Printable version of Syllabus (below are the highlights from the syllabus)
This course will cover solving linear systems using matrices, matrix properties, vector spaces, and limited applications of these topics (ie: chapters 1 through 5 in Lay’s textbook). All assignments and class handouts can be found on the class website in addition to being distributed in class. I expect every student to attend each class and will take attendance.
Bring any questions to class. If we do not have time to go over all the questions at the beginning of class, you can ask me after class, come by my office, email me, or call me.
Late homework will be accepted until the solutions are posted on the class website.
Late work will be graded 20% lower than what you would have gotten on the set; however, there is no guarentee that late work will be graded.
There will be opportunities for extra credit both on the class tests and on the homework.
There will be 4 exams: 3 inclass tests and a final exam. A review for each test
will be held during the class prior to the test.
You must come to me ahead of time to arrange for make-up tests.
If you plan to seek special accommodations (ie: extended time through the Office of Disability Services or accommodations for religious observances), be sure to contact the appropriate department and follow their instructions for obtaining accommodations, including dealing with the related paperwork.
I will not tolerate cheating. While I encourage you to use any and all resources at your disposal to complete homework, I expect that for tests and quizzes your work is entirely your own and that you do not use any unauthorized materials (ie: notes). It is your responsibility to know the student code of integrity and how it applies to this class (ie: look at definition of cheating).
The Code of Academic Integrity
The Code of Student Responsibility
|Aug 20||Introduction & Review |
1.1: Systems of Linear Equations
1.6: Applications of Linear Systems
|Aug 22||1.2: Row Reduction & Echelon Forms|
|Aug 27||1.3: Vector Equations |
1.4: Matrix Equations Ax=b
|Aug 29||1.5: Solutions of Linear Equations|
|Sept 3||1.7: Linear Independence |
Review for Exam 1
|Sept 5||Exam 1|
|Sept 10||1.8: Linear Transformations|
|Sept 12||1.9: Matrices of Linear Transformations |
1.10: Some Linear Models
|Sept 17||2.1: Matrix Operations|
|Sept 19||2.2: The Inverse Matrix|
|Sept 24||2.3: Characterization of Invertible Matrices |
2.4: Partitioned Matrices
|Sept 26||2.5: Matrix Factorization (LU factorization)|
|Oct 1||2.6: Leontief Model |
2.7: Computer Graphics
|Oct 3||3.1: Intro to Determinants |
3.2: Properties of Determinants
|Oct 8||Fall Break - no class|
|Oct 10||Catch Up and Review for Exam 2|
|Oct 15||Exam 2|
|Oct 17||3.2: Properties of Determinants |
|Oct 22||4.1: Vector Spaces & Subspaces|
|Oct 24||4.2: Null Spaces, Column Spaces, & Linear Transformations|
|Oct 29||4.3: Linearly Independent Sets & Bases|
|Oct 31||4.4: Coordinate Systems|
|Nov 5||4.5: Dimension of a Space |
|Nov 7||4.7: Change of Basis|
|Nov 12||5.1: Eigenvectors & Eigenvalues|
|Nov 14||5.2: Characteristic Equation|
|Nov 19||5.3: Diagonalization|
|Nov 21||5.4: Eigenvectors & Linear Transformations |
Review for Exam 3
|Nov 26||Exam 3|
|Nov 28||Thanksgiving Break - no class|
|Dec 3||Catch Up & Review for Final Exam|
|Dec 10||Final Exam 8:00pm to 10:30pm|