EdX

Calculus I: From Functions to Differential Equations (edX)

Calculus I: From Functions to Differential Equations (edX)

Refresh and review your bachelor-level calculus. This course covers all the various differentiation and integration techniques and guides you through several important methods for solving differential equations. 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.

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

This course allows you to get a solid basis by refreshing and reviewing your bachelor-level calculus.
The course focuses on functions of one variable. In the first 5 weeks you will learn all the basic integration, differentiation and approximation techniques required in a first calculus course of an engineering bachelor education. In the final week these topics will all come together as you solve and analyze several ordinary differential equations.
We use examples that are based on real-life applications so you can practice your mathematical skills in an engineering context. Our courses in calculus offer enough depth to cover what you need to succeed in your engineering master’s or profession in areas such as modeling, physics, fluid dynamics, dynamical systems and more.
This is a review course
This self-contained course is modular, so you do not need to follow the entire course if you wish to focus on a particular aspect. As a review course you are expected to have previously studied or be familiar with most of the material. Hence the pace will be higher than in an introductory course.
This format is ideal for refreshing your bachelor level mathematics and letting you practice as much as you want. Through the Grasple platform, you will have access to plenty of exercises – often with different numbers – and receive intelligent, personal and immediate feedback.
This course is part of our series Mastering Mathematics for Engineers , and together with the course Calculus II part of the program Mastering Calculus.
This course is part of the Mastering Calculus Professional Certificate.

Prerequisites:
Prior knowledge of all the material covered.
In this course we develop the calculus up to a level required for solving and analyzing several important ordinary differential equations. As such the course requires you to have a grasp of or be familiar with pre-university level mathematics including basic elementary functions, trigonometry, algebra and differentiation.

What you'll learn

  • Apply differentiation techniques such as the chain rule and implicit differentiation.
  • Apply integration techniques such as integration-by-parts and substitution.
  • Solve ordinary differential equations that are important in engineering like a damped, forced harmonic oscillator.
  • Compute horizontal asymptotes to find equilibria and growth rates.
  • Analyze challenging engineering problems using these techniques

Syllabus

Week 1:

  • functions
  • graphs
  • inverse function
  • inverse trigonometric functions
  • compositions of functions

Week 2:

  • differentiation
  • tangent lines
  • implicit differentiation
  • differentiation of inverses

Week 3:

  • approximation errors
  • linear approximation
  • differentials
  • Taylor polynomials
  • Taylor’s inequality

Week 4:

  • horizontal asymptotes
  • growth rates
  • computing horizontal asymptotes

Week 5:

  • integration
  • integration by parts
  • substitution method
  • integration by Taylor polynomial
  • integrals over unbounded domains

Week 6:

  • differential equations
  • direction fields
  • first order separable and linear equations
  • forced and damped harmonics oscillators
  • approximating solutions to differential equations using Taylor polynomials
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

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
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
Introducción a Matemáticas para Finanzas y Negocios (edX) EdX
Tecnológico de Monterrey,TecdeMonterreyX

Introducción a Matemáticas para Finanzas y Negocios (edX)

El objetivo del curso es entender como ciertos conceptos matemáticos se utilizan de forma recurrente para analizar problemas financieros y de negocios. En la primera parte del curso se analiza el caso de las funciones lineales donde se introduce el concepto de pendiente para cuantificar la dependencia entre las variables.

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
Effective Thinking Through Mathematics (edX) EdX
University of Texas at Austin,UTAustinX

Effective Thinking Through Mathematics (edX)

Learn tools of effective thinking through puzzles and mathematics in this fun and fascinating course. A wondrously romantic belief is that brilliant thinkers magically produce brilliant ideas: Einstein jostles his hair and relativity falls out. We can enjoy these fanciful visions of leaps of genius, but we should not be fooled into believing that they’re reality.

Self Paced
Self-Paced
Marketing Management (edX) EdX
Indian Institute of Management, Bangalore,IIMBx

Marketing Management (edX)

Learn how to effectively apply marketing management theories and practices, including the marketing mix, through real-world business scenarios. According to world-renowned management consultant, Peter Drucker, "Marketing is the only distinguishing and unique function of business…There is only one valid definition of business purpose and that is to create a customer.”

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
Linear Algebra II: Matrix Algebra (edX) EdX
Georgia Institute of Technology,GTx

Linear Algebra II: Matrix Algebra (edX)

This course takes you through roughly three weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology. Your ability to apply the concepts that we introduced in our previous course is enhanced when you can perform algebraic operations with matrices. At the start of this class, you will see how we can apply the Invertible Matrix Theorem to describe how a square matrix might be used to solve linear equations.

Self Paced
Self-Paced