**Course description:** Systems of equations, matrices, determinants, linear transformations on vector spaces, characteristic values and vectors, from a computational point of view. The course is an introduction to the techniques of linear algebra with elementary applications.

**Prerequisites: **MATH 1132 or 1152 or 2142. Recommended preparation: a grade of C- or better in MATH 1132. Not open after passing MATH 2144, 3210, 3510, or 3710. Repeat restrictions apply. See advising.uconn.edu/repeat-policy for information.

**Book: **You will need to obtain a copy of the textbook (David C. Lay et al.: Linear Algebra and Its Applications). Homework will consist of problems from the 5th edition of the book.

* You can find all the information about this course: syllabus, outline, homework, etc. on HuskyCT.*

**Software:**

We are going to use MatLab that is free for all UConn students. You need to master it for the extra credit assignments.

MATLAB (*matrix laboratory*) by MathWorks is technical computing software for math, graphics and programming. It allows users to do anything from data analysis and algorithm development or to model creation.

**Useful resources:**

- A free open-source textbook in linear algebra by Rob Beezer uses the open-source software package Sage for computations. You can download a print edition, or view the online hyperlinked version. (This text is geared a bit more for those transitioning to theoretical math courses.)
- Khan Academy has plenty of video lectures.
- The MIT 18.06 (Linear Algebra) website has lots of resources, including Mathlets (small web-based teaching tools) (called "Demos" under the Extras link.). See also resources related to Strang's standard textbook Introduction to Linear Algebra, in its 5th edition as of 2016. (This text is more geared towards applications.) Strang's video lectures are available on YouTube, or cataloged at the MIT 18.06 Course Website for Fall 2011.
- A Linear Transformation Viewer by Lauren K. Williams.
- The Q Center is a great resource if you need help on homework, or just need something explained a different way to you. Best of all, it's free! Check the schedule to see if there's a MATH2210Q tutor there before you go.
- This website has calculators for many of the matrix operations that we'll be using this semester. It can even show you the steps it uses to reduce a matrix! try not to rely on it too much, but use it to check your work or if you get stuck.
- The Essence of Linear Algebra series by 3Blue1Brown has excellent visualizations and explanations for some of the concepts we'll be encountering. They have videos for other courses, too.
- This website has a ton of applications of linear algebra to physics.