Credit Course Schedules

Students will engage in the study of mathematics for everyday life. This course integrates fluency with numbers, proportional reasoning, percentages, basic algebra, and communicating quantitative information. Applications are emphasized throughout to help students improve their basic quantitative reasoning skills. Students will also learn the value of productive persistence in the learning process. This course prepares students to take MAT 1500 - Problem Solving with Mathematics. This course carries Imputed Credits. No requisites. J fall, spring; C fall, spring. Institutional Course Syllabus

Students will engage in the study of mathematics for everyday life. This course integrates fluency with numbers, proportional reasoning, percentages, basic algebra, and communicating quantitative information. Applications are emphasized throughout to help students improve their basic quantitative reasoning skills. Students will also learn the value of productive persistence in the learning process. This course prepares students to take MAT 1500 - Problem Solving with Mathematics. This course carries Imputed Credits. No requisites. J fall, spring; C fall, spring. Institutional Course Syllabus

Students will engage in the study of mathematics for everyday life. This course integrates fluency with numbers, proportional reasoning, percentages, basic algebra, and communicating quantitative information. Applications are emphasized throughout to help students improve their basic quantitative reasoning skills. Students will also learn the value of productive persistence in the learning process. This course prepares students to take MAT 1500 - Problem Solving with Mathematics. This course carries Imputed Credits. No requisites. J fall, spring; C fall, spring. Institutional Course Syllabus

Students will learn basic algebra skills necessary for further study in mathematics and other disciplines that involve quantitative problems. Topics include a review of arithmetic and Real numbers, linear equations and inequalities, the Cartesian coordinate system, unit analysis, properties of exponents, polynomial arithmetic, factoring techniques, the quadratic formula, and an introduction to right triangle trigonometry. Problem solving and applications are emphasized. This course carries Imputed Credits. No requisites. J fall, spring, C fall, spring. Institutional Course Syllabus

Students will learn basic algebra skills necessary for further study in mathematics and other disciplines that involve quantitative problems. Topics include a review of arithmetic and Real numbers, linear equations and inequalities, the Cartesian coordinate system, unit analysis, properties of exponents, polynomial arithmetic, factoring techniques, the quadratic formula, and an introduction to right triangle trigonometry. Problem solving and applications are emphasized. This course carries Imputed Credits. No requisites. J fall, spring, C fall, spring. Institutional Course Syllabus

Students will learn basic algebra skills necessary for further study in mathematics and other disciplines that involve quantitative problems. Topics include a review of arithmetic and Real numbers, linear equations and inequalities, the Cartesian coordinate system, unit analysis, properties of exponents, polynomial arithmetic, factoring techniques, the quadratic formula, and an introduction to right triangle trigonometry. Problem solving and applications are emphasized. This course carries Imputed Credits. No requisites. J fall, spring, C fall, spring. Institutional Course Syllabus

Students will learn basic algebra skills necessary for further study in mathematics and other disciplines that involve quantitative problems. Topics include a review of arithmetic and Real numbers, linear equations and inequalities, the Cartesian coordinate system, unit analysis, properties of exponents, polynomial arithmetic, factoring techniques, the quadratic formula, and an introduction to right triangle trigonometry. Problem solving and applications are emphasized. This course carries Imputed Credits. No requisites. J fall, spring, C fall, spring. Institutional Course Syllabus

Students will learn basic algebra skills necessary for further study in mathematics and other disciplines that involve quantitative problems. Topics include a review of arithmetic and Real numbers, linear equations and inequalities, the Cartesian coordinate system, unit analysis, properties of exponents, polynomial arithmetic, factoring techniques, the quadratic formula, and an introduction to right triangle trigonometry. Problem solving and applications are emphasized. This course carries Imputed Credits. No requisites. J fall, spring, C fall, spring. Institutional Course Syllabus

Students will learn basic algebra skills necessary for further study in mathematics and other disciplines that involve quantitative problems. Topics include a review of arithmetic and Real numbers, linear equations and inequalities, the Cartesian coordinate system, unit analysis, properties of exponents, polynomial arithmetic, factoring techniques, the quadratic formula, and an introduction to right triangle trigonometry. Problem solving and applications are emphasized. This course carries Imputed Credits. No requisites. J fall, spring, C fall, spring. Institutional Course Syllabus

Students will develop problem solving skills through a detailed study of topics such as financial mathematics, linear and exponential modeling, and geometry, in concert with specific problem solving strategies such as drawing diagrams, making systematic lists, looking for patterns, identifying sub-problems, and working backwards. Solution presentations and communication are emphasized. Prerequisite: any developmental MAT course or eligibility for any college-level MAT course. Prerequisite/Corequisite: ENG 1510. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus

Students will develop problem solving skills through a detailed study of topics such as financial mathematics, linear and exponential modeling, and geometry, in concert with specific problem solving strategies such as drawing diagrams, making systematic lists, looking for patterns, identifying sub-problems, and working backwards. Solution presentations and communication are emphasized. Prerequisite: any developmental MAT course or eligibility for any college-level MAT course. Prerequisite/Corequisite: ENG 1510. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus

Students will develop problem solving skills through a detailed study of topics such as financial mathematics, linear and exponential modeling, and geometry, in concert with specific problem solving strategies such as drawing diagrams, making systematic lists, looking for patterns, identifying sub-problems, and working backwards. Solution presentations and communication are emphasized. Prerequisite: any developmental MAT course or eligibility for any college-level MAT course. Prerequisite/Corequisite: ENG 1510. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus

Students will develop problem solving skills through a detailed study of topics such as financial mathematics, linear and exponential modeling, and geometry, in concert with specific problem solving strategies such as drawing diagrams, making systematic lists, looking for patterns, identifying sub-problems, and working backwards. Solution presentations and communication are emphasized. Prerequisite: any developmental MAT course or eligibility for any college-level MAT course. Prerequisite/Corequisite: ENG 1510. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus

Students will develop problem solving skills through a detailed study of topics such as financial mathematics, linear and exponential modeling, and geometry, in concert with specific problem solving strategies such as drawing diagrams, making systematic lists, looking for patterns, identifying sub-problems, and working backwards. Solution presentations and communication are emphasized. Prerequisite: any developmental MAT course or eligibility for any college-level MAT course. Prerequisite/Corequisite: ENG 1510. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus

Students will develop problem solving skills through a detailed study of topics such as financial mathematics, linear and exponential modeling, and geometry, in concert with specific problem solving strategies such as drawing diagrams, making systematic lists, looking for patterns, identifying sub-problems, and working backwards. Solution presentations and communication are emphasized. Prerequisite: any developmental MAT course or eligibility for any college-level MAT course. Prerequisite/Corequisite: ENG 1510. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus

Students will develop problem solving skills through a detailed study of topics such as financial mathematics, linear and exponential modeling, and geometry, in concert with specific problem solving strategies such as drawing diagrams, making systematic lists, looking for patterns, identifying sub-problems, and working backwards. Solution presentations and communication are emphasized. Prerequisite: any developmental MAT course or eligibility for any college-level MAT course. Prerequisite/Corequisite: ENG 1510. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus

Students will investigate various topics in both descriptive and inferential statistics including measures of central tendency and spread, graphical analysis of data, probability, random sampling, correlation and regression, hypothesis testing and confidence intervals. Practical applications are emphasized throughout the course. A significant part of the course is taught in a laboratory setting using a software package such as Minitab. Prerequisite: MAT 0550 or MAT1210 (or higher) or as determined by college placement. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus

Students will investigate various topics in both descriptive and inferential statistics including measures of central tendency and spread, graphical analysis of data, probability, random sampling, correlation and regression, hypothesis testing and confidence intervals. Practical applications are emphasized throughout the course. A significant part of the course is taught in a laboratory setting using a software package such as Minitab. Prerequisite: MAT 0550 or MAT1210 (or higher) or as determined by college placement. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus

Students will investigate various topics in both descriptive and inferential statistics including measures of central tendency and spread, graphical analysis of data, probability, random sampling, correlation and regression, hypothesis testing and confidence intervals. Practical applications are emphasized throughout the course. A significant part of the course is taught in a laboratory setting using a software package such as Minitab. Prerequisite: MAT 0550 or MAT1210 (or higher) or as determined by college placement. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus

Students will investigate various topics in both descriptive and inferential statistics including measures of central tendency and spread, graphical analysis of data, probability, random sampling, correlation and regression, hypothesis testing and confidence intervals. Practical applications are emphasized throughout the course. A significant part of the course is taught in a laboratory setting using a software package such as Minitab. Prerequisite: MAT 0550 or MAT1210 (or higher) or as determined by college placement. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus

Students will investigate various topics in both descriptive and inferential statistics including measures of central tendency and spread, graphical analysis of data, probability, random sampling, correlation and regression, hypothesis testing and confidence intervals. Practical applications are emphasized throughout the course. A significant part of the course is taught in a laboratory setting using a software package such as Minitab. Prerequisite: MAT 0550 or MAT1210 (or higher) or as determined by college placement. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus

Students will investigate various topics in both descriptive and inferential statistics including measures of central tendency and spread, graphical analysis of data, probability, random sampling, correlation and regression, hypothesis testing and confidence intervals. Practical applications are emphasized throughout the course. A significant part of the course is taught in a laboratory setting using a software package such as Minitab. Prerequisite: MAT 0550 or MAT1210 (or higher) or as determined by college placement. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus

Students will investigate various topics in both descriptive and inferential statistics including measures of central tendency and spread, graphical analysis of data, probability, random sampling, correlation and regression, hypothesis testing and confidence intervals. Practical applications are emphasized throughout the course. A significant part of the course is taught in a laboratory setting using a software package such as Minitab. Prerequisite: MAT 0550 or MAT1210 (or higher) or as determined by college placement. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus

Students will investigate various topics in both descriptive and inferential statistics including measures of central tendency and spread, graphical analysis of data, probability, random sampling, correlation and regression, hypothesis testing and confidence intervals. Practical applications are emphasized throughout the course. A significant part of the course is taught in a laboratory setting using a software package such as Minitab. Prerequisite: MAT 0550 or MAT1210 (or higher) or as determined by college placement. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus

Students will investigate various topics in both descriptive and inferential statistics including measures of central tendency and spread, graphical analysis of data, probability, random sampling, correlation and regression, hypothesis testing and confidence intervals. Practical applications are emphasized throughout the course. A significant part of the course is taught in a laboratory setting using a software package such as Minitab. Prerequisite: MAT 0550 or MAT1210 (or higher) or as determined by college placement. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus

Students will investigate various topics in both descriptive and inferential statistics including measures of central tendency and spread, graphical analysis of data, probability, random sampling, correlation and regression, hypothesis testing and confidence intervals. Practical applications are emphasized throughout the course. A significant part of the course is taught in a laboratory setting using a software package such as Minitab. Prerequisite: MAT 0550 or MAT1210 (or higher) or as determined by college placement. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus

Students will investigate various topics in both descriptive and inferential statistics including measures of central tendency and spread, graphical analysis of data, probability, random sampling, correlation and regression, hypothesis testing and confidence intervals. Practical applications are emphasized throughout the course. A significant part of the course is taught in a laboratory setting using a software package such as Minitab. Prerequisite: MAT 0550 or MAT1210 (or higher) or as determined by college placement. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus

Students will investigate various topics in both descriptive and inferential statistics including measures of central tendency and spread, graphical analysis of data, probability, random sampling, correlation and regression, hypothesis testing and confidence intervals. Practical applications are emphasized throughout the course. A significant part of the course is taught in a laboratory setting using a software package such as Minitab. Prerequisite: MAT 0550 or MAT1210 (or higher) or as determined by college placement. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus

Students will learn algebra and trigonometry topics necessary to prepare them for the study of precalculus. Topics include one-to-one functions and their inverses and graphs, polynomial and rational functions and their applications, radicals and exponents, complex numbers, and trigonometric functions, including graphs and basic identities. Problem-solving and applications are emphasized. An approved graphing calculator is required. Prerequisite: MAT 0550 or MAT1210 or as determined by college placement. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus

Students will learn algebra and trigonometry topics necessary to prepare them for the study of precalculus. Topics include one-to-one functions and their inverses and graphs, polynomial and rational functions and their applications, radicals and exponents, complex numbers, and trigonometric functions, including graphs and basic identities. Problem-solving and applications are emphasized. An approved graphing calculator is required. Prerequisite: MAT 0550 or MAT1210 or as determined by college placement. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus

Students will learn algebra and trigonometry topics necessary to prepare them for the study of precalculus. Topics include one-to-one functions and their inverses and graphs, polynomial and rational functions and their applications, radicals and exponents, complex numbers, and trigonometric functions, including graphs and basic identities. Problem-solving and applications are emphasized. An approved graphing calculator is required. Prerequisite: MAT 0550 or MAT1210 or as determined by college placement. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus

Students will learn algebra and trigonometry topics necessary to prepare them for the study of precalculus. Topics include one-to-one functions and their inverses and graphs, polynomial and rational functions and their applications, radicals and exponents, complex numbers, and trigonometric functions, including graphs and basic identities. Problem-solving and applications are emphasized. An approved graphing calculator is required. Prerequisite: MAT 0550 or MAT1210 or as determined by college placement. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus

Students will learn topics necessary for studying calculus and discrete mathematics. Algebra topics include rational and polynomial functions. Trigonometry topics include graphs, identities, half and double-angle formulas, and inverse trig functions. Other topics include exponential and logarithmic functions, and an introduction to limits. An approved graphing calculator is required. Prerequisite: MAT1590 (or higher); or as determined by college placement. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus

Students will learn topics necessary for studying calculus and discrete mathematics. Algebra topics include rational and polynomial functions. Trigonometry topics include graphs, identities, half and double-angle formulas, and inverse trig functions. Other topics include exponential and logarithmic functions, and an introduction to limits. An approved graphing calculator is required. Prerequisite: MAT1590 (or higher); or as determined by college placement. J fall, spring; C fall, spring; Online fall, spring. Institutional Course Syllabus

Students will master fundamental concepts of discrete mathematics that are essential for further studies in mathematics and computer science. Topics include symbolic logic and deductive reasoning, methods of proof, set theory, combinatorics, Boolean algebra, number theory, relations, and graph theory. Prerequisite: MAT 1600 or high school precalculus or equivalent. Institutional Course Syllabus

Students will master fundamental concepts of discrete mathematics that are essential for further studies in mathematics and computer science. Topics include symbolic logic and deductive reasoning, methods of proof, set theory, combinatorics, Boolean algebra, number theory, relations, and graph theory. Prerequisite: MAT 1600 or high school precalculus or equivalent. Institutional Course Syllabus

Students will master fundamental concepts of discrete mathematics that are essential for further studies in mathematics and computer science. Topics include symbolic logic and deductive reasoning, methods of proof, set theory, combinatorics, Boolean algebra, number theory, relations, and graph theory. Prerequisite: MAT 1600 or high school precalculus or equivalent. Institutional Course Syllabus

Students will study the fundamental concepts of calculus. Topics include an introduction to analytic geometry, functions, limits and continuity, and derivatives and integrals and their applications. An approved graphing calculator is required. A computer algebra system such as DERIVE is incorporated into the course. Prerequisite: MAT 1600 or high school precalculus or equivalent. Institutional Course Syllabus

Students will further their study of calculus. Topics include applications of the definite integral such as volume, surface area and arc lengths, logarithmic and exponential functions, trigonometric and hyperbolic functions, techniques of integration, polar coordinates, parametric equations, improper integrals, and sequences and series including power series and Taylor series. An approved graphing calculator is required. A computer algebra system such as DERIVE is incorporated into the course. Prerequisite: MAT 1710. Institutional Course Syllabus

Honors students are required to successfully complete two one-credit, project-based honors courses which are related to courses in which they are currently enrolled or have recently completed. Each project must include some form of applied learning: field-work, internship, service learning, innovative/creative project, and/or undergraduate research. Institutional Course Syllabus

Students will study differential equations of the first and higher order, systems of linear differential equations, and LaPlace transforms. Applications are stressed throughout the course. The course is intended for students majoring in mathematics, computer science, and engineering. Prerequisite: MAT 1720, MAT 2650 strongly recommended. Institutional Course Syllabus