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UNI 4040V Applied Decision Analysis (Last Modified:06-Jun-2022)   Description THIS COURSE RETIRED AND IS NO LONGER OFFERED. This is a Lawrence Technological University (LTU) course provided via DAU with LTU professors. The course covers the options available for dealing with decisions under uncertainty. It is designed to acquaint students with basic ideas from decision theory to examine how to make better decisions. Topics include judgment and choice biases, applying statistical data, dealing with risk and decision making under risk, decision making under uncertainty, assessment of probabilities, Bayesian statistics, value of information, decisions with multiple objectives, analytic hierarchy process (AHP), game theory, dynamic programming, and well-being theory. Objectives Download Course Objectives Target Attendees NH-III/IV and equivalent defense acquisition workforce members, including business - cost estimating, business - financial management, contracting, engineering & technical management, lifecycle logistics, program management, and test & evaluation functional areas Prerequisite(s) See Notes Predecessor Course(s) Predecessor Predecessor Course Title PDS Code Expires On None None None None Course Length 40 student hours, over the course of 2 weeks (see Notes) Additional Course Information Delivery Mode Virtual Instructor Led Training Equivalent Courses N/A Availability All PDS Code HDO Walk-ins Authorized N/A Pre-work required No First Offering 9/28/2021 ACE Recommended Credits N/A Continuing Education Units   0 Continuous Learning Points  48 Reservist Retirement Points  0 Historical Allocations Mouse Over for Past CEU/CLPs Fulfillment Eligible N/A Technical Requirements Click Here Notes This course is restricted to DoD employees. Walk-ins NOT authorized. Level II or III certification Engineering, Test & Evaluation, Program Management, Business Financial Management OR Business Cost Estimating career field is REQUIRED for all attendees. Virtual classes are conducted via MS Teams Education. Course design: 3 Virtual instructor-led (VILT) sessions in weeks 1 and 2 (Tuesday/Wednesday/Thursday, 8:00 a.m.- 5 p.m.; optional office hours avail on demand)