Calculus Revisited, Fall 2010

Abstract:: Calculus Revisited is a series of videos and related resources that covers the materials normally found in a freshman-level introductory calculus course.  The series was first released in 1970 as a way for people to review the essentials of calculus.  It is equally valuable for students who are learning calculus for the first time.

Multivariable Calculus, Fall 2007

Abstract:: This course covers differentiation and integration of functions of one variable, with applications. Topics in differentiation include the definition of differentiation, rules, application to graphing, rates, approximations, and extremum problems. Topics in indefinite integration include separable first-order differential equations and the fundamental theorem of calculus. Other topics covered include applications of integration to geometry and science, elementary functions, techniques of integration, polar coordinates, L'Hôpital's rule, improper integrals, and infinite series: geometric, p-harmonic, simple comparison tests, and formal power series for some elementary functions. This course covers vector and multi-variable calculus. It is the second semester in the freshman calculus sequence. Topics include vectors and matrices, partial derivatives, double and triple integrals, and vector calculus in 2 and 3-space. MIT OpenCourseWare offers another version of 18.02, from the Spring 2006 term. Both versions cover the same material, although they are taught by different faculty and rely on different textbooks. Multivariable Calculus (18.02) is taught during the Fall and Spring terms at MIT, and is a required subject for all MIT undergraduates.

Abstract:: This course covers differential, integral and vector calculus for functions of more than one variable. These mathematical tools and methods are used extensively in the physical sciences, engineering, economics and computer graphics.

Abstract:: Calculus of several variables. Vector algebra in 3-space, determinants, matrices. Vector-valued functions of one variable, space motion. Scalar functions of several variables: partial differentiation, gradient, optimization techniques. Double integrals and line integrals in the plane; exact differentials and conservative fields; Green's theorem and applications, triple integrals, line and surface integrals in space, Divergence theorem, Stokes' theorem; applications.