Mathematics & Analytics

All first-year students should take the University’s Mathematics Placement Test upon admission. Transfer students will need to take the test only if they cannot provide evidence of having completed a college course in mathematics or analytics equivalent to one of the courses listed in the Mathematics and Analytics section of the University’s General Education Program

Students who do not wish to take the Mathematics Placement Test must successfully complete MATH 90: Fundamentals of Mathematics before registering for a course in the Mathematics and Analytics Category of General Education.

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Provides knowledge of how statistics are used to evaluate theories in the social sciences. Students will become familiar with a variety of descriptive and inferential statistical techniques such as: frequency distributions, descriptive statistics, probability, correlation, and hypothesis testing. During the course, students will learn how to use SPSS (a computer statistical program for Social Sciences) to carry out statistical procedures. Credits 3. Prerequisites: None
Introduces functions and graphs, continuity and exponential functions. Standard topics to be covered include concepts and rules of the differentiation of one variable functions, the meaning and application of derivatives in decision making management problems, integrals and the limits of one variable functions, as well as rules, interpretation, logarithm functions, definite integral, functions of several variables and application of partial derivatives. Students practice with various mathematical methods and learn how to model and analyze real world examples using mathematical tools and apply deductive reasoning as well. Credits: 3
Introduces discrete and continuous probability spaces, statistical independence, distributions, discrete and continuous random variables, expectations, moment generating functions, limiting distributions, estimation of parameters, confidence intervals, hypothesis testing with applications, linear regression and correlation and multiple linear regressions. Students learn to define probability as a measure of uncertainty and as a set function, apply the algebra of sets and use various counting techniques to determine elementary probabilities. The class includes calculation of probabilities, means, variances, and moment-generating functions, and investigates approximation theorems. Students also study basic statistical inference theory. Prerequisites: MATH150. Credits: 3
The course develops different mathematical techniques and investigates various examples and applications, emphasizing in techniques and applications of derivatives and integration, multiple integrals, limits, continuity, series and polar coordinates. Prerequisites: Math 150. Credits: 3
Develops different fundamental methods of solving first and higher order equations and analyzes essentials of matrix algebra, linear and nonlinear systems, power series solutions and Laplace transforms.Prerequisites: MATH150 Credits:3

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