Electrical Engineering, 2011
The graduate degree in electrical engineering combines theoretical fundamentals as well as practical aspects in this dynamic field, and educates students in the practices, methodologies, and techniques in the design of modern electronic systems. The focus is on telecommunication systems including wired and wireless networks.
The master of science degree in electrical engineering.
Students will complete 11 courses in such areas as mathematics, communication, microelectronics and control. Each student is required to complete a graduate paper.
RIT faculty will offer the program entirely in the Dubai. Students will be able to complete a master's degree in 18 months through a combination of online learning and quarterly intensive seminar classes and labs. Students will have the option of taking the Summer quarter in the main campus in Rochester, New York.
Admission into the graduate studies leading to an MS degree in electrical engineering requires a BSEE degree from an accredited program. An applicant with a strong undergraduate record and a bachelor of science degree in another branch of engineering (mechanical, computer, industrial, etc) will also be considered for admission. Pre-requisites for admission include a baccalaureate degree from an accredit college or university with an equivalent grade point average of 3.0 out of a 4.0 scale. In addition, all applicants are required to meet the English language requirement for graduate study at RIT by submitting either a TOEFL score (minimum score 80 internet based, 213 computer based or 550 paper based), or an IELTS score of at least 6.5.
Fall 2008 (August- November)
Mathematics for Engineers I Random Signals and Noise
Winter 2008 (November- February)
Mathematics for Engineers II Information Theory
Spring 2009 (March- May)
Wireless Communications Digital Data Communication
Summer 2009 (June- August)
Microelectronic Manufacturing I Microelectronic Manufacturing II
Fall 2009 (August- November)
Modern Control Theory Robust Control
Winter 2009 (November- February)
Optimal Control Technical Paper
Mathematics for Engineers I
A concise introduction to the concepts of matrix and linear algebra, including determinants, eigenvalues, systems of linear equations, vector spaces, linear transformations, diagonalization, orthogonal subspaces and the Gram-Schmidt orthonormalizing procedures. The use of complex exponentials in differential equations is introduced. Fourier series, Laplace and Fourier Transforms are also presented. (Graduate standing) Class 4, Credit 4
Mathematics for Engineers II
Topics covered are orthogonal functions including Fourier Series, Fourier Integrals, Bessel functions, Legendre Polynomials, Sturm-Liouville problems and eigenfunction expansions; an introduction to calculus of variation including problems with constraints; vector analysis including the directional derivative, the gradient, Green's Theorem, the Divergence Theorem and Stokes' Theorem; Laplace transform methods. (Graduate standing) Class 4, Credit 4
Random Signals and Noise
In this course the student is introduced to random variables and stochastic processes. Topics covered are probability theory, conditional probability and Bayes theorem, discrete and continuous random variables, distribution and density functions, moments and characteristic functions, functions of one and several random variables, Gaussian random variables and the central limit theorem, estimation of a random variable, random processes, stationarity and ergodicity, auto correlation, cross-correlation and power spectrum density, response of linear prediction, Wiener filtering, elements of detection, matched filters. (Graduate standing) Class 4, Credit 4
As interest in wireless technology is booming, wireless networks are enjoying very fast growth. This course covers fundamental techniques in design and operation of first, second, and third generation wireless networks: cellular systems, medium access techniques, radio propagation models, error control techniques, handoff, power control, common air protocols (AMPS, IS-95, IS-136, GSM, GPRS, EDGE, WCDMA, cdma2000, etc), radio resource and network management. As an example for the third generation air interfaces, wireless Internet and sensor networks are discussed in detail since they are expected to have a large impact on future wireless networks. This course is intended for graduate students who have some background on computer networks, but it is also open to senior undergraduates. Class 4, Credit 4
This course introduces the student to the fundamental concepts and results of information theory. This is a very important course for students who want to specialize in signal processing, image processing, or digital communication. Topics include definition of information, mutual information, average information or entropy, entropy as a measure of average uncertainty, information sources and source coding, Huffman codes, run-length constraints, discrete memoryless channels, channel coding theorem, channel capacity and Shannon's theorem, noisy channels, continuous sources and channels, coding in the presence of noise, performance bounds for data transmission, rate distortion theory. Class 4, Credit 4
Digital Data Communication
In this course on principles and practices of modern data communication systems, topics include pulse code transmission and error probabilities, M-ary signaling and performance, RF communications link budget analysis, an introduction to channel coding, a discussion of modulation/coding tradeoffs and a discussion of digital telephony. Class 4, Credit 4
Microelectronics Manufacturing I
A course in CMOS manufacturing. Topics include CMOS process technology, work in progress tracking, CMOS calculations, process technology, long channel and short channel MOSFET, isolation technologies, back-end processing and packaging. Associated is a lab for on-campus section (01) and a graduate paper/case study for distance learning section (90). The laboratory for this course is the student-run factory. Lot tracking, data collection, lot history, cycle time, turns, CPK and statistical process control are introduced to the students. Silicon wafers are processed through an entire CMOS process and tested. Students design unit processes and integrate them into a complete process. Students evaluate the process steps with calculations, simulations and lot history, and test completed devices.
Microelectronics Manufacturing II
A course in CMOS manufacturing. Topics include query processing, measuring factory performance, factory modeling and scheduling, cycle time management, cost of ownership, defect reduction and yield enhancement, reliability, 6 sigma manufacturing, process modeling and RIT's advanced CMOS process. Associated is a lab for on campus section (01) and a graduate paper for distance learning section (90). Laboratory experiences are related to the operation of the student run integrated circuit factory. Silicon wafers are processed through a complete CMOS process. (0305-731) Class 3, Lab 3, Credit 4
Modern Control Theory
An advanced course in control theory, topics covered include review of state-space formulation of SISO systems, solution of state equations, STM and its properties, application of state-space concepts, state variable design, multivariate systems, preliminaries, systems of lease order, stability and control. Class 4, Credit 4
The course covers different optimization techniques, as applied to feedback control systems. The main emphasis is on the design of optimal controllers for digital control systems. The major topics are: different performance indices, formulation of optimization problem with equality constraints, LaGrange multipliers, Hamiltonian and solution of discrete optimization problem. Discrete Linear Quadratic Regulators (LQR), optimal and suboptimal feedback gains, Riccati equation and its solution, linear quadratic tracking problem, Dynamic Programming, Bellman's principle of optimality, and optimal controllers for discrete and continuous systems. Class 4, Credit 4
One of the most useful qualities of a properly designed feedback control system is robustness, i.e., the ability of the closed-loop system to continue performing satisfactorily despite large variations in the open-loop plant dynamics. This course will provide an introduction to the analysis and design of robust feedback systems. Topics include overview of linear algebra and linear systems, H2 and H control, spaces, modeling and paradigms for robust control; internal stability; nominal performance (asymptotic tracking); balanced model reduction; uncertainty and robustness; H2 optimal control; H2 control; H2 loop shaping; controller reduction; and design for robust stability and performance. Software: MATLAB: Robust Control Toolbox, and mu-Toolbox. (0301-703) Class 4, Credit 4
This course number is used to fulfill the graduate paper requirement under the non-thesis option for the MS degree in electrical engineering. The student must obtain the approval of an appropriate faculty member to supervise the paper before registering for this course. Credit variable 05
RIT’s College of Engineering prides itself on the quality of its teaching and its rigorous procedures to ensure high standards. All programs are accredited by the Accreditation Board for Engineering and Technology (ABET). The College is a member of the American Society for Engineering Education. All graduating students are eligible and encouraged to sit for the intern engineer portion of the New York State Professional Engineering examination during their final quarter.
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