Linear algebra is an important branch of mathematics that studies, loosely speaking, the general properties of the objects that can be added together and multiplied by numbers. It is very important for many different fields of study since it provides a universal language to deal with quantitative data in physics, mechanics, statistics, data sciences, chemistry, biology, sociology, etc. Our main objective for the course is to learn the basics of this language and practice it by mainly computational problems, which can be encountered in almost any area of natural sciences.

• Classes: MWF 9:00am-9:50am, NDSU Minard Hall Rm 214
• Office hours: MWF 10:00am-11:00am (or by appointment)
• Syllabus
• Textbook: Elementary Linear Algebra by Larson, 8th edition via Cengage's WebAssign interactive learning

• Week 1-3. Solving systems of linear equations. (Chapter 1)
• Week 4-5. Matrices. Operations with matrices. (Sections 2.1-2.2). Test I.
• Week 6-9. Inverse matrix (Section 2.3). Determinants (Chapter III). Test II.
• Week 9-12. Vector spaces. (Chapter 4)
• Week 13-15. Inner product spaces (Chapter 6).
• Week 16-17. Eigenvalues and eigenvectors. Final exam.