Courses

Students specializing in the field of nursing will explore applied statistics at an introductory level. The focus is on developing the conceptual aspects of the subject rather than the mathematical foundations and assumes no prerequisite except elementary algebra. Topics include descriptive statistics, probability, the normal, t-, chi-square and F-distributions, confidence intervals, hypothesis testing, correlation, and regression. Applications are directed towards health and biological studies.

This course addresses functions, limits and continuity, derivatives and applications, and integrals and applications.

Transcendental functions, integration techniques, polar co-ordinates, sequences, series, and Taylor series.

An introduction to those branches of pure mathematics which are most commonly used in the study of Computing Science and/or have other practical applications. Topics include logic, proofs, switching circuits, set theory, induction, functions, languages, finite automata, combinatorics, and algebraic structures.

Mathematical concepts and topics that undergird the elementary school mathematics curriculum. Topics include principles and applications of number systems, sets, equations, linear programming, geometry, and mathematical proof within a historical and societal context. It may not be used to meet a mathematics requirement in any other program. Students are responsible for checking the mathematics requirements of the school at which they intend to take their professional year, as they may be different from those required to obtain a teaching certificate.

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

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.

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.

Systems of linear equations, matrices, determinants, vector spaces, linear transformations, eigenvalues and eigenvectors, diagonalization applications, and linear programming.