IEEE Region 1+2 Training

#bettertogether #training #buffalo #region1 #GenAI
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How does OU Analytics work? What actually is IEEE Young Professionals? Why didn't anyone get my eNotice? Can GenAI help me respond to this email?

In preparation for the merger with Region 2, Region 1 is organizing hybrid IEEE leadership training sessions to answer these questions and more at Buffalo State University on December 7th from 9:30 am until 4pm with dinner to follow. 

 

If you can't join us for all the in-person excitement, join us virtually via WebEx!

https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=md7a6b0f33f1735e587ce5ea6cb171e1b

 



  Date and Time

  Location

  Hosts

  Registration



  • Date: 07 Dec 2024
  • Time: 09:30 AM to 04:00 PM
  • All times are (UTC-05:00) Eastern Time (US & Canada)
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  • SUNY Buffalo State University
  • 1300 Elmwood Avenue
  • Buffalo, New York
  • United States 14222
  • Building: Technology Building
  • Room Number: 240
  • Click here for Map

  • Contact Event Hosts
  • Starts 21 November 2024 12:00 AM
  • Ends 06 December 2024 11:59 PM
  • All times are (UTC-05:00) Eastern Time (US & Canada)
  • No Admission Charge






Agenda

Final Agenda:

Morning Session (9:30 - 11:45)
 9:30 - 10:00   Registration and networking
10:00 - 10:15   Welcome and introductions (ALL)
10:15 - 10:45   IEEE Organization (Bala Prasanna, R1 Director - Remote)
10:45 - 11:15   Sections and Chapters (Murty - Remote)
11:15 - 11:45   Finance (Bill - Remote)

11:45 - 12:45   BREAK: Networking Lunch (onsite)

 Afternoon Session (12:45 - 2:45)
12:45 - 1:15    Student Activities (Oscar for Ali)
 1:15 - 1:45    Roadmap of MGA Training Resources for Officers (Stephen - Remote)
 1:45 - 2:15    OUAnalytics/vTools (Eugene - Remote)
 2:15 - 2:45    Ethics (Oscar)

 2:45 - 3:00    BREAK

 Twilight Session (3:00 - 4:30)
 3:00 - 3:30    Young Professionals (Sam)
 3:30 - 3:45    Generative AI for Volunteering (Sam)
 3:45 - 4:15    Jeopardy - engineering style (Oscar)
 4:15 - 4:30    Closing Remarks (Bala)

 Dinner to follow