BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Chicago BEGIN:DAYLIGHT DTSTART:20250309T030000 TZOFFSETFROM:-0600 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:CDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0600 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:CST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250524T141015Z UID:86892075-8DD6-45DD-9F18-F04E066C0673 DTSTART;TZID=America/Chicago:20250521T120000 DTEND;TZID=America/Chicago:20250521T130000 DESCRIPTION:Abstract:\nThis tutorial provides an in depth review of the eve r evolving technical area called “Data Analytics\,” a subset of “Big Data\,” that encompasses data analysis\, data fusion\, data storage\, d ata sources\, infrastructure and technology\, screening and filtering algo rithms\, machine learning\, and complexity. These techniques will be intro duced with respect to their individual contribution to data analytics and to their combined contributions to data analytics system s. Specific use c ases will be presented in which participants will observe\, both through p resentation and videos\, the individual and combined applications and valu e of these techniques and systems for specific commercial and Department o f Defense (DoD) use cases.\n\nParticipants will emerge from this tutorial with a focused understanding of data analytics principles and techniques t hat will enable them to apply these concepts toward building engineering s ystems for mission decision support.\n\nTarget audience:\nThis tutorial is applicable to individuals interested in the analysis of data\, especially data scientists. Individuals who work in operations centers that are resp onsible for the processing\, exploitation and dissemination of large amoun ts of data collected from a wide variety of sensors will also find this tu torial very useful. Systems engineers focused on analysis of complex syste ms\, mission support\, and automated decision aides are also included in t he target audience.\n\nLearning outcomes:\nParticipants will emerge from t his tutorial with a focused understanding of data analytics principles and techniques that will enable them to apply these concepts toward building engineering systems for mission decision support.\n\nAll visitors will be required to enter SwRI through the main gate at the Culebra and Oak Hill i ntersection.\n\nAfter entry\, please proceed to SwRI Archives in Building 51. Location can be found using Google Maps\n\n(C9VP+J4 San Antonio\, Texa s).\n\nSpeaker(s): Dr. Paul Hershey\n\nBldg: Building 51\, 6220 Culebra\, San Antonio\, Texas\, United States\, 78238\, Virtual: https://events.vtoo ls.ieee.org/m/484116 LOCATION:Bldg: Building 51\, 6220 Culebra\, San Antonio\, Texas\, United St ates\, 78238\, Virtual: https://events.vtools.ieee.org/m/484116 ORGANIZER:nicole.webb@ieee.org SEQUENCE:57 SUMMARY:IEEE AESS & Systems Council: Hybrid Distinguished Lecturer - Dr. Pa ul Hershey (Raytheon) - Data Analytics Overview and Use Cases Tutorial URL;VALUE=URI:https://events.vtools.ieee.org/m/484116 X-ALT-DESC:Description: <br /><p>Abstract:<br>This tutorial provides an in depth review of the ever evolving technical area called &ldquo\;Data Analy tics\,&rdquo\; a subset of &ldquo\;Big Data\,&rdquo\; that encompasses dat a analysis\, data fusion\, data storage\, data sources\, infrastructure an d technology\, screening and filtering algorithms\, machine learning\, and complexity. These techniques will be introduced with respect to their ind ividual contribution to data analytics and to their combined contributions to data analytics system s. Specific use cases will be presented in which participants will observe\, both through presentation and videos\, the in dividual and combined applications and value of these techniques and syste ms for specific commercial and Department of Defense (DoD) use cases.</p>\ n<p>Participants will emerge from this tutorial with a focused understandi ng of data analytics principles and techniques that will enable them to ap ply these concepts toward building engineering systems for mission decisio n support.</p>\n<p><br>Target audience:<br>This tutorial is applicable to individuals interested in the analysis of data\, especially data scientist s. Individuals who work in operations centers that are responsible for the processing\, exploitation and dissemination of large amounts of data coll ected from a wide variety of sensors will also find this tutorial very use ful. Systems engineers focused on analysis of complex systems\, mission su pport\, and automated decision aides are also included in the target audie nce.</p>\n<p>Learning outcomes:<br>Participants will emerge from this tuto rial with a focused understanding of data analytics principles and techniq ues that will enable them to apply these concepts toward building engineer ing systems for mission decision support.</p>\n<p>&nbsp\;</p>\n<p><span st yle="font-size: 12.0pt\; font-family: 'Aptos'\,sans-serif\; mso-fareast-fo nt-family: 'Times New Roman'\; mso-bidi-font-family: Aptos\; color: black\ ; mso-ansi-language: EN-US\; mso-fareast-language: EN-US\; mso-bidi-langua ge: AR-SA\;"><span class="BxUVEf ILfuVd" lang="en"><span class="hgKElc">Al l visitors will be required to enter SwRI through the main gate at the Cul ebra and Oak Hill intersection. </span></span></span></p>\n<p><span style= "font-size: 12.0pt\; font-family: 'Aptos'\,sans-serif\; mso-fareast-font-f amily: 'Times New Roman'\; mso-bidi-font-family: Aptos\; color: black\; ms o-ansi-language: EN-US\; mso-fareast-language: EN-US\; mso-bidi-language: AR-SA\;"><span class="BxUVEf ILfuVd" lang="en"><span class="hgKElc">After entry\, please proceed to SwRI Archives in Building 51. Location can be fo und using Google Maps</span></span></span></p>\n<p><span style="font-size: 12.0pt\; font-family: 'Aptos'\,sans-serif\; mso-fareast-font-family: 'Tim es New Roman'\; mso-bidi-font-family: Aptos\; color: black\; mso-ansi-lang uage: EN-US\; mso-fareast-language: EN-US\; mso-bidi-language: AR-SA\;"><s pan class="BxUVEf ILfuVd" lang="en"><span class="hgKElc">(C9VP+J4 San Anto nio\, Texas).</span></span></span></p>\n<p>&nbsp\;</p> END:VEVENT END:VCALENDAR