#### MAT 2320 Linear Algebra

Systems of linear equations, matrices, determinants, linear transformations, Euclidean n-space, coordinate vectors, abstract vector spaces, dimension and rank, eigenvalues and eigenvectors, orthogonal vectors, least-square problems, diagonalization, quadratic forms, singular-value decomposition. Applications such as Markov chains and computer graphics will be covered. Students will be introduced to the use of MATLAB for Linear Algebra. Two classroom, two lab hours per week.

Prerequisites: MAT 2280

##### Course Outcomes

- Prove elementary theorems from linear algebra; prove that given sets are vector spaces or subspaces; prove that given transformations are linear.
- Solve linear systems of equations using Gauss-Jordan reduction and the inverse matrix method.
- Determine a basis for a vector space, determine eigenvalues and eigenvectors of a matrix and then use them to diagonalize the matrix.

##### Credit Hours: 3

- Classroom: 2 hours
- Lab: 2 hours

- Division: Science, Mathematics and Engineering
- Department: Mathematics

- Repeatable Credit: No
- Offered Online: No

Downtown Dayton Campus

Bldg 1, Rm 315

**Faculty:**Lobo

**Term:**Spring 2022

**Format:**Course meets in person on scheduled day(s) and time(s).

**Course Fee:**$18.00

**Open Seats:**19

**Meets:**TTH from 2:00PM to 3:50PM

**Section:**310

**Open Seats:**19

**Meets:**TTH from

2:00PM to 3:50PM

**Section:**310

Virtual Learning

**Faculty:**Lobo

**Term:**Spring 2022

**Format:**Course meets virtually during scheduled day(s) and time(s), with some online content. Check the schedule to confirm days and times your class will meet virtually. Requires computer and high-speed internet.

**Note:**Webcam required

**Course Fee:**$18.00

**Open Seats:**8

**Meets:**TTH from 2:00PM to 3:50PM

**Section:**311

**Open Seats:**8

**Meets:**TTH from

2:00PM to 3:50PM

**Section:**311