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Instruction offered by members of the Department of Computer Science in the Faculty of Science.
Notes:
- Computer Science students should also see courses listed under Software Engineering.
- Computer Science 217, 231 and 235 are each introductions to computer science that include a substantial introduction to programming and that are available for credit for Computer Science majors. Students interested in these courses should consult the department and program information for the Department of Computer Science when choosing which course to take.
- In several cases, credit is not allowed for Computer Science courses and various courses offered by the Faculty of Engineering. Students who have successfully completed Engineering courses should contact the Department of Computer Science for additional information.
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Computer Science
101
|
Introduction to Unix
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An introduction to the Unix operating system, including the text editor "emacs," its programming modes and macros; shell usage (including "sh" and "tcsh"); and some advanced Unix commands.
Course Hours:
0.75 units; E(6 hours)
Notes:
This course is highly recommended as preparation for Computer Science 217 or 231 or 235.
NOT INCLUDED IN GPA
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Computer Science
102
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Advanced Unix
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Unix signals, processes, and file system; interprocess communication; advanced shell programming; program profiling.
Course Hours:
1.5 units; Q(12 hours)
Prerequisite(s):
Computer Science 219 or 233 or 235.
Notes:
This course is highly recommended as preparation for students entering the second year of a computer science program.
NOT INCLUDED IN GPA
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Computer Science
105
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Introduction to the Analysis of Algorithms
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Techniques to prove the correctness and measure the efficiency of algorithms.
Course Hours:
1.5 units; Q(12 hours)
Prerequisite(s):
Computer Science 313 and 319.
Notes:
This course is intended for students who have completed Computer Science 319, instead of Computer Science 331, who wish to be qualified for senior courses in theoretical computer science.
NOT INCLUDED IN GPA
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Computer Science
203
|
Introduction to Problem Solving using Application Software
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Introduction to computer fundamentals; contemporary topics, such as security and privacy, and the Internet and World Wide Web. Problem solving, analysis and design using application software, including spreadsheets and databases.
Course Hours:
3 units; H(3-2T)
Antirequisite(s):
Not open to Computer Science majors.
Notes:
Basic familiarity with personal computers and commonly used software, including word processors, electronic mail and web browsers, will be assumed.
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Computer Science
217
|
Introduction to Computer Science for Multidisciplinary Studies I
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Introduction to problem solving, analysis and design of small-scale computational systems and implementation using a procedural programming language. For students wishing to combine studies in computer science with studies in other disciplines.
Course Hours:
3 units; H(3-2T)
Antirequisite(s):
Credit for Computer Science 217 and any of 215, 231, 235 or Computer Engineering 339 or Engineering 233 will not be allowed.
Notes:
Computer Science 101 is strongly recommended as preparation for this course. See the statements at the beginning of the Computer Science entry.
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Computer Science
219
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Introduction to Computer Science for Multidisciplinary Studies II
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Continuation of Introduction to Computer Science for Multidisciplinary Studies I. Emphasis on object oriented analysis and design of small-scale computational systems and implementation using an object oriented language. Issues of design, modularization and programming style will be emphasized.
Course Hours:
3 units; H(4-2T)
Prerequisite(s):
Computer Science 217.
Antirequisite(s):
Credit for Computer Science 219 and any of 233, 235, Electrical Engineering 497 or Computer Engineering 493 will not be allowed.
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Computer Science
231
|
Introduction to Computer Science for Computer Science Majors I
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Introduction to problem solving, the analysis and design of small-scale computational systems, and implementation using a procedural programming language. For computer science majors.
Course Hours:
3 units; H(3-2T)
Antirequisite(s):
Credit for Computer Science 231 and any of 215, 217, 235, Computer Engineering 339 or Engineering 233 will not be allowed.
Notes:
Computer Science 101 is strongly recommended as preparation for this course. See the statements at the beginning of the Computer Science entry.
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Computer Science
233
|
Introduction to Computer Science for Computer Science Majors II
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Continuation of Introduction to Computer Science for Computer Science Majors I. Emphasis on object-oriented analysis and design of small-scale computational systems and implementation using an object oriented language. Issues of design, modularization, and programming style will be emphasized.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 231.
Antirequisite(s):
Credit for Computer Science 233 and any of 219, 235, Electrical Engineering 497 or Computer Engineering 493 will not be allowed.
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Computer Science
235
|
Advanced Introduction to Computer Science
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An accelerated introduction to problem solving, the analysis and design of small-scale computational systems and implementation using both procedural and object oriented programming languages. Issues of design, modularization, and programming style will be emphasized.
Course Hours:
3 units; H(3-2T-2)
Prerequisite(s):
Consent of the Department.
Antirequisite(s):
Credit for Computer Science 235 and any of 215, 217, 219, 231, 233, Computer Engineering 339 or 493 will not be allowed.
Notes:
Computer Science 101 is strongly recommended as preparation for this course. See the statements at the beginning of the Computer Science entry.
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Computer Science
313
|
Introduction to Computability
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An introduction to abstract models of sequential computation, including finite automata, regular expressions, context-free grammars, and Turing machines. Formal languages, including regular, context-free, and recursive languages, methods for classifying languages according to these types, and relationships among these classes.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Mathematics 271 or 273; Philosophy 279 or 377; and one of Computer Science 219, 233 or 235.
Notes:
One of Computer Science 319 or 331 is strongly recommended as preparation for this course.
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Computer Science
319
|
Data Structures, Algorithms, and Their Applications
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Fundamental data structures, including arrays, lists, stacks, queues, trees, hash tables, and graphs. Algorithms for searching and sorting. Applications of these data structures and algorithms. For students wishing to combine studies in computer science with studies in other disciplines.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
One of Computer Science 219, 233, 235 or Computer Engineering 339.
Antirequisite(s):
Credit for Computer Science 319 and 331 will not be allowed. This course is not available for credit for Computer Science majors.ÌýÌý
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Computer Science
329
|
Explorations in Information Security and Privacy
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A broad survey of topics in information security and privacy, with the purpose of cultivating an appropriate mindset for approaching security and privacy issues. Topics will be motivated by recreational puzzles. Legal and ethical considerations will be introduced as necessary.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
One of Computer Science 217, 231, 235 or Engineering 233.
Notes:
One of Mathematics 211, 213, 249, 251, 265, 271, 273, 275, 281 or Applied Mathematics 217 is recommended as preparation for this course.
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Computer Science
331
|
Data Structures, Algorithms, and Their Analysis
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Fundamental data structures, including arrays, lists, stacks, queues, trees, hash tables, and graphs. Algorithms for searching and sorting. Introduction to the correctness and analysis of algorithms. For computer science majors and those interested in algorithm design and analysis, information security, and other mathematically-intensive areas.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Mathematics 271 or 273; and one of Computer Science 219, 233, 235 or Computer Engineering 339.
Antirequisite(s):
Credit for Computer Science 331 and 319 will not be allowed.
ÌýÌýÌýÌýÌýÌýÌý
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Computer Science
335
|
Intermediate Information Structures
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A continuation of Computer Science 319 or 331. Collision resolution in hash tables, search algorithms, advanced tree structures, strings. Advanced algorithmic tools for the storing and manipulation of information.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 319 or 331.
ÌýÌýÌýÌýÌýÌýÌý
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Computer Science
355
|
Computing Machinery I
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An introduction to computing machinery establishing the connection between programs expressed in a compiled language, an assembly language, and machine code, and how such code is executed. Includes the detailed study of a modern CPU architecture, its assembly language and internal data representation, and the relationship between high-level program constructs and machine operations.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
One of Computer Science 219, 233 or 235.
Antirequisite(s):
Credit for Computer Science 355 and 265 or Computer Engineering 369 will not be allowed.
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Computer Science
359
|
Computing Machinery II
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An introduction to hardware and microprocessor design, including the connection between gate-level digital logic circuits and sequential machines that can execute an algorithm and perform input and output.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 355 and Philosophy 279 or 377.
Antirequisite(s):
Credit for Computer Science 359 and any of 325, 455 or Computer Engineering 415 will not be allowed.
Notes:
A supplementary fee will be assessed to cover additional costs associated with this course.
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Computer Science
399
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Special Topics in Computer Science
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Exploration of various areas in Computer Science. Topics will vary from year-to-year. It will be offered as required to provide the opportunity for students to engage in additional areas in Computer Science. Before registration, consult the Department of Computer Science for topics offered.
Course Hours:
3 units; H(3-0)
Prerequisite(s):
Consent of the Department.
MAY BE REPEATED FOR CREDIT
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Computer Science
409
|
History of Computation
|
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The history of computation from the earliest times to the modern era.
Course Hours:
3 units; H(3-0)
Prerequisite(s):
Computer Science 355.
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Computer Science
411
|
Compiler Construction
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Introduction to compilers, interpreters, and the tools for parsing and translation. Lexical analysis, context free grammars and software tools for their recognition. Attribute grammars and their applications in translation and compiling.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 319 or 331.
Notes:
Computer Science 313 is strongly recommended as preparation for this course.
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Computer Science
413
|
Design and Analysis of Algorithms I
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Techniques for the analysis of algorithms, including counting, summation, recurrences, and asymptotic relations; techniques for the design of efficient algorithms, including greedy methods, divide and conquer, and dynamic programming; examples of their application; an introduction to tractable and intractable problems.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 313; and either Computer Science 331 or both Computer Science 319 and 105; and Mathematics 211 or 213; and one of Mathematics 249, 251, 265, 275, 281 or Applied Mathematics 217.
Notes:
One of Mathematics 265 or 275 is highly recommended as preparation for this course, but not mandatory. Students who have completed Computer Science 319 instead of Computer Science 331, and who have been unable to complete Computer Science 105, should contact the Department of Computer Science for information about how to be prepared for, and how to be eligible to take, Computer Science 413.
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Computer Science
418
|
Introduction to Cryptography
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The basics of cryptography, with emphasis on attaining well-defined and practical notations of security. Symmetric and public key cryptosystems; one-way and trapdoor functions; mechanisms for data integrity; digital signatures; key management; applications to the design of cryptographic systems. In addition to written homework, assessment will involve application programming; additional mathematical theory and proof-oriented exercises will be available for extra credit.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Either Computer Science 331 or both Computer Science 319 and 105; and one of Mathematics 271, 273 or Pure Mathematics 315.
Antirequisite(s):
Credit for Computer Science 418 and any of Computer Science 429, 557, Pure Mathematics 329 or 418 will not be allowed.
Notes:
Students who have completed Computer Science 319 instead of Computer Science 331, and who have been unable to complete Computer Science 105, should contact the Department of Computer Science for information about how to be prepared for, and eligible to take, Computer Science 418.
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Computer Science
433
|
Artificial Intelligence
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|
An examination of the objectives, key techniques and achievements of work on artificial intelligence in Computer Science.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 313, plus one of Philosophy 279 or 377.
Notes:
Prior or concurrent completion of Computer Science 349 or 449 is strongly recommended as preparation for this course.
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Computer Science
441
|
Computer Networks
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|
Principles and practice in modern telecommunications, computer communications and networks. Layered communication protocols and current physical, data link, network and Internet protocol layers. Circuit switching, packet switching, and an introduction to broadband multimedia networking.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 319 or 331; and one of Computer Science 325, 359 or Computer Engineering 369.
Antirequisite(s):
Credit for Computer Science 441 and Electrical Engineering 573 will not be allowed.
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Computer Science
449
|
Programming Paradigms
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Examination of the basic principles of the major programming language paradigms. Focus on declarative paradigms such as functional and logic programming. Data types, control expressions, loops, types of references, lazy evaluation, different interpretation principles, information hiding.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 319 or 331; and Philosophy 279 or 377.
Notes:
The prerequisite of Philosophy 279 or 377 is waived for Engineering students in the Software Engineering program.
Also known as:
(formerly Computer Science 349)
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Computer Science
453
|
Introduction to Computer Graphics
|
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Introduction to computer graphics. Principles of raster image generation. Example of a graphics API. Graphics primitives. Co-ordinate systems, affine transformations and viewing of graphical objects. Introduction to rendering including shading models and ray tracing. Introduction to modelling including polygon meshes, subdivision, and parametric curves and surfaces.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 319 or 331; and Mathematics 211 or 213; and one of Mathematics 253, 267, 277, 283 or Applied Mathematics 219.
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Computer Science
457
|
Principles of Operating Systems
|
|
An introduction to operating systems principles. Performance measurement; concurrent programs; the management of information, memory and processor resources.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 319 or 331; and one of Computer Science 325, 359 or Computer Engineering 369.
Notes:
Prior or concurrent completion of Computer Engineering 511 is strongly recommended for students in Computer Engineering or Software Engineering programs.
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Computer Science
461
|
Information Structures III
|
|
File architecture and manipulation techniques for various file types. Physical characteristics of current mass storage devices. Advanced data structures and algorithms for implementing various sequential and hierarchical file structures. File organization and design for various applications, file systems and other storage management techniques including website design.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 355 and one of 319 or 331.
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Computer Science
481
|
Human-Computer Interaction I
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|
Fundamental theory and practice of the design, implementation, and evaluation of human-computer interfaces. Topics include: principles of design; methods for evaluating interfaces with or without user involvement; techniques for prototyping and implementing graphical user interfaces.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Software Engineering 301.
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|
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Computer Science
499
|
Special Topics in Computer Science
|
|
Exploration of various areas in Computer Science. Topics will vary from year to year. It will be offered as required to provide the opportunity for students to engage in additional areas in Computer Science. Before registration, consult the Department of Computer Science for topics offered.
Course Hours:
3 units; H(3-0)
Prerequisite(s):
Consent of the Department.
MAY BE REPEATED FOR CREDIT
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Computer Science
501
|
Advanced Programming Techniques
|
|
Theory and application of advanced programming methods and tools. Recent issues as well as those of an enduring nature will be discussed.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 349 or 449.
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Computer Science
502
|
Research Project
|
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A substantial research project under the guidance of a faculty member. A report must be written and presented on completion of the course.
502.01. Research Project in Computer Science
502.02. Research Project in Theoretical Computer Science
502.03. Research Project in Computer Graphics
502.04. Research Project in Information Security
502.05. Research Project in Scientific Computation
502.06. Research Project in Software Engineering
502.07. Research Project in Human Computer Interaction
502.08. Research Project in Networks and Distributed Computing
Course Hours:
6 units; F(1-5)
Prerequisite(s):
Consent of the Department.
Antirequisite(s):
Credit for Computer Science 502 and any of 503, Software Engineering for Engineers 599 or 591 will not be allowed.
Notes:
Students intending to complete a research project in a specific area of computer science should register in the version of Computer Science 502 corresponding to that area, if such a course is available. Other students should register in Computer Science 502.01. Permission to register in Computer Science 502 is generally given only to students with a minimum GPA of 3.30 over the last 90 units (15 full-course equivalents). When demand exceeds capacity, registration in Computer Science 502 is limited to students in Honours programs in Computer Science.
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Computer Science
503
|
Project
|
|
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A research project conducted under the guidance of a faculty member. A report must be presented on completion of the course.
503.01. Project in Computer Science
503.02. Project in Theoretical Computer Science
503.03. Project in Computer Graphics
503.04. Project in Information Security
503.05. Project in Scientific Computation
503.06. Project in Software Engineering
503.07. Project in Human Computer Interaction
503.08. Project in Networks and Distributed Computing
Course Hours:
3 units; H(1-5)
Prerequisite(s):
Consent of the Department.
Antirequisite(s):
Credit for Computer Science 503 and either 502 or Software Engineering for Engineers 599 will not be allowed.
Notes:
Students intending to complete a project in a specific area of computer science should register in the version of Computer Science 503 corresponding to that area, if such a course is available. Other students should register in Computer Science 503.01.
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Computer Science
511
|
Introduction to Complexity Theory
|
|
Time and space complexity; the classes P, LOGSPACE, PSPACE and their nondeterministic counterparts; containments and separations between complexity classes; intractability and the theory of NP-completeness; complexity theories for probabilistic algorithms and for parallel algorithms.
Course Hours:
3 units; H(3-1T)
Prerequisite(s):
Computer Science 413.
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Computer Science
513
|
Computability
|
|
Computable functions; decidable and undecidable problems; Church's thesis and recursive functions.
Course Hours:
3 units; H(3-1T)
Prerequisite(s):
Computer Science 313.
Notes:
Computer Science 413 is strongly recommended as preparation for this course.
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Computer Science
517
|
Design and Analysis of Algorithms II
|
|
Advanced techniques for the design and analysis of deterministic and probabilistic algorithms; techniques for deriving lower bounds on the complexity of problems.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 413.
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Computer Science
518
|
Introduction to Computer Algebra
|
|
Fundamental problems, classical and modern algorithms, and algorithm design and analysis techniques of use in computer algebra. Integer and polynomial arithmetic. Additional problems in computer algebra, possibly including problems in computational linear algebra, factorization, and concerning systems of polynomial equations will be considered as time permits.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 413 and one of Mathematics 211 or 213.
Notes:
Computer Science 491 and Pure Mathematics 315 are recommended as preparation for this course.
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Computer Science
519
|
Introduction to Quantum Computation
|
|
Quantum information, quantum algorithms including Shor's quantum factoring algorithm and Grover's quantum searching technique, quantum error correcting codes, quantum cryptography, nonlocality and quantum communication complexity, and quantum computational complexity.
Course Hours:
3 units; H(3-1T)
Prerequisite(s):
Computer Science 413 and one of Mathematics 311 or 313.
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Computer Science
521
|
Foundations of Functional Programming
|
|
Theoretical foundations of functional programming: the lambda-calculus, beta-reduction, confluence, and reduction strategies. Programming syntax: solving recursive equations with the Y-combinator, let and letrec, types, datatypes, and patterns. Programming in a functional language: recursion patterns, useful combinators, maps, and folds, for datatypes. Example applications: recursive descent parsing, unification, combinatorial algorithms, theorem proving.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 313 and one of Computer Science 349 or 449.
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Computer Science
522
|
Introduction to Randomized Algorithms
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|
Techniques for the design and analysis of randomized algorithms; discrete probability theory; randomized data structures; lower bound techniques; randomized complexity classes; advanced algorithmic applications from various areas.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 413.
Notes:
Mathematics 321 or Statistics 321 is recommended as preparation for this course.
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Computer Science
525
|
Principles of Computer Security
|
|
Security policies and protection mechanisms for a computing system, including such topics as design principles of protection systems, authentication and authorization, reference monitors, security architecture of popular platforms, formal modelling of protection systems, discretionary access control, safety analysis, information flow control, integrity, role-based access control. Legal and ethical considerations will be introduced.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 457 and one of Mathematics 271 or 273.
Antirequisite(s):
Credit for Computer Science 525 and 529 will not be allowed.
Notes:
Computer Science 329 is recommended as preparation for this course.ÌýÌý
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Computer Science
526
|
Network Systems Security
|
|
Attacks on networked systems, tools and techniques for detection and protection against attacks including firewalls and intrusion detection and protection systems, authentication and identification in distributed systems, cryptographic protocols for IP networks, security protocols for emerging networks and technologies, privacy enhancing communication. Legal and ethical issues will be introduced.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 441.
Antirequisite(s):
Credit for Computer Science 526 and 529 will not be allowed.
ÌýÌýÌýÌýÌýÌýÌýÌý
Notes:
Computer Science 329 and one of Pure Mathematics 329, Computer Science 418 or Pure Mathematics 418 are recommended as preparation for this course.
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Computer Science
527
|
Computer Viruses and Malware
|
|
Study of computer viruses, worms, Trojan horses, and other forms of malicious software. Countermeasures to malicious software. Legal and ethical issues, and some general computer and network security issues.
Course Hours:
3 units; H(3-0)
Prerequisite(s):
Computer Science 313 and 457 and consent of the Department.
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Computer Science
528
|
Spam and Spyware
|
|
Spam and other unsolicited bulk electronic communication, and spyware. Legal and ethical issues. Countermeasures and related security problems.
Course Hours:
3 units; H(3-0)
Prerequisite(s):
Computer Science 313 and 457 and consent of the Department.
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Computer Science
530
|
Information Theory and Security
|
|
Information theoretic concepts such as entropy and mutual information and their applications to defining and evaluating information security systems including encryption, authentication, secret sharing and secure message transmission.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
One of Computer Science 219, 233 or 235, one of Mathematics 271, 273 or Pure Mathematics 315, and one of Statistics 205 or 211Ìý or 213 or 321 or Mathematics 321.
Notes:
Computer Science 329 is recommended as preparation for this course.
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|
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Computer Science
531
|
Systems Modelling and Simulation
|
|
An introduction to the modelling and simulation of stochastic systems; programming language issues; model and tool design; input data modelling; simulation experiments; and the interpretation of simulation results.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 457 and one of Mathematics 321 or Statistics 205 or 211 or 213 or 321.
Notes:
Mathematics 321 is recommended over Statistics 205 or 211 or 213 as preparation for this course. Computer Science 441 is also recommended as preparation for this course.
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Computer Science
535
|
Introduction to Image Analysis and Computer Vision
|
|
Standard methods used in the analysis of digital images. Image acquisition and display: visual perception; digital representation. Sampling and enhancement. Feature extraction and classification methods. Object recognition.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
One of Mathematics 311, 313, 331, 353, Applied Mathematics 307, 311, Pure Mathematics 331.
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Computer Science
550
|
Systems Administration
|
|
Topics and practices in systems administration and management. Required and optional administration duties and responsibilities. Moral and ethical conundrums, and legal responsibilities, in systems operation. Configuration and installation of operating systems and network and systems services.
Course Hours:
6 units; F(2-3)
Prerequisite(s):
Computer Science 457 and consent of the Department.
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|
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Computer Science
559
|
Introduction to Distributed Systems
|
|
Designing and implementing distributed systems that overcome challenges due to concurrent computation, failure of components in the system and heterogeneity of processors and communication channels.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 457.
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Computer Science
561
|
Introduction to Distributed Algorithms
|
|
Basic problems in distributed systems such as symmetry breaking, consensus, resource allocation, and synchronization. The impact of system characteristics, such as models of communication, timing and failure, and of solution requirements, such as correctness and complexity criteria and algorithmic constraints, on the computability and complexity of these problems. Techniques for solving problems under different models will be emphasized.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 413.
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|
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Computer Science
565
|
Emergent Computing
|
|
An insight into a new mindset for programming as an emergent and evolutionary process of "breeding," rather than constructing. Programs can evolve to perform specific tasks in a bottom-up fashion rather than being manually coded. Topics will include: decentralized agent-based programming, massive parallelism and interaction, evolution, swarm intelligence.
Course Hours:
3 units; H(3-1T)
Prerequisite(s):
Computer Science 433.
Notes:
Offered in even-odd dated academic years.
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|
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Computer Science
567
|
Foundations of Multi-Agent Systems
|
|
Modelling of agents and properties of multi-agent systems. Communication issues, including interaction and co-ordination concepts, forming and maintaining organizations, and competitive agent environments. Example systems; the implementation of a multi-agent system will be performed as the assignment.
Course Hours:
3 units; H(3-1T)
Prerequisite(s):
Computer Science 457 and 433.
Notes:
Offered in odd-even dated academic years.
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|
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Computer Science
568
|
Agent Communications
|
|
An examination of communication paradigms in multi-agent systems. A number of paradigms will be covered including simple protocols, BDI (Believe, Desire, Intension), and social commitments.
Course Hours:
3 units; H(3-0)
Prerequisite(s):
Computer Science 433 and consent of the Department.
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|
|
Computer Science
571
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Design and Implementation of Database Systems
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Implementation and design of modern database systems including query modification/optimization, recovery, concurrency, integrity, and distribution.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 461 and 471.
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Computer Science
572
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Fundamentals of Social Network Analysis and Data Mining
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Introduction to data mining with emphasis on frequent pattern mining, clustering and classification, data collection, network construction, basic graph theory concepts and network analysis metrics, and case studies.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 571.
Also known as:
(formerly Computer Science 599.77)
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Computer Science
581
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Human-Computer Interaction II
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IntermediateÌýand advanced topics and applications in human-computer interaction, to further one's skills for designing highly interactive human-computer interfaces.
Course Hours:
3 units; H(3-2)
Prerequisite(s):
Computer Science 481 and consent of the Department.
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Computer Science
583
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Introduction to Information Visualization
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Principles of information representation, presentation and interaction. Development of mappings from data to visual structures and exploration, navigation, cues, distortion and emphasis techniques.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 319 or 331.
Notes:
Prior or concurrent completion of Computer Science 453 or 481 is strongly recommended.
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Computer Science
584
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Human-Robot Interaction
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Introduction to the design, implementation and evaluation of human-robot interfaces. Topics include the evaluation of human-robot interaction (HRI), theoretical, philosophical and ethical issues, exploration of applications and tasks, prototyping HRI tools, and practical implementation and evaluation methods.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 481 and consent of the Department.
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Computer Science
585
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Games Programming
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Standard techniques for the implementation of computer games. Standard multimedia programming environments and high performance multimedia. Special purpose rendering engines. Interactive control and feedback; modelling.
Course Hours:
3 units; H(3-2)
Prerequisite(s):
Computer Science 453 and consent of the Department.
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Computer Science
587
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Fundamentals of Computer Animation
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Principles of traditional animation, key framing, parametric and track animation, free form deformation, inverse kinematics, dynamics, spring mass systems, particle systems, numerical integration, Lagrangian constraints, space time constraints, collisions, human animation, behavioural animation, metamorphosis, implicit animation techniques, animating liquids, gases and cloth, motion capture.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 453.
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Computer Science
589
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Modelling for Computer Graphics
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Parametric Modelling. B-splines and NURBS. Subdivision schemes. Surface subdivision. Multiresolution. Wavelets. Implicit modelling. Blends. Polygonization. Blobtree. Precise contact modelling. Solid modelling. CSG. Procedural modelling. Special topics, e.g. Differential geometry. Graph-based modelling. Topology.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 453.
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Computer Science
591
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Rendering
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Physical foundations of illuminations techniques. Colour. Radiometry and photometry. Reflection models. The rendering equation. Ray tracing. Monte Carlo techniques. Sampling and antialiasing. Texturing. Radiosity. Photon tracing. Volume rendering. Image-based rendering. Real-time shading.
Course Hours:
3 units; H(3-2T)
Prerequisite(s):
Computer Science 453.
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Computer Science
594
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Software Engineering Project
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A software engineering project conducted under the guidance of a faculty member.
Course Hours:
6 units; F(1-5)
Prerequisite(s):
Consent of the Department.
Notes:
Includes a research, writing and presentation component.
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Computer Science
598
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Special Topics in Computer Science
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New areas in Computer Science. It will be offered only as required. Before registration consult the Department of Computer Science for topics offered.
Course Hours:
6 units; F(3-0)
Prerequisite(s):
Consent of the Department.
MAY BE REPEATED FOR CREDIT
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Computer Science
599
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Special Topics in Computer Science
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Exploration of various areas in Computer Science. Topics will vary from year to year. It will be offered as required to provide the opportunity for students to engage in additional areas in Computer Science. Before registration, consult the Department of Computer Science for topics offered.
Course Hours:
3 units; H(3-0) or H(3-2)
Prerequisite(s):
Consent of the Department.
MAY BE REPEATED FOR CREDIT
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Graduate Courses
Note: Registration in all courses requires the approval of the Department of Computer Science. Computer Science students should also see courses listed under Software Engineering.
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Computer Science
601
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Special Topics in Computer Science
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A study of problems of particular interest to graduate students in Computer Science.
Course Hours:
3 units; H(3-0)
MAY BE REPEATED FOR CREDIT
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Computer Science
605
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Information Storage and Processing in Biological Systems
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Examination of complex biological systems; concepts and fundamentals of biological solutions to information storage and processing; modelling and computer simulation of biological systems; information storage in biological molecules; genetic networks; hierarchical organization of biological information processing in signal transduction, development, evolution, and ecology; biological control systems.
Course Hours:
3 units; H(3-0)
Also known as:
(Medical Science 605)
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Computer Science
607
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Biological Computation
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Examination and modelling of biological networks; focus on the latest developments in biological computing and their theoretical backgrounds, such as: DNA computing; genomic algorithms; artificial chemistries; complex adaptive systems, chaos and fractals; immune system computing; gene regulatory networks; swarm intelligence systems.
Course Hours:
3 units; H(3-0)
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Computer Science
609
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Foundations of Multi-Agent Systems
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Modelling of agents and properties of multi-agent systems. Communication issues, including interaction and co-ordination concepts, forming and maintaining organizations, and competitive agent environments. Example systems; the implementation of a multi-agent system will be performed as the assignment.
Course Hours:
3 units; H(3-0)
Antirequisite(s):
Credit for Computer Science 609 and Software Engineering 697 will not be allowed for programs offered by the Department of Computer Science.
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Computer Science
610
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Compiler Code Generation and Optimization
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Compiler code generation and optimization techniques, including register allocation, instruction selection, dataflow analysis, and code optimization techniques using intermediate representations. Implementation of special language features and tools for automated code generation.
Course Hours:
3 units; H(3-0)
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Computer Science
611
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Complexity Theory
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Deterministic and non-deterministic time and space complexity; complexity classes and hierarchies; NP-complete problems and intractable problems; axiomatic complexity theory.
Course Hours:
3 units; H(3-0)
Notes:
Computer Science 413 or equivalent is recommended as preparation for this course.
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Computer Science
615
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Computational Techniques for Graphics and Visualization
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Various case studies from the fields of graphics and visualization.
Course Hours:
3 units; H(3-0)
Notes:
Computer Science 453 or equivalent is recommended as preparation for this course.
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Computer Science
617
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Category Theory for Computer Science
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Introduction to category theory with applications in computer science. Functors, natural transformations, adjoints and monads, initial and final algebras. Introduction to 2-categories and fibrations.
Course Hours:
3 units; H(3-0)
Notes:
Computer Science 513 or 521 or equivalent is recommended as preparation for this course.
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Computer Science
619
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Quantum Computation
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Quantum information, quantum algorithms including Shor's quantum factoring algorithm and Grover's quantum searching technique, quantum error correcting codes, quantum cryptography, nonlocality and quantum communication complexity, and quantum computational complexity.
Course Hours:
3 units; H(3-0)
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Computer Science
622
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Randomized Algorithms
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Design and analysis of randomized algorithms; discrete probability theory; randomized data structures; lower bound techniques; randomized complexity classes; advanced algorithmic applications from various areas.
Course Hours:
3 units; H(3-0)
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Computer Science
625
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Principles of Computer Security
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Security policies and protection mechanisms for a computing system, including such topics as design principles of protection systems, authentication and authorization, reference monitors, security architecture of popular platforms, formal modelling of protection systems, discretionary access control, safety analysis, information flow control, integrity, role-based access control. Legal and ethical considerations will be introduced as necessary.
Course Hours:
3 units; H(3-0)
Notes:
Computer Science 457 and Mathematics 271, or equivalents, are recommended as preparation for this course.
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Computer Science
626
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Network Systems Security
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Attacks on networked systems, tools and techniques for detection and protection against attacks including firewalls and intrusion detection and protection systems, authentication and identification in distributed systems, cryptographic protocols for IP networks, security protocols for emerging networks and technologies, privacy enhancing communication. Legal and ethical issues will be introduced as necessary.
Course Hours:
3 units; H(3-0)
Notes:
Computer Science 418 and 441, or equivalents, are recommended as preparation for this course.
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Computer Science
627
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Computer Viruses and Malware
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Study of computer viruses, worms, Trojan horses, and other forms of malicious software. Countermeasures to malicious software. Legal and ethical issues, and some general computer and network security issues.
Course Hours:
3 units; H(3-0)
Prerequisite(s):
Computer Science 313 and 457 or equivalents and consent of the Department.
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Computer Science
628
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Spam and Spyware
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Spam and other unsolicited bulk electronic communication, and spyware. Legal and ethical issues. Countermeasures, and related security problems.
Course Hours:
3 units; H(3-0)
Prerequisite(s):
Computer Science 313 and 457 or equivalents and consent of the Department.
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Computer Science
629
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Elliptic Curves and Cryptography
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An introduction to elliptic curves over the rationals and finite fields. The focus is on both theoretical and computational aspects; subjects covered will include the study of endomorphism rings, Weil pairing, torsion points, group structure, and effective implementation of point addition. Applications to cryptography will be discussed, including elliptic curve-based Diffie-Helman key exchange, El Gamal encryption, and digital signatures, as well as the associated computational problems on which their security is based.
Course Hours:
3 units; H(3-0)
Notes:
Pure Mathematics 315 is recommended as preparation for this course.
Also known as:
(Pure Mathematics 629)
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Computer Science
630
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Information Theory and Security
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Information theoretic concepts such as entropy and mutual information, and their applications to defining and evaluating information security systems including encryption, authentication, secret sharing and secure message transmission.
Course Hours:
3 units; H(3-2T)
Notes:
One of Computer Science 219, 233 or 235 and one of Mathematics 271, 273 or Pure Mathematics 315 and one of Statistics 205 or 211 or 213 or 321 or Mathematics 321, or equivalents, are recommended as preparation for this course.
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Computer Science
635
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Image Analysis and Computer Vision
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Standard methods used in the analysis of digital images. Image acquisition and display: visual perception; digital representation. Sampling and enhancement. Feature extraction and classification methods. Object recognition.
Course Hours:
3 units; H(3-2T)
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Computer Science
641
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Performance Issues in High Speed Networks
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An overview of current research in high speed networks. Topics covered will include the current Internet, the future Internet, wireless networks, optical networks, Asynchronous Transfer Mode (ATM), TCP/IP, network traffic measurement, web server performance, and mobile computing. Emphasis will be placed on network performance issues for next-generation Internet protocols and applications.
Course Hours:
3 units; H(3-0)
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Computer Science
643
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Modern Wireless Networks
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An introduction to the fundamentals and applications of wireless networks.
Course Hours:
3 units; H(3-0)
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Computer Science
653
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Computational Geometry
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Geometric searching, hull proximity and intersection data structures and algorithms and their complexity.
Course Hours:
3 units; H(3-0)
Notes:
Computer Science 517 or equivalent is recommended as preparation for this course.
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Computer Science
657
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Modelling And Visualization of Plants
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Modelling, simulation and visualization of plants for computer graphics and biological purposes. Modelling of plants as an example of interdisciplinary research including computer science, biology, mathematics and physics. L-systems as a formal basis for model construction. Modelling languages. Information flow in plants. Symmetry, self-similarity and allometry of plants. Descriptive models of plant architecture. Models integrating plant structure and function. Simulation of plant development. Case studies: competition for space, phyllotaxis, tropisms, and biomechanical considerations. Reaction-diffusion models of morphogensis. Genotype-to-phenotype mapping. Modelling of plant ecosystems. Rendering and visualization of the models. A survey of applications and research directions.
Course Hours:
3 units; H(3-0)
Notes:
Computer Science 453 or equivalent is recommended as preparation for computer science students taking this course.
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Computer Science
661
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Algorithms for Distributed Computation
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Fundamental algorithmic problems in distributed computation; impact of communication, timing, failures and other characteristics on computability and complexity of solutions.
Course Hours:
3 units; H(3-0)
Prerequisite(s):
Computer Science 561 or equivalent.
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Computer Science
662
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Agent Communications
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An examination of communication paradigms in multi-agent systems. A number of paradigms will be covered including simple protocols, BDI (Believe, Desire, Intension), and social commitments.
Course Hours:
3 units; H(3-0)
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Computer Science
667
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Computer Algebra
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Fundamental problems, classical and modern algorithms, and algorithm design and analysis techniques of use in computer algebra. Integer and polynomial arithmetic. Additional problems in computer algebra, possibly including problems in computational linear algebra, factorization, and concerning systems of polynomial equations will be considered as time permits.
Course Hours:
3 units; H(3-0)
Notes:
Computer Science 413, 491 and Pure Mathematics 315, or equivalents, are recommended as preparation for this course.
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Computer Science
669
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Cryptography
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An overview of the basic techniques in modern cryptography, with emphasis on fit-for-application primitives and protocols. Topics will include symmetric and public-key cryptosystems; digital signatures; elliptic curve cryptography; key management; attack models and well-defined notions of security.
Course Hours:
3 units; H(3-0)
Notes:
Students should not have taken any previous course in cryptography.
Also known as:
(Pure Mathematics 669)
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Computer Science
671
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Database Management Systems
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Foundations of database applications and database systems, plus some advanced topics in data management systems will be introduced.
Course Hours:
3 units; H(3-0)
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Computer Science
672
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Fundamentals of Social Network Analysis and Data Mining
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Introduction to data mining with emphasis on frequent pattern mining, clustering and classification, data collection, network construction, basic graph theory concepts and network analysis metrics, and case studies.
Course Hours:
3 units; H(3-0)
Antirequisite(s):
Students may not have credit for more than one of Computer Science 672, 572 or 599.77.
Also known as:
(formerly Computer Science 601.77)
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Computer Science
673
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Distributed Database Systems
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Introduction to distributed database systems. Topics covered include: architecture, data design, query processing, transaction management, multidatabases, object-oriented databases and advanced system issues.
Course Hours:
3 units; H(3-0)
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Computer Science
675
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Datawarehouse Systems
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Design, development and deployment of datawarehouses. Schemas, models, data organization, OLAP, tuning, data mining and architectural models may be discussed.
Course Hours:
3 units; H(3-0)
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Computer Science
681
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Research Methods in Human-Computer Interaction
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Application of the theory and methodology of human-machine studies to real systems; theory and practice.
Course Hours:
3 units; H(3-0)
Notes:
Computer Science 481 or equivalent is recommended as preparation for this course.
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Computer Science
683
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Information Visualization: Theory and Practice
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The theory and development of interactive visual representations of abstract data for the purpose of amplifying cognition. Topics covered can include representational issues, perceptual issues, visual literacy, spatial abstraction, and interaction issues.
Course Hours:
3 units; H(3-0)
Notes:
Computer Science 583 or equivalent is recommended as preparation for this course.
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Computer Science
687
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Computer Animation
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Principles of traditional animation, key framing, parametric and track animation, free form deformation, inverse kinematics, dynamics, spring mass systems, particle systems, numerical integration, Lagrangian constraints, space time constraints, collisions, human animation, behavioural animation, metamorphosis, implicit animation techniques, animating liquids, gases and cloth, motion capture.
Course Hours:
3 units; H(3-2T)
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Computer Science
689
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Modelling for Computer Graphics
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Parametric Modelling. B-splines and NURBS. Subdivision schemes. Surface subdivision. Multiresolution. Wavelets. Implicit modelling. Blends. Polygonization. Blobtree. Precise contact modelling. Solid modelling. CSG. Procedural modelling. Special topics, e.g. Differential geometry. Graph-based modelling. Topology.
Course Hours:
3 units; H(3-2T)
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Computer Science
691
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Rendering
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Physical foundations of illuminations techniques. Colour. Radiometry and photometry. Reflection models. The rendering equation. Ray tracing. Monte Carlo techniques. Sampling and antialiasing. Texturing. Radiosity. Photon tracing. Volume rendering. Image-based rendering. Real-time shading.
Course Hours:
3 units; H(3-0)
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Computer Science
695
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Data Management in Geographical Information Systems
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Examination of advanced geometric algorithms for representation, analysis and visualization of Geographical Information Systems. Data structures such as progressive mesh, ROAM, multidimensional Delauney triangulization, quadtree and space partitioning. Algorithmic techniques such as incremental, divide and conquer, sweep-plane, and dimension reduction. Algorithms for surface simplification, culling, quality measurement and reduction.
Course Hours:
3 units; H(3-0)
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Computer Science
696
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Information Security Seminar
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Topics in information security, such as security management, emerging threats, research frontiers using case studies and best practices.
Course Hours:
3 units; H(3-0)
Antirequisite(s):
Credit for Computer Science 696 and 699 will not be allowed.
Notes:
This course is intended to help students identify a project topic for Computer Science 698 and meets for one and one-half hours per week during the Fall and Winter Terms.
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Computer Science
697
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Biometric Security
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Principles of biometric system design, technology and performance evaluation. Verification, identification and synthesis in biometrics. Traditional and emerging techniques for fingerprint matching, face recognition, iris modelling, signature authentication, and biometric pattern recognition. Multi-modal biometrics and biometric security.
Course Hours:
3 units; H(3-0)
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Computer Science
698
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Information Security Project
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An information security project conducted under the guidance of a faculty member. A report must be written and presented on completion of the course.
Course Hours:
6 units; F(3-0)
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Computer Science
699
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Research Methodology in Computer Science
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An introduction to and survey of research areas and methods in Computer Science. Professional skills in computer science research such as reviewing, critical evaluation, and the preparation of research proposals.
Course Hours:
3 units; H(3-0)
Antirequisite(s):
Credit for Computer Science 699 and 696 will not be allowed.
Notes:
This course meets for one and one-half hours per week during the Fall and Winter Terms.
NOT INCLUDED IN GPA
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Computer Science
701
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Research Topics in Computer Science
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In-depth course on a focused current research topic in Computer Science. Involves a significant research component and requires substantial background knowledge.
Course Hours:
3 units; H(3-0)
MAY BE REPEATED FOR CREDIT
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Computer Science
767
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Advanced Topics in Multiagent Systems
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An in-depth study of a selected subfield of multiagent systems including state-of-the-art research. This is a project-driven course.
Course Hours:
3 units; H(3-0)
Prerequisite(s):
Computer Science 567 or 609.
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Computer Science
771
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Current Trends in Database Technology
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Advanced topics chosen from Bioinformatics, Data mining, Mobile Databases, Spatial Databases and Web Databases. There is a large project component.
Course Hours:
3 units; H(3-0)
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Computer Science
781
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Advanced Topics in Human-Computer Interaction
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The topics covered will change year by year depending on current advances in human computer interaction.
Course Hours:
3 units; H(3-0)
Prerequisite(s):
Computer Science 481.
Notes:
Computer Science 581 or 681 or equivalent is highly recommended as preparation for this course.
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Computer Science
785
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Implicit Modelling
|
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A detailed look at modelling using implicit and iso-surface techniques taking an in-depth review of the literature. Algebraic methods will be followed by skeletal models, field function design, modelling techniques, rendering and texture mapping. Polygonisation algorithms, ray tracing implicits, techniques for animation, meta-morphosis, precise contact modelling, deformation and warping. Algorithms and data structures and implementation details will be presented. Students will be expected to make a new contribution in their project and term paper.
Course Hours:
3 units; H(3-0)
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Computer Science
789
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Advanced Geometric Modelling
|
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Current research topics including spline modelling, Subdivision Surfaces, multiresolution, wavelets, analysis of the subdivision surfaces and reverse subdivision.
Course Hours:
3 units; H(3-0)
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COURSES OF INSTRUCTION