EdX

Pre-University Calculus (edX)

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.

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

After this course you will be well prepared to start your university calculus course. You will learn to understand the necessary definitions and mathematical concepts needed and you will be trained to apply those and solve mathematical problems. You will feel confident in using basic mathematical techniques for your first calculus course at university-level, building on high-school level mathematics. We aim to teach you the skills, but also to show you how mathematics will be used in different engineering and science disciplines.

This course is part of the Science and Engineering Prep: Pre-university Calculus and Physics Professional Certificate.

Education method:
This is a self-paced course consisting of 7 modules (or weeks) and 1 final exam. The modules consist of a collection of 3-5 minute lecture videos, inspirational videos on the use of mathematics in Science, Engineering and Technology, (interactive) exercises and homework.
The videos, practice exercises and homework are available free of charge in the audit track. In the ID-verified track, necessary if you pursue a certificate, you can additionally access the final exam.

What you'll learn:

  • Understand, visualize and manipulate different elementary functions, like powers, roots, polynomials, trigonometric functions, exponential and logarithmic functions.
  • Understand, visualize and solve equations and inequalities involving these elementary functions.
  • Understand the concept of differentiation and to calculate the derivatives of compositions of elementary functions.
  • Understand the concept of integration and to use some elementary integration techniques
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

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
Algèbre Linéaire (Partie 3) (edX) EdX
École Polytechnique Fédérale de Lausanne,EPFLx

Algèbre Linéaire (Partie 3) (edX)

Un MOOC francophone d'algèbre linéaire accessible à tous, enseigné de manière rigoureuse et ne nécessitant aucun prérequis. Vous voulez apprendre l'algèbre linéaire, un précieux outil complémentaire à vos connaissances acquises durant vos études en économie, ingénierie, physique, ou statistique? Ou simplement pour la beauté de la matière? Alors ce cours est fait pour vous!

Self Paced
Self-Paced
Java Programming Fundamentals (edX) EdX
Galileo University,GalileoX

Java Programming Fundamentals (edX)

Your career as a program developer starts here. Gain entry-level programing skills in Java language, and prepare yourself to handle any task that is required in any programming job. Java is one of the most in-demand programming languages today. This course is designed to provide students the basic skills and knowledge on Java.

Self Paced
Self-Paced
Probability and Statistics I: A Gentle Introduction to Probability (edX) EdX
Georgia Institute of Technology,GTx

Probability and Statistics I: A Gentle Introduction to Probability (edX)

This course provides an introduction to basic probability concepts. Our emphasis is on applications in science and engineering, with the goal of enhancing modeling and analysis skills for a variety of real-world problems. In order to make the course completely self-contained (and to bring back long-lost memories), we’ll start off with Bootcamp lessons to review concepts from set theory and calculus.

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
Computing in Python II: Control Structures (edX) EdX
Georgia Institute of Technology,GTx

Computing in Python II: Control Structures (edX)

Learn about control structures, one of the most powerful parts of programming. This course covers conditionals, loops, functions, and error handling, specifically in Python but with broader applicability to other languages as well. Building on your prior knowledge of variables and operators, this course gets into the meat of programming. Organized into five chapters, this course starts by covering the fundamentals of what control structures are and what they do, then moves on to four common control structures in Python.

Self Paced
Self-Paced
Métodos numéricos para matemáticas con Octave (edX) EdX
Universitat Politècnica de València,UPValenciaX

Métodos numéricos para matemáticas con Octave (edX)

En este curso en línea se hace una introducción a diferentes temas relacionados con la resolución numérica de ecuaciones diferenciales ordinarias. En este curso de matemáticas se desarrollaran aspectos básicos relacionados con la resolución numérica de problemas de valor inicial asociados a ecuaciones diferenciales ordinarias, tanto desde un punto de vista teórico como práctico, haciendo uso del programa Octave para resolver distintos ejercicios relacionados.

Self Paced
Self-Paced
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