Learning Objectives

Learning Objectives

  • Understand one-variable and two-variable data and describe the differences among the types of functions.
  • Visualize and graphically represent one-variable and two-variable data.
  • Understand the concept of a function as a representation.
  • Use set builder notation and interval notation to describe the domain and range of a function.
  • Interpret the domain and the range of a representation as mathematical objects and in a context of an application.
  • Distinguish between linear and non-linear functions.
  • Evaluate the average rate of change of a function, using the notion of the difference quotient.
  • Fluently perform algebraic computations related to linear and quadratic expressions.
  • Solve linear equations and absolute value equations algebraically, numerically, and graphically.
  • Write linear functions and understand the relationship between parallel and perpendicular lines.
  • Solve linear inequalities (including compound inequalities) and absolute value inequalities algebracically, numerically, and graphically.
  • Solve quadratic equations using factoring, the square root property, completing the square, or through the quadratic formula.
  • Understand the effect of the discriminant on the nature of roots or solutions to a quadratic equation.
  • Understand the basic concepts of complex numbers and their arithmetic operations.
  • Solve quadratic inequalities graphically and numerically.
  • Perform transformations of graphs, which include horizontal and vertical shifts, stretching and shrinking, reflection of graphs, and a combination of multiple transformations.
  • Construct linear and quadratic models to fit data and use them to explain and to analyze real life scenarios.
  • Analyze the behavior of functions (might also include other types of functions), increasing and decreasing, while using the concepts of average rate of change and the difference quotient.
  • Use linear functions and linear piece-wise functions to model data of examples such as CO2 emissions, ice deposits, birth rate, temperature, sales, cost, and college tuition.
  • Understand the difference between interpolation and extrapolation.
  • Obtain Linear Regression models after generating scatter plots of data, with the use of technology (Calculator, Geogebra, Desmos, or other software).
  • Modeling with quadratic functions.
  • Analyzing the behavior of the model graphically or through the vertex and its significance.
  • Use quadratic regression to describe data that has a parabolic shape.

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College Algebra Copyright © by Alison Bonner is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, except where otherwise noted.

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