Test and Evaluation

Course #OA4603

Starts: not available

Est. completion in 3 months

Offered through Distance Learning

Avg. tuition cost per course: See tuition Info For specific tuition costs of each program or contact information, please contact the NPS Tuition office at tuition@nps.edu .

Learn more about Service Obligation Info Officers accepting orders to a Graduate Education Program (GEP) are obligated to serve on active duty after completion.

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Overview

This course is designed to cover Developmental and Operational Test and Evaluation and Military Experimentation, including statistical concepts and methods frequently used in weapon system testing and experimentation environments. The course is taught from the perspective of the Program Manager, Test Project Officer, Test Engineer, Test Analyst, and Statistician. A number of actual military cases are used for examples. Topics include the Role of Test and Evaluation in Systems Engineering and Acquisition Management, Test Planning and Design, Development of Measures of Effectiveness and Measures of Performance, Conduct of Tests, Data Analysis, and Reporting of Test Results. A detailed group test planning project and design exercise are included. Upon successful completion of this course, students receive DAWIA Level II and Level III Intermediated and Advanced Test and Evaluation certification.

Included in Degrees & Certificates

  • 359

Prerequisites

  • A Previous course in probability and statistics or instructor's permission

Learning Outcomes

  • Explain role of decision makers in Test and Evaluation (T&E) for Acquisition.
  • Identify CTP/COIs, MOEs, MOPs, Data Requirements, Test Scenarios, and Run Profiles to develop a Detailed Weapon System Test Plan.
  • Effectively use simple and multiple regression including time series methods to create useful models for test data.
  • Discuss and design experiments for two-factor, three factor models including full factorial and 2K designs, limited testing using fractional designs and factor/interaction analysis.
  • Effectively use Nearly Orthogonal Latin Hypercube (NOLH) designs for pre-trial simulation experimentation to identify critical factors for live tests.