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Instruction offered by members of the Department of Electrical and Computer Engineering in the Schulich School of Engineering.
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Computer Engineering
339
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Programming Fundamentals
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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:
3 units; H(3-1T-1.5)
Prerequisite(s):
Engineering 233.
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Computer Engineering
369
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Computer Organization
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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:
3 units; H(3-1T-1.5)
Prerequisite(s):
Computer Engineering 339 and Electrical Engineering 353.
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Computer Engineering
467
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Digital Electronic Circuits
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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:
3 units; H(3-1T-3/2)
Prerequisite(s):
Electrical Engineering 343 and 361.
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Computer Engineering
501
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Principles of Computer Architecture
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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:
3 units; H(3-1T-2/2)
Prerequisite(s):
Computer Engineering 369 and 511.
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Computer Engineering
507
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Computer Aided Design of Integrated Circuits
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Development of Computer-Aided Design (CAD) tools for digital circuits, algorithmic definition and design; partitioning, clustering, placement routing and timing techniques for digital circuits; applications in other areas of engineering.
Course Hours:
3 units; H(3-1T)
Prerequisite(s):
Electrical Engineering 353.
Antirequisite(s):
Credit for Computer Engineering 507 and Electrical Engineering 519.38 will not be allowed.
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Computer Engineering
509
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Fundamentals of Biometric Systems Design
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Biometric systems, sensors and devices, Integration of Biometric-based hardware and software, Biometric applications.
Course Hours:
3 units; H(3-2)
Prerequisite(s):
Electrical Engineering 327 or consent of the instructor.
Antirequisite(s):
Credit for Computer Engineering 509 and 519.36 will not be allowed.
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Computer Engineering
511
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Embedded System Interfacing
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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 high level and assembly languages; software and hardware optimizations to achieve real time operations; real time operating systems; Embedded real-time applications.
Course Hours:
3 units; H(3-1T-3/2)
Prerequisite(s):
Computer Engineering 369.
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Computer Engineering
515
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Digital Signal Processors
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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:
3 units; H(3-1T-3/2)
Prerequisite(s):
Computer Engineering 369.
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Computer Engineering
517
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Computer Arithmetic and Computational Complexity
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Analyzing 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:
3 units; H(3-1T)
Prerequisite(s):
Computer Engineering 339.
Antirequisite(s):
Credit for Computer Engineering 517 and 519.34 will not be allowed.
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Computer Engineering
519
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Special Topics in Computer Engineering
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Current topics in computer engineering.
Course Hours:
3 units; H(3-2)
Prerequisite(s):
Consent of the Department.
Notes:
Consult Department for announcement of topics.
MAY BE REPEATED FOR CREDIT
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COURSES OF INSTRUCTION