A1 Meets MWF 9am - 10am, A2 W 11am-12am
B1 meets TR 9.30am-11am, B2 M 10am-11am
Instructor: Alexander Levichev, MCS 168, tel.3-1483 (e-mail is more reliable), office hrs or by appointment
E-mail: levit@math.bu.edu
get to http://math.bu.edu/people/levit for an info about the Instructor as well as for the course updates
To read and to understand the content of respective sections is part of each and every HW assignement
Homework is assigned on a regular basis. It is not collected but you are welcome to turn (part of) it (you'll get it back with my comments which might be helpful as part of your tests' preparation).
There is a quiz, two in-class tests, and a Final.
Grading policy: attendance=1 unit; quiz = 1, two tests (two units each); Final=4 units. The lowest from these 10 grades will be dropped. The average of the remaining nine will determine the grade for the class.
The students have the responsibility to know the provisions of the CAS Academic Conduct Code, copies of which are available in CAS 105. Cases of suspected academic misconduct will be referred to the Dean's Office. Only documented reasons for a missed quiz, test, or lecture might be taken into consideration.
View your GRADES on-line. From within the CourseInfo site, students should select Student Tools>Check Your Grade
THE CURRENT LECTURER DID NOT KNOW UNTIL DEC 25, that there are TWO BOOKS. My presentation will be based on the 3d edition update, subtitled TEXT. Those of you who have already purchased the 3d edition update subtitled W/CD - just stay with it.
The course covers chapters 1 through 7 (most parts of) from "Linear Algebra and Its Applications" by D. Lay, 3d edition, ISBN 0-321-28713-4. This includes
Chapter 1(Linear Equations): systems of linear equations, row reduction and echelon forms, solution sets, linear independence, introduction to linear transformations.
Chapter 2(Matrix Algebra): matrix operations, finding an inverse, partitioned matrices.
Chapter 3(Determinants): determinants and their properties, cofactor expansion, more on linear transformations, applications.
Chapter 4 (Vector Spaces): subspaces, null spaces, column spaces, linear transformations, linear independence, coordinate systems, basis and dimension, rank of a matrix, change of basis.
Chapter 5 (Eigenvalues and Eigenvectors): eigenvalues and eigenvectors, diagonalization, more on linear transformations, complex eigenvalues.
Chapter 6 (Orthogonality and Least-Squares): inner product, length, and orthogonality, orthogonal projections, the Gram-Schmidt process, inner product spaces.
Chapter 7 (Symmetric Matrices and Quadratic Forms): diagonalization of symmetric matrices, quadratic forms.