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Courses

A summary of each course to help with your selection.

Academic Year

Programs

Course ID

Course ID	Course
CMPT 166	CMPT 166 Introduction to Computing Science & Programming II Course Credits: 3 A rigorous introduction to computing science and computer programming. Students will learn in- depth programming concepts by seeing how object oriented (OO) concepts are employed in the design and writing of code in a variety of notations. The emphasis is on the theory of OO programming and design of solutions, as well as implementation using an OO language such as Java or C++. Prerequisite(s): CMPT 140 with a minimum grade of C+
MATH 123	MATH 123 Calculus I Course Credits: 3 This course addresses functions, limits and continuity, derivatives and applications, and integrals and applications. Prerequisite(s): Pre-Calculus 12 or equivalent, or MATH 105. (4-1)
MATH 124	MATH 124 Calculus II Course Credits: 3 Transcendental functions, integration techniques, polar co-ordinates, sequences, series, and Taylor series. Prerequisite(s): MATH 123
MATH 150	MATH 150 Introduction to Discrete Math Course Credits: 3 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. Cross-listed: CMPT 150 Prerequisite(s): BC high school Mathematics 12, or Pre-Calculus 12, or MATH 105, or the equivalent
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

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