Course Description
Linear systems, matrices, determinants, eigenvalues and eigenvectors, finite-dimensional vector spaces, linear transformations. Prerequisite: Grade of C or better in MAT 196 or MAT 253 or MAT 292.
Syllabus
Student Learning Outcomes, Goals, Objectives:
Students successfully completing this course will be able:
- Define basic terms associated with Linear Algebra, such as linear systems, linear transformations, matrices, linear independence, dimension, rank, null space, basis, vector space, eigenvalues/eigenvectors and orthogonality;
- Give examples of spaces, linear maps or matrices exhibiting properties outlined in SLO 1 in addition to examples of diagonal matrices, invertible matrices, change of bases, and other topics;
- Explain definitions and give precise statements of important theorems of Linear Algebra;
- Construct and defend coherent mathematical proofs of statements in Linear Algebra based on definitions and previous theorems.
Course Grading Information:
| Activity/Performance Measure | Percentage/Points |
|---|---|
| Exams | 60 points |
| Quizzes | 5 points |
| Computational Assignments | 25 points |
| Proof Assignments | 10 points |
Grading Scale:
| Percentage | Letter Grade |
|---|---|
| 93% | A |
| 90% | A- |
| 87% | B+ |
| 83% | B |
| 80% | B- |
| 77% | C+ |
| 73% | C |
| 70% | C- |
| 67% | D+ |
| 63% | D |
| 60% | D- |
| 0% | F |
Attendance/Participation:
Attendance will not be taken. Students are encouraged to attend all lectures.
Course Materials Purchased by the Students:
No course materials are required.
Scholarly Perspectives
This course engages diverse scholarly perspectives to develop critical thinking, analysis, and debate and inclusion of a reading does not imply endorsement.