meditation.Instructor: Heather Berg, E-RYTClass Dates:4/4, 4/11, 4/18, 4/25No classes May6/6, 6/13, 6/20, 6/27Day/Time: Fridays 10am-11am

This all levels class will focus on strength, balance and resistance training incorporating energizing music and functional movements.When registering for this event you will be registering for all session dates and times listed below.Session Dates:April 2, 9, 16, 23, 30May 7, 14, 21, 28June 4, 11, 18Session Times:Wednesdays from 12:30 - 1:30 p.m.Instructor:Madison Robelo

Join us for this free series, lead by Nick Kusturic, Lic. Ap, Certified Tai-Chi & Qi-Gong InstructorTai chi is a series of gentle physical exercises and stretches. Each posture flows into the next without pause, ensuring that your body is in constant motion. Tai chi is sometimes described as meditation in motion because it promotes serenity through gentle movements — connecting the mind and body.Qi Gong involves using exercises to optimize energy within the body, mind, and spirit, with the goal of improving and maintaining health and well-being.When registering for this event you will be registering for all session dates and times listed below.Session Dates:4/1, 4/8, 4/15, 4/22, 4/295/6, 5/13, 5/20, 5/27No classes JuneSession Times: Tuesdays, 6-7pmInstructor: Nick Kusturic, Lic. Ap, Certified Tai-Chi & Qi-Gong Instructor

Kouhyar Tavakolian, Ph.D., director of of the BioInnovation Zone (BiZ) at the University of North Dakota and the UND Site Director for Center to Stream Healthcare in Place (C2SHiP), discusses a decentralized diabetes data platform aimed at improving health management for seniors, leveraging AI, federated learning, and edge computing. With diabetes cases and related costs rising, current centralized data systems fail to provide comprehensive insights for effective treatment. This initiative integrates real-time data from electronic health records (EHRs), diagnostic imaging, and wearable devices to uncover hidden health patterns and personalize care. By enhancing data privacy, streamlining care, and addressing health disparities, the platform aims to set a new standard in diabetes management while ensuring scalability for broader healthcare applications.Join the Webinar: https://fau-edu.zoom.us/j/89480811442?pwd=GAmb8t2w8mBbd3rxfSlTTtfG8Ia6mG.1