Master of Engineering Courses

This interdisciplinary option is offered by the Department of Mechanical Engineering. Typical areas of study include topics such as the mechanisms and physics of failure, methods of design for reliability, maintainability engineering, life cycle costing and equipment sparing policies. At least six of the courses in a student's coursework plan must be in Reliability Engineering (ENRE). The coursework plan must contain the following Reliability Engineering core courses: ENRE 600 Fundamentals of Failure Mechanisms and ENRE 602 Reliability Analysis. Students may not register for more than a total of six credits of ENRE 648: Special Problems in Reliability Engineering, no more than three credits in a single semester. For each registration of ENRE648 an approved scholarly paper must be submitted.


Reliability Engineering

ENRE600 Fundamentals of Failure Mechanisms (3)
Credit only granted for: ENMA698M, ENNU648M, or ENRE600.
Physical, chemical, and thermal related failures are introduced through a basic understanding of degradation mechanisms such as diffusion, electromigration, defects and defect migration. The failure mechanisms in basic material types will be taught. Failure mechanisms observed in real devices will also be presented. Problems related to manufacturing, and achieving quality and reliability will be analyzed. Mechanical failures are emphasized from the point of view of complex fatigue theory. The mathematical and statistical basis for analysis is presented as well as Failure Mode and Failure Anaylsis.
ENRE602 Reliability Analysis (3)
Principal methods of reliability analysis, including fault tree and reliability block diagrams; Failure Mode and Effects Analysis (FMEA); event tree construction and evaluation; reliability data collection and analysis; methods of modeling systems for reliability analysis. Focus on problems related to process industries, fossil-fueled power plant availability, and other systems of concern to engineers.

Reliability Engineering

ENRE620 Mathematical Techniques of Reliability Engineering (3)
Also offered as: ENNU620.
Basic probability and statistics. Application of selected mathematical techniques to the analysis and solution of reliability engineering problems. Applications of matrices, vectors, tensors, differential equations, integral transforms, and probability methods to a wide range of reliability related problems.
ENRE640 Collection and Analysis of Reliability Data (3)
Prerequisite: ENRE602.
Basic life model concepts. Probabilistic life models, for components with both time independent and time dependent loads. Data analysis, parametric and nonparametric estimation of basic time-to-failure distributions. Data analysis for systems. Accelerated life models. Repairable systems modeling.
ENRE641 Probabilistic Physics of Failure and Accelerated Testing (3)
Credit only granted for: ENRE641 or ENRE650. Formerly: ENRE650.
Models for life testing at constant stress. Graphical and analytical methods. Test plans for accelerated testing. Competing failure modes and size effects. Models and data analyses for step and time varying stresses. Optimizing of test plans.
ENRE642 Reliability Engineering Management (3)
Unifying systems perspective of reliability engineering management. Design, development and management of organizations and reliability programs including: management of systems evaluation and test protocols, development of risk management-mitigation processes, and management of functional tasks performed by reliability engineers.
ENRE645 Human Reliability Analysis (3)
Prerequisite: ENRE600 and ENRE602; or permission of ENGR-Materials Science & Engineering department. Credit only granted for: ENRE645 or ENRE734. Formerly: ENRE734.
Methods of solving practical human reliability problems, the THERP, SLIM, OAT and SHARP methods, performance shaping factors, human machine systems analysis, distribution of human performance and uncertainty bounds, skill levels, source of human error probability data, examples and case studies.
ENRE648 Special Problems in Reliability Engineering ()
Repeatable to 6 credits if content differs. For students who have definite plans for individual study of faculty-approved problems. Credit given according to extent of work.
ENRE655 Advanced Methods in Reliability Modeling (3)
Prerequisite: ENRE602. Credit only granted for: ENRE655 or ENRE665. Formerly: ENRE665.
Bayesian methods and applications, estimation of rare event frequencies, uncertainty analysis and propagation methods, reliability analysis of dynamic systems, analysis of dependent failures, reliability of repairable systems, human reliability analysis methods and theory of logic diagrams and application to systems reliability.
ENRE670 Probabilistic Risk Assessment (3)
Prerequisite: ENRE602. Also offered as: ENNU651. Credit only granted for: ENNU651 or ENRE670.
Why study risk, sources of risk, overview of Risk Assessment and Risk Management, relation to System Safety and Reliability Engineering; measures, representation, communication, and perception of risk; overview of use of risk assessment results in decision making; overview of Probabilistic Risk Assessment (PRA) process; detailed converge of PRA methods including (1) methods for risk scenario development such as identification of initiators, event sequence diagrams, event trees, causal modeling (fault trees, influence diagrams, and hybrid methods), and simulation approaches; (2) methods of risk scenario likelihood assessment, including quantitative and qualitative approaches, as well as uncertainty modeling and analysis. Also covers methods for risk modeling of system hardware behavior, physical phenomena, human behavior, software behavior, organizational environment, and external physical environment. Additional core topics include risk model integration and quantification (Boolean-based, binary decsion diagram, Bayesian belief networks, and hybrid methods), simulation-based Dynamic PRA methods (discrete and continuous) and several examples of large scale PRAs for space missions, nuclear power, aviation and medical systems.
ENRE671 Risk Assessment in Engineering (3)
Prerequisite: ENRE670. Credit only granted for: ENRE648W or ENRE671. Formerly: ENRE648W.
Introduction to risk management and decision-making, including uncertainty propagation, importance ranking, risk acceptance criteria, decision analysis and other decsion-making techniques, risk communication.
ENRE684 Information Security (3)
Credit only granted for: ENRE648J or ENRE684. Formerly: ENRE648J.
This course is divided into three major components: overview, detailed concepts and implementation techniques. The topics to be covered are: general security concerns and concepts from both a technical and management point of view, principles of security, architectures, access control and multi-level security, trojan horses, covert channels, trap doors, hardware security mechanism, security models, security kernels, formal specifications and verification, networks and distribution systems and risk analysis.

Reliability Engineering

ENRE447 Fundamentals of Reliability Engineering (3)
Credit only granted for: ENRE445 or ENRE447. Formerly: ENRE445.
Topics covered include: fundamental understanding of how things fail, probabilistic models to represent failure phenomena, life-models for non-repairable items, reliability data collection and analysis, software reliability models, and human reliability models.

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