Department of Systems and Computer Engineering
Mackenzie Bldg. 377

The Department
  Chair of the Department:  S.A. Mahmoud
  Associate Chair for Graduate Studies:  G.M. Karam

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 119.

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 192 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
174 of this calendar.

The departmental program centers 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

  *   Modeling 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 systems play a central role in the research and teaching activities
of the department. The facilities available to the student include over fifty
SUN workstations on an Ethernet local area network, multiprocessor target
systems, and many other stand-alone and networked microcomputer workstations.

The department is a major partner in the Ottawa-Carleton Center 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 Center for
Excellence TRIO (Telecommunications Research Institute of Ontario) and CITR
(Canadian Institute for Telecommunications Research). Current research areas
of the centers with major participation from our 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.

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 Center, NRC, Bell Northern ResearchLaboratories,
Gandalf, Bell Canada and Department of National Defence.

Students wishing to pursue a computing specialization in systems engineering
may be required to take appropriate undergraduate computing science courses
for which credit may be allowed.

Graduate Courses

* Engineering 94.501W1 (CSI5120)
  Simulation and Modeling
  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, harbors and airport capacity
  planning, manufacturing capacity planning, inventory systems.

* Engineering 94.504F1 (ADM6371)
  Mathematical Programming for Engineering Applications
  An introduction to algorithms used for the optimization of complex
  systems. Topics include linear programming (with duality and
  post-optimality analysis), nonlinear programming, dynamic programming
  integer and mixed-integer programming and combinatorial search methods,
  and network flow programming. Emphasis is on practical algorithms for
  engineering applications, e.g. VLSI design, message routing, etc.
  J.W. Chinneck.

* Engineering 94.505W1 (CSI5150)
  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
  programming: 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 94/95.507F1 (CSI5307)
  Expert Systems
  This course will include: survey of some landmark expert systems; types
  of architecture and knowledge representation; inferencing techniques;
  approximate reasoning; truth mainten-ance; 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)
  Computer System Design for Performance
  Methods for deriving quantitative design parameters within an
  architectural and configuration framework to meet design requirements on
  performance parameters, such as the throughput capability or response time
  of a system. Applications to embedded systems (signal processors,
  switches, etc.), multi-user systems, tightly and loosely coupled
  distributed processors.
  Prerequisites:  Engineering 94.553 or ELG5119 and 94.574 or equivalent,
  and a course in computer architecture.
  C.M. Woodside.

* 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 know-ledge 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:
  languages (CSP, SDL, augmented C), communicating state-machine models, and
  Petri nets. Analysis of distributed system behavior, based on these
  models. Protocols: theory, practical limitations, specification and
  validation techniques, layered structure. ISO protocol model: transport
  session, presentation and application levels, the Estelle language. Design
  examples: interprocess communications, file transfer, factory automation.
  Prerequisites: Engineering 94.521 or ELG5374;
  and 94.571 or the equivalent.
  C.M. Woodside.

* 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 behavior 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 technniques 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 programming 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 94.532W1 (ELG6132)
  Systems Design
  A comprehensive design methodology for implementing systems using VLSI
  components is expounded and illustrated. It establishes and illustrates
  this using digital signal processing as a case study. The first part of
  the course establishes the overall methodology, and places it in
  perspective with many existing approaches. It then systematically
  illustrates each step from user requirements, to logical design, to
  algorithm partitioning and architectural allocation. Examples include
  designs using existing components, as well as considerations for
  user-defined chips.
  Prerequisite: Engineering 94.558 (or the equivalent).

* Engineering 94.533F1 (ELG6133)
  Digital Systems Engineering
  This course is concerned with the totality of activity involved in
  creation of a digital system. It includes as components both hardware and
  software engineering, and extends these disciplines to an overall system.
  Topics include system design methodologies and strategies; representation
  and discipline mechanisms; constraints; reporting and documentation;
  interface to manufacturing; quality assurance and maintenance; design
  reviews; sub-specifications of software and hardware, and their
  integration and control. Examples are drawn from areas such as signal
  proccessing, computer communications, and intelligent terminals.
  Prerequisite: Engineering 94.532 or the equivalent.

* 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 are studied, experimented
  with, and presented by students to the class. This is a colloquium course
  with most lectures consisting of student presentations/discussions,
  supplemented from time to time by talks fom invited experts on topics of
  particular interest. In addition to in-class presentations, a final,
  written report is required from each student. 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. Enrollment is limited by
  laboratory facilities and the colloquium nature of the course.
  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 94.539F1, W1 (ELG6139)
  Advanced Topics in Digital Systems Design
  A course dealing with recent and advanced topics in the field of digital
  systems design and related areas. Students registered in the course are
  expected to present one or more lectures or seminars on assigned topics.
  Prerequisites: Engineering 94.533 or the equivalent and the permission
  of the department.

* Engineering 94.540W1 (ELG6140)
  Topics in Office Automation
  The course examines office technology from three points of view: the
  technology, the individual user and the organization. Selected
  technologies, human-machine interaction, the organization and
  productivity. Selected topics from recent research papers with emphasis
  on applications of knowledge systems. Students will undertake a
  substantial project either individually or in groups as part of the
  course.
  Prerequisite: Permission of the department.
  Students should have completed several graduate courses or have had
  previous experience of technology in the office and have a good knowledge
  of computers.
  A.R. Kaye.

* 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. Students will do extensive reading of current
  literature and present a seminar.
  Prerequisites: Engineering 94.553 or ELG5119 or equivalent; Engineering
  94.562 or ELG5376 or equivalent.
  D.D. Falconer, W.F. McGee.

* Engineering 94.561W1 (ELG5361)
  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.
  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. Programmable DSP microcomputers: contemporary commercial
  architectures, application to implementation of DSP algorithms. Case
  studies: Linear predictive coding of speech (LPC), radix/4 FFT,
  spectograph.
  Prerequisite: Engineering 94.553 or ELG5119 or the equivalent (may be
  taken concurrently).
  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. Programming 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.
  Micro-programmable bitslice processors, application specific chips (ASIC):
  Pro's/con's versus programmable DPS processors.
  Prerequisite: Engineering 94.562 or ELG5376 or the equivalent.
  L.R. Morris.

* Engineering 94.564W1 (ELG6164)
  Advanced Topics in Digital Signal Processing: Speech Communications and
  Applications
  Mathematics of signal processing. Digital filtering. Anatomy and
  physiology of speech production. Articulatory and acoustic phonetics.
  Speech production. Vocal tract models. The ear and auditory perception.
  Speech perception, modeling, and time/frequency domain analysis/
  synthesis. Subband, homomorphic, and linear predictive coding
  techniques. Vocoders: formant, LPC (pitch, multi-pulse, residual
  excitation); implementation issues. Speech and speaker recognition.
  Commercial special purpose chip-based speech analysis/synthesis systems.
  Programmable DSP's. Case studies: LPC and formant-based
  analysis/synthesis, pitch extraction on TMS 320 family.
  Prerequisite:Engineering 94.562 or ELG5376 or the equivalent.
  L.R. Morris.

* 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: modeling and error probability
  performance evaluation. Synchronization in digital communications. Spread
  spectrum in digital transmission over multipath fading channels. Optical
  communications and networking over fiber and atmosphere. Shot noise, laser
  intensity noise and Gaussian noise performance limits.
  Prerequisite: Engineering 94.554 or ELG5375 or the equivalent.
  Exclusion: Engineering 92.574(ELG5180)
  D.D. Falconer.

* Engineering 94.566W1 (ELG5366)
  Theory of Communication Channels
  Fundamentals of signal transmissions: channel transfer functions,
  magnitude and phase response and their impact on analog and digital signal
  transmission. Channel impairments: Gaussian and non-Gaussian noise,
  interference, fading, shadowing and frequency selectivity. Statistical
  characterization of time varying channels: magnitude, phase, delay spread
  and impulse response descriptions. WSS and QWSS channels. Channel
  measurement techniques. Signal transmission through impaired channels:
  methods to mitigate effects of channel impairments: diversity,
  equalization and interference control. Modulation formats and receiver
  structures for impaired channels. Exam-ples of communication channels:
  mobile and portable radio channel, indoor wireless channel, subscriber
  loops, coaxial cable, optical fiber and microwave channels.
  Prerequisites: Engineering 94.553 or ELG6153 or equivalent; Engineering
  94.460 or equivalent.
  A.U.H. Sheikh, S.A. Mahmoud.

* 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.
  D.D. Falconer.

* Engineering 94.568W1 (ELG6168)
  Mobile Communications Systems
  Introduction to mobile communication systems.  Signal strength prediction
  techniques. Propagation models. Statistical coverage. Traffic analysis and
  resource allocation. Speech encoding for mobile application. Voice and
  data integration. Mobile communication systems: paging system design
  considerations, coverage planning, data rates, protocols and channel
  coding. Cellular systems, concepts of frequency reuse, cell planning and
  interference control, access and protocols, second generation cellular
  mobile systems. Frequency management and channel assignment and system
  evaluation. Personal communication systems, examples of current and future
  proposed schemes. Indoor office, data requirements, access technologies
  and network architecture and planning. Integration of PCN with switched
  telephone network.
  Prerequisite: Engineering 94.554 or ELG5375 or the equivalent.
  A.U.H. Sheikh.

* Engineering 94.569W1 (ELG6169)
  Digital Television
  Color 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 94.571F1 (CSI5117)
  Mini/Microcomputer Operating System Design
  Principles and practice of structured operating system design with
  emphasis on real-time, embedded systems. Concurrent programming:
  mechanisms and languages; design approaches and issues; run-time support
  requirements (kernel); I/O handling. Embedded versus general purpose
  operating systems. Distributed operating systems. Examples drawn from Ada,
  RMX, VRTX, Harmony, Unix, VMS and others. Programming assignments will be
  in a suitable language.
  Prerequisites: Engineering 94.333 or the equivalent (course or
  experience), PASCAL or similar programming experience.

* Engineering 94.573F1 (CSI5115)
  Integrated Database Systems
  Database definitions, objectives and applications, standard architectures,
  e.g. ANSI/SPARC archi-tecture; database design process; data dictionary;
  the entity-relationship model. Network model; the relational approach,
  relational algebra and calculus, normal forms; hierarchical model. Design
  and integration issues in database machines, distributed database and
  knowledge based systems.
  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: Programming experience in at least one high level language
  and some experience in assembly language programming.

* Engineering 94.576F1 (ELG6176)
  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.
  Prerequisite: Engineering 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.
  Telepro-cessing 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 (CSI5112)
  Advanced Topics in Software Engineering
  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.

* 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 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.
  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.
  Prerequisites: Permission of the department.

* Engineering 94.585W1 (ELG6185)
  Logic Programming: Techniques and Applications
  Advanced programming techniques for selected applications of logic
  programming: language translators, interpreters, expert systems. Prolog
  language: review of basic logic programming techniques, language features,
  date representation. Program design; design principles, graphics design
  notation, paradigms, and methodology. Advanced techniques include:
  searching, grammars, meta-interpreters, incomplete structures.
  Implementation of Prolog. Each student is expected to complete a
  substantial project as part of the course requirements.
  Prerequisite: Engineering 94.583 or the equivalent.
  (Students are expected to be familiar with Edinburgh-style Prolog).
  G.M. Karam.

* Engineering 94.589W1 (ELG6189)
  Advanced Topics in Measurements and Models
  Recent and advanced topics in optimization, queuing theory, dynamic
  systems, estimation for systems analysis, the theory of networks, and
  similar areas. A seminar course for Ph.D. students and (with permission)
  advanced master's students.
  C.M. Woodside.

* 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  94.592T2
  Systems Engineering Project
  (Same description as Engineering 94.591, but spread over two terms).

* 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