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PRODID:-//ChamberMaster//Event Calendar 2.0//EN
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CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTART:20200922T230000Z
DTEND:20200923T020000Z
X-MICROSOFT-CDO-ALLDAYEVENT:FALSE
SUMMARY:Springfield Chapter Meeting - Dive Into Data From the Driver's Seat
DESCRIPTION:Dive into Data From the Driver's Seat\n\npresented in person by: Kevin Leiby \n\nThis class focuses on diagnosing the vehicle from the driver's seat bay taking advantage of a thorough understanding of the system we are faced with and the data PID's available to us today.\n\n\n\nLearn to select and group data based on system design and utilize the power of graphing scan data over time to show relational changes over time and responses to inputs. Learn to take full advantage of your scan tool\, it is so much more than just a code reader. Drivability concerns can be divided into one of four categories\, and we can take advantage of the symptom to help isolate which category our problem falls into to help save valuable diagnostic time. Learn how to use new data PID's that have been added to help increase our abilities and accuracy when it comes to vehicle diagnosis.\n\n\n\nView More Springfield Training Events Here!\n\n\n\nMWACA Policy Regarding In-Person Meetings:\n\nAttendees agree that by attending the meetings they have not been exposed to anyone with or suspected of having COVID-19 and they themselves have not had or exhibited symptoms within the last 14 days. Social distancing will be practiced\, as well as any local and venue regulations.
X-ALT-DESC;FMTTYPE=text/html:<p><span style="font-family:verdana\;"><span style="font-size: 18px\;"><b>Dive into Data&nbsp\;From the Driver&#39\;s Seat</b></span><br />\n<span style="color: rgb(0\, 0\, 0)\;"><span style="font-size:16px\;"><strong>presented in person by: Kevin Leiby&nbsp\;</strong></span></span></span></p>\n\n<p><span style="font-size:14px\;"><span style="font-family:verdana\;">This class focuses on diagnosing the vehicle from the driver&rsquo\;s seat bay taking advantage of a thorough understanding of the system we are faced with and the data PID&rsquo\;s available to us today.<br />\n<br />\nLearn to select and group data based on system design and utilize the power of graphing scan data over time to show relational changes over time and responses to inputs. Learn to take full advantage of your scan tool\, it is so much more than just a code reader. Drivability concerns can be divided into one of four categories\, and we can take advantage of the symptom to help isolate which category our problem falls into to help save valuable diagnostic time. Learn how to use new data PID&rsquo\;s that have been added to help increase our abilities and accuracy when it comes to vehicle diagnosis.</span></span><br />\n<br />\n<a href="https://members.mwaca.org/events/search?q=&amp\;c=12&amp\;Lookahead=" style="font-family: verdana\; font-size: 14px\;">View More Springfield&nbsp\;Training Events Here!</a><br />\n<br />\n<u><span style="color:#4880C2\;"><span style="font-family:trebuchet ms\,sans-serif\;"><span style="font-size:10.5pt\;">MWACA Policy Regarding In-Person Meetings:</span></span></span></u><br />\n<span style="color:#4880C2\;"><span style="font-family:trebuchet ms\,sans-serif\;"><span style="font-size:10.5pt\;">Attendees agree that by attending the meetings they have not been exposed to anyone with or suspected of having COVID-19 and they themselves have not had or exhibited symptoms within the last 14 days. Social distancing will be practiced\, as well as any local </span></span></span><span style="color: rgb(72\, 128\, 194)\; font-family: &quot\;trebuchet ms&quot\;\, sans-serif\; font-size: 14px\;">and venue regulations.</span></p>\n
LOCATION:Adobe Cafe 1742 S Glenstone Ave Springfield\, MO 65804
UID:e.9124.1190
SEQUENCE:3
DTSTAMP:20260408T002413Z
URL:http://mwaca.memberzone.com/events/details/springfield-chapter-meeting-dive-into-data-from-the-driver-s-seat-1190
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