Courses

The student, in frequent consultation with his/her advisor, selects a thesis topic and writes a thesis proposal. Once the proposal has been accepted by the student's thesis advisory committee, he/ she begins writing the thesis. There are no formal classes.

The student, in consultation with his/her advisor, works towards completion of the thesis. Upon completion, the thesis must be defended orally before an examining committee. There are no formal classes.

Continuing Registration maintains the student’s enrolment in the program and is taken only when all required courses are complete and only as a continuation of an incomplete thesis. Although no credit is given for it, a fee is charged for each semester of enrolment.

Basic concepts in mathematics with applications in business. Topics include elementary counting and probability, variables, equations and functions, interest rates, annuities, and loan calculations. The course is aimed at business students and serves to enhance a student's understanding of mathematics and its usefulness in a business environment.

Students will explore probability theory, descriptive and inferential statistics at an introductory level; applications are taken from a wide range of disciplines. Topics include descriptive analysis, scientific visualization, sets, permutations and combinations, probability, discrete and continuous distributions (e.g. binomial, normal, t), confidence intervals, hypothesis testing, correlation and linear regression. Not for credit towards a major, concentration, or minor in Mathematics.

An introduction to the tools essential for the study of calculus. Topics include algebra, trigonometry, exponents, logarithms, functions, graphs, conics, and plane analytic geometry. This course is taken by Science majors whose screening test during registration indicates they are not ready to take MATH 123.

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.