BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Australia/Adelaide BEGIN:DAYLIGHT DTSTART:20251005T030000 TZOFFSETFROM:+0930 TZOFFSETTO:+1030 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=10 TZNAME:ACDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20260405T020000 TZOFFSETFROM:+1030 TZOFFSETTO:+0930 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=4 TZNAME:ACST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260306T213253Z UID:DA3B1D92-4DBF-482B-9399-20745CE19F5E DTSTART;TZID=Australia/Adelaide:20260319T080000 DTEND;TZID=Australia/Adelaide:20260319T130000 DESCRIPTION:This short course will present the fundamentals of Uncertainty Propagation (UP) through the lens of SSA to help attendees understand the implications of how uncertainty may be represented and correctly propagate d. Accurate UP is a fundamental driver for timely and accurate SSA. Broadl y\, UP is the science of quantifying\, reducing\, and understanding sensit ivity to uncertainty and how they map through our computer simulations/mod els and algorithms. Propagated uncertainty can determine how we interpret knowledge extracted from data and computer simulations\, what potential da ta may help to reduce uncertainty\, and ultimately influences operator dec isions. The primary goal of this course is to introduce attendees to the f undamental principles and methods of uncertainty propagation\, which they may use in their work and research after this course.\n\nTopics will inclu de definitions of key components of UP\, sources of uncertainty in simulat ions\, an overview of existing tools for uncertainty prediction through co mputer models\, and various methods of analyzing sensitivity to sources of uncertainty. Concepts will be illustrated through SSA-centric application s such as orbit uncertainty propagation. Finally\, attendees will be intro duced to the latest areas of research in UP\, including multi-fidelity met hods.\n\nThis course is intended for those looking to improve their unders tanding on how to propagate uncertainty beyond the traditional methods bas ed on linearization. While anyone working with uncertainty will benefit fr om this course\, it will be especially useful to those using or implementi ng software tools for simulation and data analysis. Attendees familiar wit h basic probability and statistics will have the foundation necessary for this short course.\n\nThe course will be taught by Associate Prof. Brandon Jones from the University of Texas at Austin.\n\nTickets\n\nTicket Price\ nGeneral AUD 50\nIEEE Member AUD 30\nStudent AUD 30\nGroup discount availa ble for more information please contact the organisers.\n\nSpeaker(s): Bra ndon Jones\n\nAgenda: \n08:00 – 8:50 | Registration at Table on the Terr ace\, Lot Fourteen\n08:50 – 9:00 | Walk to Lecture Theatre\n09:00 – 10 :30 | Uncertainty Propagation for Space Situational Awareness Session 1\n1 0:30 - 11:00 | Coffee Break\n11:00 – 13:00 | Uncertainty Propagation for Space Situational Awareness Session 2\n\nRoom: Ground Floor\, Bldg: Lectu re Theatre\, Lot Fourteen\, TechCentral\, Adelaide\, South Australia\, Aus tralia\, 5000 LOCATION:Room: Ground Floor\, Bldg: Lecture Theatre\, Lot Fourteen\, TechCe ntral\, Adelaide\, South Australia\, Australia\, 5000 ORGANIZER:waashwal@ieee.org SEQUENCE:38 SUMMARY:Uncertainty Propagation for Space Situational Awareness URL;VALUE=URI:https://events.vtools.ieee.org/m/537818 X-ALT-DESC:Description: <br /><p>This short course will present the fundame ntals of Uncertainty Propagation (UP) through the lens of SSA to help atte ndees understand the implications of how uncertainty may be represented an d correctly propagated. Accurate UP is a fundamental driver for timely and accurate SSA. Broadly\, UP is the science of quantifying\, reducing\, and understanding sensitivity to uncertainty and how they map through our com puter simulations/models and algorithms. Propagated uncertainty can determ ine how we interpret knowledge extracted from data and computer simulation s\, what potential data may help to reduce uncertainty\, and ultimately in fluences operator decisions. The primary goal of this course is to introdu ce attendees to the fundamental principles and methods of uncertainty prop agation\, which they may use in their work and research after this course. <br><br>Topics will include definitions of key components of UP\, sources of uncertainty in simulations\, an overview of existing tools for uncertai nty prediction through computer models\, and various methods of analyzing sensitivity to sources of uncertainty. Concepts will be illustrated throug h SSA-centric applications such as orbit uncertainty propagation. Finally\ , attendees will be introduced to the latest areas of research in UP\, inc luding multi-fidelity methods.<br><br>This course is intended for those lo oking to improve their understanding on how to propagate uncertainty beyon d the traditional methods based on linearization. While anyone working wit h uncertainty will benefit from this course\, it will be especially useful to those using or implementing software tools for simulation and data ana lysis. Attendees familiar with basic probability and statistics will have the foundation necessary for this short course.</p>\n<p>The course will be taught by <strong>Associate Prof. Brandon</strong> Jones from the Univers ity of Texas at Austin.&nbsp\;</p>\n<p><strong>Tickets</strong></p>\n<tabl e style="border-collapse: collapse\; width: 200px\; border-width: 1px\; bo rder-spacing: 1px\;" border="1" summary="Ticket Prices" cellspacing="1" ce llpadding="1">\n<tbody>\n<tr>\n<td>Ticket</td>\n<td>Price</td>\n</tr>\n<tr >\n<td>General</td>\n<td>AUD 50</td>\n</tr>\n<tr>\n<td>IEEE Member</td>\n< td>AUD 30</td>\n</tr>\n<tr>\n<td>Student</td>\n<td>AUD 30</td>\n</tr>\n</t body>\n</table>\n<p>Group discount available for more information please c ontact the organisers.&nbsp\;</p>\n<p>&nbsp\;</p><br /><br />Agenda: <br / ><p>08:00 &ndash\; 8:50&nbsp\; &nbsp\; &nbsp\;| Registration at Table on t he Terrace\, Lot Fourteen&nbsp\;<br>08:50 &ndash\; 9:00&nbsp\; &nbsp\; &nb sp\;| Walk to Lecture Theatre<br>09:00 &ndash\; 10:30&nbsp\; &nbsp\;| Unce rtainty Propagation for Space Situational Awareness Session 1<br>10:30 - 1 1:00&nbsp\; &nbsp\;| Coffee Break<br>11:00 &ndash\; 13:00&nbsp\; &nbsp\;| Uncertainty Propagation for Space Situational Awareness Session 2</p> END:VEVENT END:VCALENDAR