• NE 569: Medicl Physics Clnicl Experinc

  3.00 Credits

  The University of Tennessee - Knoxville

  
  This is a summer internship offered through local healthcare facilities. The student will rotate through oncology departments to gain experience in all aspects of clinical operations. The student will be required to demonstrate their educational learning at the end of the clinical rotation.Grading Restriction: Satisfactory/No Credit grading only.(RE) Prerequisite(s): NE 565 and NE 566 and NE 567, and NE 568.Registration Restrictions: Admission into the Medical Physics MS or Medical Physics graduate certificate.
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• NE 571: Reactor Theory and Design

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Analytical and numerical techniques for neutronics modeling of nuclear systems. Forward and adjoint Boltzmann transport equation. Multigroup diffusion theory. Core analysis methods and codes.Registration Restriction: Minimum student level – graduate.
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• NE 573: Nucl Reactor Kinetics/Dynamics

  3.00 Credits

  The University of Tennessee - Knoxville

  
  An investigation of nuclear reactor kinetics and dynamics with an emphasis on the important reactor multi-physics phenomena and its impact on reactor safety performance. Will examine the outcomes of research projects and international scientific activities in the area of reactor dynamics. The emphasis of the course is to build the foundation necessary to understand the physics and reactor licensing implications of scenarios where reactor kinetics and dynamics are important for reactor and fuel safety. This includes Control Rod Ejection/Drop or Main Steam Line Break in Light Water Reactors, and Unprotected Transient Overpower or Loss of Forced Cooling in advanced reactors. Specific example multi-physics reactor dynamics problems will be discussed to varying degrees of detail, including SL-1, the EBR-II Shutdown Heat Removal Tests, the HTR-10 and HTTR Pressurized Loss-of-Forced Cooling tests, the Southwest Experimental Fast Reactor Tests, and the Oskarshamn-2 Anticipated Transient Without SCRAM stability events.Registration Restriction(s): Minimum student level – graduate.
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• NE 575: Equipment/Systems Prognostics

  3.00 Credits

  The University of Tennessee - Knoxville

  
  The three types of prognostic techniques will be introduced with theoretical foundations, assumptions, and data requirements: Conventional reliability-based using failure times (e.g. Weibull analysis), Population based with environmental considerations (e.g. proportional hazards modeling), Individual based (e.g. general path model).(RE) Prerequisite(s): 579 or consent of instructor.
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• NE 579: Empir Models/Monitor Diagnost

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Development and application of advanced statistical and artificial intelligence based techniques for process and equipment monitoring and diagnostics. Linear, non-linear, parametric, and non-parametric techniques including ridge regression, principal component analysis, kernel regression. Data preprocessing, model opitmization, and uncertainty analysis will be taught.
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• NE 582: Transport Theory: Monte Carlo

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Modeling and simulation of neutral particle transport in nuclear systems. Transport theory through the Boltzmann transport equation. Source driven and criticality calculations. Energy discretization and multi-group transport equations. Relevant nuclear data. The adjoint transport equation. Probability distribution functions. Monte Carlo solutions of the transport equation. Error estimates. Non-analog Monte Carlo and variance reduction methods. Modern Monte Carlo transport codes.Recommended Background: Prior programming experience (in any programming language) is required.Registration Permission: Consent of instructor.
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• NE 583: Transport Thry:Deterministic

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Modeling and simulation of neutral particle transport in nuclear systems. Transport theory through the Boltzmann transport equation. Source driven and criticality calculations. Energy discretization and multi-group transport equations. Relevant nuclear data. The adjoint transport equation. Time-dependent problems and the neutron kinetics equations. Deterministic solution methods of the transport equation: discrete ordinates and integral transport methods. Modern deterministic transport codes.Recommended Background: Prior programming experience (in any programming language) is required.Comment(s): Prior knowledge may satisfy prerequisites, with consent of instructor.Registration Permission: Consent of instructor.
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• NE 584: Intro to Fire Protection Engr

  3.00 Credits

  The University of Tennessee - Knoxville

  
  The application of fire protection engineering principles to the safe design, wiring, and construction of buildings and infrastructure. Topics include safety and performance-based design, fire dynamics, fire hazard and risk analysis, national electrical codes, public fire service operations, detection and alarm systems, and transportation fire safety.Cross listed: (See Electrical and Computer Engineering (ECE) 563)Registration Permission: Consent of Instructor.
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• NE 585: Process System Reliab/Safety

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Qualitative and quantitative techniques for assessing and improving process systems reliability and safety. Fault tree analysis and associated dependent failure analysis. Cross-listed: (Same as Chemical and Biomolecular Engineering 585.)Registration Permission: Consent of instructor.
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• NE 586: Nuclear Licensing

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Covers the nuclear licensing rules and regulations for both commercial and government nuclear facilities that are administered by the Nuclear Regulatory Commission and the Department of Energy. This is the graduate version of NE 486 and will include additional requirements and assignments for graduate students.Credit Restriction: Students cannot receive credit for both NE 486 and NE 586.Registration Restriction(s): Minimum student level – graduate.
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