This course introduces differential calculus. Topics include derivatives of algebraic, trigonometric, and exponential functions and applications such as curve sketching, related rates, and optimization problems. [Note 1: This course has a Challenge for Credit option; see Calendar Section 3.11] (Format: Lecture 3 Hours, Laboratory 1.5 Hours)(Distribution: Natural Science-a) (Exclusion: MATH 1151; any version of MATH 1111 previously offered with a different title) Monday Wednesday and Friday 8:30 to 9:20AM Sir James Dunn Building 113.

- Teacher: Nathaniel Johnston

This course continues the introduction to calculus begun in MATH 1111. Topics include techniques of integration; applications of the integral such as finding volumes and solving elementary differential equations; and sequences and series. (Format: Lecture 3 Hours, Laboratory 1.5 Hours) (Exclusion: Any version of MATH 1121 previously offered with a different title) Monday Wednesday and Friday 12:30 to 1:20PM Sir James Dunn Building 113.

- Teacher: Andrew Irwin

This course introduces first and second order differential equations. Topics include techniques for solving simple differential equations and the qualitative analysis of linear and non-linear equations. Applications include growth and decay, heating and cooling, and mixing and chemical reactions. (Format: Lecture 3 Hours) (Exclusion: Any version of MATH 2121 previously offered with a different title) Monday Wednesday and Friday 1:30 to 2:20PM Flemington 103.

- Teacher: Andrew Irwin

An introductory course in linear algebra covering such topics as linear equations, matrices, determinants, vector spaces, linear transformations, inner products, eigenvalues, and eigenvectors. Whenever possible, concepts are given a geometric interpretation in two and three-dimensional space. (Format: Lecture 3 Hours) Monday Wednesday and Friday 10:30 to 11:20AM Avard Dixon 118.

- Teacher: Nathaniel Johnston

This is a second course in the concepts and techniques of probability and statistics. The course covers a selection of topics from analysis of variance, linear and nonlinear regression, correlation estimation and prediction, independence, Wilcoxon and goodness-of-fit tests and includes data analysis using statistical software. Examples come from a wide variety of sources and disciplines. (Format: Lecture 3 Hours, Laboratory 1 Hour) Wednesday and Friday 9:30 to 10:20AM Sir James Dunn Building 106.

- Teacher: Robert Sealy

This course covers analytic functions, Cauchy-Riemann equations, conformal mapping, complex integrals, Cauchys integral theorem, Taylor and Laurent Series, residues,evaluation of real integrals, and inverse transforms. (Format: Lecture 3 Hours; Exclusion MATH 4131) Monday Wednesday and Friday 9:30 to 10:20AM Avard Dixon G10.

- Teacher: Rory Lucyshyn-Wright

This course introduces numerical methods for solving a variety of problems in mathematics, the natural sciences, and engineering and the implementation of numerical methods on a computer. Topics include numerical stability, polynomial approximation and interpolation, integration and solution of differential equations, solution of linear and nonlinear systems of equations, and matrix factorization. [Note 1: This course is cross-listed as COMP 3411 and may therefore count as three credits in either discipline.] (Format: Lecture 3 Hours) Tuesday and Thursday 1:00 to 2:20PM Sir James Dunn Building 106.

- Teacher: Rory Lucyshyn-Wright

This course introduces metric and topological spaces, convergence, and continuous functions. (Format: Lecture 3 Hours) Monday Wednesday and Friday 11:30 to 12:20PM Sir James Dunn Building 406.

- Teacher: Geoffrey Cruttwell