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Courses

A summary of each course to help with your selection.

Academic Year

Programs

Course ID

Course ID	Course
MATH 191	MATH 191 Mathematics, History & Culture Course Credits: 3 Investigates the history of some of the principal mathematical societies, including ancient Egypt, Babylon, and Greece; pre-modern Islamic societies, India, and China; indigenous cultures; and the modern west, providing context for students’ performance of arithmetic, algebra, and geometry. Students shall discover how mathematics is shaped by, and itself shapes, historical movements, philosophical positions, and issues of faith NB: Credit cannot be received for both Math 190 and Math 191. This course cannot count towards a MATH minor, concentration, major or CMPT program.
MATH 203	MATH 203 Probability & Statistics I Course Credits: 3 An introduction to the theory and application of probability and statistics for students who have experience with calculus. Topics include data collection, descriptive statistics, probability, random variables and standard distributions, central limit theorem, hypothesis tests, interval estimates, and linear regression. Computer software will be used to display, analyze, and simulate data. The focus will be on biostatistics with applications using data from the life sciences. Cross-listed: STAT 203 Prerequisite(s): MATH 123 NB: Credit is granted for only one of MATH/STAT 102, 108, 203.
MATH 223	MATH 223 Calculus III Course Credits: 3 Multivariate calculus. Topics include vectors, vector functions and derivatives; curves; partial and directional derivatives; Lagrange multipliers; double and triple integrals; spherical and cylindrical co-ordinates; vector integrals, Green's Theorem, and surface integrals. Prerequisite(s): MATH 124
MATH 250	MATH 250 Linear Algebra Course Credits: 3 Systems of linear equations, matrices, determinants, vector spaces, linear transformations, eigenvalues and eigenvectors, diagonalization applications, and linear programming. Prerequisite(s): MATH 123 or 150
MATH 290	MATH 290 Mathematics for the Environment Course Credits: 3 Examines mathematical techniques for understanding place-based environmental issues, analyzing situations, and taking appropriate action. Students will apply methods for collecting, understanding, and displaying data effectively, including gathering environmental data outdoors, then make conclusions using basic inferential statistics. Students will also examine the use of stock-flow systems and other mathematical tools to model interacting populations, energy, pollution spread, recycling, and financial networks. Prerequisite(s): 3 sem. hrs. of mathematics
MATH 310	MATH 310 Mathematical Statistics Course Credits: 3 The mathematics of inferential statistics. Topics include probability distributions and densities, expectation, moment-generating functions, functions of random variables, limiting distributions, and the theory behind statistical methods such as estimation, hypothesis testing, regression and correlation. Cross-listed: STAT 310 Prerequisite(s): MATH/STAT 203, MATH 223
MATH 311	MATH 311 Ordinary Differential Equations Course Credits: 3 First-order differential equations, linear differential equations, Laplace transforms, systems of differential equations, non-linear systems, series solutions, applications in the physical, biological, social, and engineering sciences. Prerequisite(s): MATH 124, 250 NB: Credit is granted for only one of MATH 311 or MATH 321. Not offered every year. See department chair.
MATH 313	MATH 313 The Real Line Course Credits: 3 Introduction to principles of real analysis. Topics include rational numbers, completeness, sequences, limits, continuity, and implications to Calculus. Prerequisite(s): MATH 124, 150 NB: Credit is granted for only one of MATH 313 or MATH 323. Not offered every year. See department chair.
MATH 317	MATH 317 Scientific Computation Course Credits: 3 Symbolic and numerical computations used in scientific modelling based on Calculus and Linear Algebra, with emphasis on applications in physics and biology. Topics include error analysis, linear systems, roots of equations, interpolation, numerical differentiation, and integration. Further topics may include: eigenvalues and singular values, approximation theory, and non-linear systems. Cross-listed: CMPT 317. Prerequisite(s): MATH 124, MATH 250, and CMPT 140. NB: Credit is granted for only one of MATH/CMPT 317 and MATH/CMPT 327 and MATH/CMPT 330.

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