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Instruction offered by members of the Department of Electrical and Computer Engineering in the Schulich School of Engineering.
Department Head – D. Westwick
Associate Heads – M. Potter
Director of Undergraduate Program for Electrical and Computer Engineering – N. Bartley
Director of Undergraduate Program for Software Engineering – D. Krishnamurthy
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Electrical Engineering
101
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Computing Tools
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Introduction to computing tools in Electrical engineering. Basic data input/output and arithmetic operations; matrix variables; interpreted programming scripts and data management; plotting; functions. Applications in numerical methods and analysis.
Course Hours:
Q(16 hours)
Prerequisite(s):
Engineering 233.
NOT INCLUDED IN GPA
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Electrical Engineering
300
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Electrical and Computer Engineering Professional Skills
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Introduction to the electrical and computer engineering profession, fundamentals of electrical and computer engineering design, testing, and product development; critical thinking and problem solving skills development; electrical engineering standards, regulatory issues, intellectual property protection, research methods, project management, identifying market needs and commercialization considerations. Case studies and projects may be drawn from a range of electrical and computer engineering areas.
Course Hours:
H(2-3)
Prerequisite(s):
Engineering 225, Engineering 233 and Electrical Engineering 353.
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Electrical Engineering
327
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Signals and Transforms
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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):
Mathematics 375 or Applied Mathematics 307.
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Electrical Engineering
343
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Circuits II
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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):
Mathematics 375 or Applied Mathematics 307 and Engineering 225.
Corequisite(s):
Electrical Engineering 327.
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Electrical Engineering
353
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Digital Circuits
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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):
Credit for both Electrical Engineering 353 and Computer Science 321 will not be allowed.
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Electrical Engineering
361
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Electronic Devices and Materials
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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):
Engineering 225 and Mathematics 277 or Applied Mathematics 219.
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Electrical Engineering
419
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Probability and Random Variables
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Expressing engineering data and systems in terms of probability, introduction to probability theory, discrete and continuous random variables, functions of random variables, goodness-of-fit testing hypothesis testing and stochastic processes. Applications chosen from electrical engineering.
Course Hours:
H(3-1.5T)
Prerequisite(s):
Electrical Engineering 327.
Antirequisite(s):
Credit for more than one of Electrical Engineering 419, Engineering 319 and Biomedical Engineering 319 will not be allowed.
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Electrical Engineering
441
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Control Systems I
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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.
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Electrical Engineering
453
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Digital Systems Design
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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 and Engineering 225.
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Electrical Engineering
469
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Analog Electronic Circuits
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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.
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Electrical Engineering
471
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Introduction to Communications Systems and Networks
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Introduction to communications systems and networks. Analog communications concepts including filtering and analog modulation. Sampling and digital communications concepts including binary baseband/passband modulation, matched filtering and detection. Telecommunications and data network fundamentals including network protocol architectures, design and performance.
Course Hours:
H(3-1T-3/2)
Prerequisite(s):
Electrical Engineering 327.
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Electrical Engineering
475
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Electromagnetic Fields and Applications
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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(3-2T)
Prerequisite(s):
Physics 259 and Mathematics 375 or Applied Mathematics 307.
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Electrical Engineering
476
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Electromagnetic Waves and Applications
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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.
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Electrical Engineering
487
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Electrical Engineering Energy Systems
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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):
Engineering 225.
Antirequisite(s):
Credit for both Electrical Engineering 487 and 387 will not be allowed.
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Electrical Engineering
489
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Modelling and Control of Electric Machines and Drives
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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):
Engineering 225.
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Electrical Engineering
503
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Computer Vision
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Introduction to the fundamentals of computer vision. Video signal acquisition and representation; filtering and compression; motion detection and estimation; object tracking and detection.
Course Hours:
H(3-2)
Prerequisite(s):
Electrical Engineering 327 and Computer Engineering 339.
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Electrical Engineering
519
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Special Topics in Electrical Engineering
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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
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Electrical Engineering
525
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Neuro-Fuzzy and Soft Computing
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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.
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Electrical Engineering
529
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Wireless Communications Systems
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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-2)
Prerequisite(s):
Electrical Engineering 471 and one of Engineering 319 or Electrical Engineering 419.
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Electrical Engineering
541
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Control Systems II
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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.
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Electrical Engineering
559
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Analog Filter Design
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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(3-2/2)
Prerequisite(s):
Electrical Engineering 469 and 471.
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Electrical Engineering 562
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Photovoltaic Systems Engineering
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Prospect of photovoltaics in Canada; solar radiation; fudamentals of solar cell; photovoltaic system design; grid connected photovoltaic systems; mechanical and environmental considerations.
Course Hours:
H(3-0)
Prerequisite(s):
Electrical Engineering 361 or equivalent.
Antirequisite(s):
Credit for both Electrical Engineering 562 and 519.07 will not be allowed.
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Electrical Engineering
563
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Biomedical Signal Analysis
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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(3-2)
Prerequisite(s):
Electrical Engineering 327.
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Electrical Engineering
565
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Digital Integrated Electronics
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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-2/2)
Prerequisite(s):
Computer Engineering 467.
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Electrical Engineering
567
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CMOS Analog Circuit Design
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Introduction to CMOS very large-scale integrated (VLSI) circuit design. Review of MOS transistor theory and operation. Introduction to CMOS circuits. CMOS processing, VLSI design methods and tools. CMOS subsystem and system design for linear integrated circuits.
Course Hours:
H(3-2/2)
Prerequisite(s):
Electrical Engineering 469 and Computer Engineering 467.
Antirequisite(s):
Credit for both Electrical Engineering 567 and 519.47 will not be allowed.
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Electrical Engineering
569
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Electronic Systems and Applications
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Introduction to electronic systems; the four elements of electronic monitoring systems; system modelling; sensors; amplifiers; noise characterization; power supplies; frequency conditioning; active filters; analog to digital conversion and anti-aliasing requirements; multichannel data acquisition; real-time conditioning of signals; real-time control.
Course Hours:
H(3-1T-3/2)
Prerequisite(s):
Electrical Engineering 469.
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Electrical Engineering
571
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Digital Communications
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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(4-1.5/2)
Prerequisite(s):
Electrical Engineering 471 and one of Engineering 319 or Electrical Engineering 419.
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Electrical Engineering
573
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Telecommunications and Computer Communications
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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):
Engineering 319 or Electrical Engineering 419.
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Electrical Engineering
574
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Microwave Transistor Amplifiers and Oscillators
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Theory and design of microwave transistor amplifiers and oscillators for wireless and satellite communications applications. Modelling and analysis of lumped and distributed RF networks, Analysis and design of passive structures and impedance matching networks, Perform power, noise and distortion calculations for communications systems, Analysis and design of small signal amplifiers and low noise and balanced amplifiers. Prototyping using printed circuit board technology, introduction to Computer Aided Design (CAD) tools and Computer Aided Testing Equipment.
Course Hours:
H(3-2/2)
Prerequisite(s):
Electrical Engineering 343 and 475.
Antirequisite(s):
Credit for both Electrical Engineering 574 and 519.49 will not be allowed.
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Electrical Engineering
575
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Radio-frequency and Microwave Passive Circuits
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Study and design of radio-frequency and microwave passive circuits such as filters, couplers, splitters, combiners, isolators, circulators; advanced transmission lines; antenna fundamentals; network analysis; advanced topics.
Course Hours:
H(3-1T-3/2)
Prerequisite(s):
Electrical Engineering 476.
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Electrical Engineering
583
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Fourth Year Computer, Electrical, and Software Engineering Team Design Project, Part A
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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):
Fourth year standing or above.
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Electrical Engineering
585
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Introduction to Power Electronics
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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(3-2/2)
Prerequisite(s):
Electrical Engineering 469.
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Electrical Engineering
587
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Power Systems
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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 487 or 489.
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Electrical Engineering
589
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Fourth Year Computer, Electrical, and Software Engineering Team Design Project, Part B
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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 583 and 589 are a required two-course sequence that shall be completed in the same academic year.
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Electrical Engineering
591
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Individual Computer, Electrical, and Software Engineering Design Project
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This project involves individual work on an assigned Computer, Electrical or Software Engineering design project under the supervision of a faculty member. The project will normally involve following an established design process. Engineering Communications, including written reports, logbooks and oral presentations.
Course Hours:
H(0-6)
Prerequisite(s):
Formal approvals from the project supervisor and course co-ordinator(s).
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Electrical Engineering
592
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Undergraduate Research Thesis
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A directed studies research project in an area of interest, directed by a project advisor/faculty member. Includes an independent student component covering the scientific process, ethics, review of literature, and writing scientific proposals and manuscripts. Projects may involve experimental, analytical or computer modelling studies.
Course Hours:
H(0-6)
Prerequisite(s):
Formal approvals from the project supervisor and course co-ordinator(s).
Notes:
Only open to undergraduate students in the Electrical, Computer and Software Engineering majors.
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Electrical Engineering
593
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Digital Filters
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Recursive and non-recursive systems. Time-domain and frequency-domain analysis. Z-transform, bilinear transform and spectral transformations. Filter structures and non-ideal performance.
Course Hours:
H(3-1T-2/2)
Prerequisite(s):
Electrical Engineering 327.
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Electrical Engineering 594
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Undergraduate Research Thesis - Part B
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A directed studies research project intended for students who have completed a suitable Electrical Engineering 592 project and wish to continue the assigned project by completing a more extensive investigation. The course culminates with a written thesis and presentation. Projects may involve experimental, analytic and computer modelling studies.
Course Hours:
H(0-6)
Prerequisite(s):
Electrical Engineering 592 and formal approval from the project supervisor and course co-ordinator(s).
Notes:
Only open to undergraduate students in the Electrical, Computer & Software Engineering majors.
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Electrical Engineering
597
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Power Systems Operation and Markets
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Power system operation and economic load dispatch, concept of marginal cost, Kuhn-Tucker's conditions of optimum, unit commitment, hydrothermal co-ordination, power flow analysis, optimal power flow, probabilistic production simulation, power pools and electricity markets, market design, auction models, power system reliability, primary and secondary frequency control and AGC, steady-state and transient stability, power sector financing and investment planning.
Course Hours:
H(3-1T-3/2)
Prerequisite(s):
Electrical Engineering 487, 489 or 587.
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Electrical Engineering
599
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Individual Computer, Electrical, and Software Engineering Design Project - Part B
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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 project. The project will normally involve following an established design process. Engineering Communications, including written reports, logbooks, and oral presentations.
Course Hours:
H(0-6)
Prerequisite(s):
Electrical Engineering 591 and formal approval from the project supervisor and course co-ordinator(s).
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Graduate Courses
Registration in all courses requires the approval of the Department of Electrical and Computer Engineering.
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Electrical Engineering
601
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Power System Operation
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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)
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Electrical Engineering
603
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Rotating Machines
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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)
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Electrical Engineering
605
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Research Seminar
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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
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Electrical Engineering
607
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Research Seminar
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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
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Electrical Engineering
609
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Special Topics
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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
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Electrical Engineering
611
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Digital Systems
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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)
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Electrical Engineering
613
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RF Power Amplifiers and Transmitters
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This is an advanced level graduate course, dealing with the theory, design and optimization of RF power amplification systems for wireless and satellite communication applications. The course provides a details treatment of linear and non-linear characterization and modelling of amplifiers/transmitters from device to system level perspective. Theory of operation as well as design techniques of linear amplifiers (class A, AB, B, C), switching mode amplifiers (class E, D and F) and balanced amplifiers are presented. Linearization and power efficiency enhancements techniques of power amplifiers/transmitters are also covered.
Course Hours:
H(3-0)
Prerequisite(s):
Electrical Engineering 574 or equivalent, or consent of the instructor.
Antirequisite(s):
Credit for both Electrical Engineering 613 and 619.22 will not be allowed.
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Electrical Engineering
615
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Non-linear Control
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Non-linear systems; phase portraits, equilibrium points, and existence of solutions. Lyapunov stability definitions and theorems. Non-linear 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)
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Electrical Engineering
617
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RF Integrated Circuit Design
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Introduction to complementary metal oxide semiconductor (CMOS) wireless communication circuits; computer-aided design; impedance matching concepts; passive circuit elements in monolithic circuits; radio frequency integrated circuit building blocks.
Course Hours:
H(3-0)
Prerequisite(s):
Electrical Engineering 567 or 647.
Antirequisite(s):
Credit for both Electrical Engineering 617 and 619.31 will not be allowed.
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Electrical Engineering
619
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Special Problems
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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:
H(3-1)
MAY BE REPEATED FOR CREDIT
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Electrical Engineering
623
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Biomedical Systems and Applications
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Introduction to biomedical systems. The four elements of a biomedical monitoring system. Biomedical system modelling. Biomedical sensors: basic concepts. Biomedical amplifiers and signal conditioning circuits. Noise, noise sources and non-idealities. Repeatability of measurements. Power supplies for biomedical monitoring systems. Frequency conditioning. Isolation amplifiers and patient safety. Analog-to-Digital conversion and anti-aliasing requirements. Multichannel biomedical data acquisition. Real-time requirements. Real-time digital conditioning of biomedical signals. The concept of closed-loop real-time control.
Course Hours:
H(3-1)
Prerequisite(s):
Consent of the Department.
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Electrical Engineering
625
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Estimation Theory
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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)
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Electrical Engineering
627
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Antennas
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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.
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Electrical Engineering
629
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Advanced Logic Design of Electronic and Nanoelectronic Devices
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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)
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Electrical Engineering
631
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System Identification and Parameter Estimation
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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 non-linear and/or time-varying systems.
Course Hours:
H(3-1)
Prerequisite(s):
Electrical Engineering 649.
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Electrical Engineering
633
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Wireless Networks
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Wireless networks’ architectures and standards. Wireless 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. Current and future research challenges in wireless networks.
Course Hours:
H(3-0)
Notes:
A senior undergraduate course in wireless communications is suggested as preparation for this course.
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Electrical Engineering
635
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Cryptography and Number Theory with Applications
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The topic of the course is to provide the students with vital information about the use of number theory in designing and implementing various public key cryptographic schemes. We will stress on the efficacy of the algorithms used and their application in areas outside cryptography and coding theory.
Course Hours:
H(3-1)
Antirequisite(s):
Credit for Electrical Engineering 635 and 619.87 will not be allowed.
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Electrical Engineering
637
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Arithmetic Techniques with DSP Applications
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The course is aimed at the use of specific computer arithmetic techniques for efficient design of DSP algorithms. We will provide comprehensive information form the theory of computer arithmetic. We will show how the performance of different algorithms can be optimized by using efficient arithmetic techniques. Many examples will be provided.
Course Hours:
H(3-1)
Antirequisite(s):
Credit for both Electrical Engineering 637 and 619.88 will not be allowed.
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Electrical Engineering
639
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Radio Frequency and Microwave Circuit Design
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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 non-linearities and design methodologies.
Course Hours:
H(3-1)
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Electrical Engineering 641
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Optimization for Engineers
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Introduction to optimization techniques for solving engineering problems. Modelling engineering problems as optimization problems. Recognizing and solving convex sets, functions and optimization problems. Numerical linear algebra including; matrix structure, algorithm complexity, LU factorization. Unconstrained optimization methodology and engineering applications. Constrained optimization techniques and engineering applications.
Course Hours:
H(3-0)
Prerequisite(s):
Engineering 407 or consent of the instructor
Antirequisite(s):
Credit for both Electrical Engineering 641 and 619.05 will not be allowed.
Also known as:
(formerly Electrical Engineering 619.05)
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Electrical Engineering
643
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Fibre Optics Transmission
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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)
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Electrical Engineering
645
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Data Mining and Knowledge Discovery
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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)
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Electrical Engineering
647
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Analog Integrated Circuit Design
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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(3-0)
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Electrical Engineering
649
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Random Variables and Stochastic Processes
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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)
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Electrical Engineering
651
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Resource Management for Wireless Networks
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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)
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Electrical Engineering
653
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Theory and Practice Advanced DSP Processor Architecture
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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(3-1T-3/2)
Also known as:
(formerly Electrical Engineering 619.23)
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Electrical Engineering
655
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Discrete Time Signal Processing
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Foundations of discrete time signal processing of deterministic and stochastic signals. Transform analysis: Laplace, Fourier, discrete time Fourier, Z transform, DFT/FFT and Hilbert. Time sampled signals, mixed digital/analog LTI system design and analysis with practical DSP implementations. Fundamentals of FIR/IIR/multirate DSP filter implementation and analysis. Application of DSP in communications receiver, audio, image and video processing.
Course Hours:
H(3-1)
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Electrical Engineering
657
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Detection of Signals in Noise
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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 consent of the instructor.
Also known as:
(formerly Electrical Engineering 619.73)
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Electrical Engineering
659
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Active-RC and Switched-Capacitor Filter Design
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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; non-ideal effects in SC filters; scaling of SC filters; topics in fabrication of SC filters.
Course Hours:
H(3-1)
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Electrical Engineering
661
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Grid-Connected Inverters for Alternative Energy Systems
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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)
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Electrical Engineering
663
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Numerical Electromagnetic Field Computation
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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)
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Electrical Engineering
665
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Bioelectromagnetism
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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)
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Electrical Engineering
667
|
Intelligent Control
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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 non-linear 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)
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Electrical Engineering
669
|
Renewable Energy and Solid State Lighting for the Developing World
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History of Lighting, Illumination Measurements and Standards - Incandescent, Fluorescent, LEDs and OLEDs. Generation using Hydro, Solar, Photovoltaic, Wind, Thermoelectric, Biomass, Thermal. Energy Storage and Supply Chains. System Design, Analysis and Life Cycle Assessment. Kyoto Protocol, Carbon Credits and Trading.
Course Hours:
H(3-1)
Also known as:
(formerly Electrical Engineering 619.52)
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Electrical Engineering
671
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Adaptive Signal Processing
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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)
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Electrical Engineering
673
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Wireless Communications Engineering
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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.
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Electrical Engineering
675
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Digital Communications
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Physical layer digital communications. Linear modulation and demodulation using signal space concepts. Optimal and sub-optimal detection of symbols and sequences. Pulse shaping and spectral analysis. Wireless propagation and system design. Error correction using channel codes. Advanced techniques for high speed communications.
Course Hours:
H(3-1)
Prerequisite(s):
Electrical Engineering 571 or equivalent.
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Electrical Engineering
677
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Information Theory Applied to Digital Communications
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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.
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Electrical Engineering
679
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Digital Video Processing
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Fundamentals of digital video representation, filtering and compression, including popular algorithms for 2-D and 3-D motion estimation, object tracking, frame rate conversion, deinterlacing, 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)
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Electrical Engineering
681
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VLSI and SOC
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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)
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Electrical Engineering
683
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Algorithms for VLSI Physical Design Automation
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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)
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Electrical Engineering 685
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Software Defined Radio Systems
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Advanced design aspects related to the design of Software Defined Radio (SDR) systems applicable to wireless and satellite communication systems. System level modelling and baseband design aspects of SDR systems. Transmitter and receiver architectures appropriate for SDR transceivers. Multi-band transmitters, sub-sampling receivers and six-port based receivers. Design strategies and calibration techniques for SDR systems.
Course Hours:
H(3-0)
Prerequisite(s):
Electrical Engineering 574 or equivalent, or the consent of the instructor.
Antirequisite(s):
Credit for both Electrical Engineering 641 and 619.64 will not be allowed.
Also known as:
(formerly Electrical Engineering 619.64)
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Electrical Engineering
687
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Switch Mode Power Converters
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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)
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Electrical Engineering
691
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Integrated Micro and Nanotechnology Sensory Systems
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Integrated circuits for sensing. The physical process of sensing photons and ions. The circuitry of signal amplification. Considerations for integrated circuit implementation. Solid state sensors and development in CMOS technology. Analog to Digital conversion in sensory arrays. Technology scaling and impact. Low voltage and implications regarding signal processing. Other types of sensors such as pH sensing. MEMS technology and applications. Integrated Light sources. System examples.
Course Hours:
H(3-0)
Antirequisite(s):
Credit for both Electrical Engineering 691 and 619.26 will not be allowed.
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Electrical Engineering
693
|
Restructured Electricity Markets
|
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Market design and auction mechanisms, role of independent system operator (ISO) in different markets, generation scheduling in deregulation, transmission operation and pricing. Transmission rights, procurement and pricing ancillary services, system security in deregulation, and resource management in a market environment.
Course Hours:
H(3-0)
Antirequisite(s):
Credit for both Electrical Engineering 693 and 619.98 will not be allowed.
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Electrical Engineering
695
|
Applied Mathematics for Electrical Engineers
|
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Understanding of vector spaces and function spaces; eigenvalues and eigenvectors in both the linear algebraic and differential equation sense; special functions in mathematics; advanced methods for solutions of differential equations.
Course Hours:
H(3-1T)
Prerequisite(s):
Electrical Engineering 327 or equivalent.
Antirequisite(s):
Credit for both Electrical Engineering 695 and either of 519.42 or 619.95 will not be allowed.
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Electrical Engineering
697
|
Digital Image Processing
|
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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.
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Electrical Engineering
698
|
Graduate Project
|
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Individual project in the student's area of specialization under the guidance of the student's supervisor.
Course Hours:
F(0-4)
Notes:
Open only to students in the MEng Courses Only Route.
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Electrical Engineering
699
|
Multidimensional Signal Processing
|
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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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COURSES OF INSTRUCTION