Welcome to the  Walla Walla University Department of Mathematics Moodle server. Here you will find resources for all MATH courses offered by the department.

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    Available courses

    Introduction to mathematics, including algebraic concepts, sets, counting, probability, and descriptive statistics. Additional topics selected from geometry, logic, matrices, linear programming, game theory, mathematics of finance, and stochastic processes.

    Study of college algebra including integers; rational, real, and complex numbers; equations and inequalities; polynomials, algebraic, exponential, and logarithmic functions; and graphs.

    Study of college precalculus including trigonometric functions and graphs; trigonometric identities; matrices; determinants; sequences and series; mathematical induction; the binomial theorem; counting; and probability.

    Study of functions, limits, continuity, derivatives, definite integrals, and the Fundamental Theorem of Calculus.

    Study of applied statistics, including methods of describing data, distributions, sampling, confidence intervals, hypothesis testing including analysis of variance, correlation, and regression.

    Introduction to discrete mathematical structures. Topics include combinatorics, sets, recursion, and graph theory.

    Study of indefinite integrals, calculus of inverse functions, and techniques and applications of integration.

    Study of sequences, series, polar coordinates, parametric equations, and vectors.

    Study of differential and integral calculus of multi-variable functions, line and surface integrals, Green's theorem, divergence theorem, and Stokes' theorem.

    Study of solutions of first order differential equations, solutions of linear differential equations of order n, applications, linear systems, and series solutions.

    Study of counting and probability, probability distributions and densities, mathematical expectation, functions of random variables, sampling distributions, interval estimation, hypothesis testing, and analysis of variance.

    Study of simple and multiple linear regression including estimation, hypothesis testing, data analysis, and appropriateness of models. Also includes a study of linear time series models including estimation, data analysis, and forecasting.

    Study of partial differential equations, boundary-value problems, and Fourier series.

    Study of fields, vector spaces, linear transformations, and other selected topics.

    Includes giving an oral report and writing a scholarly paper on an approved mathematical topic.

    Programming-in-the-small, introducing computer science principles and software engineering concepts for designing, coding, executing, and debugging within the C family of programming languages.  Laboratory work required.

    Concepts, principles, and implementation of modern computer I/O; networks, protocol layers, networking algorithms, and I/O programming.  Laboratory work required.

    Presentation and discussion of current topics of interest within computer science.  Each student is required to conduct an approved design project from conception to final oral and written reports.