Department of Systems and Computer Engineering

Mackenzie Building 4462
Telephone: 788-5740
Fax: 788-5727

The Department

Chair of the Department: S.A. Mahmoud

Associate Chair for Graduate Studies: J.W. Chinneck

Director, Telecommunications Technology Management Program: To be announced

The Department of Systems and Computer Engineering offers programs of study and research leading to the M.Eng. and Ph.D. degrees in Electrical Engineering. These degrees are offered through the Ottawa-Carleton Institute for Electrical Engineering which is jointly administered by the Department of Systems and Computer Engineering and the Department of Electronics at Carleton University, and the Department of Electrical Engineering at the University of Ottawa. For further information, including admission and program requirements, see page 125.

The Department of Systems and Computer Engineering offers a program leading to the M.Eng. degree in Telecommunications Technology Management. For further information, including admission and program requirements, see page 135.

A program leading to the M.Sc. degree in Information and Systems Science is offered in cooperation with the Department of Mathematics and Statistics and the School of Computer Science at Carleton University. This program is more fully described on page 206 of this calendar.

In addition certain faculty members in the Department are members of the Ottawa-Carleton Institute for Computer Science, which offers a program leading to the M.C.S. degree. This program is more fully described on page 187 of this calendar.

The Departmental program centres upon the analysis and design of engineering systems which process and transmit information and have computers as components. Within this context, several interrelated areas of study receive major attention:

Communication Systems

• Computer Communications
• Broadband ISDN Networks
• Portable and Mobile Communication Systems
• - Signal Processing
• - Network Management
• - Software Methods

Computer Systems

• CAD/CASE of Software and Systems
• Real-Time and Distributed Computing
• Software Engineering
• Data Base Systems
• Knowledge-Based Systems
• Image Processing Systems
• Signal Processing Systems
• Robotics Systems

Analysis Techniques

• Modelling and Simulation
• Performance Analysis
• Optimization

An integrated course program provides students with the fundamental material and allows specialization in one or more of the above areas as desired. Work undertaken includes both theoretical studies and the related problems of practicable realizations.

Computing resources play a central role in the research and teaching activities of the Department. The facilities available to students include over 70 SUN workstations, several high performance IBM or HP workstations, and a Dy-4 multiprocessor system, all connected on an Ethernet LAN. There are also numerous networked PCs, some MACs, and specially configured PCs. Laboratories for communications, signal and image processing research include numerous specialized device and test equipment. There are also several robots for robotics and control research.

The Department is a major partner in the Ottawa-Carleton Centre for Communications Research (OCCCR), which is a multidisciplinary interdepartmental research group comprising faculty members, full-time researchers, graduate students, and support staff from both Carleton University and the University of Ottawa. It is part of the Centre for Excellence TRIO (Telecommunications Research Institute of Ontario) and CITR (Canadian Institute for Telecommunications Research). Current research areas of the centres with major participation from the Department are: broadband ISDN access networks, transmission methods for ISDN, methods for telecommunications software, mobile and portable wireless networks, VLSI in communications and network management using artificial intelligence methods, and wireless indoor digital communications.

Full advantage is taken within the Department of the technology-oriented government/industry/ university complex in the Ottawa area. Cooperative projects exist with the Department of Communications, Communications Research Centre, NRC, Bell Northern Research Laboratories, Gandalf, Bell Canada and Department of National Defence.

Master's Degree

The Department of Systems and Computer Engineering offers a program of study and research leading to the degree of Master of Engineering in Telecommunications Technology Management.

The objective of the program is to train engineers and computer scientists to become competent and efficient managers of the engineering processes that deliver innovative telecommunications systems, products and services. The emphasis is on design, development, manufacture, and technical support, areas for which engineers are normally responsible and where their technical expertise and practical knowledge are critical.

The program focuses on research in the synthesis between communication systems engineering and management of engineering processes. Within this context the following areas receive major attention:

• Design and Manufacturing Management
• Network Design, Protocols and Performance
• Software Engineering
• Wireless and Satellite Communications
• Manufacturing Systems Analysis

Close links are maintained with the engineering and technological communities and an effort is made to direct students to thesis and project work of current theoretical and practical significance. The research results should provide useful contributions to the efficient management of engineering processes and the related activities in the telecommunications field.

Admission Requirements

The normal requirement for admission to the master's program is a bachelor's degree in electrical engineering, computer science or a related discipline with at least high honours standing. Candidates are required to have two years experience in technical work in telecommunications prior to admission.

Candidates applying for admission with degrees not in the discipline of engineering will be considered by the admissions committee. The committee is responsible for establishing criteria for degree equivalencies.

Program Requirements

Subject to the approval of the admissions committee, students in the master's program may choose to complete the degree by successfully completing either a thesis or a project.

Master's Degree by Thesis

All master's students in the thesis option are required to complete a total of eleven half credits as follows:

• three compulsory half-credit courses including: 96.501 Management Principles for Engineers; 96.502 Telecommunications Technology; and 96.503 Issues in Telecommunications
• four approved half-credit courses from the list of restricted elective courses listed below
• a thesis equivalent to four half-credit courses or two full credits

Master's Degree by Project

All master's students in the project option are required to complete a total of eleven half credits of which at least ten must be at the 500 level or above, as follows:

• three compulsory half-credit courses including: 96.501 Management Principles for Engineers; 96.502 Telecommunications Technology; and 96.503 Issues in Telecommunications
• four approved half-credit courses from the list of restricted elective courses listed below
• two approved non-restricted elective half-credit courses
• a graduate project equivalent to two half-credit courses or one full credit

Restricted Elective Courses

Students in the master's program must complete two half-credit courses in the field of management of engineering processes and two half-credit courses in one of the four sub-fields in communication and systems engineering. Courses in each of the four sub-fields and the field of management of engineering processes are listed below.

The sub-fields in communication systems engineering are:

• Software Engineering
• Wireless and Satellite Communications
• Network Design, Protocols and Performance
• Manufacturing Systems Analysis

All courses in the field of communication systems engineering are offered by the Department of Systems and Computer Engineering and begin with the prefix 94.

Communication Systems Engineering

• Software Engineering
• 94.507 Expert Systems
• 94.511 Computer System Design for Performance
• 94.531 System Design with ADA
• 94.535 Representations, Methods and Tools for Concurrent Systems
• 94.553 Stochastic Processes
• 94.571 Mini/Microcomputer Operating System Design
• 94.573 Integrated Database Systems
• 94.574 Elements of Computer Systems
• 94.576 Analytical Performance Models of Computer Systems
• 94.577 Teleprocessing Software Design
• 94.579 Advanced Topics in SW Engineering: OO Design
• 94.582 Introduction to Information and Systems Science

Wireless and Satellite Communications

• 94.553 Stochastic Processes
• 94.554 Principles of Digital Communication
• 94.566 Introduction to Mobile Communications
• 94.568 Wireless Communications Systems

Network Design, Protocols and Performance

• 94.501 Simulation and Modelling
• 94.504 Mathematical Programing for Engineering Applications
• 94.505 Optimization Theory and Methods
• 94.507 Expert Systems
• 94.511 Computer System Design for Performance
• 94.519 Teletraffic Engineering
• 94.521 Computer Communiction
• 94.527 Distributed Processing Systems
• 94.553 Stochastic Processes
• 94.567 Source Coding and Data Compression
• 94.576 Analytical Performance Models of Computer Systems
• 94.581 Advanced Topics in Computer Communiction
• 94.588 Communication Network Management

Manufacturing Systems Analysis

• 94.501 Simulation and Modelling
• 94.504 Mathematical Programing for Engineering Applictions
• 94.582 Introduction to Information and Systems Science
• 92.527 Robotics: Control, Sensing and Intelligence

Management of Engineering Processes

• 96.504 Management of Design Systems
• 96.505 Management of Telecommunications System Design
• 96.506 Management of Software Engineering Projects
• 96.508 Corporate Communications Networks
• 96.510 Communications Standards
• 96.511 Manufacturing and New Product Introduction
• 96.512 Managing Full-Scale Production
• 96.513 Advanced Topics in Telecommunications Technology Management
• 96.514 Directed Studies in Design and Manufacturing Management

Non-Restricted Elective Courses

All students in the project option of the master's program are required to complete two half-credit courses from those offered by the Department of Electronics, Department of Mechanical and Aerospace Engineering, Department of Systems and Computer Engineering, School of Industrial Design, or School of Computer Science.

Graduate Courses*

Courses in the field of communication systems engineering are described below. Courses in the field of management of engineering processes are described beginning on page 143.

• Engineering 94.501W1 (ELG6101)
  Simulation and Modelling
  Simulation as a problem-solving tool. Mathematical foundations: random variate generation, parameter estimation, confidence interval, simulation algorithm. Simulation languages: SLAM, SIMULA, SIMSCRIPT. Examples: computers and protocols, urban traffic, harbours and airport capacity planning, manufacturing capacity planning, inventory systems.
• Engineering 94.503F1 (ELG6103I)
  Discrete Stochastic Models
  Models for software and computer systems, and communications networks, with discrete states, instantaneous transitions and stochastic behaviour. Communicating finite state machines and Petri Nets. Stochastic behaviour leading to Markovian models (including stochastic Petri Nets). Review of concepts of probability, and theory of Markov Chains with discrete and continuous parameters. First-passage problems. Birth-death processes and basic queuing theory. Numerical methods for Markov Models.
  C.M. Woodside.
• Engineering 94.504F1 (ELG6104)
  Mathematical Programing for Engineering Applications
  An introduction to algorithms used for the optimization of complex systems. Topics include linear programing (with duality and post-optimality analysis), nonlinear programing, dynamic programing integer and mixed-integer programing and combinatorial search methods, and network flow programing. Emphasis is on practical algorithms for engineering applications, e.g. VLSI design, message routing, etc.
  J.W. Chinneck.
• Engineering 94.505W1 (ELG6105)
  Optimization Theory and Methods
  A second-level course in optimization theory and computer-oriented optimization methods. Lagrange's method of undetermined multipliers. Unconstrained optimization: steepest-descent, Newton-Raphson, conjugate gradient, variable metric, and Powell-Zangwill methods. Nonlinear programing: Kuhn-Tucker conditions, saddle point theory and dual problems, computational techniques. Application to nonlinear engineering system identification, network synthesis problems, filter design. Function space techniques and introduction to optimal control.
  Bernard Pagurek.
• Engineering 94.506W1 (ELG6106)
  Design of Real-Time and Distributed Systems
  Real-time and distributed systems: characteristics, issues. Requirements and architectures will be represented using timethreads. Decomposing and recomposing timethreads and architectures. Analyzing designs for robustness, modularity, extensibility, adaptability. Equivalent more detailed formal representation and analysis using LOTOS and Petri Nets. Adding performance information and analyzing performance, e.g., with timed Petri Nets. Principles for performance engineering. Implementation issues. Tools. Major course project.
  Prerequisites: Engineering 94.333 and 94.485 or similar experience.
  R.J.A. Buhr.
• Engineering 94/95.507F1(ELG6107)
  Expert Systems
  This course will include: survey of some landmark expert systems; types of architecture and knowledge representation; inferencing techniques; approximate reasoning; truth maintenance; explanation facilities; knowledge acquisition. A project to implement a small expert system will be assigned.
  Prerequisite: Computer Science 95.407 or 95.501 or permission of the Department.
  W.R. Lalonde.
• Engineering 94.511W1 (ELG6111)
  Design of High Performance Software
  Designing software to demanding performance specifications. Models of professing and performance requirements. Performance engineering within the software design process. Improvement of existing designs by the application of performance engineering principles for sequential and concurrent software. Constructing computation graphs, workload models, and performance models for a system. The use of standard model solvers. Partitioning functionality among concurrent processes or tasks. Case studies.
  Prerequisite: Engineering 94.574 and a course in software engineering, or the equivalent.
  C.M. Woodside.
• Engineering 94.512W1(ELG6112)
  Performance Measurement and Modelling of Distributed Applications
  Performance measurements, metrics and models of distributed systems and applications. Benchmarks, workload characterization, capacity planning, tuning and system sizing. Introduction to the design and analysis of experiments. Performance monitors, and the correlation of measured information with application resource consumption to support the software performance engineering process. Using metrics to help understand the performance behaviour of distributed applications.
  Prerequisite: Engineering 94.511 or the equivalent.
  J. Rolia.
• Engineering 94.517W1 (ELG6117)
  Queuing Systems
  Stochastic processes: Markov chains, discrete birthdeath, etc. Queuing systems: M/G/1, G/M/m, M/M/m/k/n queues, etc. Priority queues. Networks of queues: local/global balance equations, product form solutions for open and closed networks. Mean value analysis, diffusion approximation, non-product form networks. Related models (e.g. Petri nets). Numerical solutions. Examples include throughput analysis from multiprocessors and computer-communication networks.
  Prerequisite: Engineering 94.553 or ELG5119 or the equivalent.
  Exclusion: Engineering 92.520(ELG5120).
• Engineering 94.518W1 (ELG6118)
  Topics in Information Systems
  Students participate in a group project designing and developing an expert system of significant size in an organized manner. Specification of the system's aims, design in terms of knowledge representation, knowledge acquisition and knowledge use, prototyping, implementation and testing will all be covered in a mix of lectures, interactive tutorials and project assignments.
  Prerequisite: Engineering 94/95.507 or 94.583 or equivalent.
• Engineering 94.519W1 (ELG6119)
  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.
  Prerequisite: Engineering 94.553 or ELG5119 or the equivalent.
• Engineering 94.521F1 (ELG6121)
  Computer Communication
  Types of computer networks, performance criteria. OSI Layered Model with emphasis on transport, network and data-link layers. Examples of public networks. Routing and protocol efficiency. Queuing and analysis of networks. Local area networks, protocols and performance analysis of CSMA-CD, token passing and polling. Introduction to ISDN and broadband networks.
  Prerequisite: Undergraduate preparation in probability theory equivalent to 69.352.
  Exclusion: Engineering 92.567 (ELG5374).
  A.R. Kaye.
• Engineering 94.527W1 (ELG6127)
  Distributed Processing Systems
  Methods for representing distributed systems such as precedence graphs, communicating state-machine models, and Petri nets. Analysis of distributed system behaviour, based on these models. Protocols. ISO protocol model: transport session, presentation and application levels. Design examples: interprocess communications, file transfer, factory automation. Resource management.
  Prerequisites: Engineering 94.521 or ELG5374; and 94.571 or the equivalent.
  Shikharesh Majumdar.
• Engineering 94.531F1 (ELG6131)
  System Design with Ada
  Notations and methods for the design of real time and distributed systems in an object-oriented manner with particular focus on visual techniques and on temporal behaviour problems and solutions. Uses multitasking Ada as an example target implementation technology, but the notations and methods are presented in an Ada-independent manner and are of wider applicability than Ada. Teaches techniques oriented towards Computer Aided Design (CAD) of systems (CAD differs from CASE - Computer Aided Software Engineering in placing more emphasis on analysis of the design at the design level before implementation); aims to give insight into the state of the art in CAD and CASE tools. A principles course, rather than a programing or tool-use course.
  Prerequisite: Permission of the Department. (The course requires background of the kind given by the 94.202/94.303/94.333 course sequence in our undergraduate Computer Systems Engineering program; however, it is not the specifics of that particular course sequence that are prerequisites, but a level of readiness to deal with system design issues.)
  R.J.A. Buhr.
• Engineering 94.535F1 (ELG6135)
  Representations, Methods and Tools for Concurrent Systems
  Selected representations and methods for concurrent systems that are supported by current and emerging CAD/CASE tools. A colloquium course with most lectures consisting of student presentations/discussions, supplemented from time to time by talks from invited experts on topics of particular interest. The course is supported by a laboratory containing a selection of interesting tools (such as Statemate, Timebench, MLog, Teamwork, Adagen, a Lotos interpreter, and others).
  Prerequisite: Permission of the Department. Limited enrolment.
  R.J.A. Buhr.
• Engineering 94.538F1 (ELG6138)
  Computer Architecture and Parallel Processing
  Introduction to parallel processing; parallel computer structures; memory and input/output subsystems; pipelining and vector processing; array processing; data flow and systolic computations; interconnection networks; software and other design fundamentals; examples.
  Prerequisite: Engineering 94.457 or equivalent.
• Engineering 94.541F1 (ELG6141)
  Adaptive Control
  Analysis of nonlinear dynamic systems with emphasis on stability. Lyapunov and hyperstability theories. Introduction to system identification. The least squares and recursive least squares approaches. Model reference adaptive control. The self-tuning regulator. Issues in parameter convergence and stability. Robustness properties of adaptive systems. Case studies will include applications to process control and robotics. Students will be required to prepare a critical review of the current literature.
  Prerequisite: Engineering 94.552 or equivalent.
  H.M. Schwartz.
• Engineering 94.542F1 (ELG6142)
  Advanced Dynamics With Applications to Robotics
  Kinematics of rigid bodies and robot manipulators. Use of the Denavit-Hartenberg principle. Forward and inverse kinematics of manipulators. Momentum and energy principles. Lagrange equations and Hamilton's principle. Dynamics of lumped parameter and continuous systems. Natural modes and natural frequencies. Forced vibrations. General dynamics of robot manipulators.
  H.M. Schwartz.
• Engineering 94.552F1 (ELG6152)
  Advanced Linear Systems
  Review of basic linear systems: input-output relations, superposition, impulse response, convolution. Transform methods in systems analysis. Fourier and Laplace transforms. Time-frequency relationships. Discrete time systems, the Z transform. State space representation of the systems: basic concepts, canonical realizations. Observability and controllability of continuous and discrete time realization. Solution of state equations and modal decomposition. Linear state variable feedback and modal controllability. Abstract approach to state space realization methods. Geometric interpretation of similarity transformations.
  H.M. Schwartz.
• Engineering 94.553F1, W1 (ELG6153)
  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.
  Exclusion: Engineering 92.519(ELG5119).
  A.R. Kaye.
• Engineering 94.554F1 (ELG6154)
  Principles of Digital Communication
  Elements of communication theory and information theory applied to digital communications systems. Characterization of noise and channel models. Efficient modulation and coding for reliable transmission. Spread spectrum and line coding techniques.
  Prerequisite: Engineering 94.553 or ELG5119 or the equivalent (may be taken concurrently).
  Exclusion: Engineering 92.556(ELG5375).
  M.S. El-Tanany.
• Engineering 94.557F1 (ELG6157)
  Fundamentals of Discrete Systems
  Introduction to the theory and applications of discrete mathematics to the analysis and design of computer algorithms and data communication systems. Group theory and application to finite state machines; algebras and combinatorial logic design; homomorphic maps and application to group codes; rings and fields and their application to cyclic codes. Graph and tree structures, directed graphs; classes of polynomial and complete and incomplete problems with graph representation.
  S.A. Mahmoud.
• Engineering 94.558F1 (ELG6158)
  Digital Systems Architecture
  New architectural concepts in the design of computer systems are introduced. Discussions include system building blocks (arithmetic units, central processing units, control units, input/output and memory devices) and methods to achieve speed-up (instruction look-ahead, pipe-lining, memory interleaving, associative memory, SIMD and MIMD multiprocessing). Examples of current computer systems are used for discussions.
  Prerequisite: Engineering 94.457 or the equivalent.
• Engineering 94.560W1 (ELG6160)
  Adaptive Signal Processing
  Theory and techniques of adaptive filtering, including gradient and LMS methods; adaptive transversal and lattice filters; recursive least squares; fast recursive least squares; convergence and tracking performance; systolic array techniques. Applications, such as adaptive prediction, channel equalization; echo cancellation; speech coding; antenna beamforming; system identification in control systems; spectral estimation; neural networks.
  Prerequisites: Engineering 94.553 or ELG5119 or equivalent; Engineering 94.562 or ELG5376 or equivalent.
  Exclusion: Engineering 92.580(ELG5377).
  D.D. Falconer.
• Engineering 94.561W1 (ELG6161)
  Neural Signal Processing
  Basic concepts in decision theory and multidimensional function approximation. The least squares adaptive algorithm. The generalized delta rule. Multi-layer perceptrons and the back-propagation algorithm. Approximation of non-linear functions. Radial basis functions. Self-organized maps. Applications of neural signal processing to control, communications and pattern recognition. Software and hardware implementation of neural networks.
  Prerequisite: Engineering 94.553 or ELG6153 or equivalent. May be taken concurrently with 94.553.
  Exclusion: Engineering 92.579(ELG5196).
  H.M. Hafez.
• Engineering 94.562F1 (ELG6162)
  Digital Signal Processing
  Signal representations, Z transform and difference equations. Theory, design of FIR, IIR filters. Discrete Fourier transform: properties, implementation via fast algorithms (radix-m FFT, PFA, WFTA). Chirp-z transform. Cepstral analysis. Decimation/interpolation. Random signal analysis: estimators, averaging, correlation, windowing, Input/output and quantization effects. Application overview: Analog-digital converters (linear, companded), digital audio (CD, DAT), speech analysis and synthesis. Programable DSP microcomputers: contemporary commercial architectures, application to implementation of DSP algorithms. Case studies: Linear predictive coding of speech (LPC), radix/4 FFT, spectograph.
  Exclusion: Engineering 92.557 (ELG5376)
  L.R. Morris.
• Engineering 94.563W1 (ELG6163)
  Digital Signal Processing Microprocessors, Software and Applications
  Digital signal processing (DSP) algorithm structure. Architectural features of general purpose, RISC, and DSP computers. Data representation, addressing, and arithmetic processing. Contemporary single (TMS320C25), dual (DSP56000), and multiple (TM320C30) accumulator/operand commercial architectures. Algorithm/software/hardware architecture interaction. Programing techniques and program examples. Software development cycle. Hardware and software development tools. Program activity analysis techniques. Case studies: linear predictive vocoder, DFT, Echo cancellation. Interfacing and input/output. Codecs.
  Prerequisite: Engineering 94.562 or ELG5376 or the equivalent.
  L.R. Morris.
• Engineering 94.564W1 (ELG6164)
  Advanced Topics in Digital Signal Processing: Array Signal Processing with Applications to Acoustics.
  A course dealing with recent and advanced topics in the field of digital signal processing and its related areas. Students are expected to present one or more seminars.
  Prerequisites: Engineering 94.562 or ELG5376 or the equivalent.
  L.R. Morris and R.A. Goubran.
• Engineering 94.565W1 (ELG6165)
  Advanced Digital Communication
  Digital signalling over channels with intersymbol interference (ISI) and additive Gaussian noise. Error probability analysis. Fading multipath channels as arise in terrestrial Line-of-Sight (LOS) and mobile/ portable communications, diversity concepts: modelling and error probability performance evaluation. Synchronization in digital communications. Spread spectrum in digital transmission over multipath fading channels.
  Prerequisite: Engineering 94.554 or ELG5375 or the equivalent.
  Exclusion: Engineering 92.574(ELG5180)
  D.D. Falconer.
• Engineering 94.566W1 (ELG6166)
  Introduction to Mobile Communications
  Signal strength prediction techniques: propagation models and statistical coverage. Mobile radio channel characterization: statistical characterization of mobile radio fading channel in indoor and outdoor environment, delay spread models and coherence bandwidth, models for digital transmission. Co-channel and adjacent channel interference: interference models, and outage probabilities. Modulation and transmission systems: signal to noise calculations in fading environment, performance of digital systems in fading. Signal processing in mobile radio: diversity and its applications in MRS, impact of diversity on baseband interference, noise and random FM. Adaptive techniques to combat interference and fading: adaptive equalization and adaptive arrays. Introduction to mobile radio systems.
  Co-requisite: Can be taken concurrently with Engineering 94.553 and 94.554.
  A.U. Sheikh.
• Engineering 94.567F1 (ELG6167)
  Source Coding and Data Compression
  Discrete and continuous sources: the rate distortion functions. Discrete source coding: Huffman coding, run length encoding. Continuous source coding: waveform construction coding; PCM, DPCM, delta modulation; speech compression by parameter extraction; predictive encoding; image coding by transformation and block quantization. Fourier and Walsh transform coding. Compression by tree coding. Applications to telecommunication signals and storage; speech, television, facsimile.
  Prerequisite: Engineering 94.553 or ELG5119 or the equivalent.
  M.S. El-Tanany.
• Engineering 94.568W1 (ELG6168)
  Wireless Communication Systems Engineering
  Engineering aspect of mobile radio systems: multi-user environment and transmission systems, traffic engineering and system capacity, concept of frequency reuse and channel allocation algorithms. Public and private mobile radio systems and networks: cellular mobil systems, high capacity analog and digital systems, signalling and protocol issues, vehicle location and handover techniques. Cellular systems of the world. Mobile satellite systems: multibeam geostationary and low orbit satellite systems, on-board processing and switching. Personal communications: microcellular architecture, PCN services, bandwidth on demand concept, intelligent network, universal base station and total system integration. Implementation of mobility in network protocols. Indoor high speed data networks: radio LANs and MANs and their interconnection.
  Co-requisite: Can be taken concurrently with Engineering 94.553 and 94.554.
  A.U. Sheikh.
• Engineering 94.569W1 (ELG6169)
  Digital Television
  Colour television theory: standard systems; NTSC, PAL, SECAM; composite and component signals. Sampling and quantization of television signals. Bandwidth compression: decimation; predictive, transform and hybrid coding. Digital cameras, studios, switching, special effects, recording, transmission and receivers. Evaluation methods.
  D.C. Coll.
• Engineering 94.570W1 (ELG6170)
  Spread Spectrum Systems
  Fundamentals: jamming, energy allocations, system configurations, energy gain, applications such as antijam, low probability of intercept, multiple access, time of arrival. Antijam systems: parameters, jammer waveforms, uncoded and coded direct sequence BPSK, uncoded and coded binary FSK, interleaver/ hop tradeoff, coder BER bounds, cutoff rates, DS-BPSK and pulse jamming bounds, FH-MFSK and partial band jamming bounds, diversity for FH-MFSK, concatenation of codes. Pseudo-noise generators: statistical properties of M sequences, Galois field connections, nonlinear feed forward logic, DS and FH multiple access design. Code synchronizers: single dwell and multiple dwell serial PN acquisition for DS, delay locked loop and Tau-Dither loop PN tracking for DS, time and frequency synchronization for FH.
  T.A. Gulliver.
• Engineering 94.571F1 (CSI5117)
  Operating System Methods for Real-Time Applications
  Principles and methods for operating system design with application to real-time, embedded systems. Concurrent programing: mechanisms and languages; design approaches and issues; run-time support (kernel); I/O handling. Methods for hard real-time applications. Methods for distributed systems. Programing assignments will be in a suitable programing language.
  Prerequisites: Engineering 94.333 or 94.574 or equivalent courses and/or experience. Programing experience in high level and assembly languages.
• Engineering 94.573F1 (ELG6173)
  Integrated Database Systems
  Database definitions, objectives, applications, and architectures. Database design process; conceptual design based on the entity-relationship model and on object-oriented models. Relational data model: relational algebra and calculus, normal forms, data definition and manipulation languages. Implementation of database management systems: data dictionary, transaction management, recovery and concurrency control. Current trends in database systems: object-oriented, knowledge-based, multimedia and distributed databases.
  Prerequisite: Engineering 94.574 or the equivalent.
• Engineering 94.574F1 (ELG6174)
  Elements of Computer Systems
  An overview of basic computer topics which some engineering students may not have covered in their undergraduate programs. Subjects covered include: concepts in computer architecture: 80X86 architecture, assembler, instruction types, addressing modes, memory organization, and debugging. Structures languages: scope rules, dynamic allocation of data, data types, control structures, subroutines. Data structures: stacks, queues, linked lists, binary trees. Multitasking operating system concepts: task interference busy waiting, TAS hardware, deadlock, task scheduling and synchronization, semaphores, producer/consumer problem, monitors. This course is designed for graduate students without extensive undergraduate preparation in computer engineering (or the equivalent experience). Students with the equivalent of a bachelor's degree in electrical or computer engineering, or computer science, would normally proceed directly to courses for which 94.574 is a prerequisite.
  Prerequisites: Permission of the Department, programing experience in at least one high level language and some experience in assembly language programing.
• Engineering 94.576F1 (ELG6176)
  Analytical Performance Models of Computer Systems
  Analytical modelling 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.
  Prerequisite: Engineering 94.503, 94.553 or ELG5119 or the equivalent.
  C.M. Woodside.
• Engineering 94.577W1 (ELG6177)
  Teleprocessing Software Design
  Review of teleprocessing applications, functions and devices. The session, presentation and application layers of the Open System Interconnection Model. Examples: Electronic Mail systems and Distributed Data Bases. Teleprocessing Software Design using high level procedural languages: Concurrent Pascal and Ada. SNA protocols and systems: layering concepts in SNA; distribution of teleprocessing functions and software components. Relationship between SNR and OSI models. Examples of distributed teleprocessing networks and applications in SNA.
  Prerequisites: Engineering 94.521 or ELG5374 and 94.574 or the equivalents.
  S.A. Mahmoud.
• Engineering 94.579F1, W1(ELG6179)
  Advanced Topics in Software Engineering: Management of Software Engineering Projects
  A course dealing with recent and advanced topics in the field of software engineering and related areas. Primary references are recent publications in the field. Students registered in the course are expected to present one or more lectures or seminars on assigned topics.
  Prerequisite: Permission of the Department.
  S.A. Mahmoud and A.J. Bailetti.
• Engineering 94.581F1 (ELG6181)
  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.
  Prerequisites: Engineering 94.521 or ELG5374 or equivalent and permission of the Department.
  A.R. Kaye.
• Engineering 94.582F1 (ELG6182)
  Introduction to Information and System Science
  An introduction to the process of applying computers in problem solving. Emphasis is placed 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.
  (Also offered as Mathematics 70.582, Computer Science 95.582 and Information and Systems Science 93.582)
• Engineering 94.583W1 (ELG6183)
  Logic Programing
  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.
  Bernard Pagurek.
• Engineering 94.584F1, W1 (ELG6184)
  Advanced Topics in Communications Systems
  Recent and advanced topics in communications systems. Students registered in the course are expected to present one or more lectures or seminars on assigned topics.
  Prerequisite: Permission of the Department.
• Engineering 94.586F1 (ELG6186)
  Object Oriented Design of Real-Time and Distributed Systems
  Conceptual views of OO and RTD software at different scales of resolution. Principles of software architectures: wired and wireless architectures; factored architectures; contracts, protocols, threads; concurrency and real-time issues; visualization; notations; relation to OO and RTD domains. Threaded OO design process with examples. Implications for designing evolving systems. Relationship to OO and RTD implementation technologies, to textbook OO and RTD notations, and to current commercial and emerging tools.
  Prerequisite: Permission of the Department. The course expects a familiarity with real-time systems and design issues typified by the 94.202/94.303/ 94.333 undergraduate courses. Some familiarity with OO concepts and at least one OO programing language is highly desirable but not required.
  R.J.A. Buhr.
• Engineering 94.587F1, W1, S1 (ELG6187)
  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 modelling/analysis. Students may be expected to contribute to lectures or seminars on selected topics.
  Prerequisite: Permission of the Department.
• Engineering 94.588W1 (ELG6188)
  Communications Network Management
  Overview of 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, models and algorithms. Current diagnostic theory and its limitations. AI and machine learning approaches. Monitoring and fault management tools, examples, recent products.
  Prerequisite: Engineering 94.521 or equivalent.
  Bernard Pagurek.
• Engineering 94.590F1, W1, S1
  Systems Engineering Project
  Students pursuing the non-thesis M.Eng. program will conduct an engineering study, analysis, and/or design project under the supervision of a faculty member. Results will be given in the form of a typewritten report and presented at a departmental seminar.
• Engineering 94.591F2, W2, S2
  Systems Engineering Project
  Project similar to Engineering 94.590, but either of greater scope or longer duration. Results will be given as a typewritten report and presented in a seminar.
• Engineering 94.593F2, W2, S2
  Cooperative Program Project
  A one-term course, carrying a full-course credit, for students pursuing the cooperative M.Eng. program. An engineering study, analysis, and/or design project under the supervision of a faculty member. Results will be given in the form of a written report and presented orally. This course may be repeated for credit.
• Engineering 70/94/95.595F4, W4, S4
  M.C.S. Thesis
• Engineering 94.596F1, W1, S1 (ELG6196)
  Directed Studies
• Engineering 70/93/94/95.598F3, W3, S3
  M.Sc. Thesis in Information and Systems Science
• Engineering 94.599F4, W4, S4
  M.Eng. Thesis
• Engineering 94.699F, W, S
  Ph.D. Thesis

The following are courses in the field of management of engineering processes, and begin with the prefix 96.

• Engineering 96.501F1
  Management Principles for Engineers
  Management topics critical for dynamic telecommunications technology-based companies to compete through the introduction of new products into the global market. The course is intended to create a common level of knowledge among students on topics in management of projects, leadership, basic managerial economics, industrial marketing and organizational behaviour.
• Engineering 96.502F1
  Telecommunications Technology
  Comprehensive review of the fundamentals of telecommunications technology. The importance of bandwidth, communications reliability and networks are emphasized. Topics covered include: the nature of information sources and the coding of their outputs; nature of channels and their characteristics; nature of signals and their behaviour in physical channels, their generation and reception; nature of interconnection, networks, signaling and switching; role of standards and regulation; the characteristics of major world systems and operators; and the thrust of new and future technology.
• Engineering 96.503W1
  Issues in Telecommunications
  This is a seminar in which leaders of industry, academia and government discuss key issues and readings relevant to the telecommunications industry. These issues include the introduction of new products to the global market, technology sourcing, intellectual property rights, industry trends, technology and ethics, user interface design, new business opportunities and product identification, industry characteristics, regulation, and international competition.
• Engineering 96.504W1
  Management of Design Systems
  The focus is on how to design, maintain, expand and evolve an organization that delivers hardware, software and system designs and on the frameworks, methods and tools used to improve its performance. Topics include the essence of design; unique aspects of designing telecommunications systems, products and services; characteristics of a development organization and its environment; mental models supporting the frameworks, methods and tools used to reduce interval, improve design quality and increase productivity; and applications.
  Prerequisite: Engineering 96.501 and 96.502.
• Engineering 96.505S1
  Management of Telecommunications System Design
  The focus is on the groups that evolve the architecture and technological infrastructure of firms and product management. Topics include the relationships between architecture, system design, system product and product management; product function and performance; appropriability regimes; interdependence between technology and complementary assets; acquisition and diffusion of technology; evolution of design environments; integration of projects; and capability improvement models.
  Prerequisite: Engineering 96.501 and 96.502.
• Engineering 96.506W1
  Management of Software Engineering Projects
  Models for software development life cycle. Earned-value models for project control. Software project management tools. Configuration management and quality control. Incorporation of testing tools and techniques in the software development life cycle. Risk assessment. Risk management. Examples are drawn from software development in telecommunications applications.
  Prerequisite: Engineering 96.501 and 96.502.
• Engineering 96.508S1
  Corporate Communications Networks
  Communications networks as a vital resource within organizations. Private networks as an infrastructure for information flow within a firm and across its interfaces. Applications and operations of corporate telecommunications networks. Information networking as a source of competitive advantage. Issues in the selection of corporate telecommunictions architectures. Comparison of public and private corporate networks. Implementation issues.
  Prerequisite: Engineering 96.501 and 96.502.
• Engineering 96.510S1
  Communications Standards
  Importance of global standards in telecommunications and information technology for product development, business and society. Relevant public standards classified by type. National, international and quasi-standards bodies that establish public standards, their characteristics, roles and relationships. The standards setting process. Formulation and execution of standards strategies. Integrating the firm's standards program with engineering processes, product management, systems groups and marketing. Coordinating the network of internal and external groups involved in the development of standards to gain competitive advantage. Corporate standards. Standards conformance and inter-operability. Standards and the new product introduction process. Special topics pertaining public and corporate standards.
  Prerequisite: Engineering 96.501 and 96.502.
• Engineering 96.511W1
  Manufacturing and New Product Introduction
  The new product introduction process; overall philosophy of just-in-time and time-based competition and its application to new product introduction; the voice of the customer, lead user analysis, quality function deployment; manufacturing in the front-end; manufacturing and design, concurrent engineering and design for manufacturability; cost estimation and activity based costing; managing CAD/CAM and manufacturing process selection; impact of new product introduction on existing operations including prototyping, pre-production and ramp-up.
  Prerequisite: Engineering 96.501 and 96.502.
• Engineering 96.512F1
  Managing Full-Scale Production
  Overall philosophy of just-in-time and time-based competition; just-in-time production and manufacturing resource planning; total quality management including vendor relations; socio-technical systems and employee participation; computer integrated manufacturing and advanced process technologies; manufacturing and facilities strategy, capacity planning; manufacturing flexibility; product/process evolution and the experience curve; service aspects of manufacturing.
  Prerequisite: Engineering 96.501 and 96.502.
• Engineering 96.513F1,W1,S1
  Advanced Topics in Telecommunications Technology Management
  In-depth exploration of an advanced topic in the field of telecommunications technology management. A different topic is covered each semester and more than one section with different topics, may be offered in the same semester.
  Prerequisite: One of Engineering 96.504, 96.505, 96.511 or 96.512.
• Engineering 96.514F1,W1,S1
  Directed Studies in Design and Manufacturing Management
  This course is directed by one or more instructors. The student explores, through extensive literature surveys, specific topics not suitably covered by existing courses, in the areas of design and manufacturing management. The objective of the course is to enable the student to study a specific topic to acquire a suitable background to initiate and complete thesis work requiring this preparation. This course precludes credit for any other directed studies in the program.
• Engineering 96.591F2,W2,S2
  M.Eng. Project
• Engineering 96.599F4,W4,S4
  M.Eng. Thesis