Have you ever wondered how a model can predict the outcome of a Covid-19 outbreak? How can an analyst go through thousands of bonds and stocks and determine the risk associated with an investment? How can a policy-maker estimate the effects of a tax-incentive on the economy growth in the future? Linear Algebra provides the engines that power these applications. The objects and structures in Linear Algebra can be used in many areas from physics to data mining or business analysis. This course is designed to help students understand the basic concepts and methods of Linear Algebra as well as how to build real world models and compute solution using computer programming (Python). Major topics in this course include vectors and matrices, matrix operations, determinant, solving simultaneous linear equations, eigenvalues and eigenvectors, matrix decompositions and real life applications.

offering time

Fall 22


Applied Mathematics


Hieu Nguyen


Course code


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