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UNI 4030V





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iCatalog Home UNI 4030V Artificial Intelligence/Machine Learning
(Last Modified:17-Mar-2021)

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Description
This is a George Mason University (GMU) course provided via DAU with GMU professors. The artificial intelligence area of machine learning provides the engine behind predictive analytics. This course provides a technical overview of the various disciplines within data analytics currently in use within OSD ADVANA, OSD (A&S) DaVE, USA/USAF PMRT and Navy RDAIS teams.
Objectives
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Target Attendees
NH-III/IV and O-4/O-5 seasoned acquisition professionals in the career fields of engineering, test & evaluation, program management, and financial management/cost estimating
Prerequisite(s)
One of the following:
  • BCF 301, Business, Cost Estimating, and Financial Management Workshop
  • BCF 331, Advanced Concepts in Cost Analysis
  • ENG 302, Advanced Systems Engineering
  • PMT 360, Program Management Office Course, Part B
  • STM 304, Leadership in Science and Technology Management
  • TST 303, Advanced Test and Evaluation
  • Predecessor Course(s) (Acceptable as a substitute for this course until the acceptance date specified below.)
    Predecessor Predecessor Course Title PDS Code Accepted Until
    None None None None
    Course Length
    30 student hours, over the course of 5 weeks (see Notes)
    Additional Course Information
    Delivery Mode Virtual Instructor Led Training
    Equivalent Courses N/A
    ACE Recommended Credits N/A
    PDS Code B3I
    DAU Public (material/prework) N/A
    Continuing Education Units   0
    Continuous Learning Points  30
    Reservist Retirement Points  0
    Historical Allocations Mouse Over for Past CEU/CLPs
    Notes
  • This course is restricted to DoD employees. Walk-ins NOT authorized.
  • Virtual classes are conducted via Cisco Webex/MS Teams.

  • Course design:
  • 2 Virtual instructor-led (VILT) sessions in weeks 1-3 (Mon-Wed 12:30-4:00pm; optional office hours avail on demand)
  • 1 VILT session weeks 4-5 (Mon 12:30-4:00pm)
  • Weekly assignments between live sessions