Course Descriptions
General Engineering (ENGR)

Graduate Courses

To view the complete schedule of courses for
each semester, go to Cardinal Students.

ENGR 501: Introduction to Mechatronics
3.00 Credits

Fundamental concepts for the synergistic combination of mechanical and electrical engineering, computer science, and information technology. This includes basic control systems as well as numerical methods used to design products with built-in intelligence. The fundamental aspects of mechatronics include: system modeling, simulation, sensors, actuation, real-time computer interfacing, and control.

ENGR 503: Control Systems
3.00 Credits

This course will cover concepts related to classical control theory, beginning with system modeling and identification, and concluding with control design. The focus off this course will be on frequency-domain system design and analysis. Since most engineering disciplines take this class, we will cover electrical, mechanical, and biomedical systems. Control theory requires a solid understanding of mathematics and dynamics, as well as a familiarity with modeling systems. As such, the majority of the class will be lecture based, where these concepts will be presented through both a conceptual and practical framework. Students will be required to turn in weekly homework assignments, which can be worked on in groups, however independent submission of work is required. Labs will also be assigned, and will consist of implementing real-world controllers in the ENGR controls laboratory. Finally, two exams during the semester and a final exam will be given. Topics that will be presented include system modeling and identification, 1st and 2nd order system responses, root locus, stability, bode plots and analysis, and Nyquist theory. The material will be presented through theory and in examples, while assignments will include both analytical and computer analysis as well as laboratory design and implementation.

ENGR 504: Modern Control Systems
3.00 Credits

Analysis of control systems in state space, control system design via pole placement, design of state estimators, quadratic optimal control systems design. MATLAB used extensively for analysis and design problems.

ENGR 510: Strategic Standardization
3.00 Credits

A survey course, intended for graduate engineering and law students. Provides students with a broad understanding of the interdisciplinary issues associated with standardization, which is a difficult concept to define. From a broad perspective, the term covers every product, material, and service in commerce, anywhere in the world; it is one of the most critical components associated with the development of the global economy and all of its individual parts.

ENGR 516: Computational Methods for Graduate Students
3.00 Credits

Discretization methods (finite differences, finite volumes, finite elements), stability and convergence; parabolic, hyperbolic, and elliptic PDEs: model equations and numerical solutions method. Numerous programming exercises will be assigned.

ENGR 518: Experimental Techniques for Graduate Students
3.00 Credits

This course introduces students to the different aspects of experimental research in engineering. The course will cover fundamental issues such as: planning and design of an experimental campaign, laboratory safety, data acquisition and signal processing. State-of-the-art experimental techniques in different areas of engineering research will also be presented, with focus on modern, non-intrusive, laser-based measurement methods. The goal is provide students with the knowledge required to plan, design and conduct an experimental campaign, which they can eventually apply to their own research efforts.

ENGR 520: Mathematical Analysis for Graduate Students
3.00 Credits

Ordinary Differential Equations. Laplace transfrom. Series solutions of ODEs (Bessel functions, Legendre polynomials). Boundary Value Problems. Fourier series and Fourier transform. Classification of PDEs and solution of model equations (wave equation, heat equation, Laplace equation).

ENGR 538: Introduction to Environmental Engineering
3.00 Credits

A first course for students interested in environmental engineering. The course discusses air pollution, indoor air quality, and global climate change; emission and control of air pollutants; water supply, quality, and pollution; treatment of drinking water and wastewater; and characterization and management of solid/hazardous waste. The problem-solving techniques based on mass balance, chemical kinetics, environmental microbiology, and energy conversion calculations are rigorously taught for quantitative analysis of environmental problems and their engineering solutions. Open-ended problems will be assigned and a field trip to a local waste treatment plant will be arranged.

ENGR 540: Reliability Engineering
3.00 Credits

no description available

ENGR 541: Transport Phenomena in Biological Systems: Engineering Applications
3.00 Credits

no description available

ENGR 545: High-Resolution Radar Signal Processing
3.00 Credits

no description available

ENGR 547: Intermediate Thermodynamics
3.00 Credits

no description available

ENGR 552: Introduction to Imaging Technologies
3.00 Credits

Introduction to common imaging modalities such as ultrasound, x-rays, computer-aided tomography (CAT), magnetic resonance imaging (MRI), and positron emission tomography (PET). Advanced computer methods of 2-Dand 3-D image reconstruction as well as digital signal processing methods used in image recognition and enhancement of medical images will be covered. Physical principles of imaging, images reconstruction techniques, and advanced digital processing techniques will be discussed.

ENGR 565: Nonlinear Dynamics and Chaos
3.00 Credits

An introduction to nonlinear differential equations and chaos, with emphasis on applications from various fields of engineering and science. Topics include stability analysis and bifurcations, phase plane analysis, limit cycles, Poincare maps, chaos, iterated maps, fractals, and strange attractors.

ENGR 575: Introduction to Systems Analysis
3.00 Credits

Introduces a scientific approach to decision making, usually under conditions requiring the allocation of scarce resources. Provides several of the most useful and realistic mathematical models available for solving engineering management problems, including linear programming, transportation and assignment models, deterministic economic order quantity inventory models, and network models. Same as CMGT 575.

ENGR 593: Independent Study
3.00 Credits

no description available

ENGR 593A: Independent Study
1.00 Credits

no description available

ENGR 621: Kalman Filtering
3.00 Credits

ENGR 621: Fundamental of Kalman Filtering This course covers basic problem of state estimation (prediction, Kalman filtering, smoothing), the steady-state Kalman filtering for linearized state variable model, and state estimation for the "not-so-basic" state estimation. The state estimation is also discussed for nonlinear model. The course is accompanied with computer projects. Prerequisites: Random Signal Theory, EE 561 or equivalent.

ENGR 634: Digital Image Processing
3.00 Credits

ENGR 634: Digital Image Processing This course deals with the fundamentals of the major topics of digital image processing. The topics used in the course include the two-dimensional systems and mathematical preliminaries, image sampling and quantization, image transforms, stochastic models, image enhancement, filtering, restoration, reconstruction, and compression. This course is accompanied with computer projects. Prerequisites: Random Signal Theory, EE 561 or equivalent.

ENGR 693: Graduate Independent Study
3.00 Credits

no description available