Information Theory 101

[]Information theory is the mathematical study of the quantification, storage, and communication of information. The field was established and formalized by Claude Shannon in the 1940s, though early contributions were made in the 1920s through the works of Harry Nyquist and Ralph Hartley. It is at the intersection of electronic engineering, mathematics, statistics, computer science, neurobiology, physics, and electrical engineering
This is a 2 hour overview of this subject – inspired by a similar effort done in past years called "Introduction to Embedded Systems" by the Computer Society chapter of SE Michigan, aimed at students of all STEM disciplines but whose prime areas were not embedded systems. The idea is to share and gain appreciation for the topic.
Where: Webinar (Join link will be provided after registration)
PDHs: One Hour (Issued ONLY by prior email request)
Speaker(s): Sharan Kalwani,
Agenda:
11 AM start
1 PM end
NOTE: (ALL times are always in EST/EDT format)
Virtual: https://events.vtools.ieee.org/m/514175