MindEdge’s College Math Program

MindEdge offers affordable online resources focused on basic college-level math. They include adaptive learning components, games, videos, interactive exercises, quizzes, and other engaging content that helps students develop a strong foundation in college math.

These modular courses can be tailored to your school with webtexts, ebooks, and optional trade paperbacks available. They seamlessly integrate into all learning management systems.

MindEdge's adaptive learning helps students by providing support for those common math "pain points" where students often encounter learning difficulties. A sophisticated software engine guides students through further layers of content instruction, which includes games, interactive video, and additional testing.

The Math Diagnostic learning resource is a customizable diagnostic test with associated remedial material. The testing provided by the diagnostic can either be used to determine a student’s level of preparedness or to place students into an appropriate math course. The diagnostic test has many topics for which a student can see their level of mastery. Each topic has associated remedial material. After identifying their needs, students will be guided to this targeted material.

This learning resource is highly customizable. Topics can be added or removed, based upon your needs. These topics include:

  • Arithmetic
  • Working with Non-Integers
  • Variables and Expressions
  • Exponents and Roots
  • Order of Operations
  • Algebra
  • Introductory Economics

This modular diagnostic course can be tailored to your school with webtexts, ebooks, and optional trade paperbacks available. It seamlessly integrates into all learning management systems.

The remedial topics include Review Tests, interactive exercises, videos, flashcards, and games that appeal to a variety of learning styles.

MindEdge's College Math learning resource is a developmental math course. It provides basic college level math and lays the foundation for further studies in higher mathematics. Students explore the fundamentals of numbers and number systems before moving on to topics in algebra. In this course, students examine probability, statistics, and logic through a mathematical lens.

This modular course can be tailored to your school with webtexts, ebooks, and optional trade paperbacks available. It seamlessly integrates into all learning management systems.

The course includes Module Pre-assessments and Assessments, interactive exercises, videos, flashcards, and games that appeal to a variety of learning styles. Case studies give students opportunities to use critical thinking skills and apply their knowledge to real-world ethical scenarios. End-of-module review games test students on the material through a virtual game show.

Topics covered in this course include:

  • Properties of numbers and number systems
  • Factors, divisibility, and prime factorization
  • Unit conversion
  • Algebraic conventions and notation
  • Using variables in a variety of settings
  • Simplifying algebraic terms and expressions
  • Factoring algebraic terms and expressions
  • Solving linear equations and inequalities
  • Representing and interpreting functions
  • Graphing functions
  • Combinations and permutations
  • Statistical probabilities of events
  • Analytical representation and interpretation of data
  • Measures of central tendency
  • Interest rates
  • Present value and future value
  • Properties of triangles, quadrilaterals, and circles
  • Parallel and perpendicular lines
  • Logical operations
  • Set relationships

The eight modules of this course are as follows:

  1. Numbers and Number Systems
  2. Algebra Basics
  3. Algebra and Functions
  4. Counting and Probability
  5. Data Analysis and Statistics
  6. Financial Mathematics
  7. Geometry
  8. Logic and Sets

MindEdge's College Algebra learning resource exposes students to topics in algebra. Students explore the mathematics while simultaneously applying this knowledge to real-world scenarios. Students solve various problems through the lens of a statistician: using a variety of tools to develop solutions.

This modular course can be tailored to your school with webtexts, ebooks, and optional trade paperbacks available. It seamlessly integrates into all learning management systems.

The course includes pretests and self-assessments, interactive exercises, graphics, and games that appeal to a variety of learning styles. Open ended questions that apply topics to real world problems give students opportunities to apply critical thinking skills to real-world mathematics scenarios.

Topics covered in this course include:

  • Polynomials
  • Factoring
  • Rational expressions
  • Linear equations
  • Complex numbers
  • Linear inequalities
  • Function notation
  • Transformation of functions
  • Modeling with linear functions
  • Power and polynomial functions
  • Graphs of polynomial functions
  • Exponential functions
  • Logarithmic functions
  • Systems of linear equations
  • Matrices and matrix operations
  • Solving systems with Gaussian elimination
  • The ellipse
  • The hyperbola
  • The parabola
  • Sequences
  • Series

The nine modules of this course are as follows:

  1. Prerequisites
  2. Equations and Inequalities
  3. Functions
  4. Linear Functions
  5. Polynomial and Rational Functions
  6. Exponential and Logarithmic Functions
  7. Systems of Equations and Inequalities
  8. Analytic Geometry
  9. Sequences, Probability, and Counting Theory

MindEdge's Introductory Statistics learning resource shows students topics in statistics. Students explore the fundamentals of statistics while simultaneously applying this knowledge to real-world scenarios involving graphs, charts, tables of data, and word problems. Students solve various problems through the lens of a statistician: using a variety of tools to develop solutions.

This modular course can be tailored to your school with webtexts, ebooks, and optional trade paperbacks available. It seamlessly integrates into all learning management systems.

The course includes pretests and self-assessments, interactive exercises, graphics, and games that appeal to a variety of learning styles. Open ended questions that apply topics to real world problems give students opportunities to apply critical thinking skills to real-world statistics scenarios.

Topics covered in this course include:

  • Data, sampling, and data collection
  • Experimental design
  • Frequency, frequency tables, and levels of measurement
  • Measures of central tendency
  • Graphical representation of descriptive statistics
  • Independent and mutually exclusive events
  • Representing probability visually
  • Variance and standard deviation
  • Probability distribution function for a discrete random variable
  • Continuous probability functions
  • Exponential distribution
  • The standard normal distribution
  • Applications of the normal distribution
  • The central limit theorem
  • Student t-distribution
  • Hypothesis tests on two population means
  • Test of a single variance
  • Linear equations
  • Regression
  • ANOVA
  • The F distribution

The 13 modules of this course are as follows:

  1. Sampling and Data
  2. Descriptive Statistics
  3. Probability Topics
  4. Discrete Random Variables
  5. Continuous Random Variables
  6. The Normal Distribution
  7. The Central Limit Theorem
  8. Confidence Intervals
  9. Hypothesis Testing with One Sample
  10. Hypothesis Testing with Two Samples
  11. The Chi-Square Distribution
  12. Linear Regressions and Correlation
  13. F Distribution and One-Way ANOVA