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National College Credit Recommendation Service

Board of Regents  |  University of the State of New York

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Mathematics - Coopersmith Career Consulting

Descriptions and credit recommendations for all evaluated learning experiences

Location:

Various; distance learning format.

Length:

Varies (self-study; self-paced). 

Dates:

April 2019 -  Present. 

Objectives:

Upon completion of this course, students will be able to: specify the domain of a function; determine finite limits and limits at infinity; apply the definition of the derivative and rules for differentiation; solve applications involving derivatives; evaluate definite integrals graphically and using rules of integration; solve applications involving integration; compute derivatives and integrals of logarithmic and exponential functions; and apply techniques of integration to evaluate integrals.

Instruction:

This course provides students a working knowledge of the concepts in calculus. Major topics include: differential and integral calculus; limits, derivatives, rules of differentiation, applications of the derivative, integration, applications of integration, logarithmic and exponential functions, and integration techniques. Instructional methods include: Study guide, required readings, and a final exam. 

Credit recommendation:

In the lower division baccalaureate/associate degree category OR in the upper division baccalaureate degree category, 3 semester hours in Accounting, Business, Computer Science, Data Sciences, Engineering, Economics, Finance, Marketing, or Mathematics (4/19).

Location:
Various; distance learning format.
Length:

Varies (self-study; self-paced).

Dates:
May 2013 - Present.
Objectives:
Upon successful completion of the course, students will be able to: use mathematical notations and expressions to represent variables and write algebraic expressions and equations; solve algebraic equations, including linear, quadratic, polynomials, roots, and rational functions; graph a mathematical function and apply basic transformations to the graph and corresponding equation; work with and manipulate exponential and logarithmic expressions; solve systems of linear and basic nonlinear equations and find solution sets of systems for inequalities; recognize equations that represent conic sections such as circles, ellipses, hyperbolas, and parabolas from mathematic equations and their graphic representations.
Instruction:

This self-study course is designed to provide students with the basic principles of algebra, including mathematical expressions such as polynomials, exponentials, and logarithms and their manipulations. Other topics include:  functions, graphs, inequalities, linear equations and quadratic equations and their solutions through algebra and graphing.

Credit recommendation:

In the lower division baccalaureate/associate degree category, 3 semester hours in Algebra or Mathematics (6/13) (8/18 revalidation).

Location:
Various; distance learning format.
Length:

Varies (self-study; self-paced). 

Dates:
November 2014 - Present.
Objectives:

Upon successful completion of the course, students will be able to: solve real life problems using geometry; identify geometric shapes and characteristics of angles, lines, and shapes; determine whether a geometric figure is congruent and/or similar to another given figure and explain the reasons for such conclusion; calculate the perimeter, area, and volume of a variety of geometric figures; apply the rules of geometry of a circle and properties of lines and angles that run through one or more points on the circle's circumference; plot points, lines, and geometric figures on a graph; and use coordinate geometry rules to identify properties of these points, lines, and figures.

Instruction:

This self-study course is designed to provide students with the basic principles of geometry necessary for further college-level mathematics through textbook reading assignments, optional homework assignments, study guide, and written and video lessons. Major topics include: properties of geometric shapes and measurements, calculating the dimensions, including one, two, and three-dimensional properties of geometric figures. Students discuss concepts such as similarity and congruency, geometric proofs establishing relationships between figures, characteristics of triangles, quadrilaterials, higher order polygons, circles, three dimensional figures and properties of the sides and angles appurtenant to these figures, and graphing and coordinate geometry.

Credit recommendation:

In the lower division baccalaureate/associate degree category, 3 semester hours in Geometry, Mathematics, or as a general elective (11/14).

Location:

Various; distance learning format.

Length:

Varies (self-study; self-paced). 

Dates:

June 2017 - Present. 

Objectives:

Upon successful completion of the exam, students will be able to: convert realistic situations into mathematical concepts so mathematical tools can be used to solve them; use Venn diagrams, graphs, charts and similar methods to represent, organize and analyze data; apply principles of logic to prove or disprove statements (both in text and in mathematical form) on the basis of other given statements; identify, manipulate and utilize mathematical expressions including rational, irrational and imaginary numbers, along with mathematical expressions such as absolute value, inequalities and radicals; use principles of algebra and geometry to identify variables and express algebraic expressions on graphs; determine the probability of a specified event or condition or series of events or conditions; and apply principles of statistics, such as averages, normal distributions and standard deviations to identify statistically significant data.

Instruction:

This exam is designed to develop students’ mathematical thinking and reasoning skills though problem-solving. The exam coveres many of the tools in the mathematical toolbox, including concepts in data sets, number systems, algebra, geometry, logic, graphing, probability and statistics. Other topics include: basics of arithmetic, algebra and geometry and related relevant concepts.  Prerequisites: College Algebra and College Geometry or demonstrable skills in those areas, such as superior scores on standardized tests in those areas.

Credit recommendation:

In the upper division baccalaureate degree category, 3 semester hours in Math, Business, Finance, or as a general elective (6/17).

Location:
Various; distance learning format.
Length:

Varies (self-study; self-paced).

Dates:
May 2013 - Present.
Objectives:
Upon successful completion of the course, students will be able to: classify collected data to ensure efficient statistical analysis; graph data on various types of charts and graphs to display distribution tendency, variation, etc; determine the probability of the occurrence of an event based on a variety of data types; apply conditional probability rules, including the addition rule; use probability distributions to model the number of successes in various sample sizes; calculate standard distributions and confidence intervals for sets of data; use statistical analyses to test hypotheses for small and large samples; and perform basic regression analyses.
Instruction:

This self-study course provides students with a working knowledge of the most important basic concepts of probability and statistics by teaching methods of how data is sorted, characterized, visualized, and interpreted. Other topics include: probability concepts such as events, sample spaces, conditional probability, and effects of multiple variables, statistical distribution, sample sizes, testing, regression analysis and complex statistical analysis.

Credit recommendation:

In the lower division baccalaureate/associate degree category, 4 semester hours in Statistics or Mathematics (6/13) (8/18 revalidation).

Location:

Various; distance learning format.

Length:

Varies (self-study; self-paced).

Dates:

April 2019 - Present. 

Objectives:

Upon completion of this course, students will be able to: solve systems of linear equations and perform operations on vectors; determine if a given set of vectors is linearly independent and perform linear transformations; determine if the inverse of a matrix exists, calculate the inverse of a matrix, and identify geometric changes of matrices; determine if a vector is in a vector space, identify properties of determinants, and apply Cramer’s rule to solve linear systems; determine whether a given set is a vector space or subspace, find a basis for a column space, and map a vector to its coordinate vector in a basis; find the dimension of a subspace, apply the rank theorem, and map a coordinate vector from one base to another; calculate eigenvalues, determine if a vector is an eigenvector, and diagonalize matrices; determine orthogonality projections and orthogonality of vectors; determine symmetry and orthogonality of matrices, find the matrix of a quadratic form; and find the singular values of a matrix.

Instruction:

This course provides students with a working knowledge of the concepts in linear algebra and the underlying theory and applications in linear algebra.Topics include: linear systems, matrix algebra, determinants, vector spaces, eigenvalues and eigenvectors, orthogonality, symmetric matrices, and quadratic forms. Instructional methods include: Study guide, required readings, and a final exam.

Credit recommendation:

In the lower division baccalaureate/associate degree category OR in the upper division baccalaureate degree category, 3 semester hours in Accounting, Business, Computer Science, Data Sciences, Engineering, Economics, Finance, Marketing, or Mathematics (4/19).

Location:

Various; distance learning format.

Length:

Varies (self-study; self-paced). 

Dates:

April 2019 - Present. 

Objectives:

Upon completion of this course, students will be able to: calculate and use measures of central tendency to draw conclusions about data and organize data graphically; calculate probabilities and apply Bayes’ Theorem; determine continuous and joint probabilities and calculate expected values; perform calculations related to binomial, negative binomial, and Poisson distributions; solve applications involving common continuous distributions; determine the sample size needed to fit a situation and determine probabilities using the sampling distribution of the mean; construct confidence intervals for proportions and variance and determine maximum likelihood estimators; describe type I and type II errors and perform hypothesis tests; fit data using simple linear regression and compute correlation coefficients; and interpret results involving multiple linear regression models.

Instruction:

This course provides students with a working knowledge of the concepts in probability and statistics and the underlying theory and applications. Topics include: probability, discrete distributions, continuous distributions, sampling distributions, point estimation, interval estimation, hypothesis testing, simple linear regression, multiple regression, and nonlinear regression. Instructional methods include Study guide, required readings, and a final exam.

Credit recommendation:

In the lower division baccalaureate/associate degree category OR in the upper division baccalaureate degree category, 3 semester hours in Accounting, Business, Computer Science, Data Sciences, Economics, Finance, or Mathematics (4/19).

Location:

Various; distance learning format.

Length:

Varies (self-study; self-paced). 

Dates:

April 2019 - Present. 

Objectives:

Upon completion of this course, students will be able to: describe the use of modeling in quantitative analysis; develop useful and accurate decision trees; formulate and interpret characteristics of linear regression models; compute the economic order quantity (EOQ) and reorder point (ROP) for inventory problems; solve and interpret linear programming models both graphically and algebraically; model and solve maximal-flow, shortest-route, and minimal-spanning tree problems; describe the basic queuing system configurations and all three parts of a queuing system; and analyze simulation models as applied to inventory control and queuing theory.

Instruction:

This course provides students with a working knowledge of the most important basic concepts of quantitative analysis in business and management by teaching various modeling techniques for problems related to business and management. Topics include: decision trees, linear and multivariate regression, inventory methods, linear programming techniques, transportation and network problems, queuing theory, and simulation. Instructional methods include: Study guide, required readings, and a final exam.

Credit recommendation:

In the lower division baccalaureate/associate degree category OR in the upper division baccalaureate degree category, 3 semester hours in Accounting, Business, Computer Science, Data Sciences, Economics, Finance, or Mathematics (4/19).

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