Electrical and Computer Engineering
Applications of probability theory and its engineering applications. Random variables, distribution and density functions. Functions of random variables, moments and characteristic functions. Sequences of random variables, stochastic convergence and the central limit theorem. Concept of a stochastic process, stationary processes and ergodicity. Correlation functions, spectral analysis and their application to linear systems. Mean square estimation. (Prerequisite: Undergraduate course in signals and systems.)
Discrete-time signals and systems, frequency analysis, sampling of continuous time signals, the z-transform, implementation of discrete time systems, the discrete Fourier transform, fast Fourier transform algorithms, filter design techniques. (Prerequisites: Courses in complex variables, basic signals and systems.)
Review of Fourier series and linear algebra. Fourier transforms, Laplace transforms, Z transforms and their interrelationship. State space modeling of continuous-time and discrete-time systems. Canonical forms, solution of state equations, controllability, observability and stability of linear systems. Pole placement via state feedback, observer design, Lyapunov stability analysis. (Prerequisite: Undergraduate course in signals and systems.)
This course introduces the fundamentals of computer system architecture and organization. Topics include CPU structure and function, addressing modes, instruction formats, memory system organization, memory mapping and hierarchies, concepts of cache and virtual memories, storage systems, standard local buses, high-performance I/O, computer communication, basic principles of operating systems, multiprogramming, multiprocessing, pipelining and memory management. The architecture principles underlying RISC and CISC processors are presented in detail. The course also includes a number of design projects, including simulating a target machine, architecture using a high-level language (HLL). (Prerequisites: Undergraduate course in logic circuits and microprocessor system design, as well as proficiency in assembly language and a structured high-level language such as C or Pascal.)
This course provides an introduction to the theory and practice of the design of computer and communications networks, including the ISO seven-layer reference model. Analysis of network topologies and protocols, including performance analysis, is treated. Current network types including local area and wide area networks are introduced, as are evolving network technologies. The theory, design and performance of local area networks are emphasized. The course includes an introduction to queueing analysis and network programming. (Prerequisites: knowledge of the C programming language is assumed. CS 504 or ECE 502 or equivalent background in CS 5084 or CS 584.)
This introductory course develops a comprehensive understanding of Maxwell?s field theory as applied to high-frequency radiation, propagation and circuit phenomena. Topics include radio frequency (RF) and microwave (MW) propagation modes, transmission line aspects, Smith Chart, scattering parameter analysis, microwave filters, matching networks, power flow relations, unilateral and bilateral amplifier designs, stability analysis, oscillators circuits, mixers and microwave antennas for wireless communication systems. (Prerequisites: ECE 504 or equivalent, undergraduate course in electromagnetic field analysis.)
The application of electronics to energy conversion and control. Electrical and thermal characteristics of power semiconductor devices?diodes, bipolar transistors and thyristors. Magnetic components. State-space averaging and sampled-data models. Emphasis is placed on circuit techniques. Application examples include dc-dc conversion, controlled rectifiers, high-frequency inverters, resonant converters and excitation of electric machines. (Prerequisites: ECE 3204 and undergraduate courses in modern signal theory and control theory; ECE 504 is recommended.)
This course is an advanced introduction to the design of analog and mixed analog-digital integrated circuits for communication and instrumentation applications. An overview of bipolar and CMOS fabrication processes shows the differences between discrete and integrated circuit design. The bipolar and MOS transistors are reviewed with basic device physics and the development of circuit models in various operating regions. The use of SPICE simulation in the design process will be covered. Integrated amplifier circuits are developed with an emphasis on understanding performance advantages and limitation in such areas as speed, noise and power dissipation. Simple circuits are combined to form the basic functional building blocks such as the op-amp, comparator, voltage reference, etc. These circuit principles will be explored in an IC design project, which may be fabricated in a commercial analog process. Examples of possible topics include sample-and hold (S/H) amplifier, analog-to-digital (A/D) and digital-to-analog (D/A) converters, phase-locked loop (PLL), voltage-controlled oscillator, phase detector, switched capacitor and continuous-time filters, and sampled current techniques. (Prerequisite: Background in analog circuits both at the transistor and functional block [op-amp, comparator, etc.] level. Also familiarity with techniques such as small-signal modeling and analysis in the s-plane using Laplace transforms. Undergraduate course equivalent background ECE 3204; ECE 4902 helpful but not essential.)
Courses in this group are devoted to the study of advanced topics in electronic system design. See the SUPPLEMENT section of the on-line catalog at www.wpi.edu/+gradcat for descriptions of courses to be offered in this academic year.
This course is an in-depth study of the theory, design and performance of high-speed networks. Topics include specific high-performance network implementations and emerging technologies, including multimedia networks and quality of service issues. Topics associated with interconnecting networks such as bridges and routers will also be discussed. Performance analysis of networks will include basic queueing models. (Prerequisite: CS 513/ ECE 506.)
Detection of signals in noise, optimum receiver principles, M-ary detection, matched filters, orthogonal signals and representations of random processes. MAP and maximum likelihood estimation. Wiener filtering and Kalman filtering. Channel considerations: pre-whitening, fading and diversity combining. (Prerequisites: ECE 502 and ECE 504 or equivalent.)
This course covers advanced topics in the theory, design and performance of computer and communications networks. Topics will be selected from such areas as local area networks, metropolitan area networks, wide area networks, queueing models of networks, routing, flow control, new technologies and protocol standards. The current literature will be used to study new networks concepts and emerging technologies. (Prerequisite: CS 513/ ECE 506 and CS 533/ ECE 581.)
Overview of wireless information networks and personal communications systems: digital cellular, wireless PBX, cordless phone, wireless LAN, and mobile data, multimedia wireless and directions of the future. Radio propagation modeling for urban and indoor radio channels, coverage interface and cell size. Modulation techniques for efficient use of bandwidth resources. Methods to increase the data rate: antenna diversity and sectorization, adaptive equalization, multirate transmission and multiamplitude phase modulation. Spread spectrum for digital cellular, personal communications and wireless LAN applications. TDMA, CDMA, ALOHA, and CSMA, DECT, GSM, USDC, JDC, IEEE 802.11, WINForum, and HIPERLAN. (Prerequisite: Background in networks. Familiarity with probability, statistics and signal processing).
Courses in this group are devoted to the study of advanced topics in in Communication Theory and Signal Processing. See the SUPPLEMENT section of the on-line catalog at www.wpi. edu/+gradcat for descriptions of courses to be offered in this academic year.
This course presents fundamental concepts of digital image processing and an introduction to machine vision. Image processing topics will include visual perception, image formation, imaging geometries, image transform theory and applications, enhancement, restoration, encoding and compression. Machine vision topics will include feature extraction and representation, stereo vision, model-based recognition, motion and image flow, and pattern recognition. Students will be required to complete programming assignments in a high-level language. (Prerequisites: working knowledge of undergraduate level signal analysis and linear algebra; familiarity with probability theory is helpful but not necessary.)
Courses in this group are devoted to the study of advanced topics in the formulation and solution of theoretical or practical problems in modern control. See the SUPPLEMENT section of the on-line catalog at www.wpi.edu/+gradcat for descriptions of courses to be offered in this academic year.
Courses in this group are devoted to the study of advanced topics in energy systems. Typical topics include optimal power flow, probability methods in power systems analysis, surge phenomena, design of electrical apparatus, transient behavior of electric machines and advanced electromechanical energy conversion. See the SUPPLEMENT section of the on-line catalog at www.wpi. edu/+gradcat for descriptions of courses to be offered in this academic year.
VLSI Design introduces computer engineers and computer scientists to the techniques, methodologies and issues involved in conceptual and physical design of complex digital integrated circuits. The course presupposes knowledge of computer systems and hardware design such as found in ECE 505, but does not assume detailed knowledge of transistor circuits and physical electronics. (Prerequisite: ECE 505 or equivalent.)
Courses in this group are devoted to the study of advanced topics in solid state, for example: degenerate semiconductors, many-body theory, elastic effects and phonon conduction, and solar cells. To reflect changes in faculty research interests, these courses may be modified or new courses may be added. See the SUPPLEMENT section of the on-line catalog at www.wpi.edu/+gradcat for descriptions of courses to be offered in this academic year.
This Course covers techniques such as caching, hierarchical memory, pipelining and parallelism, that are used to enhance the performance of computer systems. It compares and contrast different approaches to achieving high performance in machine ranging from advanced microprocessors to vector supercomputers (CRAY, CYBER). It also illustrates how these techniques are applied in massively parallel SIMD machines (DAP, Connection Machine). In each case the focus is on the combined hardware/ software performance achieved and the interaction between application demands and hardware/software capabilities. (Prerequisites: This course assumes the material covered in ECE 505. The student should also have a background in computer programming and operating systems (CS 502). Familiarity with basic probability and statistics such as ECE 502 or MA 541 is recommended.
This is an introductory course on Verilog and VHDL, two standard hardware description languages (HDLs), for students with no background or prior experience with HDLs. In this course we will examine some of the important features of Verilog and VHDL. The course will enable students to design, simulate, model and synthesize digital designs. The dataflow, structural, and behavioral modeling techniques will be discussed and related to how they are used to design combinational and sequential circuits. The use of test benches to exercise and verify the correctness of hardware models will also be described. Course Projects: Course projects will involve the modeling and sysntesis and testing of systems using Xilinx tools. We will be targeting Xilinx FPGA and CPLDs. Students will need to purchase a FPGA or CPLD development board for project assignments. (Other VHDL tools may be used if these are available to the student at their place of employment.) Students will have the choice of completing assignments in either Verilog or VHDL. (Prerequisites: Logic Circuits and experience with programming in a high-level language (such as C or Pascal) and a computer architecture course such as ECE 505.)
This course gives a comprehensive introduction to the field of cryptography and data security. The course begins with the introduction of the concepts of data security, where classical algorithms serve as an example. Different attacks on cryptographic systems are classified. Some pseudo-random generators are introduced. The concepts of public and private key cryptography are developed. As important representatives for secret key schemes, DES and IDEA are described. The public key schemes RSA and ElGamal, and systems based on elliptic curves are then developed. Signature algorithms, hash functions, key distribution and identification schemes are treated as advanced topics. Some advanced mathematical algorithms for attacking cryptographic schemes are discussed. Application examples will include a protocol for security in a LAN and a secure smart card system for electronic banking. Special consideration will be given to schemes which are relevant for network environments. For all schemes, implementation aspects and up-to-date security estimations will be discussed. (Prerequisites: Working knowledge of C; an interest in discrete mathematics and algorithms is highly desirable. Students interested in a further study of the underlying mathematics may register for MA 4891 [B term], where topics in modern algebra relevant to cryptography will be treated.)
Courses in this group are devoted to the study of advanced topics in computer engineering such as real-time intelligent systems, VLSI design and high-level languages. See the SUPPLEMENT section of the on-line catalog at www.wpi. edu/+gradcat for descriptions of courses to be offered in this academic year.
Methods and concepts of computer and communication network modeling and system performance evaluation. Stochastic processes; measurement techniques; monitor tools; statistical analysis of performance experiments; simulation models; analytic modeling and queueing theory; M/M, Erlang, G/M, M/G, batch arrival, bulk service and priority systems; work load characterization; performance evaluation problems. (Prerequisites: CS 5084 or CS 504 or equivalent background in probability and some background in statistics.)
The presentations in the graduate seminar series will be of tutorial nature and will be presented by recognized experts in various fields of electrical and computer engineering. All full-time graduate students will be required to take both seminar courses, ECE 596A and ECE 596B, once during their graduate studies in the Electrical and Computer Engineering Department. The course will be given Pass/Fail. (Prerequisite: Graduate standing.)
Approved study of a special subject or topics selected by the student to meet his or her particular requirements or interests. Can be technical in nature, or a review of electrical and computer engineering history and literature of importance and permanent value. (Prerequisite: B.S. in ECE or equivalent.)
The course will cover a set of important topics in signal and image analysis: orthogonal signal decomposition, wavelet transforms, analytic signals, time-frequency estimation, 2D FT, Hankel transform and tomographic reconstruction. In addition, the course will each year have selected current topics in signal processing, e.g., ambiguity functions in RADAR and SONAR, coded waveforms, Fourier based beamforming for 2D arrays and single value decomposition. In place of a final exam, there will be a student project. The course is intended for students working in areas such as image analysis, NDE, ultrasound, audio, speech, RADAR, SONAR and date compression. Signal/ image theory and applications will be emphasized over coding; however, Matlab-based modules for self-paced signal/image visualization and manipulation will be part of the course. (Prerequisites: ECE 504 Analysis of Deterministic Signals and Systems, undergraduate course in linear systems theory and vector calculus.)
This course provides deeper insight into areas of cryptography which are of great practical and theoretical importance. The three areas treated are detailed analysis and the implementation of cryptoalgorithms, advanced protocols, and modern attacks against cryptographic schemes. The first part of the lecture focuses on public key algorithms, in particular ElGamal, elliptic curves and Diffie- Hellman key exchange. The underlying theory of Galois fields will be introduced. Implementation of performance security aspects of the algorithms will be looked at. The second part of the course deals with advanced protocols. New schemes for authentication, identification and zero-knowledge proof will be introduced. Some complex protocols for real-world application? such as key distribution in networks and for smart cards?will be introduced and analyzed. The third part will look into state-of-the-art cryptoanalysis (i.e., ways to break cryptosystems). Brute force attacks based on special purpose machines, the baby-step giant-step and the Pohlig-Hellman algorithms will be discussed. (Prerequisites: ECE 578/ CS 578 or equivalent background.)
This course is intended for graduate and senior-level undergraduate students. The course provides an introduction to major antennas and antenna types for wireless communications, electrical and biomedical sensors, and RF and MW engineering. Basic antenna characteristics are studied: polarization, directivity, gain, realized gain, and impedance bandwidth. Both narrowband and broadband antennas as well as linear and planar antenna arrays are considered. An emphasis is made on learning modern antenna modeling software? ANSYS HFSS and Antenna Toolbox of MATLAB. The course structure is directed toward practical antenna design and enables senior undergraduate students to take this course. Course topics include: transmitter-receiver antenna circuit models, antenna radiation and radiation parameters, dipole antenna family, patch antenna family, loop antenna family, reflector antennas, small antennas, antenna matching and tuning, antenna arrays, on-body and in-body antennas. Prerequisites: undergraduate analog electronics, college MATLAB, and basic introductory knowledge of electromagnetic theory - ECE 2019 and ECE 3113 .
This course is intended for graduate and senior-level undergraduate students. Modern numerical methods and major software packages are reviewed in application to modeling electrical and biomedical sensors, bioelectromagnetics, wireless communications (including wireless body area networks), and power electronics. The course begins with an introduction to computational mesh generation. Triangular surface meshes, volumetric tetrahedral meshes, voxel meshes, and computational human phantoms are studied. The boundary element method or the method-of-moments is introduced and detailed, followed by a review of the finite element method for electromagnetic problems. The finite-difference time-domain method is another major topic of the course. The course also covers ray tracing algorithms in application to wireless networks. Prerequisites: college MATLAB, differential and integral calculus.
The ability to see the simplicity in a complex design problem is a skill that is not usually taught in engineering classes. Some engineers, when faced with design problems, immediately fill up pages and pages of calculations, or do complex circuit simulations or finite-element analyses. One problem with this approach is that if you get an answer, you do not know if it is correct unless you have an intuitive ?feel? for what the answer should be. The application of some simple rules of thumb and design techniques is a possible first step to developing intuition into the behavior of complex electrical systems. This course outlines some ways of thinking about analog circuits and systems that are intended will help to develop intuition and guide design. The lectures are a mixture of instructional sessions covering new background material, and design case studies. Prerequisites: Undergraduate background in device physics, microelectronics, control systems, electromagnetism.
This course covers the fundamentals of the evolving wireless localization techniques and their relation with the wireless access infrastructures for Electrical and Computer Engineering, Computer Science or other graduate students interested in this field. The course begins with an explanation of the common ground among wireless access and localization techniques which are principles of waveform transmission in multipath rich urban and indoor areas and the deployment of the infrastructure for wireless networks. This is followed by the fundamentals of received signal strength (RSS) and Time- and Angle-of-arrival (TOA/AOA) based localization techniques, addressing applications, systems, effects of environment, performance bounds and algorithms. The course describes how wireless access methods used in wide, local and personal area networks are related to localization techniques using cellular, UWB, WiFi, and other signals of opportunity as well as mechanical sensors used in different smart phone and Robotic platforms. The emphasis on the effects of environment is on the analysis of the effects of multipath on precision of the localization techniques. The emphasis on performance evaluation is on the derivation of Cramer Rao Lower Bound (CRLB). For algorithms, the course describes fingerprinting algorithms used for RSS-based localization and super-resolution, cooperative localization, localization using multi-carrier transmission and localization using multipath diversity as well as Kalman and Particle filtering techniques used for model based localization. Examples of emerging technologies in Body Area Networking and Robotics applications are provided. Prerequisite: ECE506, CS513, or equivalent familiarity with local and wide area networks.
This course introduces the fundamentals of information theory and discusses applications in compression and transmission of data. Measures of information, including entropy, and their properties are derived. The limits of loss less data compression are derived and practical coding schemes approaching the theoretical limits are presented. Lossy data compression tradeoffs are discussed in terms of the rate-distortion framework. The concept of reliable communication through noisy channels (channel capacity) is developed. Techniques for practical channel coding, including block and convolutional codes, are also covered. (Prerequisite: background in probability and random processes such as in ECE 502 or equivalent).
This course introduces a rigorous analytical treatment of modern digital communication systems, including digital modulation, demodulation, and optimal receiver design. Error performance analysis of these communication systems when operating over either noisy or band-limited channels will be conducted. Advanced topics to be covered include a subset of the following: MIMO, fading channels, multiuser communications, spread spectrum systems, and/or multicarrier transmission. (Prerequisites: An understanding of probability and random processes theory (ECE 502 or equivalent); an understanding of various analog and digital (de)modulation techniques (ECE 3311 or equivalent); familiarity with MATLAB programming.)
This course provides a broad introduction to medical signal analysis, particularly tailored to students who have no prior background in physiology or medicine. The course will concentrate on signal analysis of the electrical activity of the human body, providing sufficient physiologic background for study of the relevant organ systems. System-level engineering models of the electrical activity of the heart, skeletal muscles and brain will be presented and actual physiologic signals will be analyzed. Digital signal processing algorithms for analysis of these signals will be studied extensively using MATLAB. Specific signal processing topics may include: use of muscle electrical activity to command powered prostheses and/or guide rehabilitation therapy; design of filters to reject motion artifact, noise and interference; monitoring (e.g., detection and classification) of heart, brain and muscle electrical impulses; and non-invasive estimation of muscle activation level. Students may not receive credit for ECE 5341 and either ECE 443X or ECE 539D. Prerequisites: Undergraduate (or graduate) course in digital signal processing, experience with MATLAB and a course in probability.)
This graduate level course examines the principles of Power System Analysis. It will begin with a review of AC circuit analysis. The course will then cover the topics of transmission line parameter calculation, symmetrical component analysis, transformer and load modeling, symmetrical and unsymmetrical fault analysis, power flow, and power systems stability. (Prerequisites: Knowledge of circuit analysis, basic calculus and differential equations, elementary matrix analysis and basic computer programming.)
This graduate level course provides detailed explanations of the physical mechanisms that control phenomena related to Power Quality. It addresses concepts that underlie harmonic generation and harmonic flow, and the modeling of voltage sags and swells. The effects of such disturbances on equipment (transformers, rotating machines, lamps, relays and converters) performance are studied by means of actual field cases. Frequency response of the grid, resonances and ferroresonances as well as electromagnetic interference are studied. Mitigation methods using advanced transformers connections, static, hybrid and active filters are modeled using real-life examples. Others topics covered are Power Quality measurements in the era of smart grid, Power Quality problems caused by Renewable Generators, and Engineering Economics issues related to Power Quality. (Prerequisites: ECE 5500 Power System Analysis. Also, this course presumes that the student has an understanding of basic electronics.)
This graduate level course introduces the student to the effects of electromagnetic transients in distribution systems. Topics include transient analysis, lightning and switching surges, mechanisms of transient generation, insulation coordination, grounding, surge protection devices, and shielding. (Prerequisite: ECE 5500 Power System Analysis)
This graduate level course will further explore alternating current circuits, three phase circuits, basics of electromagnetic field theory, magnetic circuits, inductance, and electromechanical energy conversion. Topics also include ideal transformer, iron-core transformer, voltage regulation, efficiency equivalent circuit, and three phase transformers. Induction machine construction, equivalent circuit, torque speed characteristics, and single phase motors, synchronous machine construction, equivalent circuit, power relationships phasor diagrams, and synchronous motors will be covered. Direct current machine construction, types, efficiency, power flow diagram, and external characteristics will be discussed.
This graduate level course seeks to provide an understanding of how interconnected power systems and their components are protected from abnormal events such as faults (short circuits), over-voltages, off-nominal frequency and unbalanced phase conditions. This subject is presented from a theoretical viewpoint, however, many practical examples and applications are included that emphasize the limitations of existing protective equipment. Course content is not specific to any particular manufacturer?s equipment. The course begins with a brief review of power system operation, three-phase system calculations and the representation (modeling) of power system elements. The modeling of current transformers under steady-state and transient conditions is presented with emphasis on the impact on protective devices. A unit on system grounding and its impact on protective device operation are included. Course emphasis then shifts to protective devices and their principles of operation. Both electromechanical and numeric relay designs are covered. The final course segments cover specific applications such as pilot protection of transmission lines, generator protection and transformer protection. (Prerequisite: ECE 5500 Power System Analysis)
This graduate level course is the first of a two course sequence that covers both the principles and practices of power system protective relaying. The course seeks to provide an understanding of how interconnected power systems and their components are protected from abnormal events such as faults (short circuits), over-voltages, off-nominal frequency and unbalanced phase conditions. This subject is presented from a theoretical viewpoint, however, many practical examples are included that emphasize the limitations of existing protective equipment. Course content is not specific to any particular manufacturer?s equipment. The course begins with a brief review of the nature of power system operation, power system faults and other abnormal conditions. The nature and objectives of protective relaying are covered next with emphasis on how the power system can be monitored to detect abnormal conditions. The computational tools needed to analyze system operation and apply protective relaying are covered next, including the per-unit system, phasors and symmetrical components. The modeling of current transformers under steady-state and transient conditions is presented with emphasis on the impact on protective devices. A unit on system grounding and its impact on protective device operation is included. Course emphasis then shifts to protective devices and their principles of operation. Both electromechanical and numeric relay designs are covered. (Prerequisite: ECE 5500 Power System Analysis or equivalent background experience is suggested. Familiarity with phasors, derivatives, transfer functions, poles and zeros, block diagram and the notion of feedback with basic understanding power system analysis or similar background is recommended. Note: Credit cannot be awarded for this course if credit has already been received for ECE 5520 Power System Protection and Control.)
This graduate level course covers advanced topics in the principles and practices of power system protective relaying. The course seeks to provide an understanding of how protective relays are applied to protect power system components. While the subject is presented from a theoretical viewpoint, many practical examples are included. Examples specific to both new installations and existing, older facilities will be included. Course content is not specific to any particular manufacturer?s equipment. The course begins with applications of protective devices to generators. This will include distributed generation as well as wind-turbine and inverter-connected sources. Transformer protection is covered next, including application procedures for older, electromechanical relays as well as modern numeric relay designs. A unit on bus protection is covered next, including all typical high-speed and time backup bus protection schemes. Transmission line and distribution feeder protection is covered in detail including both conventional and communications-assisted schemes. The course ends with a unit on other protection applications such as under frequency load shedding, reclosing and out-of-step relaying. (Prerequisite: ECE 5521 Protective Relaying. Note: Credit cannot be awarded for this course if credit has already been received for ECE 5520 Power System Protection and Control.)
This graduate level course is concerned with modeling, analyzing and mitigating power system stability and control problems. The course seeks to provide an understanding of the electromechanical dynamics of the interconnected electric power grid. This subject is presented from a theoretical viewpoint; however, many practical examples are included. The course begins with a description of the physics of the power system, frequency regulation during ?steady-state? operation, dynamic characteristics of modern power systems, a review of feedback control systems, power system frequency regulation, and a review of protective relaying. This is followed by material on synchronous machine theory and modeling. Simulation of power system dynamic response, small signal stability, transient stability analysis using SIMULINK and effects of non-traditional power sources on systems dynamics will also be covered. Power system stabilizers, load modeling and under frequency load shedding are covered in the final lectures. (Prerequisite: Familiarity with the basics of Laplace Transforms, derivatives, transfer functions, poles and zeros, block diagram and the notion of feedback with basic understanding power system analysis topics recommended. (ECE 5500 Power System Analysis and ECE 5511 Transients in Power Systems or equivalent background experience is suggested.)
This graduate level course introduces the fundamentals of power distribution systems, apparatus, and practices suited to new and experienced utility distribution engineers. Topics include distribution system designs, transformers and connections, practical aspects of apparatus and protection, principles of device coordination, grounding, voltage control, and power quality. (Prerequisites: Prior courses in magnetism and three-phase circuits. An electric machines course would be recommended.)
This graduate-level course deals with modern operation, control and planning for power systems. Topics include: Characteristics of generating units; Economic Dispatch; Unit Commitment; Effects of the transmission system on power delivery; Optimal Power Flow and Location Marginal Pricing; Power System Security; State Estimation for Power Systems; Power System Reliability Evaluation. Software tools such as MATLAB and power system simulator software will be used both in the classroom and in some homework assignments.
This graduate level course focuses on the theory and current professional practice in problems of electric power transmission. It begins with a review of the theory of AC electric power transmission networks and addresses a range of challenges related to reactive power and voltage control as well as steady-state and transients stability. Students will learn in detail the principles of traditional reactive power compensation (shunt reactors and capacitors); series compensation and modern static reactive compensation like SVC, STATCOM and other Flexible AC Transmission Systems (FACTS) devices. The effects of each of these types of compensation on static and dynamic voltage control, reactive power requirement and steady-state and transient stability problems are covered from theoretical as well as practical aspects. Particular attention is given to the mathematical models and principles of operation of many types of compensation systems. Basic principles of operation and control of High-Voltage DC (HVDC) systems and their impact on steady-state and dynamics of power system will be covered as well. (Prerequisite: ECE 5500 Power System Analysis.)
This project-based course integrates power systems engineering theory and practice, and provides the opportunity to apply the skills and knowledge acquired in the Power Systems curriculum. The project is normally conducted in teams of two to four students. Students are encouraged to select projects with practical significance to their current and future professional responsibilities. The projects are administered, advised, and evaluated by WPI faculty as part of the learning experience, but students are also encouraged to seek mentorship from experienced colleagues in the Power Systems profession. Prerequisites: Since the Capstone Project will draw on knowledge obtained throughout the degree program, it is expected that the student will have completed most or all of the coursework within their plan of study before undertaking the capstone project.
This course focused on the principles and applications of using FPGAs for reconfigurable computing. The key feature of reconfigurable computing is its ability to perform computations in customized hardware, while retaining much of the flexibility of a software solution. This course provides an overview of field programmable gate array (FPGA) architecture and technology. It introduces computer-aided design tools for FPGAs including synthesis, timing, placement, and routing. The course emphasizes on the techniques to analyze algorithms and to implement them on the FPGAs. It demonstrates real-time signal and data processing in customized hardware circuits. This course also covers system-on-chip design using the embedded processors inside the FPGAs. Partially reconfiguration and runtime reconfiguration design flow are also included.
Automatic design, synthesis, verification, and modeling of complex digital systems with Verilog are the main course objectives. Verilog for modeling existing circuits, as well as Verilog for design and automatic synthesis is discussed. Using Verilog for a design that consists of a hierarchy of components that include controllers, sequential and combinational parts is focused. Design description from transistor level to software interface will be discussed. Students will learn details of hardware of processor architectures and their peripherals. The course discusses module delay adjustments using Verilog path delay and distributed delay mechanisms. Testbench development and assertion verifications will be discussed. Students will learn to simulate verify, synthesize, and program their designs on an Altera development board using advanced Altera FPGAs. Prerequisite: Undergraduate knowledge of basic logic design concepts. ECE 574 may be substituted for ECE 5720. Students may not receive credit for both ECE 574 and ECE 5720. For students not having the necessary background, online videos will be made available to cover the prerequisites.
This course introduces the concept of design with embedded components. Embedded processors, IP cores, and bus structures are discussed here. Embedded processor architectures, architectures for arithmetic processors, I/O interfacing modules, memory interfacing, and architectures related to busses and switch fabrics for putting a complete embedded system are discussed here. Topics include RT level design, arithmetic processors, ISA, CPU structure and function, addressing modes, instruction formats, memory system organization, memory mapping and hierarchies, concepts of cache, standard local buses, IO devices, pipelining, memory management, embedded processors, embedded environments, bus and switch fabrics, and embedded system implementation. An example embedded design environment including its configurable cores and processors and its bus structure will be presented in details. The course also includes a number of design projects, including design and simulation of an embedded processor, design of an arithmetic core, and design of a complete embedded system. Prerequisite: Familiarity with C programming, Undergraduate knowledge of basic logic design concepts, familiarity with a hardware description language. Note: For students not having the necessary background, online videos will be made available to cover the prerequisites.
This course discusses principles, methodologies and tools used for a modern hardware design process. Design flows and hardware languages needed for each stage of the design process are discussed. The use of transaction level modeling (TLM) for dealing with today?s complex designs is emphasized. The course starts with a discussion of the evolution of hardware design methodologies, and then discusses the use of C++ for an algorithmic description of hardware. SystemC and its TLM derivative and the role of SystemC in high-level design will be discussed. In addition, RT level interfaces and the use of SystemC for this level of design will be covered. Timed, untimed, and approximately timed TLM models and modeling schemes will be presented. Use of TLM for fast design simulation, design space exploration, and high-level synthesis will be discussed. TLM testing methods and testing of TLM based NoCs will be discussed. The course starts with a complete design project and exercises various parts of this design as methodologies, concepts, and languages are discussed. Specific topics covered are as follows: Levels of abstraction C++ for digital design SystemC RT level and above TLM methodology TLM timing aspects TLM channels TLM channels Mixed level design NoC TLM modeling System testing
This course discusses faults and fault modeling, test equipment, test generation for combinational and sequential circuits, fault simulation, memory testing, design for testability, built-in self-test techniques, boundary scan, IEEE 1149.1, and board and SoC test standards. Various fault simulation and ATPG methods including concurrent fault simulation, D-algorithm, and PODEM are discussed. Controllability and observability methods such as SCOAP for testability analysis are discussed. Various full-scan and partial scan methods are described and modeled in Verilog and tested with Verilog testbenches. BIST architectures for processor testing, memory testing and general RT level hardware testing are described, modeled in Verilog and simulated and evaluated for fault coverage. The course uses Verilog testbenches for simulating golden models, developing and evaluating test sets, and for mimicking testers.
The operation of the bipolar junction transistor (BJT) will be explored in detail, resulting in thorough understanding of observed phenomena including second-order effects that limit device performance in practical integrated circuit applications. The course begins with a review of semiconductor fundamentals and p-n junction behavior, followed by extension to the BJT, with an emphasis on effects such as temperature dependence of operation parameters, deviations from ideal behavior at high and low voltages and currents, and failure modes such as zener and avalanche breakdown. BJT behavior will be modeled for large and small signals under DC, AC, and transient conditions. Results from theoretical hand-analysis equations will be correlated with model parameters in software tools such as SPICE. Implications of fabrication technology including device scaling in submicron processes will be considered. This course is intended for students pursuing study in either integrated circuit design or device physics. (Prerequisite: undergraduate analog electronics).