Applied Linear Algebra

Course Code:

Credit Hours:

Effective beginning:



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:

Students only need access to MyLab Math:
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.


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