Curriculum
The program consists of 45 credits (15 courses) and is organized in 10-week quarters.
Students are required to take a minimum of 10 Electrical and Computing Engineering (ECE) courses, with at least three course sequences (9 courses or 27 credits) coming from the course sequences listed below. The remaining graduate courses may be selected from other ECE courses or the Online Engineering Management program.
Students may also choose two (maximum of 6 credits) of the elective courses by taking any other Drexel graduate-level course in engineering, Physics, Mathematics, business, or other discipline, upon approval from the ECE Graduate Advisor and appropriate college within Drexel University.
The academic advisor for the online M.S. in Electrical Engineering program is Dr. Leonid Hrebien. He is available to prospective students to answer any academic questions about the program, including the details of the courses and course scheduling and sequencing and how the program will meet the student’s professional and personal needs.
Leonid Hrebien, Ph.D. - Professor of Electrical and Computer Engineering
CAMPUS OFFICE: Bossone 310
PHONE: 215-895-6755
FAX: 215-895-1695
E-MAIL: lhrebien@coe.drexel.edu
Sequence Courses Descriptions
ECEP 501 - Power System Analysis
Covers modeling of power systems, including: symmetrical components, transmission lines, transformers, per-unit values and one-line diagrams. Introduces power flow. Required of first-year power majors; equivalent undergraduate credits may be substituted.
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ECEP 502 - Computer Analysis Power Systems
(Pre-Requisites: ECEP 501 Minimum Grade: C)
Covers digital computation methods, including load flow, fault, and transient stability problems. Required of first-year power engineering majors.
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ECEP 503 - Synchronous Machine Modeling
(Pre-Requisites: ECEP 502 Minimum Grade: C)
Covers two-reaction theory, Park's synchronous machine models, modeling of the synchronous machine excitation and governor systems, and the effects on power system stability. Required of first-year power engineering majors.
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ECES 511 - Fundamentals of Systems I
Covers linear operators, including forms and properties (differential equations, transfer function, state space, causality, linearity, and time invariance); impulse response, including convolution, transition matrices, fundamental matrix, and linear dynamical system; definition, including properties and classification; representation, including block diagrams, signal flow, and analog and digital; properties, including controllability and observability; and eigenstructure, including eigenvalues and eigenvector and similarity transformations.
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ECES 512 - Fundamentals of Systems II
(Pre-Requisites: ECES 511 Minimum Grade: C)
Covers realization and identification, including minimal realization, reducibility and equivalence of models, and identification of systems; stability, including bounded input-bounded output, polynomial roots, and Lyapunov; and feedback compensation and design, including observers and controllers and multi-input/multi- output systems.
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ECES 513 - Fundamentals of Systems III
(Pre-Requisites: ECES 512 Minimum Grade: C)
Covers multivariable systems, numerical aspects of system analysis and design, design of compensators, elements of robustness, and robust stabilization.
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ECES 521 - Probability & Random Variables
Covers: Probability concepts. Single and multiple random variables. Functions of random variables. Moments and characteristic functions. Random number and hypothesis testing. Maximum likelihood estimation.
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ECES 522 - Random Process & Spec Analysis
(Pre-Requisites: ECES 521 Minimum Grade: C)
Covers: Random Process. Poisson Process, Shot Noise. Gaussian Process. Matched Filters. Kalman Filters. Power Spectral Density. Autocorrelation and cross correlation. PSD estimation. Entropy. Markov Processes. Queuing Theory.
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ECES 523 - Detection & Estimation Theory
(Pre-Requisites: ECES 521 Minimum Grade: C and ECES 522 Minimum Grade: C)
Covers: Detection of signals in noise. Bayes criterion. NP criterion. Binary and M_ary hypotheses. Estimation of signal parameters. MLE and MAP estimation. 1D and 2D signals. ROC Analyses. Decision fusion.
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ECEC 631 - Principles of Computer Networking
Principles of circuit switching, packet switching and virtual circuits; protocol layering; application layer protocols for e-mail and web applications; naming and addressing; flow control and congestion avoidance with TCP; Internet Protocol (IP); routing algorithms; router architectures; multicast protocols; local area network technologies and protocols; issues in multimedia transmissions; scheduling and policing; Quality-of-Service and emerging Internet service architectures; principles of cryptography.
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ECEC 632 - Performance Analysis of Computer Networks
(Pre-Requisites: ECEC 631 Minimum Grade: C)
Covers perspectives in the areas of switch/router architectures, scheduling for best-effort and guaranteed services, QoS mechanisms and architectures, web protocols and applications, network interface design, optical networking, and network economics. The course also includes a research project in computer networking involving literature survey, critical analysis, and finally, an original and novel research contribution.
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ECEC 633 - Advanced Topics in Computer Networking
(Pre-Requisites: ECEC 631 Minimum Grade: C and ECEC 632 Minimum Grade: C)
Covers perspectives in the areas of switch/router architectures, scheduling for best-effort and guaranteed services, QoS mechanisms and architectures, web protocols and applications, network interface design, optical networking, and network economics. The course also includes a research project in computer networking involving literature survey, critical analysis, and finally, an original and novel research contribution.
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ECES 631 - Fundamentals of Deterministic Digital Signal Processing
This course introduces the fundamentals of deterministic signal processing.
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ECES 632 - Fundamentals of Statistical Deterministic Digital Signal Processing
(Pre-Requisites: ECES 631 Minimum Grade: C)
The course covers topics on statistical signal processing related to data modeling, forecasting and system identification.
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ECES 684 - Imaging Modalities
This course is intended to produce students and image processing with a background on image formation in modalities for non-invasive 3D imaging. The goal is to develop models that lead to qualitative measures of image quality and the dependence of quality imaging system parameters.
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ECES 641 - Control Systems
(Pre-Requisites: ECES 513 Minimum Grade: C)
Reviews state variable methods in control, including linear and non-linear systems; stability criteria; solution to control problems by analytic and direct numerical methods; and control system design.
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ECES 642 - Linear Optimal Control
(Pre-Requisites: ECES 641 Minimum Grade: C)
Covers linear system design via minimization of indices of performance, principle of optimality, quadratic performance criteria, Riccati equation and optimal feedback control systems, and analytic and numerical methods.
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ECES 643 - Dig Control System Analysis & Design
(Pre-Requisites: ECES 641 Minimum Grade: C)
Covers analysis and design of sampled-data control system using Z-transform and state-variable formulation, sampling, data reconstruction and error analysis, stability of linear and non-linear discrete time systems by classical and Lyapunov's second method, compensator design using classical methods (e.g., rootlocus) and computer-aided techniques for online digital controls, optimal control, discrete-time maximum principle, sensitivity analysis, and multirate sampled-data systems.
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ECEE 520 - Solid-State Electronics
This course familiarizes the students with the fundamental properties of semiconductor materials leading to the students of electronic and photonic devices. Covered topics include: atomic structure, crystal structure, theories of electron conduction, scattering, pn junctions, heterojunctions, metal-semiconductor contacts, and junction devices.
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ECEE 521 - Silicon Devices
Covers structure of silicon and other semi-conductor materials, band theory, metal-semiconductor contacts, P-N junctions, structure and operation of bipolar devices, structure and operation of unipolar devices, and heterojunctions and their applications.
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ECEE 522 - Photonic Devices
(Pre-Requisites: ECEE 521 Minimum Grade: C)
Covers fundamentals of absorption, spontaneous, and stimulated emission, photodetectors, light emitting diodes, laser oscillation, semiconductor laser diodes, RIN and phase noise, quantum well lasers, optical receivers, and quantum effect devices.
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ECET 511 - Physical Foundations of Telecommunications Networks
Introduction to wired and wireless telecommunication systems. Review of wave propagation. Review of wireline transmission media. Modeling wireline and wireless point-to-point communication links. N-port linear networks and network analysis/parameters. Review of passive RF components, semiconductor devices. Optical communication devices: optical switches, couplers, isolators, sources, modulators, detectors, amplifiers. Overview of active circuits.
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ECET 512 - Wireless Systems
Fundamentals of modern wireless systems. Fundamentals of radio propagation and link performance. Cellular concept: interference, base stations and cell sites, handoffs, system capacity. Fading environments: multipath propagation, delay spread, Doppler Spread, statistically fading channel models. Multiple-access schemes: FDMA, TDMA, CDMA, SDMA. Emerging methodologies: phases/adaptive antenna array, multi-array (MIMO) communication systems.
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ECET 513 - Wireless Networks
Introduction to Wireless Networks, Evolution: 1G, 2G, 3G, Next-G. Wireless Networks Operation: Mobility and Resource Management, Security. Wireless WANs: GSM, CDMA, IS-95, and IMT-2000, Mobil Data Networks, Wireless LANs: 802.11, HIPERLAN, Ad Hoc Networks, Mobil IP. Next Generation Wireless Systems.
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Elective Courses
This curriculum represents a sampling of course that may be available to students; other elective courses may be available each quarter.
EGMT 501 - Engineering Management I
Covers the principles and practices of administration of engineering and science activities, including nature of management, organization, planning, controlling action and measuring results, management of human resources, communication, and decision making.
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EGMT 502 - Engineering Management II
Cover the principles and procedures of creative problem solving, including the use of brainstorming sessions. A step-by-step formulation of the practical techniques by which creative imagination can be more productively utilized. Special attention to the development of professional creativity habits through formulating basic plans, investigating directions, developing methods, and optimizing and completing solutions.
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EGMT 537 - Problems in Engineering Administration
Uses the case method to provide a thorough study of engineering management and administrative procedures in recognizing and solving engineering problems. Emphasizes strategic planning and policy decisions that affect the image and success of the whole organization in its domestic and global environments.
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EGMT 573 - Operations Research I
Covers: Deterministic modeling. Specifically: linear programming; the Simplex Method; duality and sensitivity analysis; transportation, transshipment, and assignment problems; problem formulation; goal programming; network analysis; dynamic programming; integer programming and nonlinear programming. Case study applications of engineering and management problems.
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EGMT 574 - Operations Research II
Covers: Probabilistic modeling. Markov chains; queuing theory and applications; inventory theory; forecasting; design analysis and simulation. Case study applications of engineering and management problems.
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EGMT 680 - R&D Management I
Analyzes the issues and concepts involved in strategic and corporate development planning in the modern technologically oriented company. Pays particular attention to the fundamentals of corporate planning as they relate to the research and development product planning of the corporation. Includes some case studies.
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EGMT 680 - R&D Management II
Analyzes the issues and concepts involved in the management of research and development and its functional relationship to other elements of the corporate structure. Pays particular attention to the functional characteristics of the product line, company growth by technological innovation, application of systems engineering concepts to the corporate organization, and changing concepts in management structures to accommodate advances in science and technology.
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EGMT 680 - Six Sigma
Six Sigma is the most powerful breakthrough management tool ever devised, promising increased market share, cost reductions, and dramatic improvements in bottom-line profitability for companies of any size. This course is a "hands on" approach to six sigma by introducing students to methodologies, tools, analysis methods, and process improvement techniques. The course is equivalent to "green belt training." Upon successful completion of this course, students should be able to deploy the success of six sigma techniques within their companies and to; lead small scale improvement projects in their respective areas.
