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Courses

A summary of each course to help with your selection.

Academic Year

Programs

Course ID

Course ID	Course
MATH 203	MATH 203 Probability and 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. (3,0)
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. (3-0)
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 320	MATH 320 Complex Variables Course Credits: 3 Functions of a complex variable, differentiation, analytic and elementary functions, Cauchy's theorem and contour integration, Taylor and Laurent series, residues and poles, and conformal mapping. Emphasis is placed on physical applications. Prerequisite(s): MATH 223. NB: Not offered every year. See department chair.
MATH 321	MATH 321 Differential Equations Course Credits: 4 First-order differential equations, linear differential equations, Laplace transforms, systems of differential equations, non-linear systems, series solutions, introduction to partial differential equations. Special emphasis is placed on applications to physics and engineering. Cross-listed: PHYS 321. Co-requisite(s): MATH 223, 250. (4-0 or 4-0) NB: Credit is granted for only one of MATH 311 or MATH 321.
MATH 323	MATH 323 Analysis Course Credits: 4 Sequences and induction; convergence of sequences and series; limits, continuity, and differentiability; Riemann integrals; sequences of functions and an introduction to topology. Prerequisite(s): MATH 150, 223. (4-0) NB: Credit is granted for only one of MATH 313 or MATH 323.

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