|
Instruction offered by members of the Department of Electrical and Computer Engineering in the Schulich School of Engineering.
Department Head - W. Rosehart
Associate Heads – M. Potter (Undergraduate), A. Fapojuwo (Graduate)
Director of Undergraduate Program for Electrical and Computer Engineering – N. Bartley
Director of Undergraduate Program for Software Engineering – M. Moussavi
|
|
|
Computer Engineering
339
|
Programming Fundamentals
|
|
Pointers and references, memory models and memory management. Manipulation of text files and binary files. Abstract data types (ADTs): implementation of ADTs as classes. Introduction to recursion.
Course Hours:
H(3-1T-1.5)
Prerequisite(s):
Engineering 233.
|
| back to top | |
|
|
Computer Engineering
369
|
Computer Organization
|
|
Organization of a simple stored-program computer: CPU, busses and memory. Instruction sets, machine code, and assembly language. Conventions for assembly language generated by compilers. Floating-point number representation. Hardware organization. Address translation and virtual memory. Input/output devices, computer interfacing, interrupt handling and multi-tasking systems.
Course Hours:
H(3-1T-1.5)
Prerequisite(s):
Computer Engineering 339 and Electrical Engineering 353.
|
| back to top | |
|
|
Computer Engineering
467
|
Digital Electronic Circuits
|
|
MOS transistor fundamentals (D.C. characteristics, large signal model, transient behaviour). Transistor level implementation of standard MOS logic gates. Other MOS logic blocks. MOS memory (static and dynamic). Interfacing various logic families. Introduction to integrated circuit design.
Course Hours:
H(3-1T-3/2)
Prerequisite(s):
Electrical Engineering 343 and 361.
|
| back to top | |
|
|
Computer Engineering
491
|
Real-Time Systems Design
|
|
Requirements for real-time systems. Design of embedded systems. Development of applications to run on real-time operating systems.
Course Hours:
H(3-2/2)
Prerequisite(s):
Prerequisites for Computer and Software Engineering students: Computer Science 457 and Computer Engineering 511. Prerequisites for Computer Science students: Computer Science 325 and 457.
|
| back to top | |
|
|
Computer Engineering
501
|
Principles of Computer Architecture
|
|
Input/output, processors, intra-system communication, busses, caches. Addressing and memory hierarchies. Microprogramming, parallelism, and pipelining. Classification and taxonomy of computer architectures. Reduced instruction set computers, pipelining, vector processing, dataflow computers, architecture description languages, firmware engineering.
Course Hours:
H(3-1T-2/2)
Prerequisite(s):
Computer Engineering 369 and 511 or Software Engineering for Engineers 413.
|
| back to top | |
|
|
Computer Engineering
505
|
Parallel Computer Architectures
|
|
An examination of Design and Performance trade-offs in modern parallel computer architectures. Includes an introduction to the basic concepts of parallel computing including message passing and shared memory programming models. An examination of a number of parallel architectures, including pipeline architectures, shared memory multiprocessor systems including both bus based and CC NUMA distributed memory systems, message passing systems, focusing on interconnect issues will also be examined. Also covers cache architectures and strategies to ensure cache coherency in shared memory systems.
Course Hours:
H(3-2)
Prerequisite(s):
Computer Engineering 369 and one of Computer Engineering 493 or Software Engineering 443.
Antirequisite(s):
Credit for both Computer Engineering 505 and either Computer Engineering 519.27 or Software Engineering for Engineers 519.27 will not be allowed.
|
| back to top | |
|
|
Computer Engineering
507
|
Computer Aided Design of Integrated Circuits
|
|
Development of Computer-Aided Design (CAD) tools for VLSI circuits. Physical Design, algorithm complexity, CAD tool development, partitioning, placement and routing algorithms.
Course Hours:
H(3-1T)
Prerequisite(s):
Electrical Engineering 453
Antirequisite(s):
Credit for both Computer Engineering 507 and Electrical Engineering 519.38 will not be allowed.
|
| back to top | |
|
|
Computer Engineering 509
|
Fundamentals of Biometric Systems Design
|
|
Biometric systems, sensors and devices, Integration of Biometric based hardware and software, Biometric applications.
Course Hours:
H(3-2)
Prerequisite(s):
Electrical Engineering 327 or consent of instructor.
Antirequisite(s):
Credit for both Computer Engineering 509 and 519.36 will not be allowed
|
| back to top | |
|
|
Computer Engineering
511
|
Embedded System Interfacing
|
|
Review of computer architecture; microcontrollers and their instruction sets; interfacing using common input/output devices, debugging and other software engineering practices, strategies for interrupt handling and exception handling; Interfacing using a high level language; software and hardware optimizations to achieve real time operations; real time operating systems; Embedded real-time applications.
Course Hours:
H(3-1T-3/2)
Prerequisite(s):
Computer Engineering 369.
Notes:
Credit for both Computer Engineering 511 and any of Computer Engineering 415, 417, or Software Engineering for Engineers 413 will not be allowed.
|
| back to top | |
|
|
Computer Engineering
515
|
Digital Signal Processors
|
|
Review of microprocessor fundamentals. Comparison of basic system architectures for RISC, CISC and DSP processors, recent architectural innovations. Processor characteristics needed to match the requirements for typical DSP applications. Hardware and software optimization techniques including multiple busses, register windows, super-scalar and other highly parallel instruction sets, critical timing paths, optimizing compilers and multi-processor operation. Fundamental comparison of custom and current commercial single chip DSP processor architectures. Elements of Hardware-Software co-design and development processes. Practical applications and laboratories.
Course Hours:
H(3-1T-3/2)
Prerequisite(s):
Computer Engineering 369.
|
| back to top | |
|
|
Computer Engineering
517
|
Computer Arithmetic and Computational Complexity
|
|
Analysing the complexity of computer arithmetic algorithms, fundamental issues concerning computational complexity problems with applications to engineering problems, including signal and image processing, cryptography and data mining.
Course Hours:
H(3-1T)
Prerequisite(s):
Computer Engineering 339.
Antirequisite(s):
Credit for both Computer Engineering 517 and 519.34 will not be allowed.
|
| back to top | |
|
|
Computer Engineering
519
|
Special Topics in Computer Engineering
|
|
Current topics in computer engineering.
Course Hours:
H(3-2)
Prerequisite(s):
Consent of the Department.
Notes:
Consult Department for announcement of topics.
MAY BE REPEATED FOR CREDIT
|
| back to top | |
|
COURSES OF INSTRUCTION