Graduate Calendar Archives: 2001 / 2002

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 p. 137 of this Calendar.

The programs are described in more detail below.

Fields of Research and Study

Research in the Department 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 Systems

Analysis Techniques

Management of Engineering Processes

Course work provides students with the fundamental material and allows specialization in one or more of the above areas as desired. Thesis topics include both theoretical studies and the related problems of practicable realizations.

Industrial Connections

The Department is a member of several Centres of Excellence:

Current research areas of the centres with major participation from the Departments 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 of the technology-oriented industry-government-university complex in the Ottawa area. Co-operative projects are in progress with Nortel, Newbridge, Mitel, Stentor, the Department of Communications, Communications Research Centre, NRC, Bell Canada and the Department of National Defence. We are also involved in the Research Program in Managing Technological Change (MATCH), which is of particular interest to students in the M.Eng. in Telecommunications Technology Management.

Research Facilities

The Department has an excellent collection of facilities for advanced research in systems and computer engineering. There are about 100 engineering workstations, primarily SUN, but also NT and other types, on an Ethernet local area network, multiprocessor target systems, and many other stand-alone and networked workstations. The network is part of the Internet and so has access to the World Wide Web, electronic mail, network news, and much public domain research software. There are also numerous high-end PCs and Macintosh computers, many equipped for desktop video conferencing.

Software includes all of the standard programming and AI languages, symbolic algebra systems, wordprocessors, and various packages specific to telecommunications, signal processing, performance analysis, software engineering, and other areas of research.

The communications and image and signal processing labs provide state-of-the-art test, measurement, and prototyping facilities which include radio transmission and test equipment (up to EHF frequencies), co-processor boards, audio equipment, data acquisition hardware, interactive video conferencing lab equipment, robots, etc.

The main research laboratories include the following:

Master of Engineering in Electrical Engineering

The M.Eng in Electrical Engineering is offered through the Ottawa-Carleton Institute for Electrical and Computer Engineering (OCIECE) which is jointly administered by the Department of Systems and Computer Engineering and the Department of Electronics at Carleton University, and the School of Information Technology and Engineering at the University of Ottawa. For further information about the M.Eng. in Electrical Engineering, including admission and program requirements, please see the OCIECE information beginning on p. 158.

The M.Eng. is also available as part of ConGESE (Consortium for Graduate Education in Software Engineering), a collaborative program offering a specialization in software engineering. This program is geared towards software professionals working for participating industrial partners. The ConGESE program imposes further regulations and requirements on the existing program. The degree awarded will in each case specify the discipline of the participating unit with specialization in software engineering. Additional information is available from the graduate supervisor.

Doctor of Philosophy in Electrical Engineering

The Ph.D. in Electrical Engineering is offered through the Ottawa-Carleton Institute for Electrical and Computer Engineering (OCIECE) which is jointly administered by the Department of Systems and Computer Engineering and the Department of Electronics at Carleton University, and the School of Information Technology and Engineering at the University of Ottawa. For further information about the Ph.D. in Electrical Engineering, including admission and program requirements, please see the OCIECE information beginning on p.158.

Master of Science in Information and Systems Science

The M.Sc. in Information and Systems Science is specifically designed for those who do not have a background in electrical engineering or computer science. This program is offered in cooperation with the School of Computer Science and the School of Mathematics and Statistics at Carleton University. Please see p. 209 for details.

Master of Engineering in Telecommunications Technology Management

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:

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.

All master's students in the thesis option are required to complete a total of 5.5 credits as follows:

Master's Degree by Project

All master's students in the project option are required to complete a total of 5.5 credits of which at least 5.0 must be at the 500-level or above, as follows:

Restricted Elective Courses

Students in the master's program must complete 1.0 credit in the field of management of engineering processes and 1.0 credit in communication 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:

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, 94.511, 94.531, 94.535, 94.553, 94.571, 94.573, 94.574, 94.576, 94.577, 94.579, 94.582
• Wireless and Satellite Communications
  94.553, 94.554, 94.566, 94.568
• Network Design, Protocols and Performance
  94.501, 94.504, 94.505, 94.507, 94.511, 94.519, 94.521, 94.527, 94.553, 94.567, 94.576, 94.581, 94.588
• Manufacturing Systems Analysis
  94.501, 94.504, 94.582, 92.527
• Management of Engineering Processes
  96.504, 96.505, 96.506, 96.508, 96.510, 96.511, 96.512, 96.513, 96.514

Non-Restricted Elective Courses

All students in the project option of the master's program are required to complete 1.0 credit 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

Not all of the following courses are offered in a given year. For an up-to-date statement of course offerings for 2001-2002, please consult the Registration Instructions and Class Schedule booklet published in the summer.

F,W,S indicates term of offering. Courses offered in the fall and winter are followed by T. The number following the letter indicates the credit weight of the course: 1 denotes 0.5 credit, 2 denotes 1.0 credit, etc.

Courses in the field of communication systems engineering are described below. Courses in the field of management of engineering processes are described beginning on p. 334.

Engineering 94.501W1 (ELG6101)

Simulation and Modelling

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 modelling, simulation and problem solving using SIMSCRIPT, MODSIM and other languages.

Engineering 94.503F1 (ELG6103I)

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.

Engineering 94.504F1 (ELG6104)

Mathematical Programming 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

Engineering 94.505W1 (ELG6105)

Optimization Theory and Methods

Advanced theory, algorithms and computer methods for optimization. Interior point methods for linear optimization, advanced methods for nonlinear and mixed-integer optimization. Search methods. Applications in engineering.

Prerequisite: Engineering 94.504 or the equivalent.

Engineering 94.506W1 (ELG6106)

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.

Prerequisites: Engineering 94.333 and 94.578 or similar experience.

Engineering 94/95.507F1 (ELG6107)

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: Computer Science 95.407 or 95.501 or permission of the Department.

Engineering 94.511W1 (ELG6111)

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.

Prerequisite: Engineering 94.574 and a course in software engineering, or the equivalent.

Engineering 94.512W1 (ELG6112)

Performance Measurement and Modelling 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.

Prerequisite: Engineering 94.511 or the equivalent.

Engineering 94.513

Software Agents

Agent-based programming; elements of Distributed Artificial Intelligence; beliefs, desires and intentions;component-based technology; languages for agent implementations; interface agents; infomration sharing and coordination; KIF; collaboration; communication; ontologies; KQML; autonomy; adaptability; security issues; mobility; standards; agent design issues and frameworks, applications in telecommunications.

Prerequisite: Knowledge of Java, C/C++ or Smalltalk.

Engineering 94.515

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.

Precludes additional credit for CSI5111 (Computer Science 95.551).

Prerequisites: An undergraduate course in software engineering such as Engineering 94.480 or SEG3300, or equivalent, and basic statistics.

Engineering 94.518W1 (ELG6118)

Topics in Information Systems

Recent and advanced topics in the field of Information Systems and its related areas.

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 94.520F1 (ELG6120)

Algebraic Coding Theory

Review of Algebra, Finite Fields, Linear Block Coldes 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.

Precludes additional credit for Engineering 94.557 (ELG6157).

Engineering 94.521F1 (ELG6121)

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.

Precludes additional credit for Engineering 92.567 (ELG5374) or 94.462 (ELG4181).

Prerequisite: Undergraduate preparation in probability theory equivalent to Mathematics 69.352.

Engineering 94.527W1 (ELG6127)

Distributed Systems Engineering

Techniques for representing distributed systems: precedence graphs, petrinets, communicating state-machines etc. Processes, threads, synchronization and inter-process communication techniques, RPC. Protocol: OSI model, application and presentation layers. Middleware for client-server application management, CORBA. Resource management: processor allocation and load sharing. Real-time issues and scheduling.

Prerequisites: Permission of the Department.

Engineering 94.530

Health Care Engineering

Overview of helath care system/participants; biophysical measurements for diagnosis/monitoring; biomedical sensors/technology; telemedicine and applications; safety considerations; managing medical technologies/funding models for clinical engineering departments; considerations for developing countries.

Precludes additional credit for ELG5123 (Engineering 95.526)

Prerequisite: Permission of the instructor.

Engineering 94.535F1 (ELG6135)

Representations, Methods and Tools for Concurrent Systems

Selected representations and methods for concurrent systems, such as UML, UML-RT, SDL, supported by current and emerging CASE tools. Comparison, differences, advantages and disadvantages. A colloquium course with most lectures consisting of student presentations based on experience with different CASE tools. Limited enrolment

Prerequisite: Permission of the Department.

Engineering 94.536

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.

Precludes additional credit for Computer Science 95.542 and 95.534 (CSI5169)

Prerequisites: Engineering 92.567 (ELG5374) or 94.521 (ELG6121) or permission of the Department.

Engineering 94.541F1 (ELG6141)

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.

Prerequisite: Engineering 94.552 or equivalent.

Engineering 94.542F1 (ELG6142)

Advanced Dynamics With Applications to Robotics

Lagrange equations and Hamilton's principle. Dynamics of lumped parameter and contiuous 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.

Engineering 94.552F1 (ELG6152)

Advanced Linear Systems

Modelling 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.

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.

Precludes additional credit for Engineering 92.519 (ELG5119).

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. 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.

Precludes additional credit for Engineering 92.556 (ELG5375).

Prerequisite: Engineering 94.553 or ELG5119 or the equivalent (may be taken concurrently).

Engineering 94.556 (ELG5170)

Information Theory

Measure of information: entropy, relative entrophy, mutual information, asymptotic equipartition property, entropy rates for stochastic processes; Data compression: Huffman code, arthmetic 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: 94.553 (ELG6153) or ELG5119 (92.519) or equivalent.

Precludes credit for 92.551 (ELG5170)

Engineering 94.558F1 (ELG6158)

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.

Prerequisite: Engineering 94.457 or the equivalent.

Engineering 94.560W1 (ELG6160)

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.

Precludes additional credit for Engineering 92.580 (ELG5377).

Prerequisites: Engineering 94.553 or ELG5119 or equivalent; Engineering 94.562 or ELG5376 or equivalent.

Engineering 94.561W1 (ELG6161)

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.

Precludes additional credit for Engineering 92.579 (ELG5796).

Prerequisite: Engineering 94.553">94.553 or ELG6153 or equivalent. May be taken concurrently with 94.553">94.553.

Engineering 94.562F1 (ELG6162)

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.

Precludes additional credit for Engineering 92.557 (ELG5376).

Engineering 94.563W1 (ELG6163)

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.

Prerequisite: Engineering 94.562 or ELG5376 or the equivalent.

Engineering 94.564W1 (ELG6164)

Advanced Topics in Digital Signal Processing

Recent and advanced topics in the field of digital signal processing and its related areas.

Prerequisites: Engineering 94.562 or ELG5376 or the equivalent.

Engineering 94.565W1 (ELG6165)

Advanced Digital Communication

Techniques and performance of digital signalling and equalization over linear bandlimited channels with additive Gaussian noise. Fading multipath channels: diversity concepts, modelling and error probability performance evaluation. Synchronization in digital communications. Spread spectrum in digital transmission over multipath fading channels.

Precludes additional credit for Engineering 92.574 (ELG5780).

Prerequisite: Engineering 94.554 or the equivalent.

Engineering 94.566W1 (ELG6166)

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.

Co-requisite: Can be taken concurrently with Engineering 94.553 and 94.554.

Engineering 94.567F1 (ELG6167)

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.

Prerequisite: Engineering 94.553 or ELG5119 or the equivalent.

Engineering 94.568W1 (ELG6168)

Wireless Communications Systems Engineering

Multiuser 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.

Corequisites: Engineering 94.553 or ELG5119, and 94.554 or ELG5375, or their equivalents.

Engineering 94.569W1 (ELG6169)

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.

Engineering 94.570W1 (ELG6170)

Spread Spectrum Systems

Types of spread spectrum systems, FH and DS-SS, Hybrid DS/FH-SS. Pseudo-noise generators: statistical properties of M sequences, Galois field connections, Gold codes. Code tracking loops, initial synchronization of receiver spreading code. Performance in jamming environments and fading channels. Code division multiple access systems.

Prerequisite: Engineering 94.554 or (ELG 6154) or the equivalent.

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 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.

Prerequisites: Engineering 94.333 or 94.574 or equivalent courses and/or experience. Programming experience in high level and assembly languages.

Engineering 94.573F1 (ELG6173)

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.

Prerequisite: Engineering 94.574 or the equivalent.

Engineering 94.574F1 (ELG6174)

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 the equivalent experience).

Prerequisites: Programming experience with at least one high level language and permission of the Department.

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.

Engineering 94.578 (ELG6178)

Development of Real-Time and Distributed Software with Reusable Components

Advanced object-oriented design and programming of real-time and distributed systems using C++ and/or Java. Object-oriented features: inheritance, polymorphism, templates, exception handling. Concurrency issues. Design patterns and frameworks for distributed systems, with examples from communication applications. Design issues for reusable software.

Prerequisites: Knowledge of C++ and/or Java, of operating system concepts, and permission of the Department.

Engineering 94.579F1, W1(ELG6179)

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.

Prerequisite: Permission of the Department.

Engineering 94.580F1 or W1, (ELG 6180)

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.

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.

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 listed as Mathematics 70.582, Computer Science 95.582 and Information and Systems Science 93.582)

Engineering 94.583W1 (ELG6183)

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.

Engineering 94.584F1, W1 (ELG6184)

Advanced Topics in Communications Systems

Recent and advanced topics in communications systems.

Prerequisite: Permission of the Department.

Engineering 94.586F1 (ELG6186)

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.

Precludes additional credit for Computer Science 95.543.

Prerequisite: Permission of the Department.

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 modeling/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

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.

Prerequisite: Engineering 94.521 or equivalent.

Engineering 94.590F1, W1, S1

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.

Engineering 94.591F2, W2, S2

Systems Engineering Project

Project similar to Engineering 94.590, but either of greater scope or longer duration.

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. 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

Develops a common level of knowledge among students on topics in project management, leadership, industrial marketing, managerial economics and organizational behaviour. These topics are relevant for engineers and computer scientists who manage the engineering processes that deliver innovative telecommunications systems, products and services.

Engineering 96.502F1

Telecommunications Technology

Fundamentals of telecommunications technology with emphasis on importance of bandwidth, communications reliability and networks. Topics include: information sources and coding of outputs; channel characteristics; signals; networks, signalling and switching; standards and regulation; major world systems and operators; and the thrust of new and future technology.

Engineering 96.503W1

Issues in Telecommunications

Discussion of key readings relevant to the telecommunications industry. Topics 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 organizations that deliver hardware, software and systems designs, and on the methods and tools used to improve their performance. Topics include: essence of design; how to set-up and lead fast-to-market organizations.

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 infrastructures of firms and on product management. Topics include: relationship between architecture and product management; appropriability regimes; technology and complementary assets; managing projects that deliver products at different stages of their life cycles.

Prerequisite: Engineering 96.501 and 96.502.

Engineering 96.506W1

Management of Software Engineering Projects

Models for the development of software. Software project management tools. Quality control. Risk assessment and 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. Networks as a source of competitive advantage. 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 and business. Relevant public standards classified by type. The standards setting process. Formulation and execution of standards setting strategies. Integrating the firm's standards program with engineering processes, product management, systems groups and marketing

Prerequisite: Engineering 96.501 and 96.502.

Engineering 96.511W1

Integrated Product Development

The new product introduction process and time-based competition, basic concepts of integrated product development (concurrent engineering), the voice of the customer, quality function deployment, cross-functional teams, integrating information systems and technical tools, organizational support, manufacturing and design, cost estimation, implementation problems.

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; socio-technical systems and employee participation; advanced manufacturing; 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

The student explores, through extensive literature surveys, specific topics in the areas of design and manufacturing management. The objective is to acquire a suitable background to initiate and complete thesis work requiring this preparation. 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

Engineering 96.514F1,W1,S1

Directed Studies in Design and Manufacturing Management

The student explores, through extensive literature surveys, specific topics in the areas of design and manufacturing management. The objective is to enable study on a specific topic to acquire a suitable background to initiate and complete thesis work. Precludes credit for any other directed studies.

Engineering 96.591F2,W2,S2

M.Eng. Project

Engineering 96.599F4,W4,S4

M.Eng. Thesis