Course provided by Udemy

Study type: Online

Starts: Anytime

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## Overview

Do you find traditional ways of teaching unengaging?

Are you looking for new and interesting ways to learn calculus?

‘The Great Calculus – Derivatives’ course is for you!

This course covers DERIVATIVES using real-world examples.

If you’re taking a STEM degree (Science, Technology, Engineering and Mathematics), thinking about embarking on a career in a STEM field, looking at a change in direction, or you need to brush up your calculus / mathematics in order to advance your career, ‘The Great Calculus – Derivatives’ has you covered.

From the everyday to the extraordinary, find out how derivatives are used, from stopping elephant poaching to monitoring bee populations, and video game coding.

Calculus / mathematics is everywhere, and studying with ‘The Great Calculus – Derivatives’ can take you anywhere.

Derivatives (Calculus 1) – Course Content:

• Definition

• Rules of Differentiation

• At a point

• As a function

• Derivatives as a rate of change

• Application to motion

• Higher Order derivatives

• Difference Quotient

• Chain Rule and implicit differentiation

• Physical Applications

• Optimization

• Maximum and minimum points, increasing and decreasing functions

• Inflection points and concavity

• Using derivatives to analyze graphs.

• Related Rates

• Mean Value Theorem

• Tangent Lines

The Great Calculus is brought to you by BoxMedia together with an incredible team of maths experts from world-renowned universities like California Institute of Technology, University of Cambridge, and the University of Oxford.

The Great Calculus won the PLATINUM Award, the top prize in Motion Graphics Explanation at the 2021 AVA Awards.

## Expected Outcomes

1. Introduction to derivatives covering the standard derivatives formulas including: the product rule, quotient rule, and chain rule, as well as the derivatives of basic functions.
2. Related rates and implicit differentiation, higher order derivatives, and logarithmic differentiation.
3. Determining absolute and relative minimum, and maximum function values (both with and without constraints).
4. Graphing functions.