Multivariable Calculus
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.
Syllabus
- 1 Lecture 1: Dot Product
- 2 Lecture 2: Determinants
- 3 Lecture 3: Matrices
- 4 Lecture 4: Square Systems
- 5 Lecture 5: Parametric Equations
- 6 Lecture 6: Kepler's Second Law
- 7 Lecture 7: Exam Review
- 8 Lecture 8: Partial Derivatives
- 9 Lecture 9: Max-Min and Least Squares
- 10 Lecture 10: Second Derivative Test
- 11 Lecture 11: Chain Rule
- 12 Lecture 12: Gradient
- 13 Lecture 13: Lagrange Multipliers
- 14 Lecture 14: Non-Independent Variables
- 15 Lecture 15: Partial Differential Equations
- 16 Lecture 16: Double Integrals
- 17 Lecture 17: Polar Coordinates
- 18 Lecture 18: Change of Variables
- 19 Lecture 19: Vector Fields
- 20 Lecture 20: Path Independence
- 21 Lecture 21: Gradient Fields
- 22 Lecture 22: Green's Theorem
- 23 Lecture 23: Flux
- 24 Lecture 24: Simply Connected Regions
- 25 Lecture 25: Triple Integrals
- 26 Lecture 26: Spherical Coordinates
- 27 Lecture 27: Vector Fields in 3D
- 28 Lecture 28: Divergence Theorem
- 29 Lecture 29: Divergence Theorem (cont.)
- 30 Lecture 30: Line Integrals
- 31 Lecture 31: Stokes' Theorem
- 32 Lecture 32: Stokes' Theorem (cont.)
- 33 Lecture 33: Maxwell's Equations
- 34 Lecture 34: Final Review
- 35 Lecture 35: Final Review (cont.)
Course materials
- Course on MIT OpenCourseWare β website