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Program Requirements

This Supplementary Minor Concentration may be taken only by students registered in the Major Concentration Computer Science. There may be no overlap in credits taken for this Supplementary Minor Concentration and the Major Concentration Computer Science. Taken together, these constitute a program very close to the Major Computer Science offered by the Faculty of Science.

Students with two programs in the same department/unit must have a third program in a different department/unit to be eligible to graduate. Please refer to the Faculty of Arts regulations for "Faculty Degree Requirements", "About Program Requirements", and "Departmental Programs" for the Multi-track System options. 

Complementary Courses (18 credits)

18 credits selected from Computer Science (COMP) courses at the 300 level or above excluding COMP 364, COMP 396, COMP 400, and COMP 431.

Students may also select courses from the list below with a maximum of 3 credits of MATH courses.

• ECSE 508 Multi-Agent Systems (3 credits)

  Offered by: Electrical & Computer Engr (Faculty of Engineering)

  Overview

  Electrical Engineering : Introduction to game theory, strategic games, extensive form games with perfect and imperfect information, repeated games and folk theorems, cooperative game theory, introduction to mechanism design, markets and market equilibrium, pricing and resource allocation, application in telecommunication networks, applications in communication networks, stochastic games.

  Terms: This course is not scheduled for the 2013-2014 academic year.

  Instructors: There are no professors associated with this course for the 2013-2014 academic year.

  • (3-0-6)

  • Prerequisite: ECSE 305 or equivalent.

• MATH 223 Linear Algebra (3 credits)

  Offered by: Mathematics and Statistics (Faculty of Science)

  Overview

  Mathematics & Statistics (Sci) : Review of matrix algebra, determinants and systems of linear equations. Vector spaces, linear operators and their matrix representations, orthogonality. Eigenvalues and eigenvectors, diagonalization of Hermitian matrices. Applications.

  Terms: Fall 2013, Winter 2014

  Instructors: Cavendish, William (Fall) Cavendish, William (Winter)

  • Fall and Winter

  • Prerequisite: MATH 133 or equivalent

  • Restriction: Not open to students in Mathematics programs nor to students who have taken or are taking MATH 236, MATH 247 or MATH 251. It is open to students in Faculty Programs

• MATH 318 Mathematical Logic (3 credits)

  Offered by: Mathematics and Statistics (Faculty of Science)

  Overview

  Mathematics & Statistics (Sci) : Propositional calculus, truth-tables, switching circuits, natural deduction, first order predicate calculus, axiomatic theories, set theory.

  Terms: This course is not scheduled for the 2013-2014 academic year.

  Instructors: There are no professors associated with this course for the 2013-2014 academic year.

  • Fall

  • Restriction: Not open to students who are taking or have taken PHIL 210

• MATH 323 Probability (3 credits)

  Offered by: Mathematics and Statistics (Faculty of Science)

  Overview

  Mathematics & Statistics (Sci) : Sample space, events, conditional probability, independence of events, Bayes' Theorem. Basic combinatorial probability, random variables, discrete and continuous univariate and multivariate distributions. Independence of random variables. Inequalities, weak law of large numbers, central limit theorem.

  Terms: Fall 2013, Winter 2014, Summer 2014

  Instructors: Asgharian-Dastenaei, Masoud (Fall) Anderson, William J (Winter) Kelome, Djivede (Summer)

  • Prerequisites: MATH 141 or equivalent.

  • Restriction: Intended for students in Science, Engineering and related disciplines, who have had differential and integral calculus

  • Restriction: Not open to students who have taken or are taking MATH 356

• MATH 324 Statistics (3 credits)

  Offered by: Mathematics and Statistics (Faculty of Science)

  Overview

  Mathematics & Statistics (Sci) : Sampling distributions, point and interval estimation, hypothesis testing, analysis of variance, contingency tables, nonparametric inference, regression, Bayesian inference.

  Terms: Fall 2013, Winter 2014

  Instructors: Anderson, William J (Fall) Asgharian-Dastenaei, Masoud (Winter)

  • Fall and Winter

  • Prerequisite: MATH 323 or equivalent

  • Restriction: Not open to students who have taken or are taking MATH 357

  • You may not be able to receive credit for this course and other statistic courses. Be sure to check the Course Overlap section under Faculty Degree Requirements in the Arts or Science section of the Calendar.

• MATH 340 Discrete Structures 2 (3 credits)

  Offered by: Mathematics and Statistics (Faculty of Science)

  Overview

  Mathematics & Statistics (Sci) : Review of mathematical writing, proof techniques, graph theory and counting. Mathematical logic. Graph connectivity, planar graphs and colouring. Probability and graphs. Introductory group theory, isomorphisms and automorphisms of graphs. Enumeration and listing.

  Terms: Winter 2014

  Instructors: Vetta, Adrian Roshan (Winter)

  • Winter

  • Prerequisites: MATH 235 or MATH 240 or MATH 242.

  • Corequisites: MATH 223 or MATH 236.

  • Restriction: Not open to students who have taken or are taking MATH 343 or MATH 350.