Graduate Level Courses in Engineering offered at Temple University College of Engineering (Ph.D. Students in the doctoral program in Textile Engineering & Science are required to take at least 3 courses with the approval of their doctoral thesis committee)

ME405. Deformation and Fracture of Engineering Materials (3 s.h.)
Elastic behavior of materials, crystal structures, plastic deformation, composite materials, non-crystalline materials,
fracture toughness, High temperature fracture, fatigue.

ME 525. Materials Processing and Manufacturing. (3 s.h.)
Introduction to materials and processes. Processing of metals, polymers, ceramics, and composites. Modeling and simulation of processes. Sensing and data acquisition. Intelligent processing. Advanced materials and processes. Concurrent engineering.

ME 575. Engineering Reliability. (3 s.h.)
This course introduces the tools needed for engineers to increase the performance of equipment while minimizing risk in their design, rather than simply designing the system with traditional factors of safety. Practical methods of estimating reliability and the limitations of these methods are covered. The available statistical techniques used in reliability analysis are introduced. Other topics include: reliability testing, reliability of systems, and electronic system reliability.

ME 620 Advanced Control of Manufacturing Processes (3 s.h.)
Review of control system principles, modeling and simulation, sensors and actuators, control of manufacturing processes, discrete time control, PLCs, fuzzy logic control, neural network applications in control systems.

ME 630. Finite Element Methods. (3 s.h.)
Concepts and techniques of finite element and finite difference methods; mesh generation techniques; computer graphics presentation methods. Application to solids, liquids, and gases in the areas of stress, strain, deflection elasticity, heat transfer, fluid flow, and combustion.

ME 660. Thermodynamic Properties of Materials. (3 s.h.)
Review of quantum mechanics and introduction to statistical mechanics. Statistical thermodynamics and various models of matter. Accuracy and trends of the predicted properties of various materials.

ME 760. Advanced Heat and Mass Transfer. (3 s.h.)
Survey of heat and mass transfer phenomena. Other topics include: advanced analytical methods in conduction, convection, radiation, and combined systems. Similarity and boundary layer concepts; numerical methods; heat transfer in manufacturing processes.

ENGR 501. Engineering Mathematics I. (3 s.h.)
Provides the mathematical tools needed by students to carry out master’s level graduate study in engineering. Topics include: real-variable theory (limits, series, functions of several variables, vector field theory), complex variable theory, linear analysis (systems of linear equations, eigenvalue problems, Sturm-Louisville theory) and recipes for the numerical solution of any first or second order linear differential equation. The mathematical symbolic-algebraic software system is introduced.

ENGR 505. Mechanical Behavior of Materials (Failure of Materials)
(3 s.h.)
Elastic and plastic deformation of materials; introduction to dislocation theory; failure analysis. Topics include loading in real-life situations, variable loading, failure theories, buckling and instability, fatigue analysis, and fracture mechanics. Case histories are introduced from a variety of industries including automotive, aerospace, utilities, oil and gas, petrochemical and biomedical. Helpful techniques are introduced such as operating stress maps.

ENGR 506. Mechanics of Solids. (3 s.h.)
The topics covered include: strain-energy methods; special problems in bending and torsion; curved bars; beams on elastic foundations; thick-walled cylinders; shrink fit assemblies and rotating discs; thin-walled pressure vessels; bending of thin plates; limit analysis; buckling of bars and plates.

ENGR 512. Applications of Statistics and Stochastic Methods in Science and Engineering. (3 s.h.)
Random variables and probability distributions. Simulations of random systems, analytical models and Monte Carlo simulations. Systems with jointly distributed random variables. Estimation theory in engineering. Fitting probability models to data. Regression analysis. Reliability of engineering systems. Design of engineering experiments. Experiments and tests for two or more random variables. ANOVA. Introduction to stochastic processes, random walk, Brownian motion, white noise, and colored noise processes.Stochastic differential equations, stochastic calculus, differential equations with random initial conditions, random forcing functions, random boundary conditions, random partial differential equations.

ENGR520. Introduction to Bioengineering (3 s.h.)
Introduction to current topics in bioengineering as presented by experts and researchers in the field.

ENGR 522. Engineering Analysis and Applications. (3 s.h.)
Vector space, basis, projection, null space, function space, L2 and space of continuous functions, Hilbert space, orthogonality, generalized Fourier series, linear transformation, adjoint transformation, eigenvalue problem, linear functional, Gateaux and Frechet differential, constrained optimization, infinite dimensional systems, complex analysis.

ENGR 541. Probability, Random Variables, and Stochastic Processes.
(3 s.h.)
Sets and events, Random variables, Distribution and density functions, Functions of multiple random variables, Moments and conditional statistics, Information entropy, stochastic processes, wide-sense stationary process, ergodicity, correlation, and power spectrum of stationary processes. Applications to sampling theory and signal modulation and detection.

ENGR 560. Advanced Dynamics. (3 s.h.)
Motion of rigid bodies in three dimensions; discrete and continuous systems of particles; central force motion and steady mass flow. Other topics include: planetary and rocket motion, Euler’s equations, Euler’s angles, virtual displacements and work, Fourier series, Langrange’s equations, and Hamiltonian theory.

ENGR 595. Engineering Seminar. (1-3 s.h.)
Students in the MS in Bioengineering are required to complete 3 s.h. of engineering seminar. This course can be registered in one semester or can be spread in three semesters.

ENGR 501. Engineering Mathematics I. (3 s.h.)
Provides the mathematical tools needed by students to carry out master’s level graduate study in engineering. Topics include: real-variable theory (limits, series, functions of several variables, vector field theory), complex variable theory, linear analysis (systems of linear equations, eigenvalue problems, Sturm-Louisville theory) and recipes for the numerical solution of any first or second order linear differential equation. The mathematical symbolic-algebraic software system is introduced.

ENGR 505. Mechanical Behavior of Materials (Failure of Materials).
(3 s.h.)
Elastic and plastic deformation of materials; introduction to dislocation theory; failure analysis. Topics include loading in real-life situations, variable loading, failure theories, buckling and instability, fatigue analysis, and fracture mechanics. Case histories are introduced from a variety of industries including automotive, aerospace, utilities, oil and gas, petrochemical and biomedical. Helpful techniques are introduced such as operating stress maps.

ENGR 506. Mechanics of Solids. (3 s.h.)
The topics covered include: strain-energy methods; special problems in bending and torsion; curved bars; beams on elastic foundations; thick-walled cylinders; shrink fit assemblies and rotating discs; thin-walled pressure vessels; bending of thin plates; limit analysis; buckling of bars and plates.

ENGR 512. Applications of Statistics and Stochastic Methods in Science and Engineering. (3 s.h.)
Random variables and probability distributions. Simulations of random systems, analytical models and Monte Carlo simulations. Systems with jointly distributed random variables. Estimation theory in engineering. Fitting probability models to data. Regression analysis. Reliability of engineering systems. Design of engineering experiments. Experiments and tests for two or more random variables. ANOVA. Introduction to stochastic processes, random walk, Brownian motion, white noise, and colored noise processes.Stochastic differential equations, stochastic calculus, differential equations with random initial conditions, random forcing functions, random boundary conditions, random partial differential equations.

ENGR520. Introduction to Bioengineering (3 s.h.)
Introduction to current topics in bioengineering as presented by experts and researchers in the field.

ENGR 522. Engineering Analysis and Applications. (3 s.h.)
Vector space, basis, projection, null space, function space, L2 and space of continuous functions, Hilbert space, orthogonality, generalized Fourier series, linear transformation, adjoint transformation, eigenvalue problem, linear functional, Gateaux and Frechet differential, constrained optimization, infinite dimensional systems, complex analysis.

ENGR 541. Probability, Random Variables, and Stochastic Processes.
(3 s.h.)
Sets and events, Random variables, Distribution and density functions, Functions of multiple random variables, Moments and conditional statistics, Information entropy, stochastic processes, wide-sense stationary process, ergodicity, correlation, and power spectrum of stationary processes. Applications to sampling theory and signal modulation and detection.

ENGR 560. Advanced Dynamics. (3 s.h.)
Motion of rigid bodies in three dimensions; discrete and continuous systems of particles; central force motion and steady mass flow. Other topics include: planetary and rocket motion, Euler’s equations, Euler’s angles, virtual displacements and work, Fourier series, Langrange’s equations, and Hamiltonian theory.

ENGR 595. Engineering Seminar. (1-3 s.h.)
Students in the MS in Bioengineering are required to complete 3 s.h. of engineering seminar. This course can be registered in one semester or can be spread in three semesters.

ENGR 598, 599. Independent Study. (1-3 s.h. each)
Special study in a particular aspect of Engineering under the direct supervision of a graduate faculty member. Research results are presented in the form of a paper.

ENGR 601. Engineering Mathematics II. (3 s.h.)
Prerequisite: ENGR 501.
Provides students with the analytical and numerical tools needed to solve partial differential equations of the type found in engineering practice. Topics include: the UNIX programming environment; the C programming language; separation of variables methods in Cartesian and non-Cartesian coordinate systems; integral transform methods; root finding; integration/differentiation; interpolation of tabulated data; initial-value and boundary-value problems; partial differential equations.

ENGR 611. Experimental Methods. (3 s.h.)
Application and design of experimental techniques and measurement systems used in engineering laboratories. Introduction to the DMM, digital scope, and computer-based data acquisition systems for measurements of force, motion, pressure, temperature, and flow in steady and unsteady systems. Data transmission, data analysis and presentation, and computer interfacing techniques. Statistical methods and uncertainty analysis. Hands-on experience with state-of-the-art instrumentation systems.

ENGR616. Advanced Fluid Mechanics (3 s.h.)
Navier-Stoke's equation, Laminar and turbulent flow, boundary layer phenomena, compressible fluid flow including isotropic flow, shock waves, friction flow, and flow with heat transfer.

ENGR 621. Advanced Manufacturing Concepts. (3 s.h.)
General introduction to manufacturing: characteristics; manufacturing properties of traditional as well as engineering materials; details of manufacturing processes and machinery; surface technology and microelectronic device fabrication; quality assurance, human factors engineering, safety and product liability. Important developments and trends in manufacturing: impact of automation and computers; the competitive aspects and economics of manufacturing.

ENGR 622. Probabilistic Design. (3 s.h.)
The importance of reliability in the design stages of any product and concept development. Mathematical and statistical techniques; computer usage and techniques. Other topics include: risk study methodologies, hazard analysis, failure modes, effect analysis, constructing fault trees and decision tables, qualitative aspects of system analysis, conditional and unconditional probabilities, quantification of basic analysis, confidence limits for reliability parameters, data banks and validation, Markov model for redundancy, redundancy parameters, reliability 1,2 or N-component series systems, parallel systems, Monte Carlo methods and case studies.

ENGR 601. Engineering Mathematics II. (3 s.h.)
Prerequisite: ENGR 501.
Provides students with the analytical and numerical tools needed to solve partial differential equations of the type found in engineering practice. Topics include: the UNIX programming environment; the C programming language; separation of variables methods in Cartesian and non-Cartesian coordinate systems; integral transform methods; root finding; integration/differentiation; interpolation of tabulated data; initial-value and boundary-value problems; partial differential equations.

ENGR 611. Experimental Methods. (3 s.h.)
Application and design of experimental techniques and measurement systems used in engineering laboratories. Introduction to the DMM, digital scope, and computer-based data acquisition systems for measurements of force, motion, pressure, temperature, and flow in steady and unsteady systems. Data transmission, data analysis and presentation, and computer interfacing techniques. Statistical methods and uncertainty analysis. Hands-on experience with state-of-the-art instrumentation systems.

ENGR616. Advanced Fluid Mechanics (3 s.h.)
Navier-Stoke's equation, Laminar and turbulent flow, boundary layer phenomena, compressible fluid flow including isotropic flow, shock waves, friction flow, and flow with heat transfer.

ENGR 621. Advanced Manufacturing Concepts. (3 s.h.)
General introduction to manufacturing: characteristics; manufacturing properties of traditional as well as engineering materials; details of manufacturing processes and machinery; surface technology and microelectronic device fabrication; quality assurance, human factors engineering, safety and product liability. Important developments and trends in manufacturing: impact of automation and computers; the competitive aspects and economics of manufacturing.

ENGR 622. Probabilistic Design. (3 s.h.)
The importance of reliability in the design stages of any product and concept development. Mathematical and statistical techniques; computer usage and techniques. Other topics include: risk study methodologies, hazard analysis, failure modes, effect analysis, constructing fault trees and decision tables, qualitative aspects of system analysis, conditional and unconditional probabilities, quantification of basic analysis, confidence limits for reliability parameters, data banks and validation, Markov model for redundancy, redundancy parameters, reliability 1,2 or N-component series systems, parallel systems, Monte Carlo methods and case studies.