9 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.
Introduces students to solving problems by using geometric and algebraic approaches. Topics include the Cartesian coordinate system, linear equations, absolute value, rational and exponential functions, systems of linear equations, linear inequalities, logarithms, and polynomials.
Introduces students to the personal use of mathematics to explore arithmetic-based and algebra-based business applications including linear functions, quadratic functions, and systems of linear equations.
Introduces statistical methods and procedures. Students become acquainted with the collection, analysis, and presentation of quantitative data. Topics include basic concepts of probability, frequency distributions, binomial distributions, sampling theory, hypothesis testing, and regression and correlation.
Continues the course content presented in Statistics I. Topics include sample hypothesis tests, sample inferences, F-tests, chi-square tests, linear correlation, and linear regression.
Introduces a collection of quantitative methods used to analyze data and inform management decisions. The topics that will be covered include describing and summarizing data, sampling and estimation, hypothesis testing, single variable linear regression, and multivariable regression. This course focuses on honing the understanding of key course concepts, managerial judgment, and ability to apply these concepts to real business problems.
Involves readings and discussions, at an introductory level, organized around selected topics in mathematics. Topics vary each semester.
Covers mathematical topics most directly related to the fields of information technology management and/or computer science. Topics include logic, relations, functions, basic set theory, graph theory, combinatorics, recursive functions, and Boolean algebra.
Introduces students to differential and integral calculus, with an emphasis on applications. This course is intended for students in data science and business. Topics include modeling change using functions, the concept of the derivative, computing the derivative, applications of the derivative to business, and computer sciences, and an introduction to integration.
Involves readings and discussions, at an advanced level, organized around selected topics in mathematics. Topics vary each semester. 464
Source: Berkeley College-New York's catalog, linked per course · table learning_unit · CourseShelf publish 61
