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Union Graduate College Master of Science in Electrical Engineering
MS Electrical Engineering Courses

To ensure that MS degree candidates meet the requirements for all courses, all graduate students are required to have a plan of study on file that has been approved by the graduate advisor. Course availability is subject to change.
Union Graduate College Course Catalog provides additional information.


Non-Credit Electrical Engineering Courses

EER 599. Master of Science Graduate Project in Electrical Engineering
This non-credit seminar project provides a capstone experience for graduate electrical engineering candidates not completing a thesis or independent study. The candidate and faculty advisor agree on project scope and evaluation process. The candidate receives a pass/fail grade which appears on the official transcript. This is a no-fee course.


Credit-Bearing Electrical Engineering Courses

EER 502. Advanced Circuit Analysis
General network theory, graph topology. Topological methods applied to loop, node, node-pair, mixed variable, and state equations. Linear, nonreciprocal, and active networks. Prerequisite: Discrete Systems or equivalent.

EER 510. Semiconductor Device Theory
In-depth examination of the physical operation of basic semiconductor devices such as diodes, bipolar transistors, junction and metal-oxide-semiconductor field effect
transistors. Determination of internal parameters that contribute to device performance. Prerequisite: Electronic Devices or equivalent or permission of the instructor.

EER 512. Application of Integrated Circuits
Electronic processing of signals; properties of linear and hybrid integrated circuits; design of linear, nonlinear and hybrid electronic systems, active filter networks. Design projects required. This course is cross-listed in the Union College catalog as an undergraduate course (312). Graduate students will be expected to complete additional course work beyond the undergraduates in this class. Prerequisite: Analysis and Design of Electronic Circuits, Control Systems or equivalents, or permission of instructor.

EER 518. Digital Design
(Cross-listed as CSC 518)
The design of digital hardware systems at the module level using modern approaches. Datapath and control unit design, hardware description languages, minimization, pipeline. Laboratory exercise and a design project are required. This course is cross-listed in the Union College catalog as an undergraduate course (318). Graduate students will be expected to complete additional course work beyond the undergraduates in this class. Prerequisite: Introduction to Digital Computers or equivalents.

EER 520. State Space Analysis
Formulations of state equations, matrices and determinants. Main concepts of linear algebra. Eigenvalues and Eigenvectors. Solutions of state equations by EV-EVR methods. Prerequisites: Circuits and Systems, Discrete Systems or equivalents.

EER 521. Modern System Theory
Continuation of EER 520. Functions of matrices; Cayley-Hamilton’s theory. Time-varying systems, controllability and observability. Nonlinear systems and Lyapunov’s stability. Prerequisites: Control Systems, EER 520 or equivalents.

EER 524. Random Processes
Review of discrete probability, random processes. Markov chains and Queuing Theory. Applications to communication systems, and computer networks. Prerequisite: Some
probability knowledge desirable.

EER 525. Non-Linear Optimization
Extremization of objective functions (cost, performance, etc.) subject to constraints in the form of equalities and inequalities. Method of Lagrangian Multipliers. Kuhn Tucker conditions. Gradient search algorithm. Penalty functions. Direct methods of variational calculus and their application to approximate solutions of problems in electric circuit
theory. Economics of electric power networks. Prerequisites: Undergraduate math and linear algebra.

EER 526. Optimal Control Systems
Introduction to the theory and applications of optimal
control. Development of Bellman’s dynamic programming, variational methods and Pontryagin’s maximum principle. Applications to the synthesis of optimal regulators and trackers. Solution of control problems with minimum time, energy or fuel consumption. Prerequisites: Background in control theory and better than average mathematical ability. EER 520 helpful, but not necessary.

EER 528. Computer Based Control Systems
Sampling and reconstruction of analog signals, sampled data, z-transform, the computer as a control element, state-space representation of digital control systems, quantization effects, controllability; observability, stability. Prerequisite: Control Systems or equivalent.

EER 529. Neural Networks
(Cross-listed as CSc 529)
Topics include the biological basics of artificial neural networks, neuron models and architectures, backpropagation, associative and competitive learning. Weekly computer laboratories and a final project required. This course is cross-listed in the Union College catalog as an undergraduate course (329). Graduate students will be expected to complete additional course work beyond the undergraduates in this class. Prerequisite: Linear Algebra and Differential Equations, CSc Pre3 for computer science students.

EER 530. Fuzzy Logic
Topics include fuzzy sets and relations, membership functions, defuzzification, classical logic and fuzzy logic, fuzzy rule-based systems, nonlinear simulation, decision-making, pattern recognition and control systems. This course is cross-listed in the Union College catalog as an undergraduate course (330). Graduate students will be expected to complete additional course work beyond the undergraduates in this class. Prerequisites: Calculus and Linear Algebra, CSc Pre3 for computer science students.

EER 531. Electronic Devices
Terminal characteristics and theory of electronic devices; band theory, photo and electronic effects, PN junctions; bipolar and field effect transistors, discrete and integrated electronics. This course is cross-listed in the Union College catalog as an undergraduate course (310). Graduate students will be expected to complete additional course work beyond the undergraduates in this class. Prerequisite: Introduction to Semiconductor Devices and Circuits or equivalent.

EER 533. Wireless Communication Circuits
Communication circuits, including coupling networks, electrical noise, high-frequency amplifiers, mixers, phaselock loops, high efficiency and broadband amplifiers, modulators and demodulators, pulse modulation techniques. Three lab hours each week. Design projects required. This course is cross-listed in the Union College catalog as an undergraduate course (333). Graduate students will be expected to complete additional course work beyond the undergraduates in this class. Prerequisite: Analog Communications, Analysis and Design of Electronic Circuits or equivalents, or permission of the instructor.

EER 536. Computer Network Protocols
(Cross-listed as CSc 536)
Design, analysis, and operation of communication protocols for computer networks; the Internet, TCP/IP, addressing, switching, routing, congestion control, application protocols. This course is cross-listed in the Union College catalog as an undergraduate course (336). Graduate students will be expected to complete additional course work beyond the undergraduates in this class. Prerequisites: Introduction to Digital Computers or equivalent programming ability.

EER 537. Comparative Computer Architecture
(Cross-listed as CSc 537)
Study of computer architectures, with an emphasis on RISC processors, performance metrics, datapath and control, pipelines, cache design, and parallel instruction execution. Prerequisites: Operating Systems and either Introduction to Digital Computers or CSc Pre1 (Topics in Computer Logic and Mathematics) or equivalents.

EER 541. Energy Conversion
Theory of electromechanical energy conversion; characteristics of transformers and DC induction, and synchronous machines. This course is cross-listed in the Union College catalog as an undergraduate course (341). Graduate students will be expected to complete additional course work beyond the undergraduates in this class. Prerequisite: Electric Circuits or equivalent.

EER 542. Power Electronics I
This course examines the application of power semiconductor devices to the efficient conversion of electrical energy. Circuit analysis, signal analysis, and energy concepts are integrated to develop steady-state and dynamic models of generic power converters. Specific topics include AC/DC conversion, DC/DC conversion, DC/AC conversion, and AC/AC conversion. These generic converters are applied as controlled rectifiers, switching power supplies, motor drives, HVDC transmission, induction heating, and others. Ancillary circuits needed for the proper operation and control of power semiconductor devices are also discussed. Prerequisites: Courses in circuit analysis, signals and systems.

EER 542A. Power Electronics II
This course examines modeling and control techniques appropriate for application to power electronic and electric machine systems. The course will involve examination of the appropriate theory, followed by application through examples and small design projects. Simulation will be used to evaluate the merits of various techniques.
Prerequisites: EER 242, Power Electronics I; some exposure to state-space models is desirable.

EER 542B. Power Electronics III
This course is designed to introduce the student to the inside of AC electric machinery. It begins with a review of computing inductance using the integral form of Maxwell’s equations. Next, the energy method for computing the forces of electrical origin is introduced. These forces are then combined with circuit equations and the equations of mechanics to obtain dynamic models of electromechanical systems. The methodology developed is applied to simple electromechanical structures and then to various types of synchronous machines; induction machines are also considered. Consideration will be given to the electronic control of electric machines. Prerequisite: an undergraduate course in electromagnetics.

EER 543. Introduction to Antenna Theory
Propagation of electromagnetic waves, antenna parameters, arrays, wire antennas, aperture antennas, receiving antennas. Prerequisite: Introduction to Electromagnetic Engineering I or equivalent. This course is cross-listed in the Union College catalog as an undergraduate course (368). Graduate students will be expected to complete additional course work beyond the undergraduates in this class. Prerequisites: Introduction to Electromagnetic Engineering or equivalent.

EER 544. Digital Communications
Elements of a digital communication system, digital source coding, error correction, introduction to information theory, channel models, signaling waveforms, optimum reception and detection. Prerequisites: Analog Communications, Probability and Digital Communications or equivalents.

EER 546. Digital Signal Processing
Discrete sequences, sampling, z-transform, discrete and fast-Fourier transforms, discrete filter realizations, filter design based on analog, Butterworth, Chebyshev, Elliptic low pass filters, windowing and quantization effects. Prerequisite: Discrete Systems or equivalent.

EER 547. Data Communications and Networks
(Cross-listed as CSc 547)
An introduction to protocols, communication hardware, networks, error detection and handling, and software. This course is cross-listed in the Union College catalog as an undergraduate course (337). Graduate students will be expected to complete additional course work beyond the undergraduates in this class. Prerequisite: Introduction to Digital Computers or CSc Pre1 (Topics in Computer Logic and Mathematics), or equivalents. A knowledge of statistics is helpful.

EER 548. Digital Circuits
Special circuitry of digital systems; transistors as switches, logic gate types (RTL, DTL, TPL, ECL, MOS, CMOS, etc.), digital ICs semiconductor memories. Design projects required. This course is cross-listed in the Union College catalog as an undergraduate course (348). Graduate students will be expected to complete additional course work beyond the undergraduates in this class. Prerequisite: Introduction to Digital Computers, Introduction to Semiconductor Devices and Circuits or equivalents, or permission of the instructor.

EER 552. Embedded Microcontroller Systems
(Cross-listed as CSc 552)
Hardware and architecture with emphasis on 8051 Microcontrollers; programming in assembly and higher-level languages, microcomputer applications, and interfacing. Design projects required. This course is cross-listed in the Union College catalog as an undergraduate course (352). Graduate students will be expected to complete additional course work beyond the undergraduates in this class. Prerequisites: Knowledge of computer programming and Introduction to Digital Computers or equivalent.

EER 554. VLSI System Design
(Cross-listed as CSc554)
Design of very large scale integrated systems including structured design, stick diagrams, delay time estimation. Design from logic to physical levels; CAD tools for layout and simulation. Design projects required. This course is cross-listed in the Union College catalog as an undergraduate course (354). Graduate students will be expected to complete additional course work beyond the undergraduates in this class. Prerequisites: Introduction to Digital Computers and Introduction to Semi-conductor Devices and Circuits or equivalents.

EER 556. Detection, Estimation and Filtering
Decision criteria, estimation of their parameters, Wiener and Kalman filters. Prerequisites: Analog Communications and some knowledge of probability or Probability and Digital Communications, or equivalents.

EER 557. Image Processing
The course covers the basic operations performed on digital images. These include digitization, image enhancement and restoration, color image processing, and image compression using the discrete cosine transform and wavelets. This course is cross-listed in the Union College Catalog as an undergraduate class (347). Graduate students will be expected to complete additional course work beyond the undergraduates in this class. Prerequisite: Discrete Systems or equivalent.

EER 558. Waves in Communication
This course will cover the basic concepts needed to develop electromagnetic devices in wireless communication. These include transmission line theory and circuits, wave propagation and transmission, elements of guided waves and resonators, and basic antenna concepts. This course is cross listed in the Union College Catalog as an undergraduate class (358). Graduate students will be expected to complete additional course work beyond the undergraduates in this class. Prerequisite: Intro to Electromagnetic Engineering or equivalent.

EER 560. Power System Analysis I
Power and energy in AC circuits. Single-phase, three-phase and polyphase circuits in balanced and unbalanced regimes. Measurement of three-phase power. Determination of three-phase sequence. Single-line diagrams. Per-unit method of representation and computations. Transformers and synchronous machines in power systems. Parameters of transmission lines. This course is cross-listed in the Union College catalog as an undergraduate course (360). Graduate students will be expected to complete additional course work beyond the undergraduates in this class. Prerequisite: Electric Circuits or equivalent.

EER 561. Power System Analysis II
Wave-propagation in transmission lines. Analysis of power networks, load-flow solutions and control. Three-phase faults and symmetrical components. Power system protection. Stability of power systems. This course is cross-listed in the Union College catalog as an undergraduate course (361). Graduate students will be expected to complete
additional course work beyond the undergraduates in this class. Prerequisites: Electric Circuits or equivalent.

EER 563. Fundamentals of Wireless Electronics
RF components, transmission line theory, Smith chart, 2-port models, matching networks, RD transitor circuit design. This course is cross-listed in the Union College catalog as an undergraduate course (463). Graduate students will be expected to complete additional course work beyond the undergraduates in this class. Prerequisite: Introduction to Semiconductor Devises and Circuits or equivalent.

EER 571. System Modeling & Optimization
(ie Computational Intelligence)
(Cross-listed as CSC 571)
Topics include the theory, design, and application of biologically and linguistically motivated computational methods emphasizing neural networks, genetic algorithms, fuzzy logic, and hybrid intelligent systems in which these methods are employed. Special emphasis will be placed on applying these techniques to “real-world” problems, and examples from a broad range of industrial applications will be presented. Homework assignments and a final project are required. Prerequisites: undergraduate calculus and linear algebra.

EER 572. Engineering Statistics
Modern engineering practice makes extensive use of statistical methods for the efficient
collection and analysis of engineering data, and to support data-based decision making. This course will introduce the statistical tools that are of greatest importance for practicing engineers. Core topics to be covered will include probability and distribution theory, the construction and interpretation of statistical intervals, statistical hypothesis testing, regression analysis and empirical modeling, statistical experimental design, and statistical quality/process control. Additional specialized topics may also be covered, depending upon the interests of the class; possible topics include system reliability analysis, measurement system analysis, process capability analysis (and “six-sigma”), accelerated life testing, and acceptance sampling.

EER 581, 582, 583. Special Topics in Electrical Engineering.
Topics chosen from the current literature according to faculty and student interest. Possible topics include new developments in the major areas of electrical engineering such as electromagnetic fields, communications, controls, circuits, power, devices, electronics, and computer design. Topics may include but not be limited to image processing, machine vision, speech synthesis, integrated optics, antenna systems, adaptive filtering, variational methods, stochastic processes, optical communications, space and satellite communications, and computer networks. Each of these special topics courses has a variable content addressing specific current areas of interest to students. They will be offered whenever the need arises.

EER 590-595. Electrical Engineering Independent Graduate Study
(by arrangement)

EER 596-597. Electrical Engineering Graduate Research and Thesis
(by arrangement)

School of Engineering Electrical Engineering Curriculum
School of Engineering Electrical Engineering Courses
School of Engineering Electrical Engineering Admissions

For more information, contact:
Master of Science in Electrical Engineering Advisor
Dean Robert Kozik
(518) 388-8068



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