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A summary of each course to help with your selection.
Course ID
Course
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.
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
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
NB: Credit is granted for only one of MATH 313 or MATH 323.