Course

Course Summary
Credit Type:
Course
ACE ID:
DAU-0344
Organization's ID:
CMQ 1310 & CMQ 231
Location:
Online
Length:
(CMQ 231) 34 classroom hours over the course of 5 days and CMQ 1310, approximately 6 hours
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Lower-Division Baccalaureate 3 Contract Administration
Description

Objective:

CMQ 1310: The Data Collection and Analysis Online Training (OLT) course provides an opportunity for students to gain an understanding of the importance of Data Collection and Analysis, the types of data to collect, and how to analyze data. This will enable the Quality Assurance Specialist to use the results of analysis in performing risk-based surveillance. Students will also have an opportunity to practice data analysis in an effort to strengthen their analytical skills and garner self-confidence when formulating opinions.

CMQ 231: The Data Collection and Analysis Virtual Instructor-Led Training (VILT) course provides an opportunity for the student to gain an understanding of the importance of Data Collection and Analysis, the types of data to collect, and how to analyze data. This will enable the Quality Assurance Specialist to use the results of analysis in performing risk-based surveillance. The student also has an opportunity to practice data analysis in an effort to strengthen their analytical skills and garner their confidence in formulating opinions. This course will provide an opportunity for Government QA personnel to build upon prior instruction and gain hands-on experience with data collection, analysis, collation, and dissemination. Students should be aware that CMQ231 was developed for DCMA and uses DCMA document templates. Class instruction concentrates upon FAR, DFARS or common principles which apply across all services.

Learning Outcomes:

  • define why Government acquisition organizations collect data
  • given access to documents, reports, and correspondence, choose the correct information to be used for quality assurance data collection
  • identify data extraction techniques to collate accurate and significant quality assurance data
  • identify specified data analysis concepts
  • interpret a quality assurance data analysis summary and supporting visual representation
  • recall data collection and analysis (DC&A) concepts
  • perform data collection and analysis on small and medium sized suppliers
  • perform data collection and analysis on large-sized suppliers

General Topics:

  • Data sources, types, and collections Quality assurance Data analysis requirements Universal types of quality assurance data Data analysis concepts Five W's within data analysis summary Small/Medium/Large sized suppliers Federal Acquisition Regulation (FAR) Defense Federal Acquisition Regulation Supplement (DFARS) Surveillance plan adjustments Risk Profile and Plan (RPP)
Instruction & Assessment

Instructional Strategies:

  • Computer Based Training
  • Practical Exercises
  • Performance Rubrics (Checklists)

Methods of Assessment:

  • Examinations
  • Other
  • Performance Rubrics (Checklists)
  • Quizzes
  • Scenarios

Minimum Passing Score:

80%
Supplemental Materials