EdX

Precalculus (edX)

Precalculus (edX)

This college-level, credit-eligible Precalculus course will teach you the skills required for success in future Calculus studies. In this college-level Precalculus course, you will prepare for calculus by focusing on quantitative reasoning and functions. You’ll develop the skills to describe the behavior and properties of linear, exponential, logarithmic, polynomial, rational, and trigonometric functions.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

Content in this course will be adaptive, allowing you to achieve mastery in a certain concept before moving on to the next. Utilizing the ALEKS learning system, students in this personalized, self-paced course will be instructed on the topics they are most ready to learn while also providing individualized coaching as you move through each topic.

Before taking this course, you should already have a strong understanding of algebraic skills such as factoring, basic equation solving, and the rules of exponents and radicals.

What you'll learn

  • How to describe the behavior and properties of linear, exponential, logarithmic, polynomial, rational, and trigonometric functions
  • How to apply your understanding of these functions to real-world problems
  • Skills required for success in future studies in calculus

Prerequisites:
MAT117 College Algebra & Problem Solving

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Advanced Bayesian Statistics Using R (edX) EdX
University of Canterbury,UCx

Advanced Bayesian Statistics Using R (edX)

Now that you know the basics of Bayesian inference, dive deeper to explore its richness and flexibility more fully. Let’s take a closer look at modeling latent variables, Bayesian model averaging, generalised linear models, and MCMC methods. Advanced Bayesian Data Analysis Using R is part two of the Bayesian Data Analysis in R professional certificate.

Self Paced
Self-Paced
Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD (edX) EdX
Georgia Institute of Technology,GTx

Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD (edX)

This course takes you through roughly five weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology. In the first part of this course you will explore methods to compute an approximate solution to an inconsistent system of equations that have no solutions. Our overall approach is to center our algorithms on the concept of distance.

Self Paced
Self-Paced
Calculus Applied! (edX) EdX
HarvardX,Harvard University

Calculus Applied! (edX)

Apply tools of single-variable calculus to create and analyze mathematical models used by real practitioners in social, life, and physical sciences. In this course, we go beyond the calculus textbook, working with practitioners in social, life and physical sciences to understand how calculus and mathematical models play a role in their work.

Self Paced
Self-Paced
Bases Matemáticas: Derivadas (edX) EdX
Universitat Politècnica de València,UPValenciaX

Bases Matemáticas: Derivadas (edX)

Curso básico sobre funciones y sus derivadas, incluyendo sus aplicaciones a la resolución de problemas. Este curso se concibe como una revisión de los conceptos básicos del cálculo diferencial, necesarios para los primeros cursos de aquellos estudios universitarior en los que se imparte matemáticas.

Self Paced
Self-Paced
Aplicaciones de la Teoría de Grafos a la vida real (I) (edX) EdX
Universitat Politècnica de València,UPValenciaX

Aplicaciones de la Teoría de Grafos a la vida real (I) (edX)

Aprenderemos a modelizar problemas del mundo real mediante su representación con grafos y a resolverlos mediante sus algoritmos asociados. Este curso trata la Teoría de Grafos desde el punto de vista de la modelización, lo que nos permitirá con posterioridad resolver muchos problemas de diversa índole. Presentaremos ejemplos de los distintos problemas en un contexto real, analizaremos la representación de éstos mediante grafos y veremos los algoritmos necesarios para resolverlos.

Self Paced
Self-Paced
MathTrackX: Statistics (edX) EdX
University of Adelaide,AdelaideX

MathTrackX: Statistics (edX)

Understand fundamental concepts relating to statistical inference and how they can be applied to solve real world problems. This course will build on probability and random variable knowledge gained from previous courses in the MathTrackX XSeries with the study of statistical inference, one of the most important parts of statistics.

Self Paced
Self-Paced
MathTrackX: Special Functions (edX) EdX
University of Adelaide,AdelaideX

MathTrackX: Special Functions (edX)

Understand trigonometric, exponential and logarithmic functions and how they can be applied in the real world. This course is part two of the MathTrackX XSeries Program which has been designed to provide you with a solid foundation in mathematical fundamentals and how they can be applied in the real world.

Self Paced
Self-Paced
Mathematical understanding of uncertainty (edX) EdX
Seoul National University,SNUx

Mathematical understanding of uncertainty (edX)

This lecture series discusses how the concept of probability can be used to handle, control, and exploit uncertainty in the real-world. It is an undergraduate-level lecture series on probability, but is entirely different from the usual courses on probability theory. The lectures cover the basics of probability theory including the relevant mathematics, but instead of focusing on mathematics, the lectures explain how probability theory can help understand real-world uncertainty using various examples.

Self Paced
Self-Paced
Calculus II: Multivariable Functions (edX) EdX
Delft University of Technology,DelftX

Calculus II: Multivariable Functions (edX)

This course provides an overview of bachelor-level calculus of multivariable functions (Calculus II). You will review many basic concepts related to differentiation and integration of multivariable functions. A strong foundation in mathematics is critical for success in all science and engineering disciplines. Whether you want to make a strong start to a master’s degree, prepare for more advanced courses, solidify your knowledge in a professional context or simply brush up on fundamentals, this course will get you up to speed.

Self Paced
Self-Paced
Pre-University Calculus (edX) EdX
Delft University of Technology,DelftX

Pre-University Calculus (edX)

Prepare for Introductory Calculus courses. Mathematics is the language of Science, Engineering and Technology. Calculus is an elementary Mathematical course in any Science and Engineering Bachelor. Pre-university Calculus will prepare you for the Introductory Calculus courses by revising four important mathematical subjects that are assumed to be mastered by beginning Bachelor students: functions, equations, differentiation and integration.

Self Paced
Self-Paced