Ottawa-Carleton Institute for Electrical and Computer Engineering
3034 Minto Bldg.
613-520-5659
613-520-3899
http://www.ociece.ca
Department of Electronics
5170 Mackenzie Building
613-520-5754
613-520-5708
http://www.doe.carleton.ca/content/graduate-students
Department of Systems and Computer Engineering
4456 Mackenzie Building
613-520-5740
613-520-5727
http://www.sce.carleton.ca/dept/sce.php/gs/prospectiveStudents
- M.A.Sc. Electrical and Computer Engineering
- M.Eng. Electrical and Computer Engineering
- Ph.D. Electrical and Computer Engineering
M.A.Sc., M.Eng. Electrical and Computer Engineering
About the Program
The Ottawa-Carleton Institute for Electrical and Computer Engineering was formed in May 1983 combining the graduate programs and research activities in the area of electrical and computer engineering of the Department of Electronics, Carleton University, Department of Systems and Computer Engineering, Carleton University, and the School of Electrical Engineering and Computer Science, University of Ottawa.
Through the resources provided by the two universities, the Ottawa-Carleton Institute offers graduate programs at both master's and doctoral levels in all areas of electrical and computer engineering. The Ottawa-Carleton Institute for Electrical and Computer Engineering is one of a number of joint institutes/centers in science and engineering that have been established between the University of Ottawa and Carleton University.
Academic Regulations
See the General Regulations section of this Calendar.
Admission Requirements
The normal requirement for admission to a master's program is a bachelor's degree with at least high honours standing in electrical engineering or a related discipline.
Program Requirements
Subject to the approval of the departmental chair, a student may take up to half of the course credits in the program in other disciplines (e.g., Mathematics, Computer Science, Physics).
Master's programs with a thesis earn the Master of Applied Science degree, while other master's programs earn the Master of Engineering degree.
M.A.Sc. Electrical and Computer Engineering (by Thesis) (5.0 credits) | ||
1. 2.5 credits in courses | 2.5 | |
2. 2.5 credits in Thesis | 2.5 | |
Total Credits | 5.0 |
M.Eng. Electrical and Computer Engineering (by Project) (5.0 credits) | ||
1. 4.5 credits in courses | 4.5 | |
2. 0.5 credit in project | 0.5 | |
Total Credits | 5.0 |
M.Eng. Electrical and Computer Engineering (by Coursework) (5.0 credits) | ||
1. 5.0 credits in courses | 5.0 |
Cooperative Master's Degree by Thesis (M.A.Sc.) (5.0 credits) | ||
1. 3.0 credits in courses | 3.0 | |
2. 2.0 credits in Thesis | 2.0 | |
Total Credits | 5.0 |
Participation in the Cooperative Master's program is subject to acceptance by a suitable sponsoring organization
Cooperative Master's Degree by Project (M.Eng.) (5.0 credits) | ||
1. 4.0 credits in courses | 4.0 | |
2. 1.0 credit in two 0.5-credit projects (Each project conducted in one of two work terms) | 1.0 | |
Total Credits | 5.0 |
Participation in the Cooperative Master's program is subject to acceptance by a suitable sponsoring organization.
Ph.D. Electrical and Computer Engineering
About the Program
The Ottawa-Carleton Institute for Electrical and Computer Engineering was formed in May 1983 combining the graduate programs and research activities in the area of electrical and computer engineering of the Department of Electronics, Carleton University, Department of Systems and Computer Engineering, Carleton University, and the School of Electrical Engineering and Computer Science, University of Ottawa.
Through the resources provided by the two universities, the Ottawa-Carleton Institute offers graduate programs at both master's and doctoral levels in all areas of electrical and computer engineering. The Ottawa-Carleton Institute for Electrical and Computer Engineering is one of a number of joint institutes/centers in science and engineering that have been established between the University of Ottawa and Carleton University.
Academic Regulations
See the General Regulations section of this Calendar.
Admission Requirements
The normal requirement for admission into the Ph.D. program is a master's degree with thesis in electrical engineering or a related discipline.
Program Requirements
Subject to the approval of the advisory committee, a student may take up to half of the course credits in the program in other disciplines (e.g., Mathematics, Computer Science, Physics).
Ph.D. Electrical and Computer Engineering (10.0 credits) | ||
1. 1.5 credits in courses | 1.5 | |
2. A comprehensive examination involving written and oral examinations and a written thesis proposal, to take place before the end of the fourth term of registration | ||
3. 8.5 credits in a thesis which must be defended at an oral examination | 8.5 | |
Total Credits | 10.0 |
Graduate Courses
In all programs, the student may choose graduate courses from either university with the approval of the adviser or advisory committee. Course descriptions may be found in the departmental section of the calendar. All courses are of one term duration. Only a selection of courses listed is given in a particular academic year. The following codes identify the department offering the course.
Carleton University
- ELEC Department of Electronics
- SYSC Department of Systems and Computer Engineering
University of Ottawa
- EACJ School Electrical Engineering and Computer Science
Course List by Research Area
BIOMEDICAL ENGINEERING | ||
Systems and Computer Engineering (Carleton) | ||
SYSC 5300 (ELG 6130) | Advanced Health Care Engineering | |
SYSC 5301 (ELG 6131) | Advanced Topics in Biomedical Engineering | |
SYSC 5302 (ELG 6321) | Biomedical Instrumentation | |
SYSC 5303 (ELG 6133) | Interactive Networked Systems and Telemedicine | |
SYSC 5304 (ELG 5127) | Medical Image Processing | |
SYSC 5307 (ELG 6307) | Biological Signals | |
School of Engineering and Computer Science (Ottawa) | ||
EACJ 5303 (ELG 5123) | Health Care Engineering |
COMPUTER AIDED DESIGN FOR ELECTRONIC CIRCUITS | ||
Department of Electronics (Carleton) | ||
ELEC 5401 (ELG 6341) | Signal Integrity in High-Speed Designs: Modeling and Analysis | |
ELEC 5402 (ELG 6342) | Introduction to Electronic Design Automation Algorithms and Techniques | |
ELEC 5404 (ELG 6344) | Neural Networks for High-Speed/High-Frequency Circuit Design | |
ELEC 5405 (ELG 6340) | Advanced Linear and Nonlinear Circuit Theory and Applications | |
ELEC 5504 (ELG 6354) | Analysis of High-Speed Electronic Packages and Interconnects | |
ELEC 5506 (ELG 6356) | Simulation and Optimization of Electronic Circuits | |
ELEC 5508 (ELG 6358) | Computer Methods for Analysis and Design of VLSI Circuits | |
ELEC 5704 (ELG 6374) | Advanced Topics in CAD | |
ELEC 5803 (ELG 6383) | Behavioural Synthesis of ICs | |
School of Engineering and Computer Science (Ottawa) | ||
EACJ 5705 (ELG 5195) | Digital Logic Design |
COMPUTER AND SOFTWARE ENGINEERING | ||
Systems and Computer Engineering (Carleton) | ||
SYSC 5003 (ELG 6103) | Discrete Stochastic Models | |
SYSC 5005 (ELG 6105) | Optimization Theory and Methods | |
SYSC 5006 (ELG 6106) | Design of Real-Time and Distributed Systems | |
SYSC 5409 | Interactive Media and Digital Art | |
SYSC 5101 (ELG 6111) | Design of High Performance Software | |
SYSC 5102 (ELG 6112) | Performance Measurement and Modeling of Distributed Applications | |
SYSC 5103 (ELG 6113) | Software Agents | |
SYSC 5104 (ELG 6114) | Methodologies For Discrete-Event Modeling And Simulation | |
SYSC 5105 (ELG 6115) | Software Quality Engineering and Management | |
SYSC 5108 (ELG 6118) | Topics in Information Systems | |
SYSC 5508 (ELG 6158) | Digital Systems Architecture | |
SYSC 5701 (CSI 5117) | Operating System Methods for Real-Time Applications | |
SYSC 5703 (ELG 6173) | Integrated Database Systems | |
SYSC 5704 (ELG 6174) | Elements of Computer Systems | |
SYSC 5706 (ELG 6176) | Analytical Performance Models of Computer Systems | |
SYSC 5708 (ELG 6178) | Model-Driven Development of Real-Time and Distributed Software | |
SYSC 5709 (ELG 6179) | Advanced Topics in Software Engineering | |
SYSC 5806 (ELG 6186) | Object Oriented Design of Real-Time and Distributed Systems | |
SYSC 5807 (ELG 6187) | Advanced Topics in Computer Systems | |
School of Engineering and Computer Science (Ottawa) | ||
EACJ 5102 (ELG 5197) | Intro to Embedded Systems | |
EACJ 5100 (ELG 5200) | Machine Vision | |
EACJ 5203 (ELG 5191) | Distributed System Software | |
EACJ 5204 (ELG 5124) | Virtual Environments | |
EACJ 5205 (ELG 5125) | Quality Service Mgmt/Multimed | |
EACJ 5703 (ELG 5194) | Reliable Digital Systems | |
EACJ 5705 (ELG 5195) | Digital Logic Design | |
EACJ 5807 (ELG 7186) | Topics in Computers I | |
EACJ 5808 (ELG 7187) | Topics in Computers II | |
EACJ 5900 (ELG 7573) | Sujets choisis sur les ordinat |
COMPUTER COMMUNICATIONS, DISTRIBUTED SYSTEMS, AND MULTIMEDIA | ||
Systems and Computer Engineering (Carleton) | ||
SYSC 5109 (ELG 6119) | Teletraffic Engineering | |
SYSC 5201 (ELG 6121) | Computer Communication | |
SYSC 5207 (ELG 6127) | Distributed Systems Engineering | |
SYSC 5306 (ELG 6136) | Mobile Computing Systems | |
SYSC 5403 (ELG 6143) | Network Access Techniques | |
SYSC 5406 | Network Routing Technologies | |
SYSC 5407 | Planning and Design of Computer Networks | |
SYSC 5408 | Cross Layer Design for Wireless Networks | |
SYSC 5500 | Designing Secure Networking and Computer Systems | |
SYSC 5502 (ELG 6152) | Advanced Linear Systems | |
SYSC 5800 (ELG 6180) | Network Computing | |
SYSC 5801 (ELG 6181) | Advanced Topics in Computer Communications | |
SYSC 5808 (ELG 6188) | Communications Network Management | |
School of Engineering and Computer Science (Ottawa) | ||
EACJ 5009 (ELG 5383) | Survivable Optical Networks | |
EACJ 5104 (ELG 5199) | Distributed Database Systems | |
EACJ 5108 (ELG 5382) | Switching and Traffic Theory | |
EACJ 5200 (ELG 5120) | Queuing Systems | |
EACJ 5202 (ELG 5122) | Analysis/Perf Eval: Comp Comm | |
EACJ 5206 (ELG 5126) | Source Coding and Data Compress. | |
EACJ 5208 (ELG 7185) | Wireless Ad Hoc Networking | |
EACJ 5500 (ELG 5371) | Digital Comm by Satellite | |
EACJ 5605 (ELG 7177) | Topics in Communications I | |
EACJ 5606 (ELG 7178) | Topics in Communications II | |
EACJ 5607 (ELG 5374) | Computer-Communication Network | |
EACJ 5369 (ELG 5396) | Internetworking Technologies | |
EACJ 5384/COMP 5406 [0.5] (ELG 5384,CSI 5105,LEG 5384) | Network Securityand Cryptography |
DIGITAL AND OPTICAL COMMUNICATIONS | ||
Department of Electronics (Carleton) | ||
ELEC 5605 (ELG 6365) | Optical Fibre Communications | |
ELEC 5606 (ELG 6366) | Phase-Locked Loops and Receiver Synchronizers | |
Systems and Computer Engineering (Carleton) | ||
SYSC 5200 (ELG 6120) | Algebraic Coding Theory | |
SYSC 5503 (ELG 6153) | Stochastic Processes | |
SYSC 5504 (ELG 6154) | Principles of Digital Communication | |
SYSC 5506 (ELG 5170) | Information Theory | |
SYSC 5605 (ELG 6165) | Advanced Digital Communication | |
SYSC 5606 (ELG 6166) | Introduction to Mobile Communications | |
SYSC 5607 (ELG 6167) | Source Coding and Data Compression | |
SYSC 5608 (ELG 6168) | Wireless Communications Systems Engineering | |
SYSC 5609 (ELG 6169) | Digital Television | |
SYSC 5700 (ELG 6170) | Spread Spectrum Systems | |
SYSC 5802 (ELG 6182) | Introduction to Information and System Science | |
SYSC 5804 (ELG 6184) | Advanced Topics in Communications Systems | |
School of Engineering and Computer Science (Ottawa) | ||
EACJ 5002 (ELG 5380) | Advanced Channel Coding | |
EACJ 5003 (ELG 5106) | Fourier Optics | |
EACJ 5105 (ELG 5373) | Secure Comm and Data Encryption | |
EACJ 5106 (ELG 5113) | Stochastic Systems | |
EACJ 5109 (ELG 5119) | Stochastic Processes | |
EACJ 5131 (ELG 5131) | Topics in Electromagnetics | |
EACJ 5132 (ELG 5132) | Smart Antennas | |
EACJ 5133 (ELG 5133) | Intro to Mobile Communications | |
EACJ 5300 (ELG 7114) | Topics in Systems and Control II | |
EACJ 5301 (ELG 7574) | Sujets choisis en systemes | |
EACJ 5360 (ELG 5360) | Digital Watermarking | |
EACJ 5501 (ELG 5170) | Information Theory | |
EACJ 5503 (ELG 5179) | Detection and Estimation | |
EACJ 5504 (ELG 5372) | Error Control Coding | |
EACJ 5506 (ELG 5375) | Principles of Digital Comm | |
EACJ 5605 (ELG 7177) | Topics in Communications I | |
EACJ 5606 (ELG 7178) | Topics in Communications II | |
EACJ 5702 (ELG 7572) | Sujets choisis en telecommun | |
EACJ 5704 (ELG 5180) | Advanced Digital Communication |
INTEGRATED CIRCUITS AND DEVICES | ||
Department of Electronics (Carleton) | ||
ELEC 5502 (ELG 6352) | Analog Integrated Filters | |
ELEC 5503 (ELG 6353) | Radio Frequency Integrated Circuit Design | |
ELEC 5509 (ELG 6359) | Integrated Circuit Technology | |
ELEC 5600 (ELG 6360) | Digital Integrated Circuit Testing | |
ELEC 5703 (ELG 6373) | Advanced Topics in Solid State Devices and IC Technology | |
ELEC 5705 (ELG 6375) | Advanced Topics in VLSI | |
ELEC 5706 (ELG 6376) | Submicron CMOS and BiCMOS Circuits for Sampled Data Applications | |
ELEC 5707 (ELG 6377) | Microsensors and MEMS | |
ELEC 5800 (ELG 6380) | Theory of Semiconductor Devices | |
ELEC 5801 (ELG 6381) | High-Speed and Low-Power VLSI | |
ELEC 5802 (ELG 6382) | Surface-Controlled Semiconductor Devices | |
ELEC 5804 (ELG 6384) | VLSI Design | |
ELEC 5805 (ELG 6385) | VLSI Design Project | |
ELEC 5808 (ELG 6388) | Signal Processing Electronics | |
ELEC 5809 (ELG 6389) | Nonlinear Electronic Circuits | |
Systems and Computer Engineering (Carleton) | ||
SYSC 5803 (ELG 6183) | Logic Programming | |
School of Engineering and Computer Science (Ottawa) | ||
EACJ 5006 (ELG 7132) | Topics in Electronics I | |
EACJ 5007 (ELG 7133) | Topics in Electronics II | |
EACJ 5008 (ELG 7575) | Sujets choisis en electronique | |
EACJ 5103 (ELG 5198) | Parallel Processing with VLSI | |
EACJ 5208/ELEC 5200 [0.5] (ELG 6320) | Wireless Ad Hoc Networking |
MICROWAVES AND ELECTROMAGNETICS | ||
Department of Electronics (Carleton) | ||
ELEC 5409 (ELG 6349) | Microwave and Millimeterwave Integrated Circuits | |
ELEC 5501 (ELG 6351) | Passive Microwave Circuits | |
ELEC 5602 (ELG 6362) | Microwave Semiconductor Devices and Applications | |
ELEC 5604 (ELG 6364) | Radar Systems | |
ELEC 5607 (ELG 6367) | Fundamentals of Antenna Engineering | |
ELEC 5608 (ELG 6368) | Fourier Optics | |
ELEC 5609 (ELG 6369) | Nonlinear Microwave Devices and Effects | |
ELEC 5707 (ELG 6377) | Microsensors and MEMS | |
ELEC 5709 (ELG 6379) | Advanced Topics in Electromagnetics | |
School of Engineering and Computer Science (Ottawa) | ||
EACJ 5305 (ELG 5108) | Electromagnetic Compatibility | |
EACJ 5308 (ELG 7500) | Sujets choisis electromagnetiq | |
EACJ 5401 (ELG 5104) | Electromagnetic Waves | |
EACJ 5402 (ELG 5379) | Numerical Methods: Electromag | |
EACJ 5403 (ELG 5504) | Ondes Electromagnetiques | |
EACJ 5404 (ELG 7100) | Topics in Electromagnetics I | |
EACJ 5405 (ELG 7101) | Topics in Electromagnetics II | |
EACJ 5406 (ELG 5779) | Methodes numeriques en genie |
PHOTONIC SYSTEMS | ||
Department of Electronics (Carleton) | ||
ELEC 5701 (ELG 6371) | Fibre and Waveguide Components for Communications and Sensors | |
ELEC 5702 (ELG 6372) | Principles of Photonics | |
ELEC 5705 (ELG 6375) | Advanced Topics in VLSI | |
ELEC 5708 (ELG 6378) | ASICs in Telecommunications | |
ELEC 5709 (ELG 6379) | Advanced Topics in Electromagnetics | |
EACJ 5004 (ELG 5381) | Photonics Networks | |
EACJ 5201 (ELG 5103) | Optical Communications Systems | |
EACJ 5404 (ELG 7100) | Topics in Electromagnetics I |
SIGNAL, SPEECH, AND IMAGE PROCESSING | ||
Systems and Computer Engineering (Carleton) | ||
SYSC 5304 (ELG 5127) | Medical Image Processing | |
SYSC 5370 (ELG 5370) | Multiresolution Signal Decomposition: Analysis and Applications | |
SYSC 5404 | Multimedia Compression, Scalability, and Adaptation | |
SYSC 5600 (ELG 6160) | Adaptive Signal Processing | |
SYSC 5601 (ELG 6161) | Neural Signal Processing | |
SYSC 5602 (ELG 6162) | Digital Signal Processing | |
SYSC 5603 (ELG 6163) | Digital Signal Processing: Microprocessors, Software and Applications | |
SYSC 5604 (ELG 6164) | Advanced Topics in Digital Signal Processing | |
School of Engineering and Computer Science (Ottawa) | ||
EACJ 5360 (ELG 5360) | Digital Watermarking | |
EACJ 5385 (ELG 5385) | Matrix MethodandAlgor Sign Proce | |
EACJ 5507 (ELG 5376) | Digital Signal Processing | |
EACJ 5508 (ELG 5776) | Traitement numer des signaux | |
EACJ 5509 (ELG 5378) | Image Proc and Image Comm | |
EACJ 5600 (ELG 7172) | Topics in Signal Processing I | |
EACJ 5601 (ELG 7173) | Topics in Signal Processing II | |
EACJ 5603 (ELG 7179) | Topics in Signal Processing 3 | |
EACJ 5800 (ELG 5377) | Adaptive Signal Processing |
SYSTEMS AND MACHINE INTELLIGENCE | ||
Systems and Computer Engineering (Carleton) | ||
SYSC 5001 (ELG 6101) | Simulation and Modeling | |
SYSC 5004 (ELG 6104) | Optimization for Engineering Applications | |
SYSC 5005 (ELG 5162) | Optimization Theory and Methods | |
SYSC 5007 (ELG 6107) | Expert Systems | |
SYSC 5401 (ELG 6141) | Adaptive and Learning Systems | |
SYSC 5402 (ELG 6142) | Advanced Dynamics With Applications to Robotics | |
SYSC 5405 (ELG 6102) | Pattern Classification and Experiment Design | |
SYSC 5803 (ELG 6183) | Logic Programming | |
School of Engineering and Computer Science (Ottawa) | ||
EACJ 5100 (ELG 5163) | Machine Vision | |
EACJ 5204 (ELG 5124) | Virtual Environments | |
EACJ 5207 (ELG 5161) | Robotics:Control/Sensing/Intel | |
EACJ 5209 (ELG 7113) | Topics in Systems and Control I | |
EACJ 5706 (CSI 5387) | Data Mining and Concept Learning | |
EACJ 5709 (ELG 5196) | Neural Networks and Fuzzy System | |
EACJ 7116 (ELG 7116) | Signal Proc: Intr Convex Optim | |
EACJ 5386 (ELG 5386) | Neural Networks and Fuzzy System |
Electronics (ELEC) Courses
Note: The Departments of Electronics and Systems and Computer Engineering offer courses in: Biomedical and Electrical Engineering, Communications Engineering, Computer Systems Engineering, Electrical Engineering, Software Engineering and Engineering Physics.
Advanced Topics in Integrated Circuits and Devices
Topics vary from year to year.
Signal Integrity in High-Speed Designs: Modeling and Analysis
Crosstalk, distortion, ground bounce, skin effect. Interconnect modeling/simulation, packages, ground/power planes, Elmore delay, lossy-coupled, frequency-dependent transmission lines, telegraphers equations, extraction, measured parameters, macromodeling: passivity/causality, MoC/MRA, vector fit, model reduction, electromagnetic compatibility/interference, mixed-domain systems, concurrent analysis.
Prerequisite(s): permission of the Department.
Introduction to Electronic Design Automation Algorithms and Techniques
Digital design process; overview of design automation tools/methodologies; theory of computational complexity; layout compaction; placement and partitioning; floorplanning; routing; digital simulation; switch-level simulation; logic synthesis; verification; analog and RF simulation.
Neural Networks for High-Speed/High-Frequency Circuit Design
Introduction to neural network methodologies for computer-aided design of high-speed/high-frequency circuits, including modeling of passive and active devices/circuits, and their applications in high-level design and optimization in wired and wireless electronic systems.
Advanced Linear and Nonlinear Circuit Theory and Applications
Graph theory, incidence matrices, cutset matrices, generalized KCL, topological formulation, state-space equations, Tellegen's theorem, state-transition matrix, multi-port representation, stability, passivity, causality, synthesis of passive circuits, active networks, nonlinear dynamic circuits.
Microwave and Millimeterwave Integrated Circuits
Design of communications electronics components with emphasis on GaAs MMIC implementation. Overview of MESFET, HEMT, HBT device modeling. Integrated lumped/ distributed passive element modeling. Broadband impedance matching. Design of direct-coupled amplifiers, distributed amplifiers, power devices and amplifiers, phase shifters, switches, attenuators, mixers, oscillators.
Passive Microwave Circuits
Characteristics of homogeneous and inhomogeneous transmission lines and waveguides. Planar transmission lines: stripline, microstrip, coplanar line, slotline. Coupled transmission lines. Modeling of discontinuities. Ferrite components. Microwave network analysis: s-parameters, CAD models. Design of impedance-matching networks, directional couplers, power splitters, filters. Applications in MICs and MMICs.
Analog Integrated Filters
The fundamentals and details of analog continuous-time and SAW filters. Comparison to switched-capacitor filters. Review of filter concepts, types of filters, approximations, transformations. Building blocks such as op amps, transconductance amplifiers, and gyrators. Design using cascaded second-order sections, multiple loop feedback and LC ladder simulations.
Radio Frequency Integrated Circuit Design
Integrated radio front-end component design. Overview of radio systems, frequency response, gain, noise, linearity, intermodulation, image rejection, impedance matching, stability, and power dissipation. Detailed design of low-noise amplifiers, mixers, oscillators and power amplifiers. Use of on-chip inductors and baluns. Process variations, parasitics, and packaging.
Analysis of High-Speed Electronic Packages and Interconnects
Introduction to modeling, simulation and optimization of high-speed VLSI packages; models for packages, interconnects and ground/power planes; lumped, distributed and EM models for interconnects; delay, crosstalk and switching noise; moment matching techniques; concurrent thermal/electrical analysis of IC packages and boards.
Simulation and Optimization of Electronic Circuits
Introduction to computer simulation and optimization of electrical circuits. Time- and frequency-domain formulations for sensitivity analysis and optimization. Optimization techniques for performance-, cost- and yield-driven design of electronic circuits. Optimization approaches to modeling and parameter extraction of active and passive elements.
Computer Methods for Analysis and Design of VLSI Circuits
Formulation of circuit equations. Sparse matrix techniques. Frequency and time-domain solutions. Relaxation techniques and timing analysis. Noise and distortion analysis. Transmission line effects. Interconnect analysis and crosstalk simulation. Numerical inversion techniques. Asymptotic waveform estimation. Mixed frequency/time domain techniques. Sensitivity analysis.
Integrated Circuit Technology
Survey of technology used in silicon VLSI integrated circuit fabrication. Crystal growth and crystal defects, oxidation, diffusion, ion implantation and annealing, gettering, CVD, etching, materials for metallization and contacting, and photolithography. Structures and fabrication techniques required for submicron MOSFETs. Applications in advanced CMOS processes.
Digital Integrated Circuit Testing
Production testing of digital integrated circuits. Outline of methods of testing used in production. Testing schemes and design for testability. Faults and fault models, yield estimates, testability measures, fault simulation, test generation methods, sequential testing, scan design, boundary scan, built-in self test, CMOS testing.
Microwave Semiconductor Devices and Applications
Theory of operation for microwave diodes (varactor, p-i-n, Gunn, IMPATT) and transistors (BJT, MESFET, HBT, HEMT). Small-signal, large-signal, and noise models for CAD. Diode oscillators and reflection amplifiers. Design of transistor oscillators and amplifiers. Discussion of technology/fabrication issues and MMIC applications.
Radar Systems
Fundamentals; range equation, minimum detectable signal, radar cross-section, pulse repetition frequency, range ambiguities. Radar classes: CW, FM-CW, MTI, tracking, air surveillance, SSR, PAR, MLS, SAR, SLAR, OTH, 3D and bistatic radars. Radar subsystems; transmitters, antennas, receivers, processors, displays, detection criteria; CFAR receivers, noise, clutter precipitation.
Optical Fibre Communications
Transmission characteristics of and design considerations for multi-mode and single-mode optical fibre waveguides; materials, structures, and device properties of laser light sources; properties and performance of p-i-n and avalanche photodiodes; types of optical fibre signal formats, preamplifier topologies, noise, receiver sensitivity, transmitter design, link design.
Phase-Locked Loops and Receiver Synchronizers
Phase-locked loops; components, fundamentals, stability, transient response, sinusoidal operation, noise performance, tracking, acquisition and optimization. Receiver synchronizers: carrier synchronizers including squaring loop, Costas loop, and remodulator for BPSK, QPSK BER performance; clock synchronizers including early-late gate, in-phase/midphase, and delay line multiplier.
Fundamentals of Antenna Engineering
Basic properties of antennas (gain, radiation patterns, polarization, antenna temperature). Analysis of common antennas (dipoles, loops, helices, aperture antennas, microstrip, dielectric resonator antennas, reflectors). Analysis and design of linear and planar arrays (array factors, beam scanning, amplitude weighting, feed networks).
Fourier Optics
The theory and applications of diffractive and non-diffractive coherent optics, with emphasis on holograms, tomography and high-speed optical computing. Mathematical basis: generalized 2-D Fourier transforms, transfer function of an optical system, 2-D sampling theory, Helmholtz equation, Green's theorem, and the classical diffraction theories.
Nonlinear Microwave Devices and Effects
The physical basis and mathematical modeling of a variety of microwave/millimeter-wave devices, (some of which exhibit the most extreme nonlinear behaviour known), how they can be exploited in practical circuits and systems, and how the resulting device/circuit interactions can be analyzed.
Fibre and Waveguide Components for Communications and Sensors
Optical wave propagation in dielectric waveguides. Theory and practice for passive photonic devices used for routing, filtering, and signal processing, including structural and biochemical sensors. Directional couplers and splitters, filters (gratings and etalons), Mach-Zehnder interferometers, Arrayed waveguide gratings, and dispersion compensators.
Prerequisite(s): ELEC 3909 or equivalent.
Principles of Photonics
Electromagnetic wave propagation in crystals; review of geometric optics; Gaussian beam propagation; optical fibres; dielectric waveguides for optical integrated circuits; optical resonators; optical properties of materials; theory of laser oscillation; specific laser systems; electro-optic modulators; photorefractive materials and applications; holography; optical interconnects.
Advanced Topics in Solid State Devices and IC Technology
Recent and advanced topics in semiconductor device physics, modeling, and integrated circuit fabrication technology. Topic varies from year to year according to departmental research interests. Students may be expected to contribute lectures or seminars on selected topics.
Advanced Topics in CAD
Recent and advanced topics in computer-aided techniques for the design of VLSI and telecommunications circuits. Topics will vary from year to year according to the departmental research interests. Students may be expected to contribute lectures or seminars on selected topics.
Advanced Topics in VLSI
Recent and advanced topics in the design of very large scale integrated circuits, with emphasis on mixed analog/digital circuits for telecommunications applications. Topic varies from year to year according to departmental research interests. Students may be expected to contribute lectures or seminars on selected topics.
Submicron CMOS and BiCMOS Circuits for Sampled Data Applications
The analog aspects of digital CMOS and BiCMOS circuit design in submicron technologies including reliability; sampled analog circuits, including amplifier non-ideal characteristics and switch charge injection; CMOS/BiCMOS amplifier design considerations, leading up to standard folded-cascode and two-stage circuits.
Microsensors and MEMS
Physical design of microelectromechanical systems (MEMS) and microfabricated sensors and actuators. An overview of thin and thick film processes and micromachining techniques will provide fabrication background. Device design including piezoresistive, piezoelectric, electromagnetic, thermal, optical, and chemical sensors and actuators.
ASICs in Telecommunications
Introduction to modern ASIC technologies for Telecom. Review of circuit-level building blocks for typical wireline and wireless applications, including power/performance tradeoffs. Corresponding FPGA analog and digital IO circuits are discussed. A topical literature study and circuit level design exercises.
Advanced Topics in Electromagnetics
Recent and advanced topics in electro-magnetics, antennas, radar systems, microwave devices and circuits, or optoelectronics. The subject material will vary from year to year according to research interests in the department and/or expertise provided by visiting scholars or sessional lecturers.
Theory of Semiconductor Devices
Equilibrium and non-equilibrium conditions in a semiconductor. Carrier transport theory. Physical theory of basic semiconductor device structures and aspects of design: PN junctions and bipolar transistors, field effect devices. Current transport relationships for transistors. Charge control theory. Modeling of device mechanisms. Performance limitations of transistors.
High-Speed and Low-Power VLSI
High-Speed and Low-Power CMOS VLSI circuit techniques. Low and high levels of abstraction; transistor, switch, logic-gate, module, system levels. State-of-the-art techniques to optimize the performance and energy consumption of a circuit. One or more of these techniques are used in a design project.
Surface-Controlled Semiconductor Devices
Fundamentals of the MOS system; MOS capacitors. Long channel behaviour: theory, limitations and performance of the SPICE level 1 and 2 models. Small geometry effects. Subthreshold operation and modeling. Hot electron effects and reliability.
Behavioural Synthesis of ICs
Various topics related to computer analysis and synthesis of VLSI circuits including: logic synthesis, finite state machine synthesis, design methodologies, design for reuse, testing, common VLSI functions, a review of Verilog.
VLSI Design
An IC design course with a strong emphasis on design methodology, to be followed by ELEC 5805 (ELG 6385). in the second term. The design philosophies considered will include Full Custom design, standard cells, gate-arrays and sea-of-gates using CMOS and BiCMOS technology. State-of-the-art computer-aided design tools are used.
VLSI Design Project
Using state-of-the-art CMOS and BiCMOS technologies, students will initiate their own design of an integrated circuit using tools in the CAD lab and submit it for fabrication where the design warrants.
Signal Processing Electronics
CCDs, transveral filters, recursive filters, switched capacitor filters, with particular emphasis on integration of analog signal processing techniques in monolithic MOS ICs. Detailed op amp design in CMOS technology. Implications of nonideal op amp behaviour in filter performance. Basic sampled data concepts.
Nonlinear Electronic Circuits
Introduction to non-linear circuits used in today's telecommunications ICs; CMOS non-linear circuits such as direct-RF-sampling mixers, phase-detectors; digital loop-filters, DCOs, frequency synthesizers and clock-and-data-recovery are introduced. Modeling of these non-linear circuits and existing options for simulations and closed form circuit analysis is presented.
Prerequisite(s): permission of the Department.
Engineering Project I
A one-term course, carrying 0.5 credit, for students pursuing the course work M.Eng. program. An engineering study, analysis and/or design project under the supervision of a faculty member. Written and oral reports are required. This course may be repeated for credit.
Engineering Project II
A one-term course, carrying full-course credit, for students pursuing the course work or co-op M.Eng. program. An engineering study, analysis and/or design project under the supervision of a faculty member. Written and oral reports are required. This course may be repeated for credit.
Directed Studies
Various possibilities exist for pursuing directed studies on topics approved by a course supervisor, including the above listed course topics where they are not offered on a formal basis.
M.A.Sc. Thesis
Ph.D. Thesis
Systems and Computer Engineering (SYSC) Courses
Simulation and Modeling
Simulation as a problem solving tool. Random variable generation, general discrete simulation procedure: event table and statistical gathering. Analyses of simulation data: point and interval estimation. Confidence intervals. Overview of modeling, simulation and problem solving using SIMSCRIPT, MODSIM and other languages.
Discrete Stochastic Models
Models for software, computer systems, and communications networks, with discrete states, instantaneous transitions and stochastic behaviour. Communicating finite state machines and Petri Nets. Review of concepts of probability, and of Markov Chains with discrete and continuous parameters. Basic queuing theory. Numerical methods for Markov Models.
Optimization for Engineering Applications
Introduction to algorithms and computer methods for optimizing complex engineering systems. Includes linear programming, networks, nonlinear programming, integer and mixed-integer programming, genetic algorithms and search methods, and dynamic programming. Emphasizes practical algorithms and computer methods for engineering applications.
Optimization Theory and Methods
Advanced theory, algorithms and computer methods for optimi zation. Interior point methods for linear optimization, advanced methods for nonlinear and mixed-integer optimization. Search methods. Applications in engineering.
Design of Real-Time and Distributed Systems
Characteristics of real-time and distributed systems. Modern midware systems, such as CORBA, DCE, RMI for building distributed applications: advantages and disadvantages. Analyzing designs for robustness, modularity, extensibility, portability and performance. Implementation issues. Major course project.
Expert Systems
Survey of some landmark expert systems; types of architecture and knowledge representation; interferencing techniques; approximate reasoning; truth maintenance; explanation facilities; knowledge acquisition. A project to implement a small expert system will be assigned.
Prerequisite(s): COMP 4007 or COMP 5001 (CSI 5113) or permission of the Department.
Design of High Performance Software
Designing software to demanding performance specifications. Design analysis using models of computation, workload, and performance. Principles to govern design improvement for sequential, concurrent and parallel execution, based on resource architecture and quantitative analysis.
Performance Measurement and Modeling of Distributed Applications
Performance measurements, metrics and models of midware based systems and applications. Benchmarks, workload characterization, and methods for capacity planning and system sizing. Performance monitoring infrastructures for operating systems and applications. Introduction to the design and analysis of experiments and the interpretation of measurements.
Software Agents
Agent-based programming; elements of Distributed Artificial Intelligence; beliefs, desires and intentions; component-based technology; languages for agent implementations; interface agents; information sharing and coordination; KIF; collaboration; communication; ontologies; KQML; autonomy; adaptability; security issues; mobility; standards; agent design issues and frameworks, applications in telecommunications.
Methodologies For Discrete-Event Modeling And Simulation
Methodological aspects of simulation. Modeling discrete events systems. Modeling formalisms: FSA, FSM, Petri Nets, DEVS, others. Verification and validation. Cellular models: Cellular Automata, Cell-DEVS. Continous and hybrid models. Parallel and Distributed simulation (PADS) techniques. PADS middleware: HLA, Parallel-DEVS, Time-Warp.
Software Quality Engineering and Management
All aspects of software quality engineering. Software testing, at all stages of the software development and maintenance life cycle. Software reviews and inspections. Use of software measurement and quantitative modeling for the purpose of software quality control and improvement.
Prerequisite(s): an undergraduate course in software engineering such as SYSC 4800 or SEG 3300, or equivalent, and basic statistics.
Topics in Information Systems
Recent and advanced topics in the field of Information Systems and its related areas.
Teletraffic Engineering
Congestion phenomena in telephone systems, and related telecommunications networks and systems, with an emphasis on the problems, notation, terminology, and typical switching systems and networks of the operating telephone companies. Analytical queuing models and applications to these systems.
Algebraic Coding Theory
Review of Algebra, Finite Fields, Linear Block Codes and their Properties, Hamming Codes, Cyclic Codes, Hadamard Matrices and Hadamard Codes, Golay Codes, Reed-Muller Codes, BCH and Reed-Solomon Codes, Decoding Algorithms, Coding Bounds.
Computer Communication
Computer network types, introductory queuing theory and performance analysis. OSI layering and BISDN layering modifications. Data link layer. Local area networks and random access (CSMA- CD, switched ethernet, token ring, wireless LAN). Public Networks. IP networks, addressing, routing. Transport layer, flow control. Introduction to ISDN.
Prerequisite(s): Undergraduate preparation in probability theory equivalent to STAT 3502.
Distributed Systems Engineering
Techniques for representing distributed systems: graphical and textual models. Processes, threads, synchronization and inter-process communication techniques, RPC. Middleware: client-server (CORBA), grids, Web services. Resource management: processor allocation, load sharing, Grid scheduling, real-time issues. Protocol: OSI model, application and presentation layers.
Advanced Health Care Engineering
Healthcare and technology; overview of medical devices and sensors; safe and effective use and management of technology; telemedicine; medical databases, data collection, storage, retrieval and computers in medicine; electronic patient records, PACS; clinical decision-support systems.
Precludes additional credit for EACJ 5303 (ELG 5123)
Prerequisite(s): permission of the instructor.
Advanced Topics in Biomedical Engineering
Topics vary from year to year.
Prerequisite(s): permission of the Department.
Biomedical Instrumentation
Instrumentation designed to measure physiological variables related to the function of the heart, lungs, kidney, nervous and musculo-skeletal system; emergency, critical care, surgery and anaesthesia equipment.
Precludes additional credit for BIOM 5100 (BMG 5103).
Prerequisite(s): permission of the instructor.
Interactive Networked Systems and Telemedicine
Telemanipulator; human motoring and sensory capabilities; typical interface devices; mathematical model of haptic interfaces; haptic rendering; stability and transparency; remote control schemes; time delay compensation; networking and realtime protocols, history and challenges of telemedicine; telemedicine applications: telesurgery, telemonitoring, telediagnosis and telehomecare.
Prerequisite(s): permission of the Department.
Medical Image Processing
Mathematical models of image formation based on the image modality and tissue properties. Linear models of image degradation and reconstruction. Inverse problems and regularization for image reconstruction. Image formation in radiology, computed tomography, magnetic resonance imaging, nuclear medicine, ultrasound, positron emission tomography, electrical impedance tomography.
Mobile Computing Systems
Systems to build mobile applications. Covers data link layer to application layer. Emphasis on existing wireless infrastructure and IETF protocols. Focuses on view of mobile application developer; communication systems, middleware and application frameworks, defacto standards proposed/developed by industry consortia.
Prerequisite(s): EACJ 5607 (ELG 5374) or SYSC 5201 (ELG 6121) or permission of the Department.
Biological Signals
Modeling of neuromuscular biological signals, including subthreshold phenomena, active behaviour of cell membranes, and innervation processes. Measurement of biological signals, including electrode effects. Time domain, frequency domain, and adaptive filtering techniques for noise reduction.
Multiresolution Signal Decomposition: Analysis and Applications
Multirate signal processing: sampling rate conversion, polyphase representation. Bases, filter banks: series expansion of discrete-time signals, series expansion of continuous-time signals, multiresolution concept and analysis, construction of wavelet, wavelet series. Complexity of multirate discrete-time processing, filter banks, and wavelet series computation.
Adaptive and Learning Systems
System identification. Least squares and recursive identification techniques. Asymptotic and theoretical properties. Model structure selection. Prediction and estimation. Model reference adaptive control and self-tuning regulators. Nonlinear adaptive systems. Stability. Neural networks and neuro-control. Applications to robotics, control and pattern recognition.
Advanced Dynamics With Applications to Robotics
Lagrange equations and Hamilton's principle. Dynamics of lumped parameter and continuous systems. Natural modes and natural frequencies. Forced vibrations. Stability and bifurcation. Kinematics and dynamics of rigid bodies. Gyroscopic effects. Forward and inverse kinematics of robot manipulators. Denavit-Hartenberg notation. Derivation of manipulator dynamics.
Network Access Techniques
A range of access technologies with emphasis on broadband access. Physical channels and the state-of-the-art of coding, modulation, multiplexing strategies to overcome physical impairments. including high-speed transmission over twisted pair, wireless, fibre and co-axial media.
Multimedia Compression, Scalability, and Adaptation
This course covers media compression, in-depth issues of scalability in the compression domain (including audio, images, video, 2D and 3D graphics), and adaptation towards various contexts; as well is covering various popular media encoding standards (including JPEG and MPEG).
Pattern Classification and Experiment Design
Introduction to a variety of supervised and unsupervised pattern classification techniques with emphasis on correct application. Statistically rigorous experimental design and reporting of performance results. Case studies will be drawn from various fields including biomedical informatics.
Prerequisite(s): undergraduate introductory probability and statistics.
Network Routing Technologies
The course covers routing technologies for high-speed networks. The course addresses in-depth issues and technologies in traffic engineering, MPLS (Multiprotocol Label Switching) system components and architecture, constraint-based routing, quality of service, protection and restoration, virtual private networks, cross layer interworking, and special topics.
Planning and Design of Computer Networks
Planning process of computer networks; needs and technical requirements; modeling of different network planning problems; exact and approximate algorithms; topological planning and expansion problems; equipment (switch, router) location problem; approximate and optimal routing algorithms; presentation of various case studies.
Cross Layer Design for Wireless Networks
Quality of service measures at different layers. Parameter adaptation, tradeoffs, and optimization at physical, data-link, network, transport, and application layers. Examples of cross-layer design in cellular, ad hoc, sensor, local area, green, and cognitive radio networks.
Interactive Media and Digital Art
Interactive digital technologies as new media for art and entertainment. Topics include essential features of the digital media, interactivity, computer games and gamification, interactive stories, serious games, virtual worlds and social networks, and digital art.
Designing Secure Networking and Computer Systems
Network security with coverage of computer security in support of networking concepts. Covers various security issues in data networks at different protocol layers. Routing security, worm attacks, and botnets. Security of new mobile networks and emerging networked paradigms such as social networks and cloud computing.
Advanced Linear Systems
Modeling and state space realization. Review of signals and systems. Solution to the matrix DE. Discrete time systems and the Z transform. Canonical representations and transformations. Controllability, observability and controller and observer design. LQR design and the Kalman filter. Numerous examples and applications.
Stochastic Processes
Basic concepts of randomness, as applied to communications, signal processing, and queuing systems; probability theory, random variables, stochastic processes; random signals in linear systems; introduction to decision and estimation; Markov chains and elements of queuing theory.
Principles of Digital Communication
Elements of communication theory and information theory applied to digital communications systems. Characterization of noise and channel models. Optium Receiver theory. Modulation and coding for reliable transmission: MPSK, MQAM, M-ary orthogonal modulation. Channel coding, trellis coded modulation. Spread spectrum and CDMA communications.
Prerequisite(s): SYSC 5503 (ELG 5503) or ELG 5119 (EACJ 5109) or equivalent (may be taken concurrently).
Information Theory
Measure of information: entropy, relative entrophy, mutual information, asymptotic equipartition property, entropy rates for stochastic processes; data compression: Huffman code, arithmetic coding; channel capacity: random coding bound, reliability function, Blahut-Arimoto algorithm, Gaussian channels, coloured Gaussian noise and 'water-filling'; rate distortion theory; network information theory.
Prerequisite(s): SYSC 5503 (ELG 6153) or EACJ 5109 (ELG 5119) or equivalent.
Digital Systems Architecture
New architectural concepts are introduced. Discussion of programmable architectures (micro-controllers, DSPs, GP) and FPGAs. Memory interfacing. Scalable, superscalar, RISC, CISC, and VLIW concepts. Parallel structures: SIMD, MISD and MIMD. Fault tolerant systems and DSP architectures. Examples of current systems are used for discussions.
Adaptive Signal Processing
Theory and techniques of adaptive filtering, including Wiener filters, gradient and LMS methods; adaptive transversal and lattice filters; recursive and fast recursive least squares; convergence and tracking performance; implementation. Applications, such as adaptive prediction, channel equalization, echo cancellation, source coding, antenna beamforming, spectral estimation.
Prerequisite(s): SYSC 5503 (ELG 5503)or ELG 5119 (EACJ 5109) or equivalent; SYSC 5602 (ELG 6162) or ELG 5376 (EACJ 5507) or equivalent.
Neural Signal Processing
Multidimensional function approximation. The least squares adaptive algorithm and the generalized dela rule. Multi-layered perceptrons and the back-propagation algorithm. Approximation of non-linear functions. Radial basis functions. Self-organizing maps. Applications of neural signal processing to control, communications and pattern recognition.
Prerequisite(s): SYSC 5503 (ELG 6153) or equivalent. May be taken concurrently with SYSC 5503 (ELG 5503).
Digital Signal Processing
Review of discrete time signals and systems, A/D and D/A conversions, representation in time, frequency, and Z domain, DFT/FFT transforms, FIR/IIR filter design, quantization effects. Correlation functions. Cepstrum analysis. Multi-rate signal processing. Power spectrum estimation. Introduction to joint time-frequency analysis. DSP architecture: implementation approaches. Applications.
Digital Signal Processing: Microprocessors, Software and Applications
Characteristics of DSP algorithms and architectural features of current DSP chips: TMS320, DSP-56xxx, AD-21xxx and SHARC. DSP multiprocessors and fault tolerant systems. Algorithm/software/hardware architecture interaction, program activity analysis, development cycle, and design tools. Case studies: LPC, codecs, FFT, echo cancellation, Viterbi decoding.
Advanced Topics in Digital Signal Processing
Recent and advanced topics in the field of digital signal processing and its related areas.
Advanced Digital Communication
Techniques and performance of digital signalling and equalization over linear bandlimited channels with additive Gaussian noise. Fading multipath channels: diversity concepts, modeling and error probability performance evaluation. Synchronization in digital communications. Spread spectrum in digital transmission over multipath fading channels.
Prerequisite(s): SYSC 5504 (ELG 6154) or equivalent.
Introduction to Mobile Communications
Mobile radio channel characterization: signal strength prediction techniques and statistical coverage; fading; delay spread; interference models and outage probabilities. Digital modulation and transmission system performance. Signal processing techniques: diversity and beamforming, adaptive equalization, coding. Applications to TDMA and CDMA cellular systems.
Source Coding and Data Compression
Discrete and continuous sources. Discrete sources: Huffman coding & run length encoding. Continuous sources: waveform construction coding; PCM, DPMC, delta modulation; speech compression by parameter extraction; predictive encoding; image coding by transformation and block quantization. Fourier and Walsh transform coding. Applications to speech, television, facsimile.
Wireless Communications Systems Engineering
Multi-user cellular and personal radio communication systems; frequency reuse, traffic engineering, system capacity, mobility and channel resource allocation. Multiple access principles, cellular radio systems, signalling and interworking. Security and authentication. Wireless ATM, satellite systems, mobile location, wireless LANs, wireless local loops, broadband wireless, etc.
Digital Television
Television standards: NTSC, PAL, SECAM, and HDTV. Sampling and quantization of television signals: rec 601-1. Digital video compression: inter and intra-frame methods, spatial and transform/wavelet coding; H.261 and MPEG standards. Video conferencing systems and other digital video processing applications.
Spread Spectrum Systems
Types of spread spectrum systems, FH, DS-SS,TH-SS using impulse-radio. Hybrid DS/FH-SS. Pseudo-noise generators: statistical properties of M sequences, Galois field connections, Gold codes, OVSF codes. Code tracking loops, initial synchronization of receiver spreading code. Performance in interference environments and fading channels. CDMA systems. SS applications in UWB communications and Imaging systems.
Operating System Methods for Real-Time Applications
Principles and methods for operating system design with application to real-time, embedded systems. Concurrent programming: mechanisms and languages; design approaches and issues; run-time support (kernel). Methods for hard real-time applications. Methods for distributed systems. Programming assignments in a suitable programming language.
Integrated Database Systems
Database definitions, applications, architectures. Conceptual design based on entity-relationship, object-oriented models. Relational data model: relational algebra and calculus, normal forms, data definition and manipulation languages. Database management systems: transaction management, recovery and concurrency control. Current trends: object-oriented, knowledge-based, multimedia, distributed databases.
Elements of Computer Systems
Concepts in basic computer architecture, assembly languages, high level languages including object orientation, compilers and operating system concepts (including concurrency mechanisms such as processes and threads and computer communication). Designed for graduate students without extensive undergraduate preparation in computer system engineering (or equivalent experience).
Analytical Performance Models of Computer Systems
Analytical modeling techniques for performance analysis of computing systems. Theoretical techniques covered include single and multiple class queuing network models, together with a treatment of computational techniques, approximations, and limitations. Applications include scheduling, memory management, peripheral devices, databases, multiprocessing, and distributed computing.
Model-Driven Development of Real-Time and Distributed Software
Advanced development of real-time and distributed systems by model-driven development that shifts the focus from coding to modeling. Different types of models. Generating code by model transformations. Design patterns for distributed/concurrent systems with examples from communication applications. Design issues for reusable software.
Advanced Topics in Software Engineering
Recent and advanced topics in the field of software engineering and related areas. Primary references are recent publications in the field.
Network Computing
Design and Java implementation of distributed applications that use telecommunication networks as their computing platform. Basics of networking; Java networking facilities. Introduction to open distributed processing; CORBA, JavalDL, JavaRMI, CGI/HTTP, DCOM, Componentware; Enterprise JavaBeans, ActiveX. Agents: Java code mobility facilities. Security issues; Java security model.
Advanced Topics in Computer Communications
Recent and advanced topics in computer-communication networks intended as a preparation for research. Students are expected to contribute to seminars or present lectures on selected topics.
Introduction to Information and System Science
An introduction to the process of applying computers in problem solving. Emphasis on the design and analysis of efficient computer algorithms for large, complex problems. Applications in a number of areas are presented: data manipulation, databases, computer networks, queuing systems, optimization.
Logic Programming
Review of relational databases, first order predicate calculus, semantics of first order models, deductive querying. Proof theory, unification and resolution strategies. Introduction to Prolog, and/or parallelism and Concurrent Prolog. Applications in knowledge representation and rule-based expert systems.
Advanced Topics in Communications Systems
Recent and advanced topics in communications systems.
Object Oriented Design of Real-Time and Distributed Systems
Advanced course in software design dealing with design issues at a high level of abstraction. Design models: use case maps for high-level behaviour description; UML for traditional object-oriented concerns. Design patterns. Forward, reverse, and re-engineering. Substantial course project on applications chosen by students.
Advanced Topics in Computer Systems
Recent and advanced topics in computer systems. The course will generally focus on one or more of the following areas: specification, design, implementation, and modeling/analysis. Students may be expected to contribute to lectures or seminars on selected topics.
Communications Network Management
Network management issues. WANs and LANs. The Internet and ISO models of network management. Network management protocols SNMP, CMIP, CMOT, etc. Events, Managed Objects and MIBs. Fault management techniques. Current diagnostic theory and its limitations. AI and Machine learning approaches. Monitoring and fault management tools.
Systems Engineering Project
Students pursuing the non-thesis M.Eng. program conduct an engineering study, analysis, and/or design project under the supervision of a faculty member.
Systems Engineering Project
Project similar to SYSC 5900, but either of greater scope or longer duration.
M.C.S. Thesis
Directed Studies
M.Sc. Thesis in Information and Systems Science
M.A.Sc. Thesis
Ph.D. Thesis
Summer session: some of the courses listed in this Calendar are offered during the summer. Hours and scheduling for summer session courses will differ significantly from those reported in the fall/winter Calendar. To determine the scheduling and hours for summer session classes, consult the class schedule at central.carleton.ca
Not all courses listed are offered in a given year. For an up-to-date statement of course offerings for the current session and to determine the term of offering, consult the class schedule at central.carleton.ca