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Short Courses

Upcoming Virtual STAT 110: Intro to STAT Offerings
RSVP for one of the following dates. Open to government/military members (contractors may contact afitcoe@afit.edu).
  • 19-20 Jan 2022 1300-1630 ET RSVP by Jan 12, 2022
  • 23-24 Mar 2022 1300-1630 ET  RSVP by Mar 16, 2022
  • 18-19 May 2022 1300-1630 ET  RSVP by May 11, 2022

STAT COE Course FAQ
STAT COE Course Syllabi

Reliability and Reliability Growth (REL) 

REL 220:  Reliability for Practitioners

This two-day course provides an overview of methods and concepts in reliability. The course emphasizes planning and analysis techniques for DoD reliability testing, both at the sub-system and system level. Students will learn how to apply the STAT process for reliability testing by assessing requirements, decomposing the system, creating a test design, and analyzing the results. Additional special topics include reliability growth methods, Bayesian reliability, and reliability software testing. This course is intended for practitioners, managers, and stakeholders with a few hands-on activities and software demonstrations.

Target Audience:
Course Length:
Continuous Learning Points (CLPs):
GS-07 to GS-14 and O-2 and above, or equivalent
2 Days
16

Recommended for any T&E practitioner. Common job titles of those that have taken the course in the past include: program manager, T&E lead, chief developmental tester, test engineer, test manager, test scientist, range/lab personnel, reliability engineer, reliability/RAM manager.

REL 250: Extended Reliability for Practitioners

This five-day course is designed to teach students basic techniques and processes needed to create rigorous reliability tests, assess reliability metrics, analyze reliability data, and explain reliability growth. The course emphasizes planning and analysis techniques for DoD reliability testing, both at the sub-system and system level. Students are introduced to tools and techniques for system decomposition, risk tracking, reliability test designs, and analysis in order apply it their own testing efforts. The course includes advanced reliability topics and elective lessons that can be tailored to the organization’s requirements including reliability growth planning, tracking, and projection, Bayesian reliability, reliability software testing, assessing availability, and accelerated life testing. This course is intended for practitioners and reliability engineers with hands-on class projects and exercises to reinforce learning objectives.

 

Target Audience:
Course Length:
Continuous Learning Points (CLPs):
GS-11 and above or O-2 and above, or equivalent
4.5 Days
36

 

Recommended for any reliability T&E practitioner. Common job titles of those who have previously taken the course include: test engineer, test manager, test scientist, range/lab personnel, reliability engineer, reliability/RAM manager.

Design of Experiments (DOE)

 

DOE 320: Design of Experiments for Managers

 

This two-day course introduces the basic concepts of Scientific Test and Analysis Techniques (STAT), with a focus on design on Experiments (DOE) and how it can be applied to test programs. The course emphasizes why DOE is important in DOD testing and how it can be applied for many different systems under test. Students will leave this class with an understanding of the STAT Process and an arsenal of questions to ask during test planning to ensure your test program is rigorous and defensible. Students will also learn test metrics to evaluate the risk that a program incurs by tracing risk through test planning, design, execution, and analysis. This course is intended for practitioners, managers, and stakeholders with a few hands-on activities and software demonstrations.  

 

Target Audience:

Course Length:

Continuous Learning Points (CLPs):

GS-11 and above or O-2 and above, or equivalent

2 Days

16


Recommended for any T&E practitioner. Common job titles of who have previously taken the course include: program manager, T&E lead, chief developmental tester, test engineer, test manager, test scientist, range/lab personnel.

 

DOE 251: Design of Experiments for Practitioners

 

This five-day course in design of experiments (DOE) teaches students basic techniques and processes needed to create a statistically rigorous and defensible test for complex systems. A well-designed test can lead to reduced development lead time with fewer test runs required, provide greater insight into system performance, and ultimately lead to fielding better systems. Using examples from military test and evaluation (T&E) and the students’ own test experiences, the course has a strong applied flavor. Students will learn how to plan, design, and analyze tests efficiently and effectively. Students will learn a disciplined approach via the STAT Process to clearly define the test objectives, responses, input factors that impact the responses, and the recommended settings for these factors to effectively span the test space. Students will design effective tests and understand tradeoffs in risk versus test size through appropriate sample size computations. Students will construct efficient test run matrices, develop statistical models, test models for assumptions, and quantify the uncertainty of test results. Factorial, fractional factorial, and custom designs are the methods used throughout this course. Hands-on class projects and exercises will reinforce learning objectives.

 

Target Audience:

Course Length:

Continuous Learning Points (CLPs):

GS-11 and above or O-2 and above

5 Days

36

 

Recommended for any T&E practitioner. Common job titles of those who have previously taken the course include: test engineer, test manager, and test scientist.

 

DOE 252: Design of Experiments for Practitioners

 

This course reinforces the fundamentals from DOE 251, examines (more closely) what a good design entails across a variety of metrics, introduces new classes of designs, and provides advanced modeling and analysis methods. Design evaluation topics include power, sample size, optimality, and aliasing criteria. Students will learn additional design approaches for realistic test issues such as constrained test regions, multiple factor levels, categorical factors, nuisance factors, and hard-to-change factors. Sequential design is highlighted with augmentation methods. The course begins by reinforcing and building upon student knowledge (from DOE 251) on factorials, power, fractional factorials, and optimal designs. Advanced material on definitive screening designs are addressed with additional focus on response surface methods to model nonlinear behavior particularly when the test objective is to optimize performance; several variations of response surface designs are presented. The course includes advanced DOE topics and elective lessons that can be tailored to the organization’s requirements including multiple response optimization, design optimality (with an introduction to robust screening and alias optimal designs), split-plot designs for hard-to-change factors, designs for software testing and others.
 

Target Audience:

Course Length:

Continuous Learning Points (CLPs):

GS-11 and above or O-2 and above

5 Days

36


Recommended for any T&E practitioner. Common job titles of those who have previously taken the course include: test engineer, test manager, and test scientist.

Scientific Test and Analysis Techniques (STAT)

STAT 110: Scientific Test and Analysis Techniques Overview

This one-day course, designed for any audience, will introduce The Scientific Test and Analysis Techniques (STAT) Process - a powerful methodology for test and evaluation. The course demonstrates how STAT is critical in the planning, design, execution, and analysis of test. The course shows application of the STAT process using real life case studies from the STAT COE. It introduces methods available in the STAT toolbox to evaluate system performance against identified requirements and highlights the uses of sequential testing. Students will leave this class with an understanding of the STAT Process and an arsenal of questions to ask during test planning to ensure your test program is rigorous and defensible. This class is intended for anyone interested in STAT for T&E and is typically delivered virtually in two half-day sessions. 
 

Target Audience:

Course Length:

Continuous Learning Points (CLPs):

Recommended for anyone interested in STAT for T&E

1 Day (6 hours) - typically delivered virtually over 2 days

None

 

STAT 201: Survey
 
This 5-hour survey module will walk students through the life cycle of a survey from initial creation to interpretation of end results. The module begins with a discussion on how to decide if a survey is needed and how surveys are developed using the Scientific Test and Analysis Techniques (STAT) process. Students will learn different sampling methods, pros and cons of types of survey questions, survey development, assessment of survey validity and reliability, traditional statistical analysis methods, and analysis of free response. Examples include the System Usability Survey, sample surveys, and an assortment of JMP demos.
 

Target Audience:

Course Length:

Continuous Learning Points (CLPs):

GS-11 and above or O-2 and above, or equivalent

5 Hours

5

 
Recommended for any T&E practitioner. Common job titles of those who have previously taken the course include: test engineer, test manager, and test scientist.
 
STAT 201: Machine Learning 
 
This 5-hour module will introduce fundamental concepts in supervised and unsupervised machine learning algorithms. The course begins with a discussion on the definition of machine learning and types of problems common in machine learning applications including: classification, numeric prediction, and clustering. The course will present examples and demonstrations of several machine learning algorithms to accomplish these tasks, comparing and contrasting competing algorithms. Students will learn best practices for implementing these algorithms to avoid model overfitting and methods for model comparison in order to select the most appropriate model for a given dataset. Demos and exercises with real-life examples will be presented in JMP (with accompanying R code supplied to students as an alternative).
 

Target Audience:

Course Length:

Continuous Learning Points (CLPs):

GS-11 and above or O-2 and above, or equivalent

5 Hours

5

 
Recommended for any T&E practitioner. Common job titles of those who have previously taken the course include: test engineer, test manager, and test scientist.

STAT 410: Scientific Test and Analysis Techniques for Executives
 
This half-day course, designed for executives, will introduce the Scientific Test and Analysis Techniques (STAT) Process - a powerful methodology for test and evaluation. The course provides a high level overview of STAT with a focus on planning and reporting results. The course utilizes STAT COE case studies to demonstrate real-life applications of STAT. Executives will leave this course knowing how to support STAT implementation in their current work by asking insightful questions on STAT rigor. 

Target Audience:

Course Length:

Continuous Learning Points (CLPs):

SES-equivalent or higher 

Half-day (4 hours)

None


DevSecOps (DSO)

DSO 410: DevSecOps

DevSecOps is changing the way in which the Department of Defense (DoD) develops, deploys, and protects software intensive systems. This new paradigm requires an understanding of processes, tools, and techniques for Test and Evaluation (T&E). This half-day course, designed for T&E executives, will introduce the DevSecOps software lifecycle as applied to DoD software intensive systems. A high level overview and summary of the goals, tools, and activities within each phase of the DevSecOps lifecycle will be covered. The course will follow each phase within the DevSecOps lifecycle and highlight T&E leadership opportunities for applying Scientific Test and Analysis Techniques (STAT), software test automation, and security testing. T&E leadership will leave this course with knowledge and understanding of what DevSecOps represents, how this affects T&E activities, and the necessary questions to conduct a comprehensive DevSecOps T&E gap analysis.

Target Audience:

Course Length:

Continuous Learning Points (CLPs):

SES-equivalent or higher (recommended for DoD executive-level test and evaluation (T&E)

Half-day (4 hours)

None

 

 

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