ANNOUNCEMENT:
To better serve you, Air University is moving to a new system for registering and managing students and delivering course content. This means there will be some changes in your experience with AFIT/LS. We apologize for any inconvenience or frustration this may cause. We are doing all we can to make this transition less stressful.
The current version of Canvas will be sun setting to make way for a new version. If you are currently in a SELF-PACED COURSE, it is HIGHLY recommended that you complete the course no later than 30 August 2022. If you are not able to finish by then, you will need to RE-REGISTER and RESTART that course in the new version of Canvas. Please note that PREVIOUS PROGRESS WILL NOT TRANSFER. Students can register for courses using the new registration system beginning 1 September.
If you are registered in an INSTRUCTOR-LED COURSE that will finish AFTER 1 September 2022, although you will be required to re-register for that course after 1 September 2022, you will NOT be required to restart. PREVIOUS PROGRESS WILL TRANSFER however student loaded material will need to be transferred by the student. Your instructor(s) will determine at what point the course will resume on the new Canvas platform.
Again, we sincerely apologies for any confusion or frustration this transition may cause. Starting 1 Sept 2022, more information about registration and other related topics can be found on our website at www.afit.edu/ls Please continue to review our website for updates at that time. Thanks for your patience and understanding.
updated August 10, 2022 7:57:46 AM EDT
This four day course is designed for reliability practitioners. Students will be introduced to a wide range of reliability engineering concepts based on mathematical and statistical principles discussed in class. Students will use these technical concepts and statistical principles to analyze reliability data, draw conclusions from the data, and then to construct graphs and reports required in the acquisition process, for example, Test and Evaluation Master Plans. This course emphasizes a hands- on approach where students complete in -class exercises using AFIT provided software tools currently used in the industry. Note: Individuals wishing to take a less technical course on reliability should consider REL 210, Reliability Basics for Acquisition Professionals.
Grade Restrictions: O-1 and above E-5 and above GS-07 and above
Special Requirements: REL 310 Requires access to AFIT's network. In order to access AFIT's network, an AFIT-specific DD Form 2875 is required & must be returned to AFIT/LS NLT 14 DAYS prior to the class start date. Students that do not complete the form WILL BE CANCELLED from the class. The form & instructions on how to fill it out are located on AFIT/LS's website at: https://www.afit.edu/LS/ click on Student Information and select DD Form 2875. Any questions can be directed to AFIT/LS Training Administrators at DSN 785-7777x3164 or e-mail AFIT.LSACOURSEMANAGER@afit.edu.
Location |
Offering # |
Start Date |
End Date |
---|---|---|---|
Kirtland AFB, NM | 23A-O | 24 Oct 2022 | 27 Oct 2022 |
Delivery Method: In-Residence/ On-Site Course and VIRR
Course Length: 4 days
Event Type: Training (Functional, Technical)Primary Audience: All AFSCs supporting Acquisition, Sustainmen Sustainment, Sustainment, Sustainment, Developmental Test and Operational Test please also review course description and prerequisites All Civilian Series supporting Acquisition, Sustainment, Developmental Test and Operations Test ple please please also review course description and prerequisites
CL Points: 32
Prerequisites:No specific courses. However, this course has a heavy emphasis on Probability and Statistical techniques. Students will conduct exercises applying these techniques by hand and through provided software, thus students should have a general and comfortable familiarity with mathematics at least at the intermediate college algebra level and an understanding of basic Probability and Statistics theory. It is HIGHLY RECOMMENDED that students refresh their knowledge by taking DAU's CLE 035-Introduction to Probability and Statistics computer- based course.