Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data ...

This course focuses on lines and planes, the geometry and algebra of vectors, systems of linear equations, matrix algebra, linear independence, spanning sets, basis, linear transformations, ...

Text: Linear Algebra and Its Applications (6th Edition) [Hardcover], David C. Lay. ISBN­: 9780135851258 (effective Spring 2023) Prerequisite : Credit for or concurrent enrollment in MATH 2414. Course ...

MATH 146 is an advanced-level version of MATH 136. Topics includes vector spaces, linear dependence and span, bases and dimension, linear transformations, rank, change of coordinate matrices, and ...

Linear functions are an important concept for students to understand in math class. They can be represented using tables, graphs or equations. Teachers can use various activities to teach students how ...

Linear algebra grew out of the development of techniques at the start of the 18th century by Leibniz, Cramer and Gauss to solve systems of linear equations. Cayley developed matrix algebra in the ...

Pamela J. Wells, Understanding Linear Functions and Their Representations, Mathematics Teaching in the Middle School, Vol. 21, No. 5 (December 2015/January 2016), pp. 308-316 Free online reading for ...

Linear functions are a complex, multifaceted idea whose power and richness permeate almost all areas of mathematics (LLOYD; WILSON, 1998). In school curricula, functions are taught at a fundamental ...