Individual variable-credit research of contemporary topics in mechanical engineering. Prerequisite: Permission of Graduate Advisor.

Conferences and discussions of various topics in mechanical engineering by faculty, graduate students, and speakers from industry and other institutions. Required of all graduate students during each semester of full-time enrollment.

An introduction to the theory of elasticity and the principles of stress and strain. Solution of some elasticity problems such as bending and shear of beams, torsion of bars. Energy method and stability. Prerequisite: CE 2334.

Conduction in various coordinate systems; steady and transient-state cases with various boundary conditions; analytical, numerical, and graphical solutions. Prerequisite: MATH 2326 or MATH 3326 or instructor approval.

Thermal boundary-layer theory; forced convection in laminar and turbulent flows; free convection. Prerequisite: MECH 3454 or instructor approval.

Survey of the principal concepts of fluid mechanics, statics, continuity, momentum and energy relations for continuum fluids, kinematics of fluid motion, governing equations for motion of non-viscous fluid, vorticity and circulation, and Kelvin's theorem. Helmholtz theorem, Crocco's theorem, steam function, potential flow, conformal transformation, theory or lift, and wave phenomena in fluids. Prerequisite: MECH 3454 or instructor approval.

Viscous and turbulent flows. Viscosity and dissipation phenomena. The Navier-Stokes and energy equations; creep flow at low Reynolds numbers, laminar boundary layers, laminar stability, transition and turbulence, turbulent boundary layers, jets, wakes, and separated flows. Prerequisite: MECH 3454 or instructor approval.

Study of the method of optimum design for mechanical systems. Evolution of optimum design; approximation for explicit design; mathematical functions in design, evaluation of the effects of manufacturing errors on product performance, optimum choice for method of analysis, statistical consideration for factor of safety; adequate design, optimum design, design equations, normal redundant and incompatible specifications; loose limits and loose specifications; problems with more than one primary design equation.

Continuation of MECH 3365 with emphasis on multiple degree-of-freedom systems and their response to disturbances. Normal mode theory, and matrix representation of problem; Laplace transform, electrical analogue and mobility techniques of solution. Vibration measurements and analysis.

Applications of general thermodynamic relations; study and applications of time-dependent energy relationships; analysis of power, refrigeration, cryogenic and direct energy conversion systems. Prerequisite: MECH 3376 or instructor approval.

Traditional approach to mechanics of materials with topics such as failure theories, fatigue, beams on an elastic foundation, stress concentrations, thick-walled and laminated cylinders, contact stresses, and inelastic behavior. Prerequisite: MECH 5302.

Velocity and acceleration analysis, motion of a point in space, rotating coordinate systems, balancing of masses; generalized coordinates, work and energy, and impulse and momentum. Prerequisite: MECH 2338 or equivalent.

Advanced topics of contemporary interest in mechanical engineering. May be repeated for credit when topic varies. Prerequisite: Instructor approval.

Individual variable-credit for non-thesis related research, design, or analysis on advanced phases of Mechanical Engineering problems conducted under the direct supervision of a faculty member. A maximum of 3 credit hours may be applied towards the MS degree. Prerequisite: Permission of Graduate Advisor.

Individual research, design, or analysis on advanced phases of engineering problems conducted under the direct supervision of a faculty member. Prerequisite: Instructor approval.

Individual research, design, or analysis on advanced phases of engineering problems conducted under the direct supervision of a faculty member. Prerequisites: MECH 5396 and instructor approval.

Lectures and discussions of various topics in industrial engineering by faculty, graduate students, and speakers from industry and other institutions. Required for all non-thesis graduate students each semester they are in the graduate program. This seminar will be counted only once toward graduate degree requirements.

This course is designed to prepare the non-thesis student for the written and oral components of the final comprehensive examination. Key technical concepts, methodologies, and issues in the core subject areas will be reviewed and integrated. This course is to be taken in the student's final semester in the non-thesis MS program. If a student fails the exam (and thus the course), the student can re-enroll for IE 5291 the following semester, up to a total of three attempts. Prerequisite: Department approval.

Individual variable-credit research of contemporary topics in industrial engineering. Prerequisite: Permission of Graduate Advisor.

Survey of applied areas of artificial intelligence including machine vision and robotics. Expert systems technology as it applies to industrial problems. Discussion of commercial expert systems. Construction of expert system using expert system building tools. Prerequisite: Instructor approval.

This course will focus on the theoretical and practical issues concerning the design of work. It will provide a thorough coverage of the principles of industrial safety, plant layout and design, and methods engineering from a productivity and quality man-machine system perspective. The course will consist of lectures, class discussions, and student projects.

Industrial statistics techniques such as generating functions, multivariate transformations, modes of convergence, limit theorems, parametrical statistical models, sufficiency, estimation, confidence intervals, hypothesis testing, optimal tests, and large sample theory. A strong emphasis is placed on the application of statistical techniques to industrial problems. Prerequisite: IE 3330.

Survey of industrial Safety Engineering topics to include hazard control principles, tools and machines, materials handling, noise and vibration, chemicals, ventilation, hazardous waste, personal protective equipment risk assessment, facility development process and safety, risk management and assessment, system safety, and accident investigation and analysis. This course will consist of lectures and class discussions. A semester project is an integral part of this course. Prerequisite: IE 4332 or instructor approval.

This course emphasizes inventory control management for production planning and includes topics in inventory control, forecasting, lot sizing, dispatching, scheduling, releasing, kitting, MRP and just-in-time models. Strong emphasis on the solution and research of existing production and inventory control problems. Prerequisite: Instructor approval.

Deterministic operations research techniques such as linear programming and its extensions, duality theory, sensitivity analysis, network related models, integer programming, and dynamic programming. Applications include production planning and project networks such as PERT/CPM. Prerequisite: IE 3389 or instructor approval.

Investigation of statistical sampling methods, hypothesis testing procedures, and design of experiments. Both parametric and non-parametric procedures are included. Prerequisite: IE 4385 or instructor approval.

Capital budgeting, deterministic investment analysis, probabilistic engineering economy, manufacturing cost models, utility theory, and computer applications to engineering economy. Prerequisite: IE 3326 or instructor approval.

This course emphasizes the tools, techniques, concepts, and theories of managing an organization in a technological environment. Treated are the relevant issues concerning strategic planning, information management, reengineering of the corporation, and integrating of emerging technologies and concurrent engineering. Prerequisite: Instructor approval.

An introduction to the concepts of simulation methodology as applied to the design and analysis of industrial systems. Specialized computer simulation language is applied to an industrial analysis or design term project. Prerequisite: Department approval.

General Optimization theory and numerical optimization methods for non-linear decision models. Coverage includes applications to automatic process control, engineering design optimization as well as available computer software. Prerequisite: IE 3389 or instructor approval.

An overview of advanced deterministic and probabilistic operations research techniques will be the main emphasis of this course. Topics to be covered include the formulation and solution of linear, dynamic, and integer programming as well as analysis of queuing systems. The course will consist of lectures and class discussions. Prerequisites: IE 3389 and IE 4392.

This course emphasizes the tools, techniques, concepts, and theories of ergonomics and human performance criteria for work in the manufacturing environment. Emphasis is on the design and evaluation of workstations, man-machine systems, and processes. Prerequisite: Instructor approval.

This course covers current advances in quality control. The emphasis of the course is on continuous quality improvement. The course will concentrate on advanced quality control topics including, but not limited to, process, capability analysis, philosophies of quality management, advanced statistical process control, quality costs, and automated quality control. Prerequisite: Instructor approval.

Topics such as quality organization, quality assurance, quality policies and objectives, quality information systems, metrology, inspection and testing, quality planning, quality function deployment, and supplier quality assurance. Quality standards and legal issues with respect to quality such as torts, negligence, and contracts will also be addressed. A semester project is an integral part of this course. Prerequisite: IE 5385.

Advanced topics of contemporary interest in industrial engineering. May be repeated for credit when topic varies. Prerequisite: Instructor approval.

Individual variable-credit for non-thesis related research, design, or analysis on advanced phases of Industrial Engineering problems conducted under the direct supervision of a faculty member. A maximum of three credit hours may be applied towards the MS degree. Prerequisite: Permission of Graduate Advisor.

Individual research, design, or analysis on advanced phases of industrial engineering problems, conducted under the direct supervision of a faculty member. Prerequisite: Instructor approval.

Individual research, design, or analysis on advanced phases of industrial engineering problems, conducted under the direct supervision of a faculty member.

Prerequisites: IE 5396 and instructor approval.

Lectures and discussions of various topics in Manufacturing Engineering by faculty, graduate students, and speakers from industry and other institutions. Required for all non-thesis graduate students each semester they are in the graduate program. This seminar will be counted only once toward graduate degree requirements.

Individual variable-credit for non-thesis related research, design, or analysis on advanced phases of Manufacturing Engineering problems conducted under the direct supervision of a faculty member. A maximum of three credit hours may be applied towards the MS degree. Prerequisite: Permission of Graduate Advisor.

Theoretical and practical aspects of the implications that the manufacturing process has on the design activities will be studied. Issues such as rapid prototyping, tolerancing, geometric modeling, capabilities of manufacturing processes, design for quality and maintainability and others will be covered. The course will consist of lectures, class discussions, and student projects.

Strategic and tactical aspects of the design of manufacturing processes will be covered in this course. Techniques such as concurrent engineering, quality function deployment, group technology, process planning, and others will be covered. The course will consist of lectures, class discussions, and student projects.

This course will focus on the theoretical and practical issues of the integration of independent components of the manufacturing systems. Deterministic and stochastic modeling techniques will be used to analyze the interaction of the different components of a discrete manufacturing system. Special emphasis will be placed on the effects of automation on scheduling strategies and materials flow. The course will consist of lectures, class discussions, and student projects. Prerequisites: IE 3492 and IE 3491.

Modern concepts of robotics and flexible automation including power and control mechanisms, flexible material handling systems, programmable controllers, interfacing and end-of-arm tooling. Prerequisite: Instructor approval.

Study of the most recent developments in research and applications of material handling systems. Special emphasis will be placed on models and techniques that allow a good design of integrated material handling systems in a discrete production environment. The course will consist of lectures, class discussions, and student projects.

Design of tooling for various manufacturing processes such as plastic injection, metal casting, stamping, forming, etc. Materials properties, tolerances, cost, and tool interchangeability are covered.

This course is designed to be a capstone course for the graduate students of manufacturing engineering. The student will be expected to use the appropriate analytical tools to formulate, model, and solve real-life manufacturing problems. At the end of the course the student will give an open presentation of the results of the term project.

This course will focus on the selection of materials for manufacturing processes. In particular it will cover the properties of different materials as they apply to manufacturing such as: formability, machinability, hardening, weldability. It will also cover different types of materials such as: metal alloys, plastics, composites, ceramics, and adhesives. The course will consist of lectures, class discussions, and student projects. Prerequisites: CE 2334 and MME 2303.

Introduction to modern concepts in manufacturing systems with special emphasis on discrete production systems. Production control systems such as MRP, KANBAN, and Just-In- Time are covered. The advantages of group technology and FMS will be studied.

This course deals with the application of reliability theory in engineering design. In particular, the course covers reliability functions and gives broad guidelines for designing reliability into a given situation and for determining the appropriate level of reliability. Accelerated testing, reliability management, the relationship between reliability and quality and maintainability and its management will also be covered.

Modern concepts of using computers for manufacturing, including the theory of computer numerical control (CNC) and direct numerical control (DNC), CNC milling, CNC tuning and computer-aided process design. Prerequisite: Instructor approval.

Fundamental concepts associated with the construction of meaningful descriptions of physical objects from images; including image segmentation, two-dimensional and three-dimensional representations, knowledge representations, and matching and inference.

Modern concepts of using computer graphics for engineering design and manufacturing, including computer graphics standards such as CORE graphics and GKS, graphic input/output devices, and software design and programming techniques for computer-aided design and manufacturing (CAD/CAM). Prerequisite: IE 5359.

Advanced topics of contemporary interest in mechanical engineering. May be repeated for credit when topic varies. Prerequisite: Instructor approval.

Individual variable-credit research of contemporary topics in Manufacturing Engineering. Prerequisite: Permission of Graduate Advisor.

Individual research, design, or analysis on advanced phases of engineering problems conducted under the direct supervision of a faculty member. Prerequisite: Instructor approval.

Individual research, design, or analysis on advanced phases of engineering problems conducted under the direct supervision of a faculty member. Prerequisites: MFG 5396 and instructor approval.

Continuous enrollment required while work on the thesis continues.

Prerequisite: MFG 5398.