The University of Texas at Tyler Department of Electrical Engineering Course: EENG 5320 Reliability Analysis Syllabus Catalog Description: Basic concepts of probability and reliability, time dependent reliability models, reliability growth predictions, strength based reliability; weakest link and fail-safe systems; Monte Carlo Methods, maintainability, availability, fault tree analysis, reliability data bases. Prerequisites: Prerequisites, Engineering Graduate Student, Course in probability and statistics, Programming skill in high level language and/or Matlab Credits: ( 3 hours lecture, 0 hours laboratory per week ) Text(s): Introduction to Reliability Engineering Additional Material: Access to MATLAB software Course Coordinator: Ron J Pieper Topics Covered: (paragraph of topics separated by semicolons) The following are topics covered by the class: review of statistics and probability ;Reliability models, Bath tub curve; Burn in and Accelerated testing; Failure rate; Time dependent; reliability; reliability growth least squares fits; Maintainability, Fault tree analysis Evaluation Methods: (only items in dark print apply): 1. Examinations / Quizzes 2. Homework 3. Report 4. Computer Programming 5. Project 6. Presentation 7. Course Participation 8. Peer Review Course Objectives1: By the end of this course students will be able to: 1. Program, plot and interpret discrete and continuous probability distribution functions {4] 2. Apply mathematical knowledge of statistics and probability to calculate failure rates, and reliability [1] 3. Explain semantics and terminology that is employed by the reliability community[1] 4. Application of Least Square’s Methods to testing and comparing fit to distribution types [1] [4] 5. Solve problems dealing with accelerated testing [1] 6. Predict reliability for series and parallel systems [1] 7. Explain a contemporary issue in reliability referring to relevant general industry guidelines for reliability such as Six Sigma Methods[3] 1Numbers in brackets refer to method(s) used to evaluate the course objective. EENG 5320_Reliability__Syllabus_Fall_2017V2.doc 1 1/31/2017 Relationship to Program Outcomes (only items in dark print apply)2: This course supports the following Electrical Engineering Program Outcomes, which state that our students will: : (only items in dark print apply): 1. Breadth and Depth: Students will be able to apply knowledge at a graduate level in two of the following areas: electronics, power systems, controls, advanced engineering mathematics, signal processing, communications, real- time systems, computer systems, electromagnetic and power electronics. [5] 2. Modern Engineering Tools: Students will be able to use modern engineering tools for analysis and design as applied to engineering problems.[1] 3. Advanced Engineering Mathematics: Students will be able to apply principles of advanced engineering mathematics including probability and statistics to engineering problems.[2] 4. Systems Design: Students will be able to apply systems design approaches including modeling and simulation of interacting sub-systems to complex engineering problems.[6] 5. Design Methods: Students will be able to demonstrate application of design methodology by comparing and evaluating solutions to engineering problems.[4] 6. Communication Skills: Students will demonstrate effective oral, visual and written communication skills from a technical perspective. [3,7] 2Numbers in brackets refer to course objective(s) that address the Program Outcome. Contribution to Meeting Professional Component: (in semester hours) Mathematics and Basic Sciences: 1 hours Engineering Sciences and Design: 2 hours General Education Component: hours Prepared By: Ron J Pieper Date: August 9,2017 EENG 5320_Reliability__Syllabus_Fall_2017V2.doc 2 1/31/2017 .