NE 501 - (3) (IR)
Nuclear Energy Fundamentals
Prerequisite: Permission of instructor
A lecture course for non-engineering students; surveys of topics
related to nuclear energy, radioactivity, nuclear reactions, nuclear
power plants, safety and environmental considerations, biological
effects of radiation, nuclear fuel cycle and waste disposal, advanced
reactor systems, fusion, and nuclear weapons.
NE 502 - (2) (SS)
Nuclear Energy and Radiation
Prerequisite: Permission of instructor
A laboratory/lecture course for science teachers; laboratories
on radioactivity, radiation detection, and reactor dynamics; radioactivity,
nuclear reactions, nuclear power plants, safety and environmental
considerations, biological effects of radiation, nuclear waste
disposal, advanced reactor systems, fusion.
NE 503 - (3) (Y)
Nuclear Power Plant Operations
Prerequisite: NE 301 or permission of instructor
Combination of lectures with operation of the UVAR reactor and
a power plant simulator; reactor instrumentation; startup, shutdown
and steady-power operations; control rod calibrations; auxiliary
systems; control room layouts, response to transients, sessions
at a nuclear power plant simulator.
NE 601 - (3) (Y)
Nuclear Interactions Theory
Prerequisites: Differential Equations, NE 531 or equivalent
Nuclear and atomic physics for engineers; scattering theory; charged
particle, neutron, gamma-ray interactions with matter, radioactive
decay.
NE 602 - (3) (Y)
Radiation Health Physics
Prerequisite: Permission of instructor
Principles of radiation physics; interaction of radiation with
biological systems; protection limits; calculation and measurement
of dose and exposure; internal dosimetry; radiation shielding.
NE 603 - (3) (Y)
Radiation Detection Laboratory
Prerequisite: Permission of instructor
A laboratory and lecture course covering the fundamentals of radiation
detection; alpha, beta, and gamma ray spectrometers; neutron measurements;
advanced topics.
NE 605 - (3) (S)
Nuclear Reactor Safety
Prerequisites: NE 507 and NE 614, or permission of instructor
Methods of analysis and evaluation applied to reactor design for
accident prevention and the mitigation of the resulting effects;
protective systems and their reliability; containment design;
emergency cooling requirements, reactivity excursions; atmospheric
diffusion of radioactive material; safety problems associated
with current light-water power reactors and proposed fast reactor
systems.
NE 607 - (3) (Y)
Nuclear Reactor Theory I
Prerequisite: Permission of instructor
Neutron diffusion and slowing down theory; one-speed and multigroup,
multiregion diffusion theory calculations; criticality calculations;
elementary reactor kinetics; poisoning and depletion.
NE 614 - (3) (Y)
Reactor Engineering
Prerequisite: Permission of instructor
Power cycles of nuclear reactor systems; thermodynamics, fluid
flow, heat transfer in nuclear reactor systems design.
NE 618 - (3) (E)
Reliability and Risk Analysis
Prerequisite: APMA 310 or APMA 543 or permission of instructor
Probability and statistics applied to analyzing reliability and/or
availability of engineering components and systems; probability
distributions for failures and failure times of engineering components;
fault tree analysis of designed systems for probability of failure
and associated risk predictions. Cross-listed as APMA 618.
NE 623 - (3) (Y)
Nuclear Fuel Cycle and Waste Disposal
Prerequisite: Permission of instructor
Survey course describing the various stages in the nuclear fuel
cycle; nuclear reactions; fuel management; isotope separation;
properties of irradiated fuel; fuel reprocessing; radioactive
waste management; high- level waste disposal.
NE 624 - (3) (O)
Nuclear Reactor Materials
Prerequisite: Permission of instructor
Principles of metallurgy and materials science applied to the
selection of fuel, cladding and structural materials for a nuclear
reactor; radiation effects on fuel elements; materials problems
in light-water reactors, the LMFBR, and the HTGR.
NE 693 - (Credit as arranged) (S)
Independent Study
Detailed study of graduate course material on an independent
basis under the guidance of a faculty member.
NE 695 - (Credit as arranged) (S)
Supervised Project Research
Formal record of commitment to project research under
the guidance of a faculty advisor. Registration may be repeated
as necessary.
NE 702 - (3) (SI)
Reactor Dynamics and Controls
Prerequisites: NE 507, 608, or permission of instructor
Dynamic behavior of reactors and nuclear power plants; time domain
and frequency-domain analysis, including state variables and transform
techniques; multigroup reactor kinetics equations and derivation
of the point kinetics model; solutions with and without feedback;
introduction to spatial kinetics.
NE 703 - (3) (E)
Thermonuclear Fusion
Prerequisite: Permission or instructor
Physics and engineering problems associated with the design and
operation of future thermonuclear power plants. Topic areas include
the physics of charged-particle interactions; electromagnetic
energy; plasma fueling, heating, transport and confinement; plasma
effects and instabilities; physical constraints on thermonuclear
reactions; D-T and advanced fusion fuel-cycles; electrical power
extraction; and, magnetic and inertial confinement commercial
power plant designs.
NE 704 - (3) (E)
Radiation Shielding
Prerequisite: NE 531 or permission of instructor
Neutron and gamma-ray transport and attenuation; major emphasis
on reactor shielding calculations; the theory and application
of radiation transport computational techniques, including Monte
Carlo.
NE 706 - (3) (O)
Radiation Dosimetry
Prerequisite: NE 531 or permission of instructor
Physical and mathematical theory of dosimetry of gamma rays, neutrons
and charged particles, instrumentation for dosimetry measurements.
NE 708 - (3) (Y)
Nuclear Reactor Theory II
Prerequisite: NE 507 or permission of instructor
Neutron slowing down theory, resonance capture, Doppler effects,
elementary thermalization theory, calculation of few-group cross
sections, heterogeneous effects, control rods.
NE 709- (3) (E)
Reactor Design Computations
FORTRAN techniques, overlays, disc storage; use of nuclear design
codes EXTERMINATOR, GAMTEC, THERMOS, ANISN, MORSE, ANDY; applications
to engineering design.
NE 710 - (3) (E)
Two-Phase Flow and Phase Transition
Prerequisite: NE 614 or CHE 625 or AM 631
Two-phase flow methodology, including homogeneous-flow, separated-flow,
and drift-flux models. Application to flow regimes and critical
flow. Topics in phase transition, including nucleation, boiling,
critical heat flux, and condensation. Two-phase flow stability
and transition to chaotic dynamics.
NE 716 - (3) (SI)
Neutron Transport Theory
Prerequisite: NE 708 or permission of instructor
Derivation of neutron transport equation including integral form;
the theory of multigroup calculations; application of theory in
reactor design codes including numerical methods.
NE 717 - (3) (SI)
Advanced Nuclear Engineering Topics I
Prerequisite: NE 708 or permission of instructor
Recent advances in reactor theory; developments in nuclear technology;
special topics.
NE 718 - (3) (SI)
Advanced Nuclear Engineering Topics II
Prerequisite: NE 708 or permission of instructor
Additional special topics in nuclear technology, depending on
instructor and student interest.
NE 791 - (0-1) (S)
Research Seminar, Mechanical, Aerospace and Nuclear Engineering:
Master'sStudents
Required one-hour weekly seminar for master's students in
Mechanical, Aerospace and Nuclear Engineering. Students enrolled
in NE 898 or NE 895 make formal presentations of their work.
NE 793 - (Credit as arranged) (S)
Independent Study
Detailed study of graduate course material on an independent
basis under the guidance of a faculty member.
NE 895 - (Credit as arranged) (S)
Supervised Project Research
Formal record of student commitment to project research
under the guidance of a faculty advisor. Registration may be repeated
as necessary.
NE 897 - (Credit as arranged) (S)
Graduate Teaching Instruction
For Master's students.
NE 898 - (Credit as arranged) (S)
Master's Research
Formal record of student commitment to Master's research
under the guidance of a faculty advisor. Registration may be repeated
as necessary.
NE 991 - (0-1) (S)
Research Seminar, Mechanical, Aerospace and Nuclear Engineering:
DoctoralStudents
Required one-hour weekly seminar for doctoral students in
Mechanical, Aerospace and Nuclear Engineering. Students enrolled
in NE 999 may make formal presentations of their work.
NE 997 - (Credit as arranged) (S)
Graduate Teaching Instruction
For Doctoral students.
NE 999 - (Credit as arranged) (S)
Ph.D. Dissertation Research
Formal record of student commitment to Ph.D. research
under the guidance of a faculty advisor. Registration may be repeated
as necessary.
SYS 601 - (3) (Y)
Introduction to Systems Engineering
Prerequisite: Admission to the graduate program
An integrated introduction to systems methodology, design, and
management. An overview of systems engineering as a professional
and intellectual discipline, and its relation to other disciplines
such as operations research, management science, and economics.
An introduction to selected techniques in systems and decision
sciences, including mathematical modeling, decision analysis,
risk analysis, and simulation modeling. Overview of contemporary
topics relevant to systems engineering, such as reengineering
and total quality management. Elements of systems management,
including decision styles, human information processing, organizational
decision processes, and information system design for planning
and decision support. Emphasis is on relating theory to practice
via written analyses and oral presentations of individual and
group case studies.
SYS 603 - (3) (Y)
Mathematical Programming
Prerequisite: SYS 321 or equivalent
Conceptual and theoretical foundations of mathematical programming
techniques. A brief review of linear programming and the simplex
method is followed by developments in duality theory and post-optimality
analysis. Special methods to solve large-scale problems are presented.
Nonlinear programming methods are introduced. Combinatorial analysis
is introduced with particular focus on solving integer programming
problems.
SYS 605 - (3) (Y)
Stochastic Systems
Prerequisites: APMA 310, APMA 312, or equivalent
An in-depth introduction to stochastic systems theory and applications
in systems engineering. Markov chains, Poisson processes, birth
and death processes, renewal processes, martingales, Brownian
motion, stationary processes and ergodic theory. Survey of stochastic
models and applications, including queuing models, inventory models,
storage models, and time series models.
SYS 612 - (3) (IR)
Dynamic Systems
Prerequisite: APMA 206 or equivalent
An introduction to the modeling, analysis, and control of dynamic
systems, using ordinary differential and difference equations.
Emphasis is given to the properties of mathematical representations
of systems, to the methods used to analyze mathematical models,
and to the translation of concrete situations into appropriate
mathematical forms. Primary coverage includes ordinary linear
differential and difference equation models, transform methods
and concepts from classical control theory, and state-variable
methods and concepts from modern control theory. Applications
are drawn from social, economic, managerial, and physical systems.
SYS 614 - (3) (Y)
Decision Analysis
Prerequisite: SYS 605 or equivalent
Principles and procedures of decision making under uncertainty
and with multiple objectives. Subjective probability, Bayesian
inference, preference orders, utility functions, measurement methods,
principles of rationality, optimal decision procedures, value
of information. Structuring and modeling decision problems: decision
trees, influence diagrams, mathematical representations. Bayesian
decision analysis, multiobjective decision analysis, sequential
decision analysis, and group decision making.
SYS 616 - (3) (Y)
Knowledge-Based Systems
Prerequisite: APMA 310 or equivalent
Introduces the fundamental concepts for research, design, development
and implementation of knowledge-based systems. Emphasis is on
the foundations of artificial intelligence, problem solving,
search, and decision making with a view toward real world applications. Students
are required to develop a working knowledge-based system in a
realistic application domain. Cross-listed as CS 616.
SYS 634 - (3) (Y)
Discrete-Event Stochastic Simulation
Prerequisites: SYS 605 or equivalent
A first graduate course on the theory and practice of discrete-event
simulation. Coverage includes the dynamics of discrete-event stochastic
systems, simulation logic and computational issues, random number
generation, specification of input probability distributions,
output analysis, and model verification and validation. Emphasizes
modern simulation programming languages including animation on
microcomputers. Applications in manufacturing, transportation,
communications, computer, and service systems.
SYS 650 - (3) (IR)
Risk Analysis
Prerequisites: APMA 310, SYS 321, or equivalent
A study of problems and complexities involved in risk assessment
and management. Part I: Conceptualization-the nature of risk,
the perception of risk, the epistemology of risk, and the process
of risk assessment. Part II: Mathematical basis for risk assessment
and management-basic concepts in probability and statistics, decision
analysis, and multiobjective decision making. Part III: Methodologies
and techniques for risk analysis, focusing on the statistics of
extremes.
SYS 670 - (3) (IR)
Environmental Systems Analysis
Prerequisites: SYS 321, SYS 360, SYS 402, or equivalent
The application of systems engineering techniques to environmental
planning and policy issues. Decision problems in water resources,
air pollution, solid waste, and energy are examined. Problems
of coping with natural and man-made hazards are highlighted. Among
techniques emphasized are cost-benefit analysis, risk assessment
and analysis, multiobjective decision analysis, conflict analysis,
mathematical programming, simulation, and heuristic methods.
SYS 674 - (3) (Y)
Total Quality Engineering
Prerequisite: Basic statistics or permission of instructor
Comprehensive study of quality engineering techniques. Characterization
of Total Quality Management philosophy and continuous improvement
tools. Statistical monitoring of processes using control charts.
Process improvement using experimental design.
SYS 681, 682 - (3) (IR)
Selected Topics in Systems Engineering
Prerequisites: As specified for each offering
Detailed study of a selected topic. The topic determined by the
current interest of faculty and students. Offered as required.
SYS 693 - (Credit as arranged) (S)
Independent Study
Detailed study of graduate course material on an independent
basis under the guidance of a faculty member.
SYS 695 - (Credit as arranged) (S)
Supervised Project Research
Formal record of student commitment to project research
under the guidance of a faculty advisor. Registration may be repeated
as necessary.
SYS 702 - (3) (SS)
Case Studies in Systems Engineering
Prerequisites: SYS 601, SYS 603, and SYS 605
Under faculty guidance, students apply the principles of systems
methodology, design, and management along with the techniques
of systems and decision sciences to systems analysis and design
cases. Primary goal is the integration of numerous concepts from
systems engineering using real-world cases. Focus is on presenting,
defending, and discussing systems engineering projects in a typical
professional context. Cases span a broad range of applicable technologies
and involve the formulation of the issues, modeling of decision
problems, analysis of the impact of proposed alternatives, and
interpretation of these impacts in terms of the client value system.
Cases are extracted from actual government, industry, and business
problems, and they must be completed by the students in a time-constrained
environment and with available resources.
SYS 716 - (3) (Y)
Artificial Intelligence
Prerequisite: SYS 616 or CS 616
In-depth study of a few major areas historically considered to
be part of artificial intelligence. In particular, detailed coverage
is given to the design considerations involved in the following
applications: automatic theorem proving, natural language understanding
and machine learning.
SYS 721 - (3) (IR)
Research Methods in Systems Engineering
Corequisites: SYS 601, SYS 603, SYS 605, or equivalent
Philosophy, theory, methodology, and applications of systems engineering
provide themes for this seminar-type course in the art of reading,
studying, reviewing, critiquing, and presenting scientific and
engineering research results. Applications are drawn from water
resources, environmental, industrial and other engineering areas.
Topics discussed and papers reviewed are selected at the first
meeting. Throughout the semester, students make a one-hour presentation
of their chosen paper. This is followed by a one and one-half
hour discussion, critique, evaluation, and conclusions regarding
the topic and its exposition. Students are expected to read every
paper before it is presented. Class size is limited.
SYS 730 - (3) (IR)
Time Series Analysis and Forecasting
Prerequisites: SYS 605, or equivalent
An in-depth study of the synthesis of time series, data into forecasting
models. The statistical basis of forecasting models The process
of stochastic model building including model identification, estimation,
and model diagnostic checking. A survey of forecasting models
and applications including empirical models (smoothing methods
and decomposition methods), regression models (simple and multiple
regression, and econometric models), and ARIMA models (including
seasonal models).
SYS 734 - (3) (IR)
Advanced System Simulation
Prerequisites: SYS 605 and SYS 634, or equivalent
Seminar on contemporary topics in discrete-event stochastic simulation.
Topics determined by student and faculty interests. Topics may
include model and simulation theory, validation, experiment design,
output analysis, variance-reduction techniques, simulation optimization,
perturbation analysis, parallel and distributed simulation, intelligent
simulation systems, animation and output visualization.
SYS 742 - (3) (IR)
Heuristic Search
Prerequisites: SYS 605, or permission of instructor
Characterization and analysis of problem solving strategies that
are guided by heuristic information. Course links material from
optimization, intelligence systems, and complexity analysis. Formal
development of the methods and complete discussion of applications,
theoretical properties, and evaluation. Methods discussed include
best-first strategies for OR and AND/OR graphs, simulated annealing,
genetic algorithms and evolutionary programming, tabu search,
and tailored heuristics. Applications of these methods to engineering
design, scheduling, signal interpretation, and machine intelligence.
SYS 750 - (3) (IR)
Advanced Methods in Optimization
Prerequisites: SYS 603 or equivalent
Decomposition, optimization, and control of hierarchical multi-level
systems. Topics covered include application of optimization theory
to large-scale systems, Dantzig-Wolfe decomposition and Benders
algorithm, planning and coordination with prices and quantities,
input-output analysis and material balancing, distribution of
information in hierarchies, incentive compatible control, non-convex
programming. Emphasis is placed on real-world planning problems.
SYS 752 - (3) (IR)
Sequential Decision Processes
Prerequisites: SYS 605, SYS 614, or equivalent
Stochastic sequential decision models and their applications.
Sequential stochastic control theory. Dynamic programming. Finite
horizon, infinite horizon discounted total cost, infinite horizon
undiscounted total cost, and average expected cost Markov decision
processes. Problems with imperfect state information. Computational
aspects and suboptimal control. Vector criterion Markov decision
processes. Examples: inventory control, maintenance, portfolio
selection, water resource management, sequential decision aiding,
linear-quadratic-Gaussian problems, signal detection (military
and health care applications).
SYS 754 - (3) (IR)
Multiobjective Optimization
Prerequisites: SYS 603, SYS 614, or equivalent
Theories and methodologies for optimization making with multiple
objectives under certainty and uncertainty. Structuring of objectives,
selection of criteria, modeling and assessment of preferences
(strength of preference, risk attitude, and tradeoff judgments).
Vector optimization theory and methods for generating nondominated
solutions. Methods with prior assessment of preferences, methods
with progressive assessment of preferences (iterative - interactive
methods), methods allowing imprecision in preference assessments.
Group decision making. Building and validation of decision-aiding
systems.
SYS 763 - (3) (IR)
Response Surface Methods for Product and Process Design
Prerequisites: SYS 601, 605, and 674 or permission of
instructor
Response surface and other methods provide engineering design
and process improvement through the collection and analysis of
data from controlled experimentation. Response surface methods
use experimental data to construct and explore the relationship
between design variables and measures of product or process performance.
This course investigates the construction of response models for
systems with discrete and continuous valued responses. Both practical
and theoretical aspects of modeling are explored.
SYS 770 - (3) (IR)
Sequencing and Scheduling
Prerequisites: SYS 603, SYS 605, or equivalent
A comprehensive treatment of scheduling theory and practice. The
formal machine-scheduling problem: assumptions, performance measures,
job and flow shops, constructive algorithms for special cases,
disjunctive and integer programming formulations, branch-and-bound
and dynamic programming approaches, computational complexity and
heuristics. Alternative scheduling paradigms. Scheduling philosophies
and software tools in modern manufacturing applications.
SYS 775 - (3) (IR)
Forecast-Decision Systems
Prerequisites: SYS 605, SYS 614, or equivalent
Bayesian theory of forecasting and decision making. Judgmental
and statistical forecasting, sufficient comparisons of forecasters,
verification of forecasts, combining forecasts. Optimal and suboptimal
decision procedures using forecasts: static models, sequential
decision models, stopping-control models. Economic value of forecasts,
communications of forecasts, design and evaluation of a total
forecast-decision system.
SYS 781, 782 - (3) (IR)
Advanced Topics in Systems Engineering
Prerequisites: As specified for each offering
Detailed study of an advanced or exploratory topic. The topic
determined by the current interest of faculty and students. Offered
as required.
SYS 793 - (Credit as arranged) (S)
Independent Study
Detailed study of graduate course material on an independent
basis under the guidance of a faculty member.
SYS 796 - (1) (S)
Systems Engineering Seminar
Regular meeting of graduate students and faculty for presentation
and discussion of contemporary systems problems and research.
Offered for credit each semester. Registration may be repeated
as necessary.
SYS 895 - (Credit as arranged) (S)
Supervised Project Research
Formal record of student commitment to project research
for Master of Engineering degree under the guidance of a faculty
advisor. Registration may be repeated as necessary.
SYS 897 - (Credit as arranged) (S)
Graduate Teaching Instruction
For Master's students.
SYS 898 - (Credit as arranged) (S)
Thesis
Formal record of student commitment to master's research
under the guidance of a faculty advisor. Registration may be repeated
as necessary.
SYS 997 - (Credit as arranged) (S)
Graduate Teaching Instruction
For Doctoral students.
SYS 999 - (Credit as arranged) (S)
Dissertation
Formal record of student commitment to doctoral research
under the guidance of a faculty advisor. Registration may be repeated
as nec