Duration of the online course: 75 hours and 24 minutes
4.8
(15)
Build confidence in vectors and multivariable calculus with this free online course—master gradients, multiple integrals, and vector fields for STEM success.
In this free course, learn about
Vector basics: magnitude, direction, components, unit vectors, and vector algebra
3D coordinate geometry: points, vectors, and equations for lines and planes
Dot product: computation, angles, projections, and orthogonality applications
Cross product: computation, orientation, area/volume interpretations, and normal vectors
Cylindrical & spherical coordinates; converting and describing 3D surfaces/regions
Vector functions: continuity, derivatives/integrals, and motion interpretation
Strengthen the calculus skills that power physics, engineering, computer graphics, data-driven modeling, and advanced mathematics. This free online course takes you beyond single-variable techniques and helps you think in 3D and higher dimensions, where vectors, surfaces, and vector fields become the language for describing real systems. Instead of treating topics as disconnected formulas, you will learn how geometric intuition and algebra work together to solve meaningful problems.
You will begin by developing a solid grasp of vectors in three-dimensional coordinate systems, including operations that reveal structure in space such as dot and cross products. From there, you will connect lines, planes, and common surfaces to a geometric toolkit that makes spatial reasoning faster and more reliable. As the course moves into vector functions, you will learn to describe motion with parameterizations and interpret derivatives as velocity and acceleration, building the bridge between calculus and dynamics.
The course then expands into multivariable functions, where limits, continuity, and partial derivatives help you analyze how outputs change when several inputs vary at once. You will learn how differentials support approximation, how the multivariable chain rule links composed systems, and how gradients and directional derivatives explain steepest ascent in a precise way. With this foundation, you will be able to form tangent planes, normal lines, and optimize functions of two variables, including constrained optimization using Lagrange multipliers.
Integration becomes more powerful as you progress to double and triple integrals, including strategies for setting up iterated integrals and choosing coordinate systems that simplify geometry. You will learn how polar, cylindrical, and spherical coordinates can turn complicated regions into manageable ones, and how change of variables with the Jacobian supports flexible modeling. Applications like mass, moments, and volume reinforce why these methods matter.
Finally, you will work with vector fields and the calculus of circulation and flux: divergence, curl, and line integrals, along with the key theorems that connect local behavior to global results. With videos and practice questions throughout, you will build the conceptual clarity and problem-solving habits needed for exams, future coursework, and technical careers.
Course content
Video class: Calculus 3 Lecture 11.1: An Introduction to Vectors2h37m
Video class: Calculus 3 Lecture 11.2: Vectors in 3-D Coordinate System1h10m
Exercise: What is a key feature of a 3D coordinate system?
Video class: Calculus 3 Lecture 11.3: Using the Dot Product2h29m
Exercise: What is the dot product of two vectors?
Video class: Calculus 3 Lecture 11.4: The Cross Product2h11m
Video class: Calculus 3 Lecture 11.5: Lines and Planes in 3-D3h21m
Video class: Calculus 3 Lecture 11.6: Cylinders and Surfaces in 3-D2h32m
Video class: Calculus 3 Lecture 11.7: Using Cylindrical and Spherical Coordinates1h40m
Video class: Calculus 3 Lecture 12.1: An Introduction To Vector Functions2h04m
Exercise: Identify the Interval of Continuity for a Vector Function
Video class: Calculus 3 Lecture 12.2: Derivatives and Integrals of Vector Functions2h42m