EdX

MathTrackX: Differential Calculus (edX)

MathTrackX: Differential Calculus (edX)

Discover concepts and techniques relating to differentiation and how they can be applied to solve real world problems. This course will cover basic concepts and techniques relating to differentiation; a fundamental tool of calculus. Derivatives are key to the understanding of rates of change, that is the extent to which a function responds to changes in a dependent variable.

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

This course is part three 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.
Guided by experts from the School of Mathematics and the Maths Learning Centre at the University of Adelaide, this course will cover concepts and techniques to provide a foundation for the applications of differentiation in STEM related careers and/or further study at the undergraduate level.
Join us as we provide opportunities to develop your skills and confidence in applying mathematics to solve real world problems.

What you'll learn

  • How derivatives relate to the slope of a function
  • How to calculate the derivative of polynomials and special functions
  • Differentiation rules for evaluating the derivative of non-trivial functions
  • The concept and application of ‘the second derivative’
  • How to use differentiation to solve problems in basic motion, mechanics and optimisation.
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: Probability (edX) EdX
University of Adelaide,AdelaideX

MathTrackX: Probability (edX)

Understand probability and how it manifests in the world around us. This course introduces probability and how it manifests in the world around us. Beginning with discrete random variables, together with their uses in modelling random processes involving chance and variation, you will start to uncover the framework for statistical inference.

Self Paced
Self-Paced
Introducción a las ecuaciones diferenciales (edX) EdX
Galileo University,GalileoX

Introducción a las ecuaciones diferenciales (edX)

Aprende el lenguaje de las ecuaciones diferenciales ordinarias y su aplicación en la modelación de muchos de los fenómenos que nos rodean. Este curso en línea se centra en el estudio de las ecuaciones diferenciales ordinarias (EDOs) de primer orden y consta de una introducción a la terminología y teoría, haciendo especial énfasis en la solución analítica de las mismas, sus propiedades y su aplicación en el modelado y resolución de problemas en física e ingeniería, entre otros.

Self Paced
Self-Paced
Cálculo Diferencial (edX) EdX
Galileo University,GalileoX

Cálculo Diferencial (edX)

El Cálculo marca una diferencia en la formación y capacidad de una persona para utilizar las matemáticas en otras ciencias y la ingeniería. Podemos afirmar sin temor a equivocarnos que un buen curso de Cálculo amplía la visión del estudiante en su campo y en su área de estudio.

Self Paced
Self-Paced
Maths Essentials (edX) EdX
Imperial College Business School,Imperial College London

Maths Essentials (edX)

Discover and acquire the fundamental maths skills that you will need to use while studying an MBA program, from algebra to differentiation and geometric series. Planning to study for an MBA but unsure of your basic maths skills? All MBA programs, and in business generally require some maths, particularly on quantitative subjects such as Accounting, Economics and Finance.

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
Cours préparatoire: Fonctions trigonométriques, logarithmiques et exponentielles (edX) EdX
École Polytechnique Fédérale de Lausanne,EPFLx

Cours préparatoire: Fonctions trigonométriques, logarithmiques et exponentielles (edX)

Ce cours donne les connaissances fondamentales liées aux fonctions trigonométriques, logarithmiques et exponentielles. Le cours propose une approche très détaillée et précise des notions fondamentales liées aux fonctions trigonométriques, logarithmiques et exponentielles.

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
Linear Algebra I: Vectors and Linear Equations (edX) EdX
Delft University of Technology,DelftX

Linear Algebra I: Vectors and Linear Equations (edX)

This course provides an overview of bachelor-level linear algebra. You will review all the concepts and practice and refresh the skills related to vectors and linear 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.

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