Course curriculum
-
1
Introduction
-
Lesson 1 - Introduction
-
-
2
Vector Functions
-
Lesson 2 - Coordinate Systems and Vectors
-
Lesson 3 - Planes, Lines, and Vectors
-
Lesson 4 - Calculus for Vector Functions
-
Lesson 5 - Kinematics
-
Lesson 6 - Kinematics (Continued)
-
Lesson 7 - Sage
-
-
3
Multivariable Functions
-
Lesson 8 - Multivariable Functions
-
Lesson 9 - Partial Differentiation
-
Lesson 10 - Neural Networks
-
Lesson 11 - Directional Derivatives and the Gradient
-
Lesson 12 - Implicit Functions
-
Lesson 13 - Linear Approximations, Differentials, and Taylor Series
-
Lesson 14 - Extreme Values
-
Lesson 15 - Optimization
-
Lesson 16 - Iterated Integrals
-
Lesson 17 - Change of Variables for Double Integrals
-
Lesson 18 - Triple Integrals
-
Test 1
-
-
4
Vector Fields
-
Lesson 19 - Vector Fields
-
Lesson 20 - Conservative Vector Fields
-
Lesson 21 - Line Integrals
-
Lesson 22 - Surface Integrals
-
Lesson 23 - Flux
-
Lesson 24 - Divergence, Gradient, and Curl
-
Lesson 25 - Divergence Theorem, Green's Theorem, and Stokes's Theorem
-
Test 2
-