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Course Description

This is a first course in linear algebra, aimed at students with diverse backgrounds. It covers the content of a standard textbook: linear systems, vectors and matrices, dimensions and bases of vector spaces, eigenvalues and eigenvectors, singular value decomposition. It is also dedicated to explaining applications of these linear algebra concepts in classic analysis methods as well as state-of-the-art statistical inference and machine learning approaches. In the application portion of the course we will strive to tailor the content to the interests and research needs of the students.

MATH 215 is part of a  two-part course which can be taken as a bundle.

Learner Outcomes

When you complete the course successfully, you will be able to:

  • Perform systems linear equations and their matrix representation
  • Apply the concept of vector spaces, subspaces, and linear dependence
  • Compute the orthogonality and projection for subspaces
  • Explain statistical methods based on linear models

Microcredential(s):

This course applies toward the Bioinformatics Endeavor digital badge.

 

Textbook Information

A textbook is available for this course.

Click here to view a textbook list for FAES courses and purchasing information. Please note that tuition does not include textbooks.

Prerequisites

One semester of analytic geometry or calculus is recommended, but not required. Basic knowledge of vectors, cartesian coordinates, and algebra is required. If you are unsure that you meet the prerequisite requirements, please contact registrar@faes.org and provide information about your course of interest and background knowledge

Refund
Follow the link to review FAES Tuition Refund Policy.

Funding Justification Guide

Some labs and institutes may have specific funds set aside for trainees to continue their education and professional development. FAES has created a guide intended to help trainees request funds that may be available and, if they are available, request use of the training funds for continued professional development. More details
 

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