Online Course
Calculus: Single Variable Part 1 - Functions
University of Pennsylvania via Coursera
-
4.8k
-
- Write review
Overview
Class Central Tips
In this first part--part one of five--you will extend your understanding of Taylor series, review limits, learn the *why* behind l'Hopital's rule, and, most importantly, learn a new language for describing growth and decay of functions: the BIG O.
Syllabus
-Welcome to Calculus: Single Variable! below you will find the course's diagnostic exam. if you like, please take the exam. you don't need to score a minimal amount on the diagnostic in order to take the course. but if you do get a low score, you might want to readjust your expectations: this is a very hard class...
A Review of Functions
-This module will review the basics of your (pre-)calculus background and set the stage for the rest of the course by considering the question: just what is the exponential function?
Taylor Series
-This module gets at the heart of the entire course: the Taylor series, which provides an approximation to a function as a series, or "long polynomial". You will learn what a Taylor series is and how to compute it. Don't worry! The notation may be unfamiliar, but it's all just working with polynomials....
Limits and Asymptotics
-A Taylor series may or may not converge, depending on its limiting (or "asymptotic") properties. Indeed, Taylor series are a perfect tool for understanding limits, both large and small, making sense of such methods as that of l'Hopital. To solidify these newfound skills, we introduce the language of "big-O" as a means of bounding the size of asymptotic terms. This language will be put to use in future Chapters on Calculus.
Taught by
Robert Ghrist
Tags
Related Courses
-
Single Variable Calculus
University of Pennsylvania
-
Calculus: Single Variable Part 2 - Differentiation
University of Pennsylvania
5.0 -
Calculus: Single Variable Part 3 - Integration
University of Pennsylvania
4.3 -
Calculus: Single Variable Part 4 - Applications
University of Pennsylvania
4.7 -
Mathematics for Machine Learning: Multivariate Calculus
Imperial College London
4.9 -
Mathematics for Machine Learning
Imperial College London
3.0
Reviews
4.6 rating, based on 8 reviews
-
Ashlynn Pai completed this course, spending 4 hours a week on it and found the course difficulty to be medium.
I took this course to gain another perspective on single-variable calculus and it did not disappoint. I still find Taylor series mysterious but my understanding has improved thanks to this course. -
Ahmed Elashry completed this course.
-
Shmavon Gazanchyan
Shmavon Gazanchyan completed this course.
-
Lesley Lai
Lesley Lai completed this course.
-
Anonymous
Anonymous completed this course.
I like this course . Improve my knowledge. Problems are very interesting . I spend few times but I understand few minutes your teaching is super.
-
Maxweel Carmo completed this course.
-
Mark Oloughlin
Mark Oloughlin completed this course.
-
Abdinajib Hussein Osman completed this course.
Never Stop Learning!