Pupil outcome: I can produce geometric proofs to prove that points are collinear or that vectors are parallel. Key learning points: - Your knowledge of the properties of polygons can be applied to vector problems. - A regular polygon has...

Pupil outcome: I can identify vectors written algebraically which are parallel. Key learning points: - Parallel vectors have the same gradient. - In algebraic form, this may be seen when one vector is a multiple of another. - Vectors...

Pupil outcome: I can identify column vectors which are parallel. Key learning points: - Vectors are parallel if the gradient of each vector is the same. - If drawn, you can see this visually. - Parallel vectors are multiples of each other.

How do you add vectors, subtract vectors, and use a scalar on vectors? This video shows how to do all of these vector operations both algebraically and graphically. This video is for a precalculus class

This is the fifth video on the equations of lines and planes video series. In this video we derive the vector equation of a plane, the scalar equation of a plane and parametric equations of a plane in space.

This video is a review of Two Dimensional Vectors. This video goes over unit vectors, standard unit vectors and direction of vectors.

This video is a review of Two Dimensional Vectors. This video goes over how to algebraically find the scalar multiple of a vector and vector addition. The concept of parallel vector is also introduced along with 2 examples.

This video is a review of Two Dimensional Vectors. This video goes over 5 examples that make use of the algebraic definition of scalar multiplication and vector addition.

Plot a polar point with a negative radius

How to expand binomials by multiplying

In this video, we will cover a positive semi definite matrix.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning...

In this video, we will cover coordinates versus dimensions.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning...

An overview of the types of matrices and how to perform matrix addition.