六九色堂 : Electrical Engineering ENEL

Electrical Engineering ENEL

Instruction offered by members of the Department of Electrical and Computer Engineering in the Schulich School of Engineering.

Department Head - A. Sesay

Associate Heads 鈥� W. Rosehart (Undergraduate), D. Westwick (Graduate)

Director of Undergraduate Program for Electrical Engineering 鈥� G. Messier

Director of Undergraduate Program for Computer Engineering 鈥� N. Bartley

Director of Undergraduate Program for Software Engineering 鈥� M. Moussavi

Electrical Engineering 107

Computer, Electrical and Software Engineering Fourth-Year Block Course

This block course is intended to provide the necessary background material to prepare students for the fourth year Team Design Project.
Course Hours: Q(16 hours)
Prerequisite(s): Fourth year standing in the Department of Electrical and Computer Engineering.
Also known as: (formerly Electrical Engineering 007)
NOT INCLUDED IN GPA

Senior Courses

Electrical Engineering 327

Signals and Transforms

Continuous-time systems. Impulse response and convolution. Fourier series and Fourier transform. Basics of discrete time signals. Sampling theory. Discrete convolution. Difference equations and the Z-transform. Discrete-time Fourier representations.
Course Hours: H(3-1.5T)
Prerequisite(s): Applied Mathematics 307 .

Electrical Engineering 341

Circuits I

Definition of linear elements, independent and dependent sources, sign conventions; basic circuit laws, simple resistive circuits; node and mesh analysis. Thevenin, Norton and other theorems; inductance and capacitance. Ac circuit analysis, impedance, admittance, phasor diagrams; average and effective values of waveforms, real, reactive and complex power, power calculations; mutual inductance, transformers, introduction to balanced three-phase circuits, power calculation in three-phase circuits, Analysis of circuits containing diodes. Operational amplifiers.
Course Hours: H(3-1T-3/2)
Prerequisite(s): Physics 259 .

Electrical Engineering 343

Circuits II

Laplace transform methods for circuit analysis. Transfer functions and series and parallel resonance. Basid filter theory and Bode diagrams. Natural, step, and transient responses of RL, RC, and RLC circuits. Two-port circuits. Two-port circuit parameters: admittance, impedance and hybrid parameters.
Course Hours: H(3-1T-3/2)
Prerequisite(s): Applied Mathematics 307 and one of Electrical Engineering 341 or Biomedical Engineering 327 .
Corequisite(s): Electrical Engineering 327 .

Electrical Engineering 353

Digital Circuits

Combinational logic: number systems, truth tables, Karnaugh maps, minterms, maxterms. Sequential circuits, JK and D flip flops, state diagrams and synthesis techniques. Memory based logic functions. Gates, buffers, counters, multiplexers, demultiplexers and registers. Medium and large scale integration in sequential design.
Course Hours: H(3-1T-3/2)
Prerequisite(s): (Computer Science students only) Computer Science 233 and Mathematics 271 .
Antirequisite(s): Note: Credit for both Electrical Engineering 353 and Computer Science 321 will not be allowed.

Electrical Engineering 361

Electronic Devices and Materials

Properties of atoms in materials, classical free electron model, conduction electrons in materials, and band electrons. Properties of semiconductors and insulators; Doping and PN Junctions, Diodes, BJTs, MOSFETs
Course Hours: H(3-1T-3/2)
Prerequisite(s): Applied Mathematics 219 ,

Electrical Engineering 419

Probability and Statistics for Electrical Engineers

Expressing electrical engineering data in terms of probability, introduction to probability theory, Bayes theorem, discrete and continuous random variables, estimation, sampling distributions, hypothesis testing and the Neyman-Pearson condition, simple linear regression and correlation. Applications chosen from electrical engineering.
Course Hours: H(3-1.5T)
Prerequisite(s): Applied Mathematics 307 , Electrical Engineering 341 , and Computer Engineering 339 .
Antirequisite(s): Note: Credit for more than one of Electrical Engineering 419 , Engineering 319 and Biomedical Engineering 319 will not be allowed.

Electrical Engineering 441

Control Systems I

Component block diagram of feedback control systems and examples. Mathematical modelling of dynamic systems; state-space representation and frequency domain representation of dynamic systems. Basic control actions and industrial controllers. Transient response analysis and steady-state error analysis. Root-locus analysis and design. Frequency response analysis; Nyquist stability criterion and analysis. Design and compensation techniques. Introduction to digital control systems.
Course Hours: H(3-1T-3/2)
Prerequisite(s): Electrical Engineering 327 .

Electrical Engineering 453

Digital Systems Design

Design, implementation and testing of a digital system. Mask programmable and field programmable technology. Logic design for integrated systems. Design for testability. Real versus ideal logic design. CAD tools for digital systems design: simulation, synthesis and fabrication.
Course Hours: H(3-1T-3/2)
Prerequisite(s): Electrical Engineering 353 and 361 .

Electrical Engineering 469

Analog Electronic Circuits

Review of semiconductor diodes, rectifiers and clamping. BJTs, small signal models, one stage topologies, frequency response and differential pairs. Circuit blocks.
Course Hours: H(3-1T-3/2)
Prerequisite(s): Electrical Engineering 361 .

Electrical Engineering 471

Analog Communications

Fundamentals of communication systems; signals and system classifications. Signal analysis; Fourier series and Fourier transform. Systems analysis; filters, time-domain and Frequency-domain analysis. Analog modulation; linear continuous wave and nonlinear continuous wave modulation; generation and detection of analog modulated waves. Applications of analog modulation. Noise in analog modulation; comparison of analog modulations.
Course Hours: H(3-1T-3/2)
Prerequisite(s): Electrical Engineering 327 .

Electrical Engineering 475

Electromagnetic Fields and Applications

Electrostatic and magnetostatic fields and applications; applications of vector calculus for electromagnetics; introduction to Maxwell's equations for time-varying fields; plane wave propagation.
Course Hours: H(3-1T)
Prerequisite(s): Physics 259 and Applied Mathematics 307 .

Electrical Engineering 476

Electromagnetic Waves and Applications

Plane wave propagation, reflection, and refraction; transmission line theory and applications; introduction to scattering parameters, matching networks, Smith charts; propagation in waveguides; cavities and resonant modes; advanced topics.
Course Hours: H(3-1T-3/2)
Prerequisite(s): Electrical Engineering 475 .

Electrical Engineering 487

Electrical Engineering Energy Systems

Energy resources and electric power generation, transmission and distribution; simple generator and load models, transformers, transmission lines, and circuit breakers. Power system analysis: per unit representation, power flow, fault analysis and protection.
Course Hours: H(3-1T-3/2)
Prerequisite(s): Electrical Engineering 341 or Biomedical Engineering 327 .
Antirequisite(s): Note: Credit for both Electrical Engineering 487 and 387 will not be allowed.

Electrical Engineering 489

Modelling and Control of Electric Machines and Drives

Principles of electromechanical energy conversion. Rotating Machines (DC, Synchronous and Induction machines). Synchronous Generator voltage and power control. motor drive systems.
Course Hours: H(3-1T-3/2)
Prerequisite(s): Electrical Engineering 341 or Biomedical Engineering 327 .

Electrical Engineering 519

Special Topics in Electrical Engineering

Current topics in electrical engineering.
Course Hours: H(3-2)
Prerequisite(s): Consent of the Department.
Notes: Consult Department for announcement of topics.
MAY BE REPEATED FOR CREDIT

Electrical Engineering 525

Neuro-Fuzzy and Soft Computing

Neural networks: neuron models and network architectures; preceptrons; Widrow-Hoff learning and the backpropagation algorithm; associative memory and Hopfield networks; unsupervised learning. Fuzzy systems: basic operations and properties of fuzzy sets; fuzzy rule generation and defuzzification of fuzzy logic; fuzzy neural networks. Applications in areas such as optimization, signal and image processing, communications, and control. Introduction to genetic algorithms and evolutionary computing. Introduction to chaos theory.
Course Hours: H(3-2)
Prerequisite(s): Electrical Engineering 327 .

Electrical Engineering 527

Design and Implementation of FPGA-Based DSP Systems

The design and implementation of digital systems for digital signal processing applications. Introduction to Hardware Design Languages. VHDL. Introduction to digital filter design and computational units for digital arithmetic. Interface standards. Interfacing to peripheral devices. Printed circuit board design and implementation. Design for testability.
Course Hours: H(3-2)
Prerequisite(s): Electrical Engineering 453 and 471 .

Electrical Engineering 529

Wireless Communications Systems

Overview of terrestrial wireless systems including system architecture and industry standards; propagation characteristics of wireless channels; modems for wireless communications; cells and cellular traffic; cellular system planning and engineering; fading mitigation techniques in wireless systems; multiple access techniques for wireless systems.
Course Hours: H(3-1T-1)
Prerequisite(s): Electrical Engineering 471 and one of Biomedical Engineering 319 or Engineering 319 or Electrical Engineering 419 .

Electrical Engineering 541

Control Systems II

Introduction to sampled-data control systems, discretization of analog systems, discrete-time signals and systems, causality, time-invariance, z-transforms, stability, asymptotic tracking, state-space models, controllability and observability, pole assignment, deadbeat control, state observers, observer-based control design, optimal control.
Course Hours: H(3-1T-3/2)
Prerequisite(s): Electrical Engineering 441 .

Electrical Engineering 559

Analog Filter Design

This class deals with the theory and design of active filters, for audio-frequency applications, using op amps. It consists, basically, of two phases. Phase 1 deals with the realization of a given transfer function using cascade of first and/or second-order RC-op amps circuits. In phase II, the transfer functions of filters are studied in combination with frequency-response approximations such as Butterworth, Chebyshev, Inverse-Chebyshev, Cauer (or Elliptic) and Bessel-Thompson.
Course Hours: H(3-2)
Prerequisite(s): Electrical Engineering 465 or 469 and 471 .

Electrical Engineering 563

Biomedical Signal Analysis

Introduction to the electrocardiogram, electroencephalogram, electromyogram, and other diagnostic signals. Computer techniques for processing and analysis of biomedical signals. Pattern classification and decision techniques for computer-aided diagnosis. Case studies from current applications and research.
Course Hours: H(3-1T-2)
Prerequisite(s): Electrical Engineering 327 .

Electrical Engineering 565

Digital Integrated Electronics

Semiconductor devices, modelling of CMOS switching, CMOS logic families, performance and comparison of logic families, interconnect, semiconductor memories, design and fabrication issues of digital IC's.
Course Hours: H(3-1T-3/2)
Prerequisite(s): Electrical Engineering 465.

Electrical Engineering 567

CMOS VLSI Engineering

Introduction to CMOS very large-scale integrated (VLSI) circuit design. Review of MOS transistor theory and operation. Introduction to CMOS circuits. CMOS processing technology and design rules. Circuit characterization and performance estimation. CMOS circuit and logic design. VLSI design methods and tools. Basic concepts of design for testability. CMOS subsystem and system design.
Course Hours: H(3-1T-3/2)
Prerequisite(s): Electrical Engineering 465 or 469 and Computer Engineering 467 .

Electrical Engineering 569

Electronics for Instrumentation

Error analysis. Component specification. Power supplies. Switched power supplies. Operational amplifier non-idealities. Noise in devices. Instrumentation and isolation amplifiers. Logarithmic principles. Multipliers, dividers. RMS to DC conversion. Voltage-to-frequency conversion. Bridge circuits.
Course Hours: H(3-1T-3/2)
Prerequisite(s): Electrical Engineering 465 or 469 .

Electrical Engineering 571

Digital Communications

Fundamentals of digital communication systems. Digital coding of analog waveforms; digital pulse modulation, pulse code modulation, delta modulation. Intersymbol interference; baseband transmission, correlative coding. Probability theory. Optimal demodulation of data transmission; matched filtering; bit error rate.
Course Hours: H(3-1T-3/2)
Prerequisite(s): Electrical Engineering 471 and Biomedical Engineering 319 , or Engineering 319 or Electrical Engineering 419 .

Electrical Engineering 573

Telecommunications and Computer Communications

Fundamentals of telecommunication system and teletraffic engineering; transmission systems; switching networks and congestions. Characterization of teletraffic; queueing theory; mathematical modelling of queueing systems; the birth and death process. Erlang loss and delay formulas; Engset loss and delay formulas. Computer communication networks; multiple access techniques.
Course Hours: H(3-1T-1)
Prerequisite(s): Biomedical Engineering 319 or Engineering 319 or Electrical Engineering 419 .

Electrical Engineering 575

Radio-frequency and Microwave Passive Circuits

Study and design of radio-frequency and microwave passive circuits such as filters, couplers, splitters, combiners, isolators, circulators; advanced transmission lines; network analysis; advanced topics.
Course Hours: H(3-1T-3/2)
Prerequisite(s): Electrical Engineering 475 .

Electrical Engineering 577

Transmission Media

Transmission lines: characterization, analog and digital transmission. Terrestrial radio: very high frequency and ultra high frequency, propagation and noise. Microwave propagation. Satellite communication. System designs; modulation requirements and error control.
Course Hours: H(3-1T-1)
Prerequisite(s): Electrical Engineering 471 and 475 .

Electrical Engineering 579

Optical Fibre Communications

Electromagnetic wave progagation and Maxwell's equations. Modal analysis of the dielectric slab waveguide together with the step-index and graded-index cylindrical optical fibre. Dispersion and attenuation. Fibre design considerations and a review of fibre chemistry and production techniques. Measurement of fibre parameters. Optical transmitters, photodetectors and receivers, modulation, multiplexing, splices and connectors. Multiterminal analog and digital network analysis and design. Optical fibre local area networks. Optical switching and integrated optics.
Course Hours: H(3-1T-3/2)
Prerequisite(s): Electrical Engineering 463 or 469 and 475 .

Electrical Engineering 581

Renewable Energy & Solid State Lighting for Human Development

Introduction to solid state lighting (SSL) and renewable energy (RE) systems. Topics include: history of lighting, illumination standards, incandescent bulbs, fluorescent tubes, White LEDs their properties and measurement; photovoltaic, wind power, hydro power, human and animal power, thermoelectric, biomass energy, biodiesel, fuel cells and SSL system design. SSL project planning and financing, environmental and social impact assessments, carbon credits and SSL system metrics for the developing world.
Course Hours: H(3-1T-3/2)
Prerequisite(s): Electrical Engineering 489 or permission of the instructor.
Antirequisite(s): Note: Credit for both Electrical Engineering 581 and 519 .39 will not be allowed.

Electrical Engineering 583

Fourth Year Computer, Electrical, and Software Engineering Team Design Project, Part A

Preliminary and detailed engineering design of a system with the emphasis on the design process as it is associated with electrical, computer and software engineering. Topics include design methodology and general design principles for engineers, and project management. The team-based design project may be sponsored by industry or the department.
Course Hours: H(2-4)
Prerequisite(s): One of the following: Electrical Engineering 107

Electrical Engineering 585

Introduction to Power Electronics

Commutation. Diode rectifiers. Fully controlled 3-phase rectifiers. Choppers, inverters, ac controllers. Single-phase switch mode converters: dc-to-dc, ac-to-dc, dc-to-ac. Circuit and state-space averaging techniques. Switching devices and magnetics.
Course Hours: H(3-2)
Prerequisite(s): Electrical Engineering 465 or 469 .

Electrical Engineering 587

Power Systems

Three-phase systems, per unit representation, power system elements and configurations, transmission system representation and performance, power flow studies, symmetrical components, fault studies, economics of power generation, transient and steady-state stability, swing equation.
Course Hours: H(3-1T-3/2)
Prerequisite(s): Electrical Engineering 489 .

Electrical Engineering 589

Fourth Year Computer, Electrical, and /Software Engineering Team Design Project, Part B

Continues upon the foundations of theory, experience and practice established in Part A.
Course Hours: H(2-4)
Prerequisite(s): Electrical Engineering 583 .
Notes: Electrical Engineering 107 , 583 and 589 are a required three-course sequence that shall be completed in the same academic year.

Electrical Engineering 591

Individual Computer, Electrical, and Software Engineering Project

This project involves individual work on an assigned Computer, Electrical or Software Engineering topic under the supervision of a faculty member. The topic would normally involve a literature review, theoretical and experimental or computer work. A final report is required which is defended and presented orally.
Course Hours: H(2-4)
Prerequisite(s): Formal approvals from the project supervisor and course coordinator(s).

Electrical Engineering 593

Digital Filters

Discrete-time systems. The Z transform and its properties. Sampling and aliasing. Input-output and state-variable representations. Recursive and nonrecursive discrete-time filter structures. Time-domain and frequency-domain analysis. Classification and design of filter transfer functions. Bilinear transform. Implementations in software and hardware. Nonideal performance, finite precision arithmetic, limit cycles, noise, dynamic range, scaling. Applications in engineering, chosen from telecommunications, audio hi-fi, television, graphics, multimedia.
Course Hours: H(3-1T-2/2)
Prerequisite(s): Electrical Engineering 327 .

Electrical Engineering 597

Power Systems Management and Electricity Markets

Power system operation and economic load dispatch, concept of marginal cost, Kuhn-Tucker's conditions of optimum, unit commitment, hydro-thermal coordination, power flow analysis, optimal power flow, probabilistic production simulation, power pools and electricity markets, market design, auction models, power system reliability, primary and聽secondary frequency control and AGC, steady-state and transient stability, power sector financing聽and investment planning.
Course Hours: H(3-1T-3/2)
Prerequisite(s): Electrical Engineering 487 or 587

Individual Computer, Electrical, and Software Engineering Project - Part B

Electrical Engineering 599

This individual project is intended for students who have completed a suitable Electrical Engineering 591 Individual Project and wish to continue the assigned research project by completing a more extensive investigation. A comprehensive written report is required which is defended and presented orally in a department seminar.
Course Hours: H(2-4)
Prerequisite(s): Electrical Engineering 591 and formal approval from the project supervisor and course coordinator(s).

Graduate Courses

Registration in all courses requires the approval of the Department of Electrical and Computer Engineering.

Electrical Engineering 601

Power System Operation

Energy transfer in power systems; real and reactive power flows; VAR compensation. Power system control, interconnected operation. Power system stability, techniques of numerical integration. Load representation, power quality. Computational paradigms for typical power system problems. Computer simulation of representative power system problems.
Course Hours: H(3-1.5)

Electrical Engineering 603

Rotating Machines

General theory of rotating machines providing a unified approach to the analysis of machine performance. General equations of induced voltage and torque. Transient performance of machines.
Course Hours: H(3-0)

Electrical Engineering 605

Research Seminar

Reports of studies of the literature or of current research. This course is compulsory for all full-time graduate students.
Course Hours: Q(1.5S-0)
NOT INCLUDED IN GPA

Electrical Engineering 607

Research Seminar

Reports of studies of the literature or of current research. This course is compulsory for all full-time graduate students.
Course Hours: Q(1.5S-0)
NOT INCLUDED IN GPA

Electrical Engineering 609

Special Topics

Designed to provide graduate students, especially at the PhD level, with the opportunity of pursuing advanced studies in particular areas under the direction of a faculty member.
Course Hours: Q(3-1)
MAY BE REPEATED FOR CREDIT

Electrical Engineering 611

Digital Systems

Introduction to digital system design for mask programmable and field programmable gate arrays. CMOS digital logic design. Flip-flop timing and metastability. Design for testability. CAD tools for digital systems design.
Course Hours: H(3-1)

Electrical Engineering 615

Nonlinear Control

Nonlinear systems; phase portraits, equilibrium points, and existence of solutions. Lyapunov stability definitions and theorems. Nonlinear control design; feedback linearization, sliding modes, adaptive control, backstepping, and approximate-adaptive control. Frequency domain stability analysis using describing functions.
Course Hours: H(3-1)
Also known as: (formerly Electrical Engineering 619 .16)

Electrical Engineering 619

Special Problems

Electrical Engineering 623

Biomedical Instrumentation

Introduction to biomedical instrumentation. The four elements of an electronic monitoring system. Errors and error handling. Instrument modelling. Sensors: Basic concepts. Conversion of different processes into voltages or currents. Introduction to biomedical amplifiers. Ideal op amp. The concept of patient protection. Differential and instrumentation amplifiers. Non-idealities in biomedical amplifiers. Noise and noise sources. Error analysis. Offsets and offset compensation. Power supplies for instrumentation circuits. Frequency characteristics of biomedical amplifiers. Frequency conditioning circuits. Active filters. Isolation amplifiers and details on patient protection. Analog-to-Digital conversion. Basic principles and conversion errors. Nyquist theorem of discretization and antialiasing requirements. Multichannel data acquisition. Real-time requirements. Real-time digital conditioning of monitored biomedical signals. The concept of closed-loop real-time control of biomedical systems.
Course Hours: H(3-1)

Electrical Engineering 625

Estimation Theory

Estimation theory as applied in communication systems, signal processing, measurement systems, geophysical systems, biomedical engineering and geomatics engineering. Estimators covered include: MVU, BLUE, LS, ML, Bayesian and MMSE. Concepts covered include: CRLB, Neyman-Fisher and Sufficient Statistics.
Course Hours: H(3-1)

Electrical Engineering 627

Antennas

Foundations of theory and practice of modern antennas. Topics covered will include: theoretical background, antenna parameters, simple radiators, antenna array theory, wire antennas, broadband antennas, microstrip antennas, aperture radiators, base station antennas, antennas for mobile communications, antenna measurements.
Course Hours: H(3-1)
Notes: Students registering in this course should have a background in electromagnetics and basic microwave engineering.

Electrical Engineering 629

Advanced Logic Design of Electronic and Nanoelectronic Devices

Two-level and multi-level logic synthesis; flexibility in logic design; multiple-valued logic for advanced technology; multi-level minimization; Binary Decision Diagrams, Word-level Decision Diagrams, sequential and combinational equivalence checking; technology mapping; technology-based transformations; logic synthesis for low power, optimizations of synchronous and asynchronous circuits, logical and physical design from a flow perspective; challenges of design of nanoelectronic devices.
Course Hours: H(3-1)

Electrical Engineering 631

System Identification and Parameter Estimation

Parametric models of linear time-invariant systems. System and noise models. Estimation of model parameters. Structure and order selection. Model validation. Convergence and sensitivity analysis. Experiment design. MIMO systems. Subspace methods. Introduction to nonlinear and/or time-varying systems.
Course Hours: H(3-1)
Prerequisite(s): Electrical Engineering 649 .

Electrical Engineering 633

Wireless Networks

Overview of the components and architectural alternatives for wireless networks. Review of existing and proposed wireless network standards (e.g. Advanced Mobile Phone System - AMPS, Digital AMPS, Interim Standard 95 - IS95, Global System for Mobile Communications - GSM, Code division Multiple Access 2000 - CDMA 2000, Universal Mobile Telecommunications System - UMTS, etc.). Discussion of wireless network communication protocols including network access control protocols, routing congestion and flow control protocols, mobility and resource management protocols. Modelling and analysis of wireless network performance in the context of voice, data and video services, making use of mathematical and simulation techniques. Outline of current and future research challenges in wireless networks.
Course Hours: H(3-1)

Electrical Engineering 639

Radio Frequency and Microwave Circuit Design

Circuit design via transmission line elements: special emphasis on microstrip circuits and effects of discontinuities (corners, Tees, and impedance steps). Analysis of passive impedance matching and filtering circuits using distributed and lumped elements. Narrow band matching and wide band matching techniques as well as wide band matching to a complex load. One and two port small signal amplifiers. Scattering parameter design methods: amplifier gain, input and output matching and stability. Computer aided design methods and broadband design methods. Large signal transistor amplifiers: device nonlinearities and design methodologies.
Course Hours: H(3-1)

Electrical Engineering 643

Fibre Optics Transmission

Fundamental theory of cylindrical optical waveguides by way of Maxwell's equation and the modal analysis of the slab waveguides, step-index and graded-index fibres, review of fibre chemistry and production techniques. Problem areas relating to measurement of fibre parameters. Optical transmitters, photodetectors and receivers, modulation and multiplexing techniques, splices and connectors. Multiterminal analog and digital system analysis and design. Optical switching and amplification, integrated optics.
Course Hours: H(3-1)

Electrical Engineering 645

Data Mining and Knowledge Discovery

Types of data mining: classification, clustering, association, prediction. Processes: data preparation, model building. Techniques: decision tree, neural network, evolutionary computing, Bayesian network. Applications: multi-media, text and web mining.
Course Hours: H(3-1)
Also known as: (formerly Electrical Engineering 619 .51)

Electrical Engineering 647

Analog Integrated Circuit Design

Review of static and dynamic models of bipolar and field effect transistors. Basics of analog integrated circuit design. Computer-aided modelling. Fabrication processes and their influence on analog design. Operational voltage amplifier and transconductance amplifier design techniques. Case studies of bipolar and complementary metal oxide semiconductor (CMOS) designs. CMOS analog integrated circuit design project.
Course Hours: H(3-1)

Electrical Engineering 649

Random Variables and Stochastic Processes

Axiomatic view of probability; continuous and discrete random variables; expectation; functions of random variables; conditional distributions and expectations; stochastic processes; stationarity and ergodicity; correlation and power spectrum; renewal processes and Markov chains; Markov and non-Markovian processes in continuous time.
Course Hours: H(3-1)
Also known as: (formerly Electrical Engineering 619 .22)

Electrical Engineering 651

Resource Management for Wireless Networks

Qualitative and mathematical formulation of the resource management problem in wireless networks; elements of radio resource management: power and Walsh code allocation and control. Call admission control, traffic load control, packet scheduling; radio resource management algorithms: fixed resource allocation, handover resource management, transmitter power management, dynamic resource allocation, and packet scheduling algorithms; quality-of-service (QoS) and resource management; joint radio resource management problem across heterogeneous wireless networks; applications and case studies: resource management in third generation (3G) and beyond 3G wireless Internet Protocol (IP) networks; open research challenges in resource management for wireless networks.
Course Hours: H(3-1)
Also known as: (formerly Electrical Engineering 619 .04)

Electrical Engineering 653

Theory & Practice Advanced DSP Processor Architecture

Architecture and capabilities of SISD, SIMD and VLIW processors; Developing high speed algorithms: code timing, reliability, background DMA activity, maintainability; Developing a personal software process appropriate for embedded systems.
Course Hours: H(3-1)
Also known as: (formerly Electrical Engineering 619 .23)

Electrical Engineering 655

Discrete Time Signal Processing

Discrete-time signals and systems, discrete-time Fourier transform and Fourier series, discrete-time random signals, linear time-invariant systems. Sampling of continuous-time signals, decimation and interpolation. Fundamentals of multirate systems, special filters and filter banks. The z-transform, transform analysis of linear time-invariant systems. Structures for discrete-time systems, FIR and IIR structures, finite-precision arithmetic effects. Filter design techniques. The discrete Fourier transform. Discrete Hilbert transforms.
Course Hours: H(3-1)

Electrical Engineering 657

Detection of Signals in Noise

Detection of distorted and noise corrupted deterministic and random signals. Application to optimum statistical signal processing algorithms in data communications, GPS, radar, synchronization and image processing.
Course Hours: H(3-1)
Prerequisite(s): At least one of Electrical Engineering 675 , 649 , or 625 or permission of the instructor.
Also known as: (formerly Electrical Engineering 619 .73)

Electrical Engineering 659

Active-RC and Switched-Capacitor Filter Design

The filter design problem; operational amplifier characteristics; cascade methods of RC-active filter design; filter design with the active biquad; active filter design based on a lossless ladder prototype. Switched-capacitor (SC) integrators; design of cascade, ladder, and multiple feedback SC filters; nonideal effects in SC filters; scaling of SC filters; topics in fabrication of SC filters.
Course Hours: H(3-1)

Electrical Engineering 661

Grid-Connected Inverters for Alternative Energy Systems

Analysis and design of grid-connected inverters fed by an alternative energy source. Switch mode converters, inverter topologies, harmonics, drive electronics, control methodologies, implementation techniques, course project.
Course Hours: H(3-1)
Also known as: (formerly Electrical Engineering 619 .18)

Electrical Engineering 663

Numerical Electromagnetic Field Computation

Solution techniques for electromagnetic fields: finite difference, finite elements/volumes, boundary elements, finite difference time domain, and moment methods. Practical aspects concerning computer implementation: accuracy, speed, memory, and solvers.
Course Hours: H(3-1)
Also known as: (formerly Electrical Engineering 619 .09)

Electrical Engineering 665

Bioelectromagnetism

Generation, transmission, and measurement of electromagnetic events generated by excitable cells (heart, brain, muscle). Topics cover the scale from membrane and cell dynamics to tissue behaviour and body surface recordings.
Course Hours: H(3-1)
Also known as: (formerly Electrical Engineering 619 .21)

Electrical Engineering 667

Intelligent Control

Application of machine learning algorithms in control systems: neural networks, fuzzy logic, the cerebellar model arithmetic computer, genetic algorithms; stability of learning algorithms in closed-loop nonlinear control applications.
Course Hours: H(3-1)
Prerequisite(s): At least one undergraduate level course in control systems.
Also known as: (formerly Electrical Engineering 619 .25)

Electrical Engineering 669

Renewable Energy and Solid State Lighting for the Developing World

History of Lighting, Illumination Measurements & Standards - Incandescent, Fluorescent, LEDs & OLEDs. Generation using Hydro, Solar, Photovoltaic, Wind, Thermoelectric, Biomass, Thermal. Energy Storage & Supply Chains. System Design, Analysis & Life Cycle Assessment. Kyoto Protocol, Carbon Credits and Trading.
Course Hours: H(3-1)
Also known as: (formerly Electrical Engineering 619 .52)

Electrical Engineering 671

Adaptive Signal Processing

Fundamentals: Performance objectives, optimal filtering and estimation, the Wiener solution, orthogonality principle. Adaptation algorithms: MSE performance surface, gradient search methods, the Widrow-Hoff LMS algorithm, convergence speed and misadjustment. Advanced techniques: recursive least-squares algorithms, gradient and least-squares multiple filter, frequency domain algorithms, adaptive pole-zero filters. Applications: system identification, channel equalization, echo cancellation, linear prediction, noise cancellation, speech.
Course Hours: H(3-1)

Electrical Engineering 673

Wireless Communications Engineering

The basics of mobile radio telephone: mobile telephone frequency channels, components of mobile radio, objectives of mobile telephone systems, major problems and tools available. The mobile radio environment: fading and propagation loss, propagation loss prediction, channel and signal models, fading statistics, classification of fading channels. Methods of reducing fading effects: diversity techniques and diversity combining methods. Signaling over fading channels. Frequency reuse schemes: cellular concept, mobile radio interference, FDMA, TDMA, and spread spectrum techniques. Portable systems, air-to-ground systems, and land mobile/satellite systems, processing.
Course Hours: H(3-1)
Prerequisite(s): Electrical Engineering 571 or equivalent.

Electrical Engineering 675

Digital Communications

Physical layer design of digital communications systems. Linear modulation techniques are using signal space concepts. Demodulator and detector design, optimal detection rules for recovering digital information from a noisy signal. Pulse shaping using the Nyquist criterion and practical pulse shaping filters, linear equalizer design for dispersive channels, optimal detection of sequences with memory, Viterbi algorithm, error correction using channel codes.
Course Hours: H(3-1)
Prerequisite(s): Electrical Engineering 649 or permission of the instructor.

Electrical Engineering 677

Information Theory Applied to Digital Communications

Understanding of the digital communication link in a noisy channel with distortion. Fundamentals of information theory applicable to the statistical signal processing of digital communication receivers, presented in depth that will provide insights into optimum receiver architecture, processing and error coding. Capacity analysis of SISO and MIMO multiple antenna communication systems as well as other forms of diversity, derived within the framework of information theory.
Course Hours: H(3-1)
Prerequisite(s): Electrical Engineering 675 or equivalent.

Electrical Engineering 679

Digital Video Processing

Fundamentals of digital video representation, filtering and compression, including popular algorithms for 2-D and 3-D motion estimation, object tracking, frame rate conversion, delinterlacing, image enhancement, and the emerging international standards for image and video compression, with such applications as digital TV, web-based multimedia, videoconferencing, videophone and mobile image communications.
Course Hours: H(3-1)
Prerequisite(s): At least one undergraduate level course in Signal Processing.
Also known as: (formerly Electrical Engineering 619 .60)

Electrical Engineering 681

VLSI and SOC

Timing and power models; Issues in BIST for SOC; System and Circuit Optimization for SOC applications using compiler techniques; System-on-a-chip design methodology; Topics in Architectural low-power techniques; Design methodology for embedded architectures; Advanced architectures for image/video/speech/audio/internet/wireless applications; Topics in algorithm/architecture design under timing and throughput constraints.
Course Hours: H(3-1)
Prerequisite(s): At least one undergraduate level course in Microelectronics or VLSI.
Also known as: (formerly Electrical Engineering 619 .76 and 619 .82)

Electrical Engineering 683

Algorithms for VLSI Physical Design Automation

Aspects of physical design including: VLSI design cycle, fabrication processes for VLSI devices, basic data structures and algorithms, partitioning, floor planning, placement and routing.
Course Hours: H(3-1)
Also known as: (formerly Electrical Engineering 619 .19)

Electrical Engineering 687

Switch Mode Power Converters

Design and analysis of dc-to-dc and ac-to-ac single-phase power converters. Device characteristics. Dc-to-dc topologies, dc-to-ac topologies and ac-to-ac topologies. Linearized models. Classical feedback control; introduction to state-space analysis methods. Input harmonic analysis, output harmonic analysis, and techniques to obtain unity input power factory.
Course Hours: H(3-1)

Electrical Engineering 697

Digital Image Processing

Image formation and visual perceptual processing. Digital image representation. Two dimensional Fourier transform analysis. Image enhancement and restoration. Selected topics from: image reconstruction from projections; image segmentation and analysis; image coding for data compression and transmission; introduction to image understanding and computer vision. Case studies from current applications and research.
Course Hours: H(3-1)
Prerequisite(s): Electrical Engineering 327 or equivalent.

Electrical Engineering 698

Graduate Project

Individual project in the student's area of specialization under the guidance of the student's supervisor. A written proposal, one or more written progress reports, and a final written report are required. An oral presentation is required upon completion of the course.
Course Hours: F(0-4)
Notes: Open only to students in the MEng Courses Only Route.

Electrical Engineering 699

Multidimensional Signal Processing

Characterization of multidimensional (MD) signals, the MD Laplace, Fourier and Z transforms. Practical analog and digital signals and their MD energy density spectra. Aliasing, convolution, boundary conditions, causality, and stability in MD. Characterization of linear shift-invariant systems using MD transform transfer functions. State variable representations of MD systems. Elementary decompositions of MD transfer functions and bounded-input bounded-output stability. Design and implementation of MD digital filters. Applications of MD signal processing in engineering systems. Two- and three-dimensional digital signal processing in seismic, sonar, imaging and broadcast television.
Course Hours: H(3-1)

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