Course Description

Save a bundle and receive 30% off the individual course rate when you register for both MATH 215 AND MATH 216.

These courses are 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, and 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 courses we will strive to tailor the content to the interests and research needs of the students.

Bundle Courses:

MATH 215 | Introduction to Linear Algebra With Applications in Statistics, Part 1

MATH 216 | Introduction to Linear Algebra With Applications in Statistics, Part 2

Learner Outcomes

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

• Understand systems linear equations and their matrix representation
• Learn the concept of vector spaces, subspaces, and linear dependence
• Learn spectral methods for analyzing matrices
• Understand statistical methods based on linear models

Microcredential(s):

This course applies toward the Bioinformatics Endeavor digital badge.

Textbook Information

A textbook is required or recommended for this course. Click here to view a textbook list for FAES courses and purchasing information. Please note that tuition does not include textbooks. If you have already purchased the textbook for MATH 215, do not purchase an additional textbook for MATH 216.