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Massachusetts Institute of Technology

Multivariable Calculus 1: Vectors and Derivatives

Massachusetts Institute of Technology via edX

This course may be unavailable.

Overview

Variables are all around us: temperature, altitude, location, profit, color, and countless others. Multivariable Calculus is the tool of choice to shed light on complex relationships between 2, 3, or hundreds of variables simultaneously.

  • How does one control a robot whose motion depends on several variables at once?
  • How does an oceanographer understand carbon absorption of the ocean?
  • How can one assess if a prediction model matches data optimally?
  • How can one design policy to affect the behavior of consumers in order to better protect the planet?

All of these questions involve understanding vectors and derivatives of multivariable functions.

In this course, we begin our exploration of functions of several variables. We will start with learning to visualize multivariable functions, then move to computing and interpreting their derivatives. ​You will discover how to use linear approximations in several variables to simplify complex questions and will start to think about the world through multivariable dependencies.

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Please note: edX Inc. has recently entered into an agreement to transfer the edX platform to 2U, Inc., which will continue to run the platform thereafter. The sale will not affect your course enrollment, course fees or change your course experience for this offering. It is possible that the closing of the sale and the transfer of the edX platform may be effectuated sometime in the Fall while this course is running. Please be aware that there could be changes to the edX platform Privacy Policy or Terms of Service after the closing of the sale. However, 2U has committed to preserving robust privacy of individual data for all learners who use the platform. For more information see the edX Help Center.

Syllabus

Unit 1: Functions of two variables

  • Graphing functions and slicing
  • Level curves
  • Partial derivatives
  • Tangent planes
  • Linear approximation

Unit 2: Geometry of derivatives

  • Vectors
  • Dot products
  • Gradients
  • Vector fields
  • Directional derivatives

Unit 3: Optimization

  • Critical points
  • Second derivative test
  • Constrained optimization
  • Lagrange multipliers
  • Least squares approximation

Unit 4: Matrices

  • Systems of equations
  • Matrix algebra
  • Undetermined and overdetermined systems
  • Linear functions as matrix maps

Unit 5: Curves

  • Parametric curves in 2 and 3 dimensions
  • Chain rule
  • Review
  • Vectors and derivatives in three dimensions and higher

Taught by

Larry Guth, Jennifer French, Duncan Levear and Denis Auroux

Reviews

5.0 rating, based on 2 Class Central reviews

Start your review of Multivariable Calculus 1: Vectors and Derivatives

  • Anonymous
    I got the chance to learn from this course this term , it gave me ample opportunities to work on material through exercises , lectures , recitation and mathlets.
    The course is very interactive and very well prepared.
    In this first part you get to learn about level curves , tangent planes , level surfaces ,gradients , minimum and maximum calculation of a function (a lecture has been specifically provided to explain least square error approximation in data science)
    I am hoping for part 2 of the course this year.
  • Anonymous
    This is an excellent course. The problem sets are very well thought out and I learned a lot from doing the problems. The lectures start from the basics and build up to the main topics.

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