Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors
Coursera
7 Courses
Johns Hopkins University is a globally recognized research university comprising 9 schools and campuses worldwide. It provides more than 260 degree programs, ranging from undergraduate to graduate and postdoctoral studies.
Overview
Course Title: Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors
Description: Delve deeper into the world of linear transformations with the second course in our Linear Algebra Specialization offered by Johns Hopkins University through Coursera. Building on foundational concepts, this course explores the intricacies of matrices as special linear transformations on vectors, focusing on algebraic manipulation techniques crucial for solving systems of linear equations. Discover the properties that define an invertible matrix and learn to identify relevant subspaces in R^n. Gain a comprehensive understanding of matrix geometry by examining eigenvalues and eigenvectors, key to fields such as mathematics, data science, machine learning, artificial intelligence, and dynamical systems. The course culminates in practical applications, including Markov Chains and the Google PageRank Algorithm, enriching your linear algebra toolkit.
Provider: Coursera
University: Johns Hopkins University
Categories: Linear Algebra Courses
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Coursera
Coursera
1275 Courses
Coursera
Free Online Course (Audit)
English
15 hours
On-Demand
