Massively Multivariable Open Online Calculus Course

开始时间: 待定 持续时间: Unknown

所在平台: Coursera

课程类别: 计算机科学

大学或机构: The Ohio State University(美国俄亥俄州立大学)

授课老师: Jim Fowler Steve Gubkin



Explore 1600+ online courses from top universities. Join Coursera today to learn data science, programming, business strategy, and more.


第一个写评论        关注课程


M2O2C2 is an invitation to think carefully about how one thing changing affects something else. What is the "derivative" of a function of many variables? How can a curved object be approximated by a flat plane? What does the chain rule look like when many things are affecting many other things? How do we find an input which maximizes a function of many variables?

This is a first course in multivariable differential calculus, but along the way, we will also introduce a ton of linear algebra. The result is a course targeted at a student who has seen a bit of calculus and who is willing to learn about linear transformations and vectors; such a student will have the best possible vantage point from which to explore derivatives of functions of many variables.


This course is a first taste of multivariable calculus, but viewed through the lens of linear algebra. Introducing matrices (and linear transformations!) permits us to share a more coherent story about multivariable differential calculus.

Week 1: Multiple variables
Week 2: Limits and derivatives
Week 3: The chain rule
Week 4: Second derivative
Week 5: Optimization
Week 6: Higher derivatives


Coursera Plus banner featuring three learners and university partner logos


M2O2C2 provides a first taste of multivariable differential calculus. By introducing the machinery of linear algebra, this course provides helpful tools for understanding the derivative of a function of many variables.


M2O2C2 多元微积分 多变量微积分