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PDF version - Saint Mary's University of Minnesota

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Mathematics and Statistics<br />

M321 Modern Geometry 3 credits<br />

This course is required for the Mathematics Education major. The course is designed to be an<br />

introduction to the foundations <strong>of</strong> geometry. Topics include: Euclidean geometry, non-Euclidean<br />

geometry, projective geometry, and geometric transformations. Offered in alternate spring semesters.<br />

Prerequisite: M152.<br />

M332 Probability 2 credits<br />

This calculus-based course is designed to provide mathematics majors and minors with an introduction<br />

to the mathematical underpinnings <strong>of</strong> statistics. Topics include: probability axioms, probability, Bayes’<br />

Theorem, random variables, discrete and continuous probability distributions, and expected value.<br />

Offered spring semester. Prerequisite: M152.<br />

M341 Differential Equations with Applications 3 credits<br />

This course provides an introduction to the theory, methods, and applications <strong>of</strong> ordinary differential<br />

equations. Topics include: first order differential equations, linear differential equations with constant<br />

coefficients, and systems <strong>of</strong> differential equations. Prerequisites: M251 and M252 (may be concurrent).<br />

M342 Numerical Analysis 3 credits<br />

This course provides an introduction to the theory and methods <strong>of</strong> numerical analysis. Topics include:<br />

numerical methods for solving linear and nonlinear equations, polynomial approximation <strong>of</strong> functions,<br />

numerical integration and differentiation, numerical approximation to solutions <strong>of</strong> differential<br />

equations, direct and iterative methods for solving systems <strong>of</strong> equations. Prerequisites: either CS106 or<br />

CS110/111, and M251, M252.<br />

M344 Applied Mathematics 3 credits<br />

This course serves physics majors as well as those mathematics majors whose area <strong>of</strong> interest is analysis.<br />

Topics include: Fourier series, the complex numbers, analytic functions, and derivatives and integrals <strong>of</strong><br />

complex functions. Other topics may include Laurent series and residues, partial differential equations<br />

and boundary value problems. Prerequisites: M251 and M252.<br />

M348 Complex Analysis 3 credits<br />

This course provides an introduction to the theory <strong>of</strong> functions <strong>of</strong> one complex variable. Topics include: the<br />

complex numbers, the complex derivative, analytic functions, power series, complex integration, Cauchy’s<br />

Theorem and Cauchy’s Integral Formula, Laurent series, and residues and poles. Prerequisite: M251.<br />

M350-359 Special Topics 3 credits<br />

Special topics in mathematics may be <strong>of</strong>fered depending on student interest.<br />

M361 Operations Research 3 credits<br />

This course is required for the mathematics education major, providing an introduction to techniques<br />

and applications <strong>of</strong> operations research. Topics include: linear programming, game theory, queuing<br />

theory, Markovian decision processes, and decision theory. Offered in alternate spring semesters.<br />

Prerequisites: M252 and M332.<br />

M401 Abstract Algebra 3 credits<br />

This course provides an introduction to algebraic structures. Topics include: groups, subgroups,<br />

quotient groups, group homomorphisms, rings, ideals, and fields. Offered in alternate spring semesters.<br />

Prerequisites: M251, M252, and M301.<br />

M408 Topics in Mathematics 3 credits<br />

This course is designed to strengthen the mathematical background <strong>of</strong> students in elementary<br />

education. It is required for the endorsement in mathematics for elementary education. The course<br />

consists <strong>of</strong> a selection <strong>of</strong> mathematical topics <strong>of</strong> wide interest and applicability. Topics include: graph<br />

models, linear programming, scheduling and packing problems, allocation problems, and social<br />

decision problems. This course may not be used as an upper-division elective for the mathematics major<br />

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