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Mastering Linear Algebra: An Introduction with Applications

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Take your math skills to a new level with linear algebra, which is used in everything from computer graphics to quantum mechanics.

Syllabus

01: Linear Algebra: Powerful Transformations
02: Vectors: Describing Space and Motion
03: Linear Geometry: Dots and Crosses
04: Matrix Operations
05: Linear Transformations
06: Systems of Linear Equations
07: Reduced Row Echelon Form
08: Span and Linear Dependence
09: Subspaces: Special Subsets to Look For
10: Bases: Basic Building Blocks
11: Invertible Matrices: Undoing What You Did
12: The Invertible Matrix Theorem
13: Determinants: Numbers That Say a Lot
14: Eigenstuff: Revealing Hidden Structure
15: Eigenvectors and Eigenvalues: Geometry
16: Diagonalizability
17: Population Dynamics: Foxes and Rabbits
18: Differential Equations: New Applications
19: Orthogonality: Squaring Things Up
20: Markov Chains: Hopping Around
21: Multivariable Calculus: Derivative Matrix
22: Multilinear Regression: Least Squares
23: Singular Value Decomposition: So Cool
24: General Vector Spaces: More to Explore
By This Professor

Taught by

Francis Su

Reviews

4.4 rating at The Great Courses Plus based on 58 ratings

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