Understand the concepts of vectors, vector spaces, and their applications in mathematics and science.
Learn how to solve systems of linear equations using methods such as substitution, elimination, and matrix techniques.
Explore matrices—including addition, multiplication, inverses, and transposition—and how they are used in problem-solving.
Discover determinants and their role in solving equations and understanding matrix properties.
Gain knowledge of linear transformations and how they relate to geometry and real-world applications.
Study eigenvalues and eigenvectors and their importance in fields such as computer graphics, physics, and data science.
Learn how algorithms work, how to analyze their efficiency, and understand Big-O notation.
Develop problem-solving strategies that connect linear algebra concepts to practical examples in technology, engineering, and economics.
Vectors, vector spaces, matrices, determinants, and their fundamental properties.
Solving linear systems, applying matrix techniques, and understanding linear transformations.
Eigenvalues, eigenvectors, and problem-solving strategies in science, technology, and engineering.
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