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Course Criteria
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3.00 Credits
Review of probability fundamentals, discrete random variables and probability distributions. The F distributions, chi-squared distributions, hypothesis testing, analysis of variance, linear regression and correlation, nonlinear and multiple regression, the analysis of categorical data, nonparametric procedures, use of a statistical software package. Prerequisite- Corequisite Prerequisite: MAT 124 Statistics I.
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3.00 Credits
This course is an introduction to the most common types of statistical designs and analyses of experiments. Topics include single-factor experiments with randomized blocks, Latin squares, incomplete blocks, two-factor experiments, 2k designs, fractional designs, response surface techniques, and other selected topics. Technology will be used throughout the course. Prerequisite- Corequisite Prerequisite: MAT 224 Statistics II or MAT 260 Applied Probability and Statistics.
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4.00 Credits
Sets, functions, mathematical induction, relations, partially ordered sets, combinatorics including permutations, the pigeonhole principle, binomial and multinominal coefficients, recurrance relations, generating functions, the principle of inclusion-exclusion. Graph theory, including paths and connectedness, minimum length paths, Eulerian and Hamiltonian graphs, graph isomorphisms, trees, planar and nonplanar graphs. Prerequisite- Corequisite Prerequisite: MAT 182 Calculus II.
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4.00 Credits
Descriptive statistics, probability and random variables, discrete and continuous probability distributions, joint distributions, sampling distributions, confidence interval estimates, hypothesis tests on means, categorical populations, and the form of distributions, linear regression analysis on bivariate and multivariate data, single factor ANOVA, randomized block experiments, all with a strong emphasis on engineering applications and the use of statistical software to simulate, model, and analyze data. Prerequisite- Corequisite Prerequisite: MAT 182 Calculus II w/Analytic Geometry
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4.00 Credits
Linear equations and matrices, vector spaces, inner product spaces, linear independence, linear transformations. Determinants and Cramer’s rule, systems of homogeneous equations, Gram-Schmidt process and diagonalization. Eigenvalues and eigenvectors and applications. Prerequisite- Corequisite Prerequisite: MAT 182 Calculus II w/Analytic Geometry.
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3.00 Credits
This course provides a rigorous introduction to the concepts of sets, measures, functions, sequences, series and metric spaces. Emphasis will be placed on writing mathematics clearly and concisely. Recommended for Mathematics majors or Computer Science and Engineering Science students as advised. Prerequisite- Corequisite Prerequisite: MAT 281 Calculus III or permission of the instructor.
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4.00 Credits
Triple integrals with cylindrical and spherical coordinates. Vector geometry and vector calculus in two and three dimensions. Calculus of multivariable functions: gradient, extrema and optimization (with and without constraints). Line and surface integrals. Green’s theorem and Stokes’ theorem. Prerequisite- Corequisite Prerequisite: MAT 182 Calculus II.
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4.00 Credits
First and second order differential equations. Matrices, determinants, eigenvalues and eigenvectors, and systems of linear equations. Linear independence, the Wronskian, and differential operators. Homogeneous and nonhomogeneous linear differential equations with constant coefficients. Methods of undetermined coefficients, and variation of parameters. Systems of linear differential equations, Laplace transforms, and power series solutions. Prerequisite- Corequisite Prerequisite: MAT 182 Calculus II or equivalent.
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1.00 - 4.00 Credits
The student undertakes an independent project in his/her specialty under the guidance of a faculty member. Only one independent study course allowed per semester. Consideration may be given a project involving work assignment. Prerequisite- Corequisite Prerequisite: Department Chairperson Permission.
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2.00 Credits
Introduction to the profession of medical assisting. Topics include: qualifications and duties, professional affiliation, history of medicine, ethics and professionalism, and the role of the medical assistant in the physician’s office. Orientation to effective interactions with patients and staff.
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