BUND 019 - 2-COURSE BUNDLE - Introduction to Linear Algebra With Applications in Statistics I & II

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 these courses 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
Demonstrate the calculations of eigenvalues and eigenvectors
Carry out matrix diagonalization and positive definite matrices
Explain the singular value decomposition (SVD) and principal component analysis (PCA)
Apply linear algebra in statistics

Microcredential(s):

These courses apply 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.

If you cancel a course, the bundled price no longer applies and you need to pay the individual course and technology fees.

Scholarship and Funding

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