Faculty of
Science and Technology

Faculty of
Science and Technology

Mathematics 216: Computer-oriented Approach to Statistics, is a three-credit, junior-level course designed to introduce the basic principles of statistical analysis, including organization and presentation of statistical data, probability theory and probability distributions, estimation of population parameters from sample data, hypothesis testing, and bivariate analysis.
MATH 266 continues the study of the calculus begun in MATH 265. The course focuses on definite integrals, which allow exact calculation of surface areas, volumes, the length of curves, and solutions of practical and theoretical problems.
MATH 309 explains methods of discrete mathematics that are useful in computer science. The course covers set theory, propositional calculus, predicate calculus, relations, functions, Boolean algebra, divisibility, combinatorics, automata, and formal languages.
Mathematics 315: Methods in Applied Statistics is a three-credit intermediate-level course designed to enable students to develop familiarity with various parametric and nonparametric tests and to gain the knowledge and skills needed to apply statistical concepts to solve applied problems. Students will learn the logic, procedures and the use of common statistical techniques using one of the most commonly used statistical package: SPSS for Windows.
MATH 365: Multivariable Calculus, is designed to introduce students to practical applications of calculus to problems in two and three dimensions, and to a theoretical understanding of some aspects of calculus in higher dimensions.
Mathematics 476: Partial Differential Equations, considers significant topics in partial differential equations.
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