Lectures: MTWTh 11:00am - 1:00pm.
Instructor: Jacksyn Bakeberg.
E-mail: lastname@bu.edu where lastname = bakeberg.
Office: MCS B25-B.
Office Hours: Tuesday 10:00-11:00am and Thursday 2:00-3:00pm.
Syllabus: available here.
Textbook: Understanding Linear Algebra by David Austin (free online).
Linear algebra is the study of vector spaces and linear transformations. It is a field with profound applications elsewhere in mathematics as well as in computer science, physics, economics, etc. In this course we will learn how to solve linear systems of equations using matrices. We will learn what are vector spaces, linear transformations, eigenvalues, eigenvectors, etc. We will explore applications depending on your interests. Examples include image compression, Google's PageRank algorithm, dynamical systems, and more.
We will both emphasize being able to solve these problems by hand with a pencil and paper, as well as highlight the computational nature of the subject using the computer algebra software called Sage.
Weekly problem sets will be posted here, to be submitted on Gradescope:
Last updated: 23 June 2022.