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18.01.2x

Calculus 1B: Integration

Access on MITx Online

This course is currently available on MITx Online.

About this course

How long should the handle of your spoon be so that your fingers do not burn while mixing chocolate fondue? Can you find a shape that has finite volume, but infinite surface area? How does the weight of the rider change the trajectory of a zip line ride? These and many other questions can be answered by harnessing the power of the integral.

But what is an integral? You will learn to interpret it geometrically as an area under a graph, and discover its connection to the derivative. You will encounter functions that you cannot integrate without a computer and develop a big bag of tricks to attack the functions that you can integrate by hand. The integral is vital in engineering design, scientific analysis, probability and statistics. You will use integrals to find centers of mass, the stress on a beam during construction, the power exerted by a motor, and the distance traveled by a rocket.

This course, in combination with Part 1, covers the AP* Calculus AB curriculum.

This course, in combination with Parts 1 and 3, covers the AP* Calculus BC curriculum.

Learn more about our High School and AP* Exam Preparation Courses

This course was funded in part by the Wertheimer Fund.

*Advanced Placement and AP are registered trademarks of the College Board, which was not involved in the production of, and does not endorse, these offerings.

What you'll learn

  • Some differential equation models for physical phenomena and solutions
  • The geometric interpretation, and physical meaning of the integral
  • The connection of the integral to the derivative
  • Several methods of numerically and symbolically integrating functions
  • To apply integrals to solve real world problems

Syllabus

Abridged Syllabus

Limits

  1. Limit Laws
  2. Continuity
  3. Intermediate Value Theorem

Differentiation

  1. Introducing the Derivative
  2. Rules for differentiation of all known functions
  3. Approximations

Applications of Differentiation

  1. Curve Sketchingv
  2. Optimization
  3. Related Rates

Course staff

David Jerison

Professor of Mathematics Massachusetts Institute of Technology

Gigliola Staffilani

Abby Rockefeller Mauzé Professor of Mathematics Massachusetts Institute of Technology

Jennifer French

Lecturer & Digital Learning Scientist Massachusetts Institute of Technology

Karene Chu

Lecturer and Research Scientist at Massachusetts Institute of Technology

  1. Course Number:

    18.01.2x
  2. Classes Start:

  3. Classes End:

  4. Length:

    15 weeks
  5. Year Created:

    2020
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