ƽÌØÎå²»ÖÐ

Program Requirements

Students may complete this program with a minimum of 72 credits or a maximum of 75 credits depending on whether or not they are exempt from taking COMP 202.

Program Prerequisites

Students must consult an Honours adviser in both departments. Students entering the Joint Honours in Mathematics and Computer Science are normally expected to have completed the courses below or their equivalents. Otherwise, they will be required to make up any deficiencies in these courses over and above the 72-75 credits of courses in the program.

• MATH 133 Linear Algebra and Geometry (3 credits)

  Offered by: Mathematics and Statistics (Faculty of Science)

  Overview

  Mathematics & Statistics (Sci) : Systems of linear equations, matrices, inverses, determinants; geometric vectors in three dimensions, dot product, cross product, lines and planes; introduction to vector spaces, linear dependence and independence, bases; quadratic loci in two and three dimensions.

  Terms: Fall 2017, Winter 2018, Summer 2018

  Instructors: Kelome, Djivede; Dolce, Francesco; Qiu, Guohuan; Sharma, Amit (Fall) Wang, Haining (Winter) Patrias, Rebecca (Summer)

  • 3 hours lecture, 1 hour tutorial

  • Prerequisite: a course in functions

  • Restriction A: Not open to students who have taken MATH 221 or CEGEP objective 00UQ or equivalent.

  • Restriction B: Not open to students who have taken or are taking MATH 123, MATH 130 or MATH 131, except by permission of the Department of Mathematics and Statistics.

  • Restriction C: Not open to students who are taking or have taken MATH 134.

• MATH 140 Calculus 1 (3 credits)

  Offered by: Mathematics and Statistics (Faculty of Science)

  Overview

  Mathematics & Statistics (Sci) : Review of functions and graphs. Limits, continuity, derivative. Differentiation of elementary functions. Antidifferentiation. Applications.

  Terms: Fall 2017, Winter 2018, Summer 2018

  Instructors: Trudeau, Sidney; Meng, xianchang; Hu, Ying (Fall) Sektnan, Lars (Winter) Abdenbi, Brahim (Summer)

  • 3 hours lecture, 1 hour tutorial

  • Prerequisite: High School Calculus

  • Restriction: Not open to students who have taken MATH 120, MATH 139 or CEGEP objective 00UN or equivalent

  • Restriction: Not open to students who have taken or are taking MATH 122 or MATH 130 or MATH 131, except by permission of the Department of Mathematics and Statistics

  • Each Tutorial section is enrolment limited

• MATH 141 Calculus 2 (4 credits)

  Offered by: Mathematics and Statistics (Faculty of Science)

  Overview

  Mathematics & Statistics (Sci) : The definite integral. Techniques of integration. Applications. Introduction to sequences and series.

  Terms: Fall 2017, Winter 2018, Summer 2018

  Instructors: Gobin, Damien (Fall) Trudeau, Sidney; Gaster, Jonah; Fox, Thomas F (Winter) Nica, Bogdan Lucian; Causley, Broderick (Summer)

  • Prerequisites: MATH 139 or MATH 140 or MATH 150.

  • Restriction: Not open to students who have taken MATH 121 or CEGEP objective 00UP or equivalent

  • Restriction Note B: Not open to students who have taken or are taking MATH 122 or MATH 130 or MATH 131, except by permission of the Department of Mathematics and Statistics.

  • Each Tutorial section is enrolment limited

Required Courses (42 credits)

* Students who have sufficient knowledge in a programming language are not required to take COMP 202.

• COMP 202 Foundations of Programming (3 credits) *

  Offered by: Computer Science (Faculty of Science)

  Overview

  Computer Science (Sci) : Introduction to computer programming in a high level language: variables, expressions, primitive types, methods, conditionals, loops. Introduction to algorithms, data structures (arrays, strings), modular software design, libraries, file input/output, debugging, exception handling. Selected topics.

  Terms: Fall 2017, Winter 2018, Summer 2018

  Instructors: Becerra Romero, David; Alberini, Giulia (Fall) Oakes, Bentley; Alberini, Giulia (Winter) Alberini, Giulia (Summer)

  • 3 hours

  • Prerequisite: a CEGEP level mathematics course

  • Restrictions: COMP 202 and COMP 208 cannot both be taken for credit. COMP 202 is intended as a general introductory course, while COMP 208 is intended for students interested in scientific computation. COMP 202 cannot be taken for credit with or after COMP 250

• COMP 206 Introduction to Software Systems (3 credits)

  Offered by: Computer Science (Faculty of Science)

  Overview

  Computer Science (Sci) : Comprehensive overview of programming in C, use of system calls and libraries, debugging and testing of code; use of developmental tools like make, version control systems.

  Terms: Fall 2017, Winter 2018

  Instructors: Vybihal, Joseph P (Fall) Meger, David (Winter)

  • 3 hours

  • Prerequisite: COMP 202 or COMP 250

• COMP 250 Introduction to Computer Science (3 credits)

  Offered by: Computer Science (Faculty of Science)

  Overview

  Computer Science (Sci) : Mathematical tools (binary numbers, induction, recurrence relations, asymptotic complexity, establishing correctness of programs), Data structures (arrays, stacks, queues, linked lists, trees, binary trees, binary search trees, heaps, hash tables), Recursive and non-recursive algorithms (searching and sorting, tree and graph traversal). Abstract data types, inheritance. Selected topics.

  Terms: Fall 2017, Winter 2018

  Instructors: Langer, Michael (Fall) Gonzalez Oliver, Carlos; Waldispuhl, Jérôme (Winter)

  • 3 hours

  • Prerequisites: Familiarity with a high level programming language and CEGEP level Math.

  • Students with limited programming experience should take COMP 202 or equivalent before COMP 250. See COMP 202 Course Description for a list of topics.

• COMP 252 Honours Algorithms and Data Structures (3 credits)

  Offered by: Computer Science (Faculty of Science)

  Overview

  Computer Science (Sci) : The design and analysis of data structures and algorithms. The description of various computational problems and the algorithms that can be used to solve them, along with their associated data structures. Proving the correctness of algorithms and determining their computational complexity.

  Terms: Winter 2018

  Instructors: Devroye, Luc P (Winter)

  • 3 hours

  • Prerequisite: COMP 250 and MATH 240

  • Restrictions: Open only to students registered in following programs: Honours in Computer Science, Joint Honours in Mathematics and Computer Science, Honours in Applied Mathematics, Honours in Mathematics. Not open to students who have taken or are taking COMP 251.

  • Note: COMP 252 can be used instead of COMP 251 to satisfy prerequisites.

• COMP 273 Introduction to Computer Systems (3 credits)

  Offered by: Computer Science (Faculty of Science)

  Overview

  Computer Science (Sci) : Number representations, combinational and sequential digital circuits, MIPS instructions and architecture datapath and control, caches, virtual memory, interrupts and exceptions, pipelining.

  Terms: Fall 2017, Winter 2018

  Instructors: Siddiqi, Kaleem (Fall) Vybihal, Joseph P (Winter)

  • 3 hours

  • Corequisite: COMP 206.

• COMP 302 Programming Languages and Paradigms (3 credits)

  Offered by: Computer Science (Faculty of Science)

  Overview

  Computer Science (Sci) : Programming language design issues and programming paradigms. Binding and scoping, parameter passing, lambda abstraction, data abstraction, type checking. Functional and logic programming.

  Terms: Fall 2017, Winter 2018

  Instructors: Ferreira Ruiz, Francisco; Pientka, Brigitte (Fall) Verbrugge, Clark (Winter)

  • 3 hours

  • Prerequisite: COMP 250

• COMP 310 Operating Systems (3 credits)

  Offered by: Computer Science (Faculty of Science)

  Overview

  Computer Science (Sci) : Control and scheduling of large information processing systems. Operating system software - resource allocation, dispatching, processors, access methods, job control languages, main storage management. Batch processing, multiprogramming, multiprocessing, time sharing.

  Terms: Fall 2017, Winter 2018

  Instructors: Harmouche, Rola (Fall) Harmouche, Rola (Winter)

  • 3 hours

  • Prerequisite: COMP 273

• COMP 330 Theory of Computation (3 credits)

  Offered by: Computer Science (Faculty of Science)

  Overview

  Computer Science (Sci) : Finite automata, regular languages, context-free languages, push-down automata, models of computation, computability theory, undecidability, reduction techniques.

  Terms: Fall 2017

  Instructors: Crepeau, Claude (Fall)

  • 3 hours

  • Prerequisite: COMP 251 and MATH 240.

• COMP 362 Honours Algorithm Design (3 credits)

  Offered by: Computer Science (Faculty of Science)

  Overview

  Computer Science (Sci) : Basic algorithmic techniques, their applications and limitations. Problem complexity, how to deal with problems for which no efficient solutions are known.

  Terms: Winter 2018

  Instructors: Cai, Yang (Winter)

  • 3 hours

  • Prerequisite: COMP 252

  • Restriction: Not open to students who have taken or are taking COMP 360.

  • Note: COMP 362 can be used instead of COMP 360 to satisfy prerequisites.

• MATH 235 Algebra 1 (3 credits)

  Offered by: Mathematics and Statistics (Faculty of Science)

  Overview

  Mathematics & Statistics (Sci) : Sets, functions and relations. Methods of proof. Complex numbers. Divisibility theory for integers and modular arithmetic. Divisibility theory for polynomials. Rings, ideals and quotient rings. Fields and construction of fields from polynomial rings. Groups, subgroups and cosets; group actions on sets.

  Terms: Fall 2017

  Instructors: Wise, Daniel (Fall)

  • Fall

  • 3 hours lecture; 1 hour tutorial

  • Prerequisite: MATH 133 or equivalent

• MATH 248 Honours Advanced Calculus (3 credits)

  Offered by: Mathematics and Statistics (Faculty of Science)

  Overview

  Mathematics & Statistics (Sci) : Partial derivatives; implicit functions; Jacobians; maxima and minima; Lagrange multipliers. Scalar and vector fields; orthogonal curvilinear coordinates. Multiple integrals; arc length, volume and surface area. Line integrals; Green's theorem; the divergence theorem. Stokes' theorem; irrotational and solenoidal fields; applications.

  Terms: Fall 2017

  Instructors: Guan, Pengfei (Fall)

  • Fall and Winter and Summer

  • Prerequisites: MATH 133 and MATH 222 or consent of Department.

  • Restriction: Intended for Honours Mathematics, Physics and Engineering students

  • Restriction: Not open to students who have taken or are taking MATH 314

• MATH 251 Honours Algebra 2 (3 credits)

  Offered by: Mathematics and Statistics (Faculty of Science)

  Overview

  Mathematics & Statistics (Sci) : Linear equations over a field. Introduction to vector spaces. Linear maps and their matrix representation. Determinants. Canonical forms. Duality. Bilinear and quadratic forms. Real and complex inner product spaces. Diagonalization of self-adjoint operators.

  Terms: Winter 2018

  Instructors: Vonk, Jan (Winter)

  • Winter

  • Prerequisites: MATH 235 or permission of the Department

  • Restriction: Not open to students who are taking or have taken MATH 247

• MATH 255 Honours Analysis 2 (3 credits)

  Offered by: Mathematics and Statistics (Faculty of Science)

  Overview

  Mathematics & Statistics (Sci) : Basic point-set topology, metric spaces: open and closed sets, normed and Banach spaces, Hölder and Minkowski inequalities, sequential compactness, Heine-Borel, Banach Fixed Point theorem. Riemann-(Stieltjes) integral, Fundamental Theorem of Calculus, Taylor's theorem. Uniform convergence. Infinite series, convergence tests, power series. Elementary functions.

  Terms: Winter 2018

  Instructors: Choksi, Rustum (Winter)

  • Winter

  • Prerequisites: MATH 242 or MATH 254 or permission of the Department

• MATH 350 Graph Theory and Combinatorics (3 credits)

  Offered by: Mathematics and Statistics (Faculty of Science)

  Overview

  Mathematics & Statistics (Sci) : Graph models. Graph connectivity, planarity and colouring. Extremal graph theory. Matroids. Enumerative combinatorics and listing.

  Terms: Fall 2017

  Instructors: Volec, Jan (Fall)

  • Prerequisites: MATH 235 or MATH 240 and MATH 251 or MATH 223.

  • Restrictions: Not open to students who have taken or are taking MATH 343 or MATH 340.

  • Intended for students in mathematics or computer science honours programs.

Complementary Courses (33 credits)

3 credits selected from:

• MATH 242 Analysis 1 (3 credits)

  Offered by: Mathematics and Statistics (Faculty of Science)

  Overview

  Mathematics & Statistics (Sci) : A rigorous presentation of sequences and of real numbers and basic properties of continuous and differentiable functions on the real line.

  Terms: Fall 2017

  Instructors: Vetois, Jerome (Fall)

  • Fall

  • Prerequisite: MATH 141

  • Restriction(s): Not open to students who are taking or who have taken MATH 254.

• MATH 254 Honours Analysis 1 (3 credits) *

  Offered by: Mathematics and Statistics (Faculty of Science)

  Overview

  Mathematics & Statistics (Sci) : Properties of R. Cauchy and monotone sequences, Bolzano- Weierstrass theorem. Limits, limsup, liminf of functions. Pointwise, uniform continuity: Intermediate Value theorem. Inverse and monotone functions. Differentiation: Mean Value theorem, L'Hospital's rule, Taylor's Theorem.

  Terms: Fall 2017

  Instructors: Hundemer, Axel W (Fall)

  • Prerequisite(s): MATH 141

  • Restriction(s): Not open to students who are taking or who have taken MATH 242.

* It is strongly recommended that students take MATH 254.

18 credits in Mathematics, at least 12 credits selected from:

** Not open to students who have taken MATH 354.

*** Not open to students who have taken MATH 355.

+ Not open to students who have taken MATH 370.

++ Not open to students who have taken MATH 371.

• MATH 356 Honours Probability (3 credits) *

  Offered by: Mathematics and Statistics (Faculty of Science)

  Overview

  Mathematics & Statistics (Sci) : Sample space, probability axioms, combinatorial probability. Conditional probability, Bayes' Theorem. Distribution theory with special reference to the Binomial, Poisson, and Normal distributions. Expectations, moments, moment generating functions, uni-variate transformations. Random vectors, independence, correlation, multivariate transformations. Conditional distributions, conditional expectation.Modes of stochastic convergence, laws of large numbers, Central Limit Theorem.

  Terms: Fall 2017

  Instructors: Chen, Linan (Fall)

  • Fall

  • Prerequisite(s): MATH 133 or MATH 134, and MATH 222 or permisson of the Department.

  • Corequisite(s): MATH 242 or MATH 254

• MATH 387 Honours Numerical Analysis (3 credits)

  Offered by: Mathematics and Statistics (Faculty of Science)

  Overview

  Mathematics & Statistics (Sci) : Error analysis. Numerical solutions of equations by iteration. Interpolation. Numerical differentiation and integration. Introduction to numerical solutions of differential equations.

  Terms: Winter 2018

  Instructors: Tsogtgerel, Gantumur (Winter)

  • Taught in alternate years

  • Winter (even years)

  • Prerequisites: MATH 325 or MATH 315, COMP 202 or permission of instructor.

  • Corequisites: MATH 255 or MATH 243.

  • Restriction: Intended primarily for Honours students.

• MATH 454 Honours Analysis 3 (3 credits) **

  Offered by: Mathematics and Statistics (Faculty of Science)

  Overview

  Mathematics & Statistics (Sci) : Review of point-set topology: topological space, dense sets, completeness, compactness, connectedness and path-connectedness, separability. Arzela-Ascoli, Stone-Weierstrass, Baire category theorems. Measure theory: sigma algebras, Lebesgue measure and integration, L^1 functions. Fatou's lemma, monotone and dominated convergence theorem. Egorov, Lusin's theorems. Fubini-Tonelli theorem.

  Terms: Fall 2017

  Instructors: Bruneau, Laurent (Fall)

• MATH 455 Honours Analysis 4 (3 credits) ***

  Offered by: Mathematics and Statistics (Faculty of Science)

  Overview

  Mathematics & Statistics (Sci) : Continuation of measure theory. Functional analysis: L^p spaces, linear functionals and dual spaces, Hahn-Banach theorem, Riesz representation theorem. Hilbert spaces, weak convergence. Spectral theory of compact operator. Introduction to Fourier analysis, Fourier transforms.

  Terms: Winter 2018

  Instructors: Vetois, Jerome (Winter)

  • Restriction(s): Not open to students who have taken MATH 355.

• MATH 456 Honours Algebra 3 (3 credits) +

  Offered by: Mathematics and Statistics (Faculty of Science)

  Overview

  Mathematics & Statistics (Sci) : Introduction to monoids, groups, permutation groups; the isomorphism theorems for groups; the theorems of Cayley, Lagrange and Sylow; structure of groups of low order. Introduction to ring theory; integral domains, fields, quotient field of an integral domain; polynomial rings; unique factorization domains.

  Terms: Fall 2017

  Instructors: Goren, Eyal Z (Fall)

  • Restriction(s): Not open to students who have taken MATH 370.

• MATH 457 Honours Algebra 4 (3 credits) ++

  Offered by: Mathematics and Statistics (Faculty of Science)

  Overview

  Mathematics & Statistics (Sci) : Introduction to modules and algebras; finitely generated modules over a principal ideal domain. Field extensions; finite fields; Galois groups; the fundamental theorem of Galois theory; application to the classical problem of solvability by radicals.

  Terms: Winter 2018

  Instructors: Sabok, Marcin (Winter)

  • Restriction(s): Not open to students who have taken MATH 371.

The remaining credits should be selected from honours courses given by the Department of Mathematics and Statistics.

12 credits in Computer Science, selected from Computer Science courses at the 300 level or above excluding COMP 364 and COMP 396. ECSE 508 may also be taken.