Enroll in Mathematics for College Readiness with Dolphin STEM Academy
Mathematics for College Readiness is a comprehensive review of mathematical
concepts designed to prepare you for the math you’ll experience in college. It includes
concepts from algebra, advanced algebra, geometry, and probability and statistics and
teaches them as interrelated disciplines. You’ve likely studied many of the topics that
are presented, but some topics might be new to you.
In Mathematics for College Readiness, Semester B, you will investigate different
functions and their graphs. You will simplify polynomial and rational expressions using a
variety of operations and properties of exponents, and you’ll solve quadratic equations
using factoring and the quadratic formula. Then you’ll learn to graph a variety of function
types. Next you’ll explore polynomial, rational, and radical relationships. You’ll then use
coordinates to connect algebra and geometry. Finally, you will apply your understanding
of linear relationships to represent and interpret two-way statistical data.
By the end of this course, you will be able to do the following:
• Write and combine functions to represent situations or word problems.
• Simplify expressions using the product rule, the quotient rule, and the power rule of
• Solve quadratic expressions by factoring and applying the quadratic formula.
• Identify the intercepts and vertex of a parabola.
• Alter the coefficients of a quadratic equation to transform its graph.
• Graph general piecewise functions and absolute value functions.
• Simplify polynomial and rational expressions.
• Solve rational, radical, and literal equations.
• Prove and use polynomial identities and the Binomial Theorem.
• Prove the slope criteria for parallel and perpendicular lines and apply it to solve
• Find the point on a directed line segment between two given points that partitions
the segment in a given ratio.
• Use coordinates to compute perimeters of polygons and areas of triangles and
• Interpret relative frequencies in the context of a given problem.
• Interpret the slope and the intercept of a linear model in the context of the data.
• Represent qualitative data using a scatter plot.
• Describe and fit a function to a data set.