Course Listing

3 unit(s)
Staff (cross-listed as BIOMED 6BC4)

Introduction to mathematical and engineering methods for describing and predicting the behaviour of biological systems; including sensory receptors, neuromuscular and biomechanical systems; statistical models of biological function; kinetic models of biological thermo-dynamics.

3 unit(s)
Staff

Generation and nature of bioelectric potentials; electrodes and other transducers; principles of instrumentation; electrical safety; neuromuscular and cardiovascular instrumentation; ultrasonics and other medical imaging.

4 unit(s)
Design of linear control systems using classical and state-space techniques; performance limitation; sampled-data control; nonlinear systems; multi-input multi-output control systems.

3 unit(s)
Staff

Introduction to switching and communication networks; packet switching; shared media access and LANs; error control; network layer operation and the Internet; ISDN: wireless networks; performance and simulation.

3 unit(s)
Staff

Overview of CISC/RISC microprocessors and their evolution; performance metrics; instruction set design; microprogramming and hardwired control; processor and memory acceleration techniques; memory hierarchies; multiprocessor structures and their performance.

4 unit(s)
Advanced internet protocols; routing, security, encryption; quality of service; ATM, RSVP, video and voice over IP; terminals, gateways and gatekeepers; wireless networks, WDM systems; optical crossconnects.

3 unit(s)
Staff

Embedded processor architectures and SOC organization; EDA tools for hardware/software codesign, co-verification and testability; Interfacing; Co-processors, soft processors and ASIP design; Real-time systems; Applications.

4 unit(s)
Staff

CMOS and MOSFET integrated circuit design; fabrication and layout, simulation; digital and analog circuit blocks; computer aided design and analysis; testing and verification.

3 unit(s)
Staff

Power circuits with switches; basic rectifier circuits; commutation; choppers; inverters; harmonic suppression techniques; generation and control of rotating fields; variable speed drives; system design.

3 unit(s)
Staff

Elements of generation, transmission, and distribution systems; system wide-energy flow and control; modeling and simulation; economics and management; fault prediction and management.

4 unit(s)
Analysis of unsymmetrical electrical systems, load flow studies, dynamic stability of electrical power systems, power system protection, emerging systems and issues relating to electrical power quality and the impact thereof on plant and customer loads, new generation and connection concepts for large electrical power systems with regard to sustainable energy resources, their management, technical challenges and solutions, high voltage DC (HVDC networks, Smart grids.

3 unit(s)
Staff

A/D conversion; digital modulation; frequency hopping; code-division multiplexing; matched filters; equalization; optimal receiver design; entropy; coding; data compression; capacity of band-limited Gaussian channel.

3 unit(s)
Staff

Classical filter theory; DFT and FFT; FIR and IIR digital filters; effects of finite precision; implementation of DSP-based systems; adaptive filtering; signal compression.

3 unit(s)
Staff

This course continues the study of modern communication systems following ECE 6TK4. Topics include wireless communication systems, multiple antenna systems, channel models and error control coding.

3 unit(s)
Staff (cross-listed as BIOMED 6TN3)

Digital image formation and representation; filtering, enhancement and restoration; edge detection; discrete image transforms; encoding and compression; segmentation; recognition and interpretation; 3D imagery; applications.

3 unit(s)
various ECE professors

The goal of the project will be agreed upon by the instructor and the student at the beginning of the term. At the conclusion of the course, the candidate is required to submit a report on the approved project which must demonstrate the ability to carry out independent study and reach a satisfactory conclusion. The candidate is also required to register for the seminar course ECE 790 to present their project report.

3 unit(s)

This course is on the survey of a number of mathematical methods of importance in engineering modeling and analysis. The course coversorthogonal function expansions, Fourier series, discrete and continuous Fourier transforms, generalized functions and sampling theory, complex variables, functions and complex integration, Laplace, Z, and Hilbert transforms. Also includes computational Fourier analysis, applications to linear systems, waves, and signal processing and differential or partial differential equations.

3 unit(s)
D. Zhao

Topics in this course cover Markov chain, Poisson processes, Continuous-time Markov chain, Stationary processes, Convergence concepts; as well as a review of probability and conditional probability, random variables, and probability density function.

3 unit(s)
J. K. Zhang

The course provides an in-depth coverage of modern communication theory and technologies. The material is fundamental to the understanding, design and analysis of digital communication systems. The course is intended for students either wishing to major in digital communication, wireless communication or interested to learn the basic principles and technologies used in today’s digital communication systems.

3 unit(s)

The course is an introduction in parallel algorithm design and programming techniques for massive arrays of processing units available on modern GPU. The course will introduce the students to GPU computing architectures provided by NVIDIA and ATI. This is a hands-on course; each student will complete a short project involving the design, implementation, testing, and performance evaluation of an algorithm on a GPU.

3 unit(s)
T. Davidson, T. Kirubarajan (cross-listed as CSE 710)

Concentrates on recognizing and solving convex optimization problems that arise in engineering. Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semi-definite programming, minimax, extremal volume, and other problems. Localization methods. Optimality conditions, duality theory, theorems of alternative, and applications. Interior-point methods. Applications to signal processing, control, circuit design, computational geometry, statistics, and mechanical engineering. The prerequisites are - a good knowledge of linear algebra and willingness to program in Matlab; exposure to numerical computing, optimization, and application fields helpful but not required; the engineering applications will be kept basic and simple.

3 unit(s)
J.P. Reilly

Matrix decompositions: eigen-decomposition, QR decomposition, singular value decomposition; solution to systems of equations: Gaussian elimination, Toeplitz systems; least square methods: ordinary, generalized and total least squares, principal component analysis.

3 unit(s)
The importance of the MIMO communication system lies in the fact that multiple transmitter antennas and multiple receiver antennas are employed to enable the system to exploit the high performance provided by the space diversity available and the high data rate promised by the capacity available in MIMO channels. The objective of this course is to provide a broad coverage of key research results, techniques and open problems in recent developments of MIMO communications.

3 unit(s)
This course addresses the topics of communications, “Quality of Service” (QoS), and efficiency in networks, including the Internet and wireless networks. The first part of the course will focus on an introduction to basic networks, basic switches and routers, network routing algorithms, and scheduling algorithms. The second part will focus on basic queuing systems and traffic models. The third will look at several classic network optimization problems.

3 unit(s)
S. Hranilovic

Entropy and mutual information. Discrete memoryless channels and discrete memoryless sources, capacity-cost functions and rate-distortion functions. The Gaussian channel and source. The source-channel coding theorem. Linear codes.BCH, Goppa, Reed-Solomon, and Golay codes.Convolutional codes.Variable-length source coding.

3 unit(s)
T.D. Todd

Introduction to the current state-of-the-art in wireless networking. Topics include infrastructure networking for wireless communications, smart antennas in wireless networks, wireless LANs and ATM, mobile IP, media access protocols for wireless networks and other resource allocation issues. Various networking aspects of wireless system operation such as location updating and roaming. Emphasis on system architecture, protocols and performance.

3 unit(s)
S. Shirani

The goal of this course is to introduce technologies involved in multimedia communications. Methods used to efficiently represent multimedia data (video, image, and audio), and deliver them over a variety of networks are discussed. State-of-the-art compression techniques will be introduced. Emphasis, however, will be given to compression standards, including H.26x, MPEG, and JPEG. The requirements and performance issues of multimedia networks (such as throughput, error resilience, delay, and jitter) and multimedia communications standards are introduced. Special factors in transmission of multimedia over ATM, wireless, and IP networks will be discussed. Moreover, authentication issues in multimedia communications (e.g. encryption, watermarking) are briefly introduced. Finally, multimedia databases, indexing and retrieval are presented. Current research areas in multimedia communications will be reviewed through students’ seminars.

3 unit(s)
D. Zhao

This course focuses on resource management and performance analysis in transporting multimedia traffic in wireless communication networks. Topics include traffic characteristics, connection admission control, packet scheduling, access control, and mobility and handoff management.

3 unit(s)
T. Szymanski

Traffic Engineering in telecommunication networks is rapidly evolving in response to the need to provide quality of service guarantees for data traffic in the internet. The course will focus on selected topics in the field, including the mathematical analysis of queueing systems, traffic models, large-scale switching system architectures, switch scheduling algorithms for QOS and network routing for QOS.

3 unit(s)
S. Sirouspour

Topics to be covered range from phase-plane analysis, Lyapunov and input-output stability, to feedback linearization and back stepping control.

3 unit(s)
M. Bakr

This course addresses different concepts in nonlinear optimization with a special focus on electrical applications. Starting with classical optimization approaches and single dimensional methods, we move to cover unconstrained and constrained multidimensional optimization. Both gradient-based and value-based optimization approached are covered. The course also addresses areas of research relevant to electrical engineering. These include space mapping (SM) optimization, global optimization approaches such as particle swarm optimization (PSO), and adjoint variable methods (AVM). The examples and projects mainly focus on applications relevant to electrical engineering.

3 unit(s)
S. Dumitrescu

The aim of this course is to familiarize the students with recent results in several modern research topics in multimedia coding and communications, such as joint source-channel coding/decoding, multiple description coding, distributed source coding, network coding. The presentation will include the theoretical foundations as well as practical aspects, applications, and open problems.

3 unit(s)
J. Chen

Network information theory deals with the fundamental limits on information flow in networks and optimal coding techniques and protocols that achieve these limits. It extends Shannon’s point-to-point information theory to networks with multiple source and destinations. Although a complete theory is yet to be developed, several beautiful results and techniques have been developed over the past forty years with applications in wireless communication, the Internet, and other networked systems. The course aims to provide a broad coverage of key results, techniques, and open problems in network information theory.

3 unit(s)
This course will provide an in-depth coverage of modern radar systems with application to surveillance, automotive and biomedical systems. Starting from the fundamental radar equations, the course will address real-world issues like clutter modeling, propagation effects, object tracking and countermeasures. The course will cover short and long-range radars, phased array radars and over-the-horizon radars.

3 unit(s)

3 unit(s)
(cross-listed as CSE 742)

3 unit(s)
M.J. Deen,Y. Haddara

This course provides a fundamental in-depth knowledge of the theory of operation, modeling, parameter extraction, scaling issues, and higher order effects of active and passive semiconductor devices that are used in mainstream semiconductor technology. There will be a comprehensive review of the latest models for the devices that are valid out to very high frequencies and the use of physical device modeling/CAD tools. A review of the latest device technologies will be presented. The course will be a prerequisite to the other applied courses in microelectronics.

3 unit(s)
M.J. Deen

This course provides a fundamental and in-depth knowledge of the analysis, modeling, and design of analog integrated circuits (ICs), mostly at radio frequencies (RF). It covers many aspects of the analysis and design of analog integrated circuits, mostly in CMOS technology. The topics include transistor models, reliability, small-signal analysis, amplifier design, biasing, noise analysis, low power design and examples of analog and RF ICs. It includes a review of the important circuit design techniques and device technologies. A good understanding of semiconductor device theory and modeling is required.

3 unit(s)
N. Nicolici

This course covers the topics of field-programmable gate arrays (FPGAs), hardware description languages (HDLs), core and advanced methods for design synthesis, design verification, design implementation and mapping signal processing algorithms to hardware.

3 unit(s)
N. Nicolici

This course covers the topics of CAD overflow, data structures and algorithms, behavioural and logic synthesis, and digital system testing.

3 unit(s)
C.H. Chen

This course provides a fundamental and in-depth knowledge of the analysis and design of radiofrequency (RF) integrated circuits (IC) in CMOS technology for wireless communications. The topics include the modeling of active and passive components for AC and noise analysis, design examples of amplifiers, filters, oscillators, PLL and frequency synthesizers. Circuit performance will be evaluated by both hand calculations and computer simulations. A good understanding of circuit analysis and CAD tools (e.g. HSPICE or SpectreRF) is required.

3 unit(s)
Y. Haddara

The course will explore electronic properties of polymer and organic semiconducting materials. In particular, we will study material structure, charge carriers, electronic transport, the effect of doping, device behavior, and fabrication issues.

3 unit(s)
X. Li, N. Nikolova

This course provides solid understanding of electromagnetic phenomena related to microwave and millimetre-wave engineering, antenna engineering and wireless technology. It also gives comprehensive review of the last achievements in high-frequency computational electromagnetics, which form the core of contemporary electromagnetic CAA/CAD tools. Special attention is paid to analytical and numerical approaches and techniques for the analysis of electromagnetic wave propagation.

3 unit(s)
Review of transmission line theory, Smith charts, waveguides, network analysis, impedance matching and microwave resonators. Microwave power dividers, directional couplers, filters, ferromagnetic components, amplifiers, oscillators and mixers.

3 unit(s)
N. Nikolova (cross-listed as CSE 753)

The course provides fundamental knowledge in the theory and practice of antennas used in modern wireless systems. It starts with an introduction into the theory of electromagnetic radiation. Fundamental antenna parameters are described in conjunction with the basic antenna measurement techniques. The course proceeds with classical antenna problems such as infinitesimal dipoles, wire and loop antennas; antenna arrays; reflector and horn antennas. Special attention is paid to printed antennas and their applications to wireless systems.

3 unit(s)

Photonic devices and circuits are key components used for lightwave generation, amplification, transmission and detection in communication systems and networks. Photonic devices and circuits that utilize primarily photons, in conjunction with electrons can offer the tremendous bandwidth which is the key to a variety of applications, especially broadband communication systems and networks. This course will focus on the modelling of passive device physics through numerical approaches, the simulation of device terminal performances through mixed analytical and numerical methods and the extraction of device behaviour models. This course will also cover circuit level simulation for a variety of monolithic or hybrid integrated photonic circuits constructed on those devices.

3 unit(s)
X. Li

Photonic devices and circuits are key components used for lightwave generation, amplification, transmission and detection in communication systems and networks. Photonic devices and circuits that primarily utilize photons, in conjunction with electrons, can offer the tremendous bandwidth which is the key to a variety of applications, especially broadband communication systems and networks. This course will focus on the modeling of active and functional device physics through numerical approaches, the simulation of device terminal performances through mixed analytical and numerical methods and the extraction of device behaviour models.

3 unit(s)
S. Kumar

Lightwave communication has emerged as the undisputed transmission method of choice in almost all areas of telecommunication, mainly because it offers unrivalled transmission capacity at low cost. This course will mainly focus on the design and simulation of the physical layer of lightwave communication systems and networks based on the advanced discrete and integrated photonic devices and optical fibers.

3 unit(s)
M. Bakr

This course provides a solid understanding of the computational electromagnetic techniques used to model electromagnetic phenomena related to microwave and millimetre-wave engineering, antenna engineering and wireless technology. A systematic approach is adopted in which the complexity and dimension of the explained techniques are increased starting with simple ID problems.

3 unit(s)
T. Field

Concepts of probability, logical relations, conditional probability and expectation, Bayes theorem, Bayesian statistics, central limit theorem; continuous random variables, correlation and higher order statistics; theory of distributions: moments, heavy tailed distributions, Cauchy distribution, characteristic functions, stability / infinite divisibility; Markov property, principles of stationarity, ergodicity; power spectral density and auto-correlation; population dynamics, birth-death-immigration processes, the Poisson process; diffusion processes, the Fokker-Planck equation; Brownian motion and the Wiener process; introduction to stochastic differential equations.

3 unit(s)
T. Davidson

Statistical signal processing, nonparametric and parametric spectral estimation, direction finding in sensor arrays, adaptive beamforming, adaptive filtering and filter banks, applications to radar, sonar, communications, and biomedical engineering.

3 unit(s)
K.M. Wong

Hypothesis testing, decision criteria, detection of signals in noise; theory of parameter estimation, Bayes estimate, maximum likelihood estimate, Cramér-Rao bound, linear mean square estimation, Wiener filtering, Kalman filtering, applications to communication and radar systems.

3 unit(s)
K.M. Wong

Signal spaces, discrete signal representations, integral transform for signal representation, representation of linear operators, characterization of signal properties, time-frequency representations of signal.

3 unit(s)
T. Kirubarajan

This course will introduce the advanced concepts and algorithms for multisensor-multitarget tracking under realistic conditions (with imperfect sensors and measurement uncertainties). In addition, this course will deal with multisource information fusion with applications to communications, signal processing and target tracking.

3 unit(s)
T. Kirubarajan (cross-listed as CSE 791)

The objective is to present a comprehensive coverage of advanced estimation techniques with applications to communications, signal processing and control. In addition to theory, the course also covers practical issues like filter initialization, software implementation, and filter model mismatch. Advanced topics on nonlinear estimation and adaptive estimation will be discussed as well.

3 unit(s)
S. Haykin

Statistical learning theory, including VC, regularization, and Bayesian theories. Algorithms for multilayer perceptrons, kernel-based learning machines, self-organizing maps, principal components analysis, and blind source separation. Sequential state estimation algorithms, including extended Kalman filter, unscented Kalman filter, and particle filters; applications to learning machines.

3 unit(s)
S. Haykin

Cognition. Neural information processing. Spectrum sensing. Bayesian filtering for state estimation. Cognitive dynamic programming for control. Cognitive radar. Cognitive radio Self-organizing systems.

3 unit(s)
T. Field

The principle themes are to characterize the time evolution of the scattered field in terms of stochastic differential equations, and to illustrate this framework in simulation and experimental data analysis. The physical models contain all correlation information and higher order statistics, which enable radar and laser scattering experiments to be interpreted. An emphasis is placed on the statistical character of the instantaneous fluctuations, as opposed to ensemble average properties. This leads to various means for detection, which have important consequences in radar signal processing and statistical optics. There are also significant connections with ideas in mathematical finance that can be applied to physics problems in which non-Gaussian noise processes play an essential role.

3 unit(s)
X. Wu

This course introduces students to the exciting problems of high fidelity image and video processing, and brings them to the frontier and challenges of this research area. The lectures will cover the theoretical fundamentals (the limits of sampling and reconstruction, mathematical modeling of multi-dimensional signals, etc.), algorithmic techniques, applications, and open problems. The course will prepare the students for future research endeavours and industrial jobs in the areas of image/video processing, multimedia, medical imaging, etc.

3 unit(s)
H. Peng, T. Farncombe (cross-listed as MED PHYS 770)

Medical imaging is important for both clinical medicine, and medical research. This course will provide an introduction to several of the major imaging modalities, focusing on the aspects of imaging physics, signal processing and system design. The topics to be covered include projection-imaging systems (projection X-Ray), back projection based systems (CT, PET, and SPECT). Ultrasound, optical imaging and MRI will be covered in the second part of this course Medical Imaging System II.

3 unit(s)
M. Noseworthy, N. Bock (cross-listed as BIOMED 702)

This course will compliment Medical Imaging Systems I. In this course imaging methods that rely on non-ionizing radiation will be discussed. The course content focuses on magnetic resonance imaging (MRI), in vivo nuclear magnetic resonance (NMR), ultrasound (US), and optical imaging methods. Advanced concepts such as multi-modality imaging approaches, image fusion, and functional medical image processing will be discussed.

3 unit(s)

3 unit(s)

6 unit(s)
(This is a zero-credit course)

Research poster seminar series presented by graduate students in electrical and computer engineering. All full time graduate students are required to register for this course as outlined in “General Requirements.” Grading will be restricted to pass/fail (P/F).

3 unit(s)
H. de Bruin (cross-listed as BIOMED 791)

The course is designed to give the student a more detailed knowledge of engineering applications to sensory and neuromuscular physiology. Topics include models of the myelinated and unmyelinated nerves including applied stimulating electrical fields; electrical fields in tissue resulting from surface and subcutaneous applied stimuli; surface and subcutaneous electrical fields in tissue resulting from single or populations of active nerve or muscle fibers; models of neuromuscular control; acquisition and analysis of kinesiological electromyographic and electroneurographic signals to determine normal and pathological neuromuscular function; magnetic and electrical stimulation of neural structures; Functional Electrical Stimulation (FES) and Magnetic Stimulation (FMS) in rehabilitation; neuroprostheses and sensory system interfaces.

3 unit(s)
S. Sirouspour

Topics to be covered range from the introductory rigid motions and coordinate transformations to advanced subjects such as design of controllers for teleoperation systems.

3 unit(s)
I. Bruce, H. deBruin

This course provides a solid quantitative understanding of the behaviour of excitable cells, the resulting extracellular fields, measurement of extracellular fields using techniques such as EMG and EEG and functional electrical stimulation of excitable cells for neural and muscular prostheses.

3 unit(s)
I. Bruce (cross-listed as BIOMED 796 and CSE 796)

This course provides a solid conceptual and quantitative background in the modeling of biological neurons and how they function as computational devices. Practical experience will be gained in modeling neurons from a number of perspectives, including equivalent electrical circuits, nonlinear dynamical systems, and random point-processes, and an introduction to the mathematics required to understand and implement these different engineering methodologies will be given.

3 unit(s)
A. Jeremic

A key to efficient biomedical signal processing is a fundamental understanding of physical models, simplified but adequate mathematical models and statistically efficient signal processing algorithms. This course exposes students to advanced signal processing techniques and illustrates their application to biomedical signal processing and diagnostic imaging.