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This course provide foundational and supportive mathematics instruction for college students. Emphasis is placed upon conceptual understanding of mathematics with corresponding computational skill development.
This course is a study of analysis of variance, multiple regression, non-parametric methods, time series, index numbers, and decision analysis.
This course examines properties of the integers including prime numbers and their distribution, the Euclidean algorithm, linear and nonlinear Diophantine equations, congruences, multiplicative functions, primitive roots, continued fractions and quadratic residues. Applications of number theory to such areas as computer science, cryptography, and networks are studied. Software technology such as Mathematica, Matlab, or Maple is also used to examine number theoretic properties and their applications.
This course is an introduction to Euclidean andnon-Euclidean geometries and synthetic projective geometry, the concept of limit and infinity, geometrical constructions, and recent developments and theorems.
This course is a study of the methods of solution of ordinary and partial differential equations and of applications of differential equations.
This course is a study of geometric vectors, matrices and linear equations, real vector spaces, linear transformations and matrices, and inner product spaces.
This course is designed to introduce the process of presenting solutions to mathematical problems, proofs to mathematical theorems, and preparing and presenting research papers in the mathematical sciences. (This course may also be taken for credit as CPSC 373.)
This course is an introduction to probability, basic distribution theory, mathematical expectations, probability densities, and random variables.
This course is a study of sampling distributions, point and interval estimation, tests of hypotheses, regression and correlation, and analysis of variance.
This course is a study of numerical methods in evaluating integrals and differential equations, techniques in finding the roots of polynomials, solving systems of linear equations, and matrix manipulation. (This course may be taken for credit as CPSC 390.)
