Cost Estimation I: Methods and Techniques

Course #OS3701

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Clock Est. completion in 3 months

Location pin Offered through Distance Learning

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Overview

This course provides a broad-based understanding of the cost analysis activities involved in the acquisition and support of DoD systems. It introduces operations research techniques fundamental to the field of cost estimation. The course covers the collection and sources, and economic analysis; it develops, uses, and analyzes cost estimating techniques commonly encountered in both the DoD and industry, including statistical and nonstatistical cost estimating relationships, inflation indices, cost improvement curves, time phasing, wrap rates, and uncertainty analysis.

Included in Degrees & Certificates

  • 289
  • 379

Prerequisites

  • OS3080

Learning Outcomes

The general objective of this course is to provide the student with the knowledge required to create, understand and interpret acquisition life cycle cost estimates, economic analyses and analyses of alternatives. A good basic understanding of the principles of probability is essential. Prior knowledge of regression analysis is helpful, but not a pre-requisite. The specific learning objectives for this course are for each student to demonstrate comprehension and application of the following aspects of DoD weapon system life cycle cost analysis: The DoD System Acquisition Process, The cost estimating process, Cost data sources, Normalization and inflation/deflation of cost data, The cost modeling process, Regression analysis, including single- and multi-variable regression Transformation of non-linear data to linear data using the Power function Development and documentation of cost models, Estimation by analogy, Estimation by cost factors, Time phasing development and production, Cost improvement curves (a.k.a. learning curves), Operating and support (O&S) cost estimating, Risk and uncertainty analysis, Software cost estimating, Utilizing the Unified Facilities Criteria (UFC’s) to create engineering cost estimates.