MAS3105

## Applied Linear Algebra

Course Code:
MAS3105

Credit Hours:
3

Effective beginning:
2023-24

Sections:
000

Course Description:
This course provides a thorough treatment of linear algebra using a matrix-oriented approach. Major topics include: matrices, systems of linear equations, linear transformations, determinants, eigenvectors and eigenvalues, vector spaces and subspaces, inner product spaces, and orthogonality.

### Course Details

MAC 2312

As assigned

##### Required textbooks/ course materials:

MyLab Math with Pearson eText – Instant Access – for Linear Algebra and its Applications, 6th ed., (18-weeks)
Textbook ISBN: 9780135851159; TI-84 graphing calculator

##### Assignment/course outline:

See first-day handout.

##### Discipline-level learning outcomes:

E – 1  Demonstrate understanding of instructional design and lesson planning by applying concepts from human development and learning theories.

E – 2  Demonstrate ability to maintain a student-centered learning environment that is safe, organized, equitable, flexible, inclusive and collaborative.

E – 3  Demonstrate effective instructional delivery and facilitation by utilizing deep and comprehensive knowledge of core content.

E – 4  Demonstrate understanding of assessment by analyzing and applying data from multiple assessments to diagnose learning needs and inform instruction.

E – 5  Demonstrate continuous improvement by designing purposeful goals to strengthen instructional effectiveness and impact student learning.

E – 6   Demonstrates professional responsibility and ethical conduct and fulfills expected obligations to students, the public, and the education profession.

MAS 3105 is not a General Education core course.

##### Course-level learning outcomes:

Course-level student learning outcomesDiscipline-level learning outcomesAssessment methods
• Perform operations with vectors and matrices
• Solve systems of linear equations
• Identify linearaly dependent and linearly independent sets
• Find the matrix of a transformation
• Fetermine if a transformation is linear
• fFnd the eigenvectors and eigenvalues of a matrix
• Folve problems involving vector spaces and subspaces
• Formulate proofs using linear algebra concepts
• Solve appliation problems using linear algebra

Tests, Homework, Problem-Solving

##### Means of accomplishing learning outcomes:

The students will practice solving problems and make several presentations during class periods.

### College-wide policies and resources

For more specific information on Chipola's college-wide academic policies and resources available to students, visit the link below.

Chipola College
3094 Indian Circle
Marianna, FL 32446
850.526.2761