Math Placement

Math 57A is the first of a two-course sequence in the study of statistical methods integrated with algebraic tools to prepare students to analyze processes encountered in society and the workplace. The course covers an introduction to algebra and descriptive statistics in an integrated approach. Topics include data collection, organizing and interpreting data graphically, qualitative and quantitative data sets, measures of central tendency and measures of dispersion, bivariate data and scatter plots, linear functions and their graphs, nonlinear functions and their graphs, and applying technology to calculate various types of regressions. Students are expected to implement technology to perform calculations to organize data in order to make statistical conclusions. This sequence of courses is intended for students that are not planning on majoring in a science, technology, engineering, or mathematics related disciplines.

Math 59 is a first course in a two-course integrated sequence promoting analytical and critical thinking skills to prepare students for transfer-level mathematics courses. Students are challenged to analyze and dissect problems in various mathematical fields through contextualize applications of the topics, with the purpose of focusing on developing students' analytical and logical reasoning skills. Topics include numeracy; operations with numbers; functions; solving linear equations; graphically organizing data; constructing single and bi-variate graphs; reading, analyzing and interpreting graphs; applying mathematics in business accounting and personal finance; and practical geometry. This course is intended for students planning to major in any of the following fields of study: Fine Arts, Visual and Performing Arts, Humanities, Behavioral Sciences, Social Sciences, Business and related Managerial Sciences, Economics, or Life Sciences. This course is not intended for students planning to major in Science, Technology, Engineering, and Mathematics (STEM) fields of study.

If you want to learn a completely different aspect of mathematics, this course will definitely provide an opportunity to learn about topics and processes that are not part of any other math course you have seen; but more importantly this is the case not solely because of the content, but because of the way in which the content will be covered.

As a student of this course, you want to come in with a working basis of basic prealgebra conceptual and computational skills, including working knowledge in performing operations with fractions, decimals and percents, evaluating formulas at specific variable values, factoring composite numbers into their prime factor decomposition, using exponents to make expressions easier to express, knowledge of perfect squares, and interpreting a written statement into its equivalent mathematical expression.

What is just as important for you to have when entering this course, is a strong foundation on reading, writing and communication skills. Throughout the course, there will be important analytic reading and writing assignments for which oral presentations will be a meaningful component of the course.

You will explore mathematical topics in depth. The majority of all these topics are based on actual real-life data and phenomena. This course focuses on conceptual understanding where analytical reasoning and critical thinking skills will lead you to analyze and make conclusions of about the math application. This course has been developed not just to help you for future math course, but more importantly for all your future college courses.

Math 119X is intended for students who need more support than is offered by a traditional Math 119 course. The same material is covered but no prior knowledge is assumed.

This course covers descriptive and inferential statistics. The descriptive portion analyzes data through graphs, measures of central tendency and dispersion. The inferential statistics portion covers statistical rules to compute basic probability, including binomial, normal, Chi-squares, and T-distributions. This course also covers estimation of population parameters, hypothesis testing, linear regression, correlation and ANOVA. Emphasis is placed on applications of technology, using software packages, for statistical analysis and interpretation of statistical values based on data from disciplines including business, social sciences, psychology, life science, health science and education. This course is intended for transfer students interested in statistical analysis.

Math 57A is the first of a two-course sequence in the study of statistical methods integrated with algebraic tools to prepare students to analyze processes encountered in society and the workplace. The course covers an introduction to algebra and descriptive statistics in an integrated approach. Topics include data collection, organizing and interpreting data graphically, qualitative and quantitative data sets, measures of central tendency and measures of dispersion, bivariate data and scatter plots, linear functions and their graphs, nonlinear functions and their graphs, and applying technology to calculate various types of regressions. Students are expected to implement technology to perform calculations to organize data in order to make statistical conclusions. This sequence of courses is intended for students that are not planning on majoring in a science, technology, engineering, or mathematics related disciplines.

Math 59 is a first course in a two-course integrated sequence promoting analytical and critical thinking skills to prepare students for transfer-level mathematics courses. Students are challenged to analyze and dissect problems in various mathematical fields through contextualize applications of the topics, with the purpose of focusing on developing students' analytical and logical reasoning skills. Topics include numeracy; operations with numbers; functions; solving linear equations; graphically organizing data; constructing single and bi-variate graphs; reading, analyzing and interpreting graphs; applying mathematics in business accounting and personal finance; and practical geometry. This course is intended for students planning to major in any of the following fields of study: Fine Arts, Visual and Performing Arts, Humanities, Behavioral Sciences, Social Sciences, Business and related Managerial Sciences, Economics, or Life Sciences. This course is not intended for students planning to major in Science, Technology, Engineering, and Mathematics (STEM) fields of study.

If you want to learn a completely different aspect of mathematics, this course will definitely provide an opportunity to learn about topics and processes that are not part of any other math course you have seen; but more importantly this is the case not solely because of the content, but because of the way in which the content will be covered.

As a student of this course, you want to come in with a working basis of basic prealgebra conceptual and computational skills, including working knowledge in performing operations with fractions, decimals and percents, evaluating formulas at specific variable values, factoring composite numbers into their prime factor decomposition, using exponents to make expressions easier to express, knowledge of perfect squares, and interpreting a written statement into its equivalent mathematical expression.

What is just as important for you to have when entering this course, is a strong foundation on reading, writing and communication skills. Throughout the course, there will be important analytic reading and writing assignments for which oral presentations will be a meaningful component of the course.

You will explore mathematical topics in depth. The majority of all these topics are based on actual real-life data and phenomena. This course focuses on conceptual understanding where analytical reasoning and critical thinking skills will lead you to analyze and make conclusions of about the math application. This course has been developed not just to help you for future math course, but more importantly for all your future college courses.

Math 119X is intended for students who need more support than is offered by a traditional Math 119 course. The same material is covered but no prior knowledge is assumed.

This course covers descriptive and inferential statistics. The descriptive portion analyzes data through graphs, measures of central tendency and dispersion. The inferential statistics portion covers statistical rules to compute basic probability, including binomial, normal, Chi-squares, and T-distributions. This course also covers estimation of population parameters, hypothesis testing, linear regression, correlation and ANOVA. Emphasis is placed on applications of technology, using software packages, for statistical analysis and interpretation of statistical values based on data from disciplines including business, social sciences, psychology, life science, health science and education. This course is intended for transfer students interested in statistical analysis.

Math 57A is the first of a two-course sequence in the study of statistical methods integrated with algebraic tools to prepare students to analyze processes encountered in society and the workplace. The course covers an introduction to algebra and descriptive statistics in an integrated approach. Topics include data collection, organizing and interpreting data graphically, qualitative and quantitative data sets, measures of central tendency and measures of dispersion, bivariate data and scatter plots, linear functions and their graphs, nonlinear functions and their graphs, and applying technology to calculate various types of regressions. Students are expected to implement technology to perform calculations to organize data in order to make statistical conclusions. This sequence of courses is intended for students that are not planning on majoring in a science, technology, engineering, or mathematics related disciplines.

Math 59 is a first course in a two-course integrated sequence promoting analytical and critical thinking skills to prepare students for transfer-level mathematics courses. Students are challenged to analyze and dissect problems in various mathematical fields through contextualize applications of the topics, with the purpose of focusing on developing students' analytical and logical reasoning skills. Topics include numeracy; operations with numbers; functions; solving linear equations; graphically organizing data; constructing single and bi-variate graphs; reading, analyzing and interpreting graphs; applying mathematics in business accounting and personal finance; and practical geometry. This course is intended for students planning to major in any of the following fields of study: Fine Arts, Visual and Performing Arts, Humanities, Behavioral Sciences, Social Sciences, Business and related Managerial Sciences, Economics, or Life Sciences. This course is not intended for students planning to major in Science, Technology, Engineering, and Mathematics (STEM) fields of study.

If you want to learn a completely different aspect of mathematics, this course will definitely provide an opportunity to learn about topics and processes that are not part of any other math course you have seen; but more importantly this is the case not solely because of the content, but because of the way in which the content will be covered.

As a student of this course, you want to come in with a working basis of basic prealgebra conceptual and computational skills, including working knowledge in performing operations with fractions, decimals and percents, evaluating formulas at specific variable values, factoring composite numbers into their prime factor decomposition, using exponents to make expressions easier to express, knowledge of perfect squares, and interpreting a written statement into its equivalent mathematical expression.

What is just as important for you to have when entering this course, is a strong foundation on reading, writing and communication skills. Throughout the course, there will be important analytic reading and writing assignments for which oral presentations will be a meaningful component of the course.

You will explore mathematical topics in depth. The majority of all these topics are based on actual real-life data and phenomena. This course focuses on conceptual understanding where analytical reasoning and critical thinking skills will lead you to analyze and make conclusions of about the math application. This course has been developed not just to help you for future math course, but more importantly for all your future college courses.

Math 116X is intended for students who need more support than a traditional Math 116 course offers. This course is designed to strengthen the algebra skills of students seeking Business or Natural Science degrees who are required to take an applied calculus course. Topics in the course include the theory of functions; graphing functions; exponential and logarithmic functions; solving equations involving algebraic, exponential and logarithmic functions; solving systems of linear equations; matrix algebra; linear programming; modeling; and applications problems.

Math 119X is intended for students who need more support than is offered by a traditional Math 119 course. The same material is covered but no prior knowledge is assumed.

This course covers descriptive and inferential statistics. The descriptive portion analyzes data through graphs, measures of central tendency and dispersion. The inferential statistics portion covers statistical rules to compute basic probability, including binomial, normal, Chi-squares, and T-distributions. This course also covers estimation of population parameters, hypothesis testing, linear regression, correlation and ANOVA. Emphasis is placed on applications of technology, using software packages, for statistical analysis and interpretation of statistical values based on data from disciplines including business, social sciences, psychology, life science, health science and education. This course is intended for transfer students interested in statistical analysis.

Math 59 is a first course in a two-course integrated sequence promoting analytical and critical thinking skills to prepare students for transfer-level mathematics courses. Students are challenged to analyze and dissect problems in various mathematical fields through contextualize applications of the topics, with the purpose of focusing on developing students' analytical and logical reasoning skills. Topics include numeracy; operations with numbers; functions; solving linear equations; graphically organizing data; constructing single and bi-variate graphs; reading, analyzing and interpreting graphs; applying mathematics in business accounting and personal finance; and practical geometry. This course is intended for students planning to major in any of the following fields of study: Fine Arts, Visual and Performing Arts, Humanities, Behavioral Sciences, Social Sciences, Business and related Managerial Sciences, Economics, or Life Sciences. This course is not intended for students planning to major in Science, Technology, Engineering, and Mathematics (STEM) fields of study.

If you want to learn a completely different aspect of mathematics, this course will definitely provide an opportunity to learn about topics and processes that are not part of any other math course you have seen; but more importantly this is the case not solely because of the content, but because of the way in which the content will be covered.

As a student of this course, you want to come in with a working basis of basic prealgebra conceptual and computational skills, including working knowledge in performing operations with fractions, decimals and percents, evaluating formulas at specific variable values, factoring composite numbers into their prime factor decomposition, using exponents to make expressions easier to express, knowledge of perfect squares, and interpreting a written statement into its equivalent mathematical expression.

What is just as important for you to have when entering this course, is a strong foundation on reading, writing and communication skills. Throughout the course, there will be important analytic reading and writing assignments for which oral presentations will be a meaningful component of the course.

You will explore mathematical topics in depth. The majority of all these topics are based on actual real-life data and phenomena. This course focuses on conceptual understanding where analytical reasoning and critical thinking skills will lead you to analyze and make conclusions of about the math application. This course has been developed not just to help you for future math course, but more importantly for all your future college courses.

Math 116X is intended for students who need more support than a traditional Math 116 course offers. This course is designed to strengthen the algebra skills of students seeking Business or Natural Science degrees who are required to take an applied calculus course. Topics in the course include the theory of functions; graphing functions; exponential and logarithmic functions; solving equations involving algebraic, exponential and logarithmic functions; solving systems of linear equations; matrix algebra; linear programming; modeling; and applications problems.

Math 96 is intended for students preparing to take a transfer level math course. The course covers systems of equations and inequalities, radical and quadratic equations, quadratic functions and their graphs, complex numbers, nonlinear inequalities, exponential and logarithmic functions, conic sections, sequences and series, and solid geometry. The course also includes application problems involving these topics.

The following problems illustrate concepts that a student entering Math 96 should already be familiar with. Read through each of the problems and then decide if this level seems appropriate for you. Note: All problems are intended to be done without any resources, except for pencil and paper.

Math 96X is intended for students who need more support than is offered by a traditional Math 96 course. The same material is covered but no prior knowledge is assumed.

The course covers systems of equations and inequalities, radical and quadratic equations, quadratic functions and their graphs, complex numbers, nonlinear inequalities, exponential and logarithmic functions, conic sections, sequences and series, and solid geometry. The course also includes application problems involving these topics.
Click the statement below that best represents your readiness for this class. Yes No I'm not sure

Math 116X is intended for students who need more support than a traditional Math 116 course offers. This course is designed to strengthen the algebra skills of students seeking Business or Natural Science degrees who are required to take an applied calculus course. Topics in the course include the theory of functions; graphing functions; exponential and logarithmic functions; solving equations involving algebraic, exponential and logarithmic functions; solving systems of linear equations; matrix algebra; linear programming; modeling; and applications problems.

Math 57A is the first of a two-course sequence in the study of statistical methods integrated with algebraic tools to prepare students to analyze processes encountered in society and the workplace. The course covers an introduction to algebra and descriptive statistics in an integrated approach. Topics include data collection, organizing and interpreting data graphically, qualitative and quantitative data sets, measures of central tendency and measures of dispersion, bivariate data and scatter plots, linear functions and their graphs, nonlinear functions and their graphs, and applying technology to calculate various types of regressions. Students are expected to implement technology to perform calculations to organize data in order to make statistical conclusions. This sequence of courses is intended for students that are not planning on majoring in a science, technology, engineering, or mathematics related disciplines.

This course covers descriptive and inferential statistics. The descriptive portion analyzes data through graphs, measures of central tendency and dispersion. The inferential statistics portion covers statistical rules to compute basic probability, including binomial, normal, Chi-squares, and T-distributions. This course also covers estimation of population parameters, hypothesis testing, linear regression, correlation and ANOVA. Emphasis is placed on applications of technology, using software packages, for statistical analysis and interpretation of statistical values based on data from disciplines including business, social sciences, psychology, life science, health science and education. This course is intended for transfer students interested in statistical analysis.

The following problems illustrate concepts that a student entering Math 119 should already be familiar with. Read through each of the problems and then decide if this level seems appropriate for you. Note: All problems are intended to be done without any resources, except for pencil and paper.

Math 119X is intended for students who need more support than is offered by a traditional Math 119 course. The same material is covered but no prior knowledge is assumed.

This course covers descriptive and inferential statistics. The descriptive portion analyzes data through graphs, measures of central tendency and dispersion. The inferential statistics portion covers statistical rules to compute basic probability, including binomial, normal, Chi-squares, and T-distributions. This course also covers estimation of population parameters, hypothesis testing, linear regression, correlation and ANOVA. Emphasis is placed on applications of technology, using software packages, for statistical analysis and interpretation of statistical values based on data from disciplines including business, social sciences, psychology, life science, health science and education. This course is intended for transfer students interested in statistical analysis.

Math 57A is the first of a two-course sequence in the study of statistical methods integrated with algebraic tools to prepare students to analyze processes encountered in society and the workplace. The course covers an introduction to algebra and descriptive statistics in an integrated approach. Topics include data collection, organizing and interpreting data graphically, qualitative and quantitative data sets, measures of central tendency and measures of dispersion, bivariate data and scatter plots, linear functions and their graphs, nonlinear functions and their graphs, and applying technology to calculate various types of regressions. Students are expected to implement technology to perform calculations to organize data in order to make statistical conclusions. This sequence of courses is intended for students that are not planning on majoring in a science, technology, engineering, or mathematics related disciplines.

Math 59 is a first course in a two-course integrated sequence promoting analytical and critical thinking skills to prepare students for transfer-level mathematics courses. Students are challenged to analyze and dissect problems in various mathematical fields through contextualize applications of the topics, with the purpose of focusing on developing students' analytical and logical reasoning skills. Topics include numeracy; operations with numbers; functions; solving linear equations; graphically organizing data; constructing single and bi-variate graphs; reading, analyzing and interpreting graphs; applying mathematics in business accounting and personal finance; and practical geometry. This course is intended for students planning to major in any of the following fields of study: Fine Arts, Visual and Performing Arts, Humanities, Behavioral Sciences, Social Sciences, Business and related Managerial Sciences, Economics, or Life Sciences. This course is not intended for students planning to major in Science, Technology, Engineering, and Mathematics (STEM) fields of study.

If you want to learn a completely different aspect of mathematics, this course will definitely provide an opportunity to learn about topics and processes that are not part of any other math course you have seen; but more importantly this is the case not solely because of the content, but because of the way in which the content will be covered.

As a student of this course, you want to come in with a working basis of basic prealgebra conceptual and computational skills, including working knowledge in performing operations with fractions, decimals and percents, evaluating formulas at specific variable values, factoring composite numbers into their prime factor decomposition, using exponents to make expressions easier to express, knowledge of perfect squares, and interpreting a written statement into its equivalent mathematical expression.

What is just as important for you to have when entering this course, is a strong foundation on reading, writing and communication skills. Throughout the course, there will be important analytic reading and writing assignments for which oral presentations will be a meaningful component of the course.

You will explore mathematical topics in depth. The majority of all these topics are based on actual real-life data and phenomena. This course focuses on conceptual understanding where analytical reasoning and critical thinking skills will lead you to analyze and make conclusions of about the math application. This course has been developed not just to help you for future math course, but more importantly for all your future college courses.

This course is designed to strengthen the algebra skills of students seeking Business or Natural Science degrees who are required to take an applied calculus course. Topics in the course include the theory of functions; graphing functions; exponential and logarithmic functions; solving equations involving algebraic, exponential and logarithmic functions; solving systems of linear equations; matrix algebra; linear programming; modeling; and applications problems.

The following problems illustrate concepts that a student entering Math 116 should already be familiar with. Read through each of the problems and then decide if this level seems appropriate for you. Note: All problems are intended to be done without any resources, except for pencil and paper.

Math 116X is intended for students who need more support than a traditional Math 116 course offers. This course is designed to strengthen the algebra skills of students seeking Business or Natural Science degrees who are required to take an applied calculus course. Topics in the course include the theory of functions; graphing functions; exponential and logarithmic functions; solving equations involving algebraic, exponential and logarithmic functions; solving systems of linear equations; matrix algebra; linear programming; modeling; and applications problems.

This course covers descriptive and inferential statistics. The descriptive portion analyzes data through graphs, measures of central tendency and dispersion. The inferential statistics portion covers statistical rules to compute basic probability, including binomial, normal, Chi-squares, and T-distributions. This course also covers estimation of population parameters, hypothesis testing, linear regression, correlation and ANOVA. Emphasis is placed on applications of technology, using software packages, for statistical analysis and interpretation of statistical values based on data from disciplines including business, social sciences, psychology, life science, health science and education. This course is intended for transfer students interested in statistical analysis.

The following problems illustrate concepts that a student entering Math 119 should already be familiar with. Read through each of the problems and then decide if this level seems appropriate for you. Note: All problems are intended to be done without any resources, except for pencil and paper.

Math 119X is intended for students who need more support than is offered by a traditional Math 119 course. The same material is covered but no prior knowledge is assumed.

This course covers descriptive and inferential statistics. The descriptive portion analyzes data through graphs, measures of central tendency and dispersion. The inferential statistics portion covers statistical rules to compute basic probability, including binomial, normal, Chi-squares, and T-distributions. This course also covers estimation of population parameters, hypothesis testing, linear regression, correlation and ANOVA. Emphasis is placed on applications of technology, using software packages, for statistical analysis and interpretation of statistical values based on data from disciplines including business, social sciences, psychology, life science, health science and education. This course is intended for transfer students interested in statistical analysis.

Math 57A is the first of a two-course sequence in the study of statistical methods integrated with algebraic tools to prepare students to analyze processes encountered in society and the workplace. The course covers an introduction to algebra and descriptive statistics in an integrated approach. Topics include data collection, organizing and interpreting data graphically, qualitative and quantitative data sets, measures of central tendency and measures of dispersion, bivariate data and scatter plots, linear functions and their graphs, nonlinear functions and their graphs, and applying technology to calculate various types of regressions. Students are expected to implement technology to perform calculations to organize data in order to make statistical conclusions. This sequence of courses is intended for students that are not planning on majoring in a science, technology, engineering, or mathematics related disciplines.

Math 59 is a first course in a two-course integrated sequence promoting analytical and critical thinking skills to prepare students for transfer-level mathematics courses. Students are challenged to analyze and dissect problems in various mathematical fields through contextualize applications of the topics, with the purpose of focusing on developing students' analytical and logical reasoning skills. Topics include numeracy; operations with numbers; functions; solving linear equations; graphically organizing data; constructing single and bi-variate graphs; reading, analyzing and interpreting graphs; applying mathematics in business accounting and personal finance; and practical geometry. This course is intended for students planning to major in any of the following fields of study: Fine Arts, Visual and Performing Arts, Humanities, Behavioral Sciences, Social Sciences, Business and related Managerial Sciences, Economics, or Life Sciences. This course is not intended for students planning to major in Science, Technology, Engineering, and Mathematics (STEM) fields of study.

If you want to learn a completely different aspect of mathematics, this course will definitely provide an opportunity to learn about topics and processes that are not part of any other math course you have seen; but more importantly this is the case not solely because of the content, but because of the way in which the content will be covered.

As a student of this course, you want to come in with a working basis of basic prealgebra conceptual and computational skills, including working knowledge in performing operations with fractions, decimals and percents, evaluating formulas at specific variable values, factoring composite numbers into their prime factor decomposition, using exponents to make expressions easier to express, knowledge of perfect squares, and interpreting a written statement into its equivalent mathematical expression.

What is just as important for you to have when entering this course, is a strong foundation on reading, writing and communication skills. Throughout the course, there will be important analytic reading and writing assignments for which oral presentations will be a meaningful component of the course.

You will explore mathematical topics in depth. The majority of all these topics are based on actual real-life data and phenomena. This course focuses on conceptual understanding where analytical reasoning and critical thinking skills will lead you to analyze and make conclusions of about the math application. This course has been developed not just to help you for future math course, but more importantly for all your future college courses.

This course is designed to strengthen the algebra skills of students seeking Business or Natural Science degrees who are required to take an applied calculus course. Topics in the course include the theory of functions; graphing functions; exponential and logarithmic functions; solving equations involving algebraic, exponential and logarithmic functions; solving systems of linear equations; matrix algebra; linear programming; modeling; and applications problems.

The following problems illustrate concepts that a student entering Math 116 should already be familiar with. Read through each of the problems and then decide if this level seems appropriate for you. Note: All problems are intended to be done without any resources, except for pencil and paper.

Math 116X is intended for students who need more support than a traditional Math 116 course offers. This course is designed to strengthen the algebra skills of students seeking Business or Natural Science degrees who are required to take an applied calculus course. Topics in the course include the theory of functions; graphing functions; exponential and logarithmic functions; solving equations involving algebraic, exponential and logarithmic functions; solving systems of linear equations; matrix algebra; linear programming; modeling; and applications problems.

This course covers descriptive and inferential statistics. The descriptive portion analyzes data through graphs, measures of central tendency and dispersion. The inferential statistics portion covers statistical rules to compute basic probability, including binomial, normal, Chi-squares, and T-distributions. This course also covers estimation of population parameters, hypothesis testing, linear regression, correlation and ANOVA. Emphasis is placed on applications of technology, using software packages, for statistical analysis and interpretation of statistical values based on data from disciplines including business, social sciences, psychology, life science, health science and education. This course is intended for transfer students interested in statistical analysis.

The following problems illustrate concepts that a student entering Math 119 should already be familiar with. Read through each of the problems and then decide if this level seems appropriate for you. Note: All problems are intended to be done without any resources, except for pencil and paper.

Math 119X is intended for students who need more support than is offered by a traditional Math 119 course. The same material is covered but no prior knowledge is assumed.

This course covers descriptive and inferential statistics. The descriptive portion analyzes data through graphs, measures of central tendency and dispersion. The inferential statistics portion covers statistical rules to compute basic probability, including binomial, normal, Chi-squares, and T-distributions. This course also covers estimation of population parameters, hypothesis testing, linear regression, correlation and ANOVA. Emphasis is placed on applications of technology, using software packages, for statistical analysis and interpretation of statistical values based on data from disciplines including business, social sciences, psychology, life science, health science and education. This course is intended for transfer students interested in statistical analysis.

Math 59 is a first course in a two-course integrated sequence promoting analytical and critical thinking skills to prepare students for transfer-level mathematics courses. Students are challenged to analyze and dissect problems in various mathematical fields through contextualize applications of the topics, with the purpose of focusing on developing students' analytical and logical reasoning skills. Topics include numeracy; operations with numbers; functions; solving linear equations; graphically organizing data; constructing single and bi-variate graphs; reading, analyzing and interpreting graphs; applying mathematics in business accounting and personal finance; and practical geometry. This course is intended for students planning to major in any of the following fields of study: Fine Arts, Visual and Performing Arts, Humanities, Behavioral Sciences, Social Sciences, Business and related Managerial Sciences, Economics, or Life Sciences. This course is not intended for students planning to major in Science, Technology, Engineering, and Mathematics (STEM) fields of study.

If you want to learn a completely different aspect of mathematics, this course will definitely provide an opportunity to learn about topics and processes that are not part of any other math course you have seen; but more importantly this is the case not solely because of the content, but because of the way in which the content will be covered.

As a student of this course, you want to come in with a working basis of basic prealgebra conceptual and computational skills, including working knowledge in performing operations with fractions, decimals and percents, evaluating formulas at specific variable values, factoring composite numbers into their prime factor decomposition, using exponents to make expressions easier to express, knowledge of perfect squares, and interpreting a written statement into its equivalent mathematical expression.

What is just as important for you to have when entering this course, is a strong foundation on reading, writing and communication skills. Throughout the course, there will be important analytic reading and writing assignments for which oral presentations will be a meaningful component of the course.

You will explore mathematical topics in depth. The majority of all these topics are based on actual real-life data and phenomena. This course focuses on conceptual understanding where analytical reasoning and critical thinking skills will lead you to analyze and make conclusions of about the math application. This course has been developed not just to help you for future math course, but more importantly for all your future college courses.

This course is designed to strengthen the algebra skills of students seeking Business or Natural Science degrees who are required to take an applied calculus course. Topics in the course include the theory of functions; graphing functions; exponential and logarithmic functions; solving equations involving algebraic, exponential and logarithmic functions; solving systems of linear equations; matrix algebra; linear programming; modeling; and applications problems.

The following problems illustrate concepts that a student entering Math 116 should already be familiar with. Read through each of the problems and then decide if this level seems appropriate for you. Note: All problems are intended to be done without any resources, except for pencil and paper.

Math 116X is intended for students who need more support than a traditional Math 116 course offers. This course is designed to strengthen the algebra skills of students seeking Business or Natural Science degrees who are required to take an applied calculus course. Topics in the course include the theory of functions; graphing functions; exponential and logarithmic functions; solving equations involving algebraic, exponential and logarithmic functions; solving systems of linear equations; matrix algebra; linear programming; modeling; and applications problems.

Math 96 is intended for students preparing to take a transfer level math course. The course covers systems of equations and inequalities, radical and quadratic equations, quadratic functions and their graphs, complex numbers, nonlinear inequalities, exponential and logarithmic functions, conic sections, sequences and series, and solid geometry. The course also includes application problems involving these topics.

The following problems illustrate concepts that a student entering Math 96 should already be familiar with. Read through each of the problems and then decide if this level seems appropriate for you. Note: All problems are intended to be done without any resources, except for pencil and paper.

Math 96X is intended for students who need more support than is offered by a traditional Math 96 course. The same material is covered but no prior knowledge is assumed.

The course covers systems of equations and inequalities, radical and quadratic equations, quadratic functions and their graphs, complex numbers, nonlinear inequalities, exponential and logarithmic functions, conic sections, sequences and series, and solid geometry. The course also includes application problems involving these topics.
Click the statement below that best represents your readiness for this class. Yes No I'm not sure

This course is a study of the numerical, analytical, and geometric properties of right and oblique triangles, of trigonometric and inverse trigonometric functions, and their applications. The course content includes right angle trigonometry, radian measure, circular functions, graphs of circular functions and their inverses, trigonometric identities, equations involving trigonometric and inverse trigonometric functions, an introduction of the complex plane, vectors and their operations, and the trigonometric form of complex numbers. This course is designed as a preparation for calculus and it is intended for the transfer student planning to major in mathematics, engineering, economics, or disciplines included in the physical or life sciences.

The following problems illustrate concepts that a student entering Math 104 should already be familiar with. Read through each of the problems and then decide if this level seems appropriate for you. Note: All problems are intended to be done without any resources, except for pencil and paper.

This course is designed to strengthen the algebra skills of students seeking Business or Natural Science degrees who are required to take an applied calculus course. Topics in the course include the theory of functions; graphing functions; exponential and logarithmic functions; solving equations involving algebraic, exponential and logarithmic functions; solving systems of linear equations; matrix algebra; linear programming; modeling; and applications problems.

The following problems illustrate concepts that a student entering Math 116 should already be familiar with. Read through each of the problems and then decide if this level seems appropriate for you. Note: All problems are intended to be done without any resources, except for pencil and paper.

Math 116X is intended for students who need more support than a traditional Math 116 course offers. This course is designed to strengthen the algebra skills of students seeking Business or Natural Science degrees who are required to take an applied calculus course. Topics in the course include the theory of functions; graphing functions; exponential and logarithmic functions; solving equations involving algebraic, exponential and logarithmic functions; solving systems of linear equations; matrix algebra; linear programming; modeling; and applications problems.

Math 57A is the first of a two-course sequence in the study of statistical methods integrated with algebraic tools to prepare students to analyze processes encountered in society and the workplace. The course covers an introduction to algebra and descriptive statistics in an integrated approach. Topics include data collection, organizing and interpreting data graphically, qualitative and quantitative data sets, measures of central tendency and measures of dispersion, bivariate data and scatter plots, linear functions and their graphs, nonlinear functions and their graphs, and applying technology to calculate various types of regressions. Students are expected to implement technology to perform calculations to organize data in order to make statistical conclusions. This sequence of courses is intended for students that are not planning on majoring in a science, technology, engineering, or mathematics related disciplines.

Math 59 is a first course in a two-course integrated sequence promoting analytical and critical thinking skills to prepare students for transfer-level mathematics courses. Students are challenged to analyze and dissect problems in various mathematical fields through contextualize applications of the topics, with the purpose of focusing on developing students' analytical and logical reasoning skills. Topics include numeracy; operations with numbers; functions; solving linear equations; graphically organizing data; constructing single and bi-variate graphs; reading, analyzing and interpreting graphs; applying mathematics in business accounting and personal finance; and practical geometry. This course is intended for students planning to major in any of the following fields of study: Fine Arts, Visual and Performing Arts, Humanities, Behavioral Sciences, Social Sciences, Business and related Managerial Sciences, Economics, or Life Sciences. This course is not intended for students planning to major in Science, Technology, Engineering, and Mathematics (STEM) fields of study.

If you want to learn a completely different aspect of mathematics, this course will definitely provide an opportunity to learn about topics and processes that are not part of any other math course you have seen; but more importantly this is the case not solely because of the content, but because of the way in which the content will be covered.

As a student of this course, you want to come in with a working basis of basic prealgebra conceptual and computational skills, including working knowledge in performing operations with fractions, decimals and percents, evaluating formulas at specific variable values, factoring composite numbers into their prime factor decomposition, using exponents to make expressions easier to express, knowledge of perfect squares, and interpreting a written statement into its equivalent mathematical expression.

What is just as important for you to have when entering this course, is a strong foundation on reading, writing and communication skills. Throughout the course, there will be important analytic reading and writing assignments for which oral presentations will be a meaningful component of the course.

You will explore mathematical topics in depth. The majority of all these topics are based on actual real-life data and phenomena. This course focuses on conceptual understanding where analytical reasoning and critical thinking skills will lead you to analyze and make conclusions of about the math application. This course has been developed not just to help you for future math course, but more importantly for all your future college courses.

This course covers descriptive and inferential statistics. The descriptive portion analyzes data through graphs, measures of central tendency and dispersion. The inferential statistics portion covers statistical rules to compute basic probability, including binomial, normal, Chi-squares, and T-distributions. This course also covers estimation of population parameters, hypothesis testing, linear regression, correlation and ANOVA. Emphasis is placed on applications of technology, using software packages, for statistical analysis and interpretation of statistical values based on data from disciplines including business, social sciences, psychology, life science, health science and education. This course is intended for transfer students interested in statistical analysis.

The following problems illustrate concepts that a student entering Math 119 should already be familiar with. Read through each of the problems and then decide if this level seems appropriate for you. Note: All problems are intended to be done without any resources, except for pencil and paper.

Math 119X is intended for students who need more support than is offered by a traditional Math 119 course. The same material is covered but no prior knowledge is assumed.

This course covers descriptive and inferential statistics. The descriptive portion analyzes data through graphs, measures of central tendency and dispersion. The inferential statistics portion covers statistical rules to compute basic probability, including binomial, normal, Chi-squares, and T-distributions. This course also covers estimation of population parameters, hypothesis testing, linear regression, correlation and ANOVA. Emphasis is placed on applications of technology, using software packages, for statistical analysis and interpretation of statistical values based on data from disciplines including business, social sciences, psychology, life science, health science and education. This course is intended for transfer students interested in statistical analysis.

Math 57A is the first of a two-course sequence in the study of statistical methods integrated with algebraic tools to prepare students to analyze processes encountered in society and the workplace. The course covers an introduction to algebra and descriptive statistics in an integrated approach. Topics include data collection, organizing and interpreting data graphically, qualitative and quantitative data sets, measures of central tendency and measures of dispersion, bivariate data and scatter plots, linear functions and their graphs, nonlinear functions and their graphs, and applying technology to calculate various types of regressions. Students are expected to implement technology to perform calculations to organize data in order to make statistical conclusions. This sequence of courses is intended for students that are not planning on majoring in a science, technology, engineering, or mathematics related disciplines.

Math 59 is a first course in a two-course integrated sequence promoting analytical and critical thinking skills to prepare students for transfer-level mathematics courses. Students are challenged to analyze and dissect problems in various mathematical fields through contextualize applications of the topics, with the purpose of focusing on developing students' analytical and logical reasoning skills. Topics include numeracy; operations with numbers; functions; solving linear equations; graphically organizing data; constructing single and bi-variate graphs; reading, analyzing and interpreting graphs; applying mathematics in business accounting and personal finance; and practical geometry. This course is intended for students planning to major in any of the following fields of study: Fine Arts, Visual and Performing Arts, Humanities, Behavioral Sciences, Social Sciences, Business and related Managerial Sciences, Economics, or Life Sciences. This course is not intended for students planning to major in Science, Technology, Engineering, and Mathematics (STEM) fields of study.

If you want to learn a completely different aspect of mathematics, this course will definitely provide an opportunity to learn about topics and processes that are not part of any other math course you have seen; but more importantly this is the case not solely because of the content, but because of the way in which the content will be covered.

As a student of this course, you want to come in with a working basis of basic prealgebra conceptual and computational skills, including working knowledge in performing operations with fractions, decimals and percents, evaluating formulas at specific variable values, factoring composite numbers into their prime factor decomposition, using exponents to make expressions easier to express, knowledge of perfect squares, and interpreting a written statement into its equivalent mathematical expression.

What is just as important for you to have when entering this course, is a strong foundation on reading, writing and communication skills. Throughout the course, there will be important analytic reading and writing assignments for which oral presentations will be a meaningful component of the course.

You will explore mathematical topics in depth. The majority of all these topics are based on actual real-life data and phenomena. This course focuses on conceptual understanding where analytical reasoning and critical thinking skills will lead you to analyze and make conclusions of about the math application. This course has been developed not just to help you for future math course, but more importantly for all your future college courses.

This course is designed to strengthen the algebra skills of students seeking Business or Natural Science degrees who are required to take an applied calculus course. Topics in the course include the theory of functions; graphing functions; exponential and logarithmic functions; solving equations involving algebraic, exponential and logarithmic functions; solving systems of linear equations; matrix algebra; linear programming; modeling; and applications problems.

The following problems illustrate concepts that a student entering Math 116 should already be familiar with. Read through each of the problems and then decide if this level seems appropriate for you. Note: All problems are intended to be done without any resources, except for pencil and paper.

Math 116X is intended for students who need more support than a traditional Math 116 course offers. This course is designed to strengthen the algebra skills of students seeking Business or Natural Science degrees who are required to take an applied calculus course. Topics in the course include the theory of functions; graphing functions; exponential and logarithmic functions; solving equations involving algebraic, exponential and logarithmic functions; solving systems of linear equations; matrix algebra; linear programming; modeling; and applications problems.

This course covers descriptive and inferential statistics. The descriptive portion analyzes data through graphs, measures of central tendency and dispersion. The inferential statistics portion covers statistical rules to compute basic probability, including binomial, normal, Chi-squares, and T-distributions. This course also covers estimation of population parameters, hypothesis testing, linear regression, correlation and ANOVA. Emphasis is placed on applications of technology, using software packages, for statistical analysis and interpretation of statistical values based on data from disciplines including business, social sciences, psychology, life science, health science and education. This course is intended for transfer students interested in statistical analysis.

The following problems illustrate concepts that a student entering Math 119 should already be familiar with. Read through each of the problems and then decide if this level seems appropriate for you. Note: All problems are intended to be done without any resources, except for pencil and paper.

Math 119X is intended for students who need more support than is offered by a traditional Math 119 course. The same material is covered but no prior knowledge is assumed.

This course covers descriptive and inferential statistics. The descriptive portion analyzes data through graphs, measures of central tendency and dispersion. The inferential statistics portion covers statistical rules to compute basic probability, including binomial, normal, Chi-squares, and T-distributions. This course also covers estimation of population parameters, hypothesis testing, linear regression, correlation and ANOVA. Emphasis is placed on applications of technology, using software packages, for statistical analysis and interpretation of statistical values based on data from disciplines including business, social sciences, psychology, life science, health science and education. This course is intended for transfer students interested in statistical analysis.

Math 57A is the first of a two-course sequence in the study of statistical methods integrated with algebraic tools to prepare students to analyze processes encountered in society and the workplace. The course covers an introduction to algebra and descriptive statistics in an integrated approach. Topics include data collection, organizing and interpreting data graphically, qualitative and quantitative data sets, measures of central tendency and measures of dispersion, bivariate data and scatter plots, linear functions and their graphs, nonlinear functions and their graphs, and applying technology to calculate various types of regressions. Students are expected to implement technology to perform calculations to organize data in order to make statistical conclusions. This sequence of courses is intended for students that are not planning on majoring in a science, technology, engineering, or mathematics related disciplines.

Math 59 is a first course in a two-course integrated sequence promoting analytical and critical thinking skills to prepare students for transfer-level mathematics courses. Students are challenged to analyze and dissect problems in various mathematical fields through contextualize applications of the topics, with the purpose of focusing on developing students' analytical and logical reasoning skills. Topics include numeracy; operations with numbers; functions; solving linear equations; graphically organizing data; constructing single and bi-variate graphs; reading, analyzing and interpreting graphs; applying mathematics in business accounting and personal finance; and practical geometry. This course is intended for students planning to major in any of the following fields of study: Fine Arts, Visual and Performing Arts, Humanities, Behavioral Sciences, Social Sciences, Business and related Managerial Sciences, Economics, or Life Sciences. This course is not intended for students planning to major in Science, Technology, Engineering, and Mathematics (STEM) fields of study.

If you want to learn a completely different aspect of mathematics, this course will definitely provide an opportunity to learn about topics and processes that are not part of any other math course you have seen; but more importantly this is the case not solely because of the content, but because of the way in which the content will be covered.

As a student of this course, you want to come in with a working basis of basic prealgebra conceptual and computational skills, including working knowledge in performing operations with fractions, decimals and percents, evaluating formulas at specific variable values, factoring composite numbers into their prime factor decomposition, using exponents to make expressions easier to express, knowledge of perfect squares, and interpreting a written statement into its equivalent mathematical expression.

What is just as important for you to have when entering this course, is a strong foundation on reading, writing and communication skills. Throughout the course, there will be important analytic reading and writing assignments for which oral presentations will be a meaningful component of the course.

You will explore mathematical topics in depth. The majority of all these topics are based on actual real-life data and phenomena. This course focuses on conceptual understanding where analytical reasoning and critical thinking skills will lead you to analyze and make conclusions of about the math application. This course has been developed not just to help you for future math course, but more importantly for all your future college courses.

This course is designed to strengthen the algebra skills of students seeking Business or Natural Science degrees who are required to take an applied calculus course. Topics in the course include the theory of functions; graphing functions; exponential and logarithmic functions; solving equations involving algebraic, exponential and logarithmic functions; solving systems of linear equations; matrix algebra; linear programming; modeling; and applications problems.

The following problems illustrate concepts that a student entering Math 116 should already be familiar with. Read through each of the problems and then decide if this level seems appropriate for you. Note: All problems are intended to be done without any resources, except for pencil and paper.

Math 116X is intended for students who need more support than a traditional Math 116 course offers. This course is designed to strengthen the algebra skills of students seeking Business or Natural Science degrees who are required to take an applied calculus course. Topics in the course include the theory of functions; graphing functions; exponential and logarithmic functions; solving equations involving algebraic, exponential and logarithmic functions; solving systems of linear equations; matrix algebra; linear programming; modeling; and applications problems.

This course covers descriptive and inferential statistics. The descriptive portion analyzes data through graphs, measures of central tendency and dispersion. The inferential statistics portion covers statistical rules to compute basic probability, including binomial, normal, Chi-squares, and T-distributions. This course also covers estimation of population parameters, hypothesis testing, linear regression, correlation and ANOVA. Emphasis is placed on applications of technology, using software packages, for statistical analysis and interpretation of statistical values based on data from disciplines including business, social sciences, psychology, life science, health science and education. This course is intended for transfer students interested in statistical analysis.

The following problems illustrate concepts that a student entering Math 119 should already be familiar with. Read through each of the problems and then decide if this level seems appropriate for you. Note: All problems are intended to be done without any resources, except for pencil and paper.

Math 119X is intended for students who need more support than is offered by a traditional Math 119 course. The same material is covered but no prior knowledge is assumed.

This course covers descriptive and inferential statistics. The descriptive portion analyzes data through graphs, measures of central tendency and dispersion. The inferential statistics portion covers statistical rules to compute basic probability, including binomial, normal, Chi-squares, and T-distributions. This course also covers estimation of population parameters, hypothesis testing, linear regression, correlation and ANOVA. Emphasis is placed on applications of technology, using software packages, for statistical analysis and interpretation of statistical values based on data from disciplines including business, social sciences, psychology, life science, health science and education. This course is intended for transfer students interested in statistical analysis.

Math 59 is a first course in a two-course integrated sequence promoting analytical and critical thinking skills to prepare students for transfer-level mathematics courses. Students are challenged to analyze and dissect problems in various mathematical fields through contextualize applications of the topics, with the purpose of focusing on developing students' analytical and logical reasoning skills. Topics include numeracy; operations with numbers; functions; solving linear equations; graphically organizing data; constructing single and bi-variate graphs; reading, analyzing and interpreting graphs; applying mathematics in business accounting and personal finance; and practical geometry. This course is intended for students planning to major in any of the following fields of study: Fine Arts, Visual and Performing Arts, Humanities, Behavioral Sciences, Social Sciences, Business and related Managerial Sciences, Economics, or Life Sciences. This course is not intended for students planning to major in Science, Technology, Engineering, and Mathematics (STEM) fields of study.

If you want to learn a completely different aspect of mathematics, this course will definitely provide an opportunity to learn about topics and processes that are not part of any other math course you have seen; but more importantly this is the case not solely because of the content, but because of the way in which the content will be covered.

As a student of this course, you want to come in with a working basis of basic prealgebra conceptual and computational skills, including working knowledge in performing operations with fractions, decimals and percents, evaluating formulas at specific variable values, factoring composite numbers into their prime factor decomposition, using exponents to make expressions easier to express, knowledge of perfect squares, and interpreting a written statement into its equivalent mathematical expression.

What is just as important for you to have when entering this course, is a strong foundation on reading, writing and communication skills. Throughout the course, there will be important analytic reading and writing assignments for which oral presentations will be a meaningful component of the course.

You will explore mathematical topics in depth. The majority of all these topics are based on actual real-life data and phenomena. This course focuses on conceptual understanding where analytical reasoning and critical thinking skills will lead you to analyze and make conclusions of about the math application. This course has been developed not just to help you for future math course, but more importantly for all your future college courses.

This course is designed to strengthen the algebra skills of students seeking Business or Natural Science degrees who are required to take an applied calculus course. Topics in the course include the theory of functions; graphing functions; exponential and logarithmic functions; solving equations involving algebraic, exponential and logarithmic functions; solving systems of linear equations; matrix algebra; linear programming; modeling; and applications problems.

The following problems illustrate concepts that a student entering Math 116 should already be familiar with. Read through each of the problems and then decide if this level seems appropriate for you. Note: All problems are intended to be done without any resources, except for pencil and paper.

Math 116X is intended for students who need more support than a traditional Math 116 course offers. This course is designed to strengthen the algebra skills of students seeking Business or Natural Science degrees who are required to take an applied calculus course. Topics in the course include the theory of functions; graphing functions; exponential and logarithmic functions; solving equations involving algebraic, exponential and logarithmic functions; solving systems of linear equations; matrix algebra; linear programming; modeling; and applications problems.

Math 96 is intended for students preparing to take a transfer level math course. The course covers systems of equations and inequalities, radical and quadratic equations, quadratic functions and their graphs, complex numbers, nonlinear inequalities, exponential and logarithmic functions, conic sections, sequences and series, and solid geometry. The course also includes application problems involving these topics.

The following problems illustrate concepts that a student entering Math 96 should already be familiar with. Read through each of the problems and then decide if this level seems appropriate for you. Note: All problems are intended to be done without any resources, except for pencil and paper.

Math 96X is intended for students who need more support than is offered by a traditional Math 96 course. The same material is covered but no prior knowledge is assumed.

The course covers systems of equations and inequalities, radical and quadratic equations, quadratic functions and their graphs, complex numbers, nonlinear inequalities, exponential and logarithmic functions, conic sections, sequences and series, and solid geometry. The course also includes application problems involving these topics.
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This course is a study of the numerical, analytical, and geometric properties of right and oblique triangles, of trigonometric and inverse trigonometric functions, and their applications. The course content includes right angle trigonometry, radian measure, circular functions, graphs of circular functions and their inverses, trigonometric identities, equations involving trigonometric and inverse trigonometric functions, an introduction of the complex plane, vectors and their operations, and the trigonometric form of complex numbers. This course is designed as a preparation for calculus and it is intended for the transfer student planning to major in mathematics, engineering, economics, or disciplines included in the physical or life sciences.

The following problems illustrate concepts that a student entering Math 104 should already be familiar with. Read through each of the problems and then decide if this level seems appropriate for you. Note: All problems are intended to be done without any resources, except for pencil and paper.

This course is designed to strengthen the algebra skills of students seeking Business or Natural Science degrees who are required to take an applied calculus course. Topics in the course include the theory of functions; graphing functions; exponential and logarithmic functions; solving equations involving algebraic, exponential and logarithmic functions; solving systems of linear equations; matrix algebra; linear programming; modeling; and applications problems.

The following problems illustrate concepts that a student entering Math 116 should already be familiar with. Read through each of the problems and then decide if this level seems appropriate for you. Note: All problems are intended to be done without any resources, except for pencil and paper.

Math 116X is intended for students who need more support than a traditional Math 116 course offers. This course is designed to strengthen the algebra skills of students seeking Business or Natural Science degrees who are required to take an applied calculus course. Topics in the course include the theory of functions; graphing functions; exponential and logarithmic functions; solving equations involving algebraic, exponential and logarithmic functions; solving systems of linear equations; matrix algebra; linear programming; modeling; and applications problems.