A printed version of this page has no headers, footers, menu bars or this message.

### General Information, Syllabus, Assessment and Test Dates

Undergraduate Catalog Description: Systems of linear equations, matrices, linear programming, determinants, vector spaces, inner product spaces, eigenvalues and eigenvectors, linear transformations, and numerical methods. Credit not given for both Math 3110 and Math 3120. Spring semester. Prerequisite: A grade of "C-" or better in Math 1520 and a knowledge of vectors.

### Objectives

- Develop a thorough understanding of the concepts and techniques of linear algebra
- Further develop the ability to apply your knowledge to solve problems
- (Further) develop skills for working effectively with others on mathematics problems

### Student Learning Objectives

- Students will be able to demonstrate the ability to write formal definitions of fundamental concepts of the course, e.g., linear independence, vector space, subspace, determinant, linear transformation, inner product, eigenvalues, eigenvectors.
- Students will be able to demonstrate the ability to perform the basic computations of linear algebra, e.g., row reduction of matrices, solving linear systems of equations, finding inverses of matrices, computing determinants, finding eigenvalues and eigenvectors.
- Students will be able to demonstrate the ability to correctly write the statements of important theorems.
- Students will be able to demonstrate the ability to recognize when and how to apply important theorems.
- Students will be able to demonstrate the ability to work with and devise examples that illustrate basic concepts of the course.
- Students will be able to demonstrate readiness for more advanced study of algebraic structures and other areas of mathematics that use linear algebra.

### Syllabus

Chapter 1: Introduction to Vectors

Chapter 2: Solving Linear Equations

Chapter 3: Vector Spaces and Subspaces

Chapter 4: Orthogonality

Chapter 5: Determinants

Chapter 6: Eigenvalues and Eigenvectors (omit 6.3)

Chapter 7: Single Value Decomposition

Chapter 8: Linear Transformations

Chapter 11: Numerical Linear Algebra (11.2, 11.3)

### Assessment

1. | Homework | 20% |

2. | WeBWorK | 10% |

3. | Tests | 42% |

4. | Final Examination | 28% |

### Test Schedule

Test 1: Wednesday, February 14

Test 2: Wednesday, March 21

Test 3: Wednesday, April 25

Final: Wednesday, May 9, at 8 a.m.