BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//IEEE Toronto Section - ECPv6.15.17//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.ieeetoronto.ca
X-WR-CALDESC:Events for IEEE Toronto Section
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20200101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20210916T180000
DTEND;TZID=UTC:20210916T190000
DTSTAMP:20261108T080125
CREATED:20210910T123258Z
LAST-MODIFIED:20220105T230309Z
UID:10000452-1631815200-1631818800@www.ieeetoronto.ca
SUMMARY:Internships for Graduate and Undergraduate Students
DESCRIPTION:Not sure how to find an internship? Unclear about how internships are structured? Join a Ryerson University Career & Co-op Centre\, IEEE\, and IEEE Women in Engineering collaboration for this informative workshop to learn about internship opportunities available for undergraduate and graduate students on Sept. 16 from 6-7 pm.
URL:https://www.ieeetoronto.ca/event/internships-for-graduate-and-undergraduate-students/
LOCATION:Virtual: https://events.vtools.ieee.org/m/281467
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210927T140000
DTEND;TZID=UTC:20210927T153000
DTSTAMP:20261108T080125
CREATED:20210714T235912Z
LAST-MODIFIED:20211027T103904Z
UID:10000446-1632751200-1632756600@www.ieeetoronto.ca
SUMMARY:Fundamentals of Probability in Python
DESCRIPTION:In this workshop\, we first provide a brief review of probability theory making sure that attendees understand probability models and applications. Later in this workshop\, we will discuss basic probability models and their implementation in python\, how to deal with various aspects of conditional probability like total probability theorem\, conditional independence\, Bayes Rule\, etc. Then\, we will discuss the implementation of discrete random variables as well as continuous random variable like Bernoulli variables\, geometric variables\, uniform\, exponential and gaussian distribution. Afterwards\, fundamental law of large numbers related programming concepts will be covered along with sample mean and variance of famous probability distributions.  Speaker(s): Taha Sajjad\,   Virtual: https://events.vtools.ieee.org/m/277449
URL:https://www.ieeetoronto.ca/event/fundamentals-of-probability-in-python/
LOCATION:Virtual: https://events.vtools.ieee.org/m/277449
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
END:VCALENDAR