Course

Credit Type:
Course
ACE ID:
DAU-0366
Version:
1
Organization's ID:
CCON 004
Location:
Online
Length:
Approximately 61 hours
Minimum Passing Score:
80
ACE Credit Recommendation Period:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Upper-Division Baccalaureate 3 Quantitative Methods
Description

Objective:

The course objective is to cover quantitative techniques crucial in contract pricing within the acquisition landscape. Through three virtual instructor-led training courses, students will learn to organize, sample, and perform statistical and visual analysis on one-variable datasets; develop logical cost-estimating relationships; and predict cost or price behaviors using learning curves. As part of the curriculum, students will listen to insights from practitioners in the field on pricing quantity curves, bands and ranges and attend a webinar about pricing variable quantities that will provide realistic applications of the quantitative techniques taught. Intended for any acquisition professional seeking to enhance their expertise in contract pricing, this credential equips students with practical skills in utilizing quantitative methods for pricing analysis, employing Excel tools for data modeling and interpreting information.

Learning Outcomes:

  • Given a sample bill of materials (BOM), perform stratified sampling to develop a government objective
  • Given a data set, perform an analysis of the descriptive statistics
  • Given data on three alternatives, determine the order of preference
  • Given a data set, construct a confidence interval at a given level of confidence
  • Given a data set, correctly perform the analysis necessary to support a recommendation for the preferred simple linear equation
  • Given a data set, correctly perform the analysis necessary to support a recommendation for the preferred equation, considering nonlinear equations with a single independent variable
  • Given a dependent variable and two or more independent variables, correctly perform the analysis necessary to support a recommendation for the preferred equation, considering linear and nonlinear, single and multiple variable equations
  • Given a scenario that includes lot size, lot cost (dollars or hours), and related production history, construct a defendable government objective for future production lots
  • Given historical data and information on the impact of a production break, assess the lost learning using the Anderlohr technique

General Topics:

  • Stratified Sampling
  • Descriptive Statistics
  • Decision Theory
  • Confidence Intervals
  • Regression: Linear - Nonlinear - Multiple
  • Nature of Cost
  • Unit Formulation
  • Cumulative Average Formulation
  • Modeling Learning Curves
  • Production Breaks
Instruction & Assessment

Instructional Strategies:

  • Audio Visual Materials
  • Case Studies
  • Discussion
  • Learner Presentations
  • Practical Exercises
  • Performance Rubrics (Checklists)
  • Webinar

Methods of Assessment:

  • Case Studies
  • Examinations
  • Performance Rubrics (Checklists)
Supplemental Materials
Equivalencies

Other offerings from Defense Acquisition University