10 courses with the subject MAT, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
This course presents numbers, linear equations, linear inequalities, matrix algebra with applications, linear programming and the simplex method. The course is designed for business administration majors. PREREQUISITE: None
This course examines sets, counting techniques, probability, decision theory, statistics and Math of Finance. PREREQUISITE: None 265
This course examines the various tools and techniques used in analyzing quantitative data, including descriptive statistics, probability and random variables, sampling design, theory of estimation and hypothesis testing for parameters of a single population, student 't' and normal distributions. A year of high school algebra is recommended but not required. The course will make active use of technology by requiring the use of computer software. PREREQUISITE: None
This course presents a survey of college algebra to include sets, field properties, solution of equations and inequalities, functions, graphing, the factor theorem, analytic geometry and exponential and logarithmic functions. The course will make active use of technology by requiring the use of a graphing calculator. PREREQUISITE: One year of both Algebra and
98
This course presents the principles of statistics as applied to the analysis of biological and health data. Topics include descriptive statistics, probability distributions, hypothesis testing, analysis of variance, non-parametric statistics and regression analysis. The course will make active use of technology by requiring the use of computer software. PREREQUISITE: MAT1840
This course stresses the application of probability and statistics in business decision-making using cross-sectional and historical data. The course begins with estimation and hypothesis testing for parameters of two populations. The Chi-square distribution is applied to contingency tables and the F distribution is applied to analysis of variance with emphasis on statistical decision-making models. Time series analysis, linear regression and correlation models are constructed and estimated. The traditional tests of statistical significance are applied and the models are examined in light of the assumptions underlying the least-squares technique. The course will make active use of technology by requiring the use of computer software.
This course discusses limits, continuity, derivatives, maximum and minimum problems, related rates and Mean Value Theorem. The course will make active use of technology by requiring the 266
Plus a minimum of 12 credit hours in courses from the following: BIO1200, BIO1210, any 2000 or higher level in biology, chemistry, or mathematics, with the exception of courses specified by each department. 120
Topics include: descriptive statistics theory and application of univariate frequency distributions, measures of central tendency, dispersion, skewness and kurtosis, probability theory and 168
Source: American International College's catalog, linked per course · table learning_unit · CourseShelf publish 61
