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DTSTART;TZID=America/New_York:20210406T083000
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SUMMARY:Washington Capital Area Virtual Workshop
DESCRIPTION:Attending this webinar counts as 4 hours of training or 0.4 points towards your CCEA recertification. \nCybersecurity 20/21 – Vision of the Future \nAll Washington Capital Area Chapter Members (as well as non-members) are welcome! \nThe Washington Area Chapter of ICEAA is pleased to announce that registration is now open for a virtual half day joint workshop and annual meeting featuring a series of invited speakers offering their perspective on a subject that is on the forefront of the media front page and decision makers’ minds – cybersecurity. \nThere appears to be an end in sight for most Covid-19 related restrictions\, but we aren’t quite there yet. So while there may be some virtual meeting fatigue\, we hope the longer\, warmer\, sunnier days along with the great speaker line up and awards presentation we’ve got scheduled\, will motivate you to tune in to our virtual workshop. \nAgenda \n• 08:30: Welcome by Chapter President Mr. Remmie Arnold\n• 08:45: Dr. John Dargan\, Director of Systems Engineering & Standards\, S&T Directorate\, DHS – Privacy & Cybersecurity Requirements for DHS Acquisition Programs\n• 09:30: Ms. Jandria Alexander\, Principal\, Booz Allen Hamilton – Cyber Security Cost Engineering: Driving Towards Consistency\n• 10:15: Mr. Mike Ryan\, Deputy Cyber Security Officer (CSO)\, NRO Cybersecurity: A History\, The Basics\, and a Practitioners Perspective\n• 11:00: DC Chapter Board of Directors Report & DC Chapter Award Presentation\n• 11:45: Ms. Megan Jones\, ICEAA International – ICEAA International Update to Members\n• 12:00: Closing Comments/Adjourn \nRSVP here: https://attendee.gotowebinar.com/register/8026382519131386383
URL:https://www.iceaaonline.com/calendar/washington-capital-area-virtual-workshop/
LOCATION:Virtual Conference Call
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DTSTART;TZID=America/Los_Angeles:20210408T110000
DTEND;TZID=America/Los_Angeles:20210408T123000
DTSTAMP:20260505T063039
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SUMMARY:Machine Learning in Space
DESCRIPTION:Attending this webinar counts as 1 hour of training or 0.1 points towards your CCEA recertification. \n \nThe ICEAA Southern California Chapter and the ICEAA Machine Learning Working Group have teamed up to offer three presentations on Machine Learning in Space: \n• Acquisition Complexity (ACS) Using Principal Component Analysis (PCA)\nMike Finnegan\, The Boeing Company \n• Proposing a Space-Based Missile Defense Program: Examining Engineering Complexities and Cost Feasibility\nSirina Nabhan and Matthew Ramirez\, NASA Jet Propulsion Laboratory \n• 2021 Plans for the Machine Learning Working Group\nML Group Steering Committee: Bryan Anderson\, Dan Harper\, Adam James\, Karen Mourikas\, Christian Smart
URL:https://www.iceaaonline.com/calendar/machine-learning-in-space/
LOCATION:Virtual Conference Call
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DTSTART;TZID=America/New_York:20210422T120000
DTEND;TZID=America/New_York:20210422T130000
DTSTAMP:20260505T063039
CREATED:20210315T185516Z
LAST-MODIFIED:20210322T175511Z
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SUMMARY:OEM COG Meeting - Industry Perspectives on Affordability Analysis
DESCRIPTION:Attending this webinar counts as 1 hour of training or 0.1 points towards your CCEA recertification. \nIndustry Perspectives on Affordability Analysis\nThursday\, April 22nd | 12:00 noon EDT \nJoin the OEM COG as we dive into the subject of Affordability Analysis\, and how that means a lot of different things to different people. We intend to explore various perspectives\, terminology and definitions that will help cost analysis professionals be better prepared to support affordability efforts within their own organizations. We strongly encourage you to continue to reach out and collaborate with your colleagues in small groups to prepare to contribute!
URL:https://www.iceaaonline.com/calendar/oem-cog-meeting-industry-perspectives-on-affordability-analysis/
LOCATION:Virtual Conference Call
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DTSTART;TZID=America/New_York:20210428T120000
DTEND;TZID=America/New_York:20210428T130000
DTSTAMP:20260505T063039
CREATED:20210322T134220Z
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SUMMARY:ICEAA TechShowcase: Modeling Unit Learning Curves from Lot Data
DESCRIPTION:Palisade Presents: \n \nModeling Unit Learning Curves from Lot Data\nWednesday\, April 28 2021\n12 noon EDT \nEstimating the cost of a project or manufacturing operation where the effect of learning is anticipated can pose a calculational challenge\, especially when extrapolating from lot data. After a brief introduction covering the basics of unit learning/experience curves\, this webinar will: demonstrate how to make the appropriate transformations for modeling a power curve from lot data; use Excel’s Goal Seek to solve for the unknown learning curve “slope;” and with the resulting regression equation’s error term as the input variable run an @RISK simulation for the cost of a succeeding lot.\n \nPresented by Dr. Steve Van Drew \nDr. Steve Van Drew embodies the jack-of-all trades lifestyle as a former leader/manager\, academician\, and analytical practitioner\, with a multi-disciplinary education in engineering\, applied economics\, and management science/operations research. Steve enjoys a busy “retirement” near Richmond\, VA\, and yet manages to dedicate time to share his passion for spreadsheet modeling and @RISK.
URL:https://www.iceaaonline.com/calendar/iceaa-techshowcase-modeling-unit-learning-curves-from-lot-data/
LOCATION:Virtual Conference Call
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