MATH369 Linear Algebra, Spring 2009, Section 2, Noon
Introduction to Linear Algebra: linear equations, matrices, determinants, Euclidean space, dot product, abstract vector spaces, basis and linear independence, linear maps, eigenvalues, eigenvectors, base change, orthogonality, Gram-Schmidt, applications.
Instructor: Anton Betten, room 207, Weber building.
Email lastname at math dot colostate dot edu
Course website: http://www.math.colostate.edu/ betten/courses/MATH369/SP09/369_syllabus.html http://www.math.colostate.edu/ betten/courses/MATH369/SP09/369_syllabus.html
Class: M W F Noon - 1pm, ENGRG E 104
Text: Steven J. Leon, Linear Algebra with Applications, ISBN 0-13-185785-1
Homework: 10 assignments. Due Wednesdays. Precise due dates:
HW1 is due 1/28,
HW2 is due 2/4,
HW3 is due 2/11,
HW4 is due 2/25,
HW5 is due 3/4,
HW6 is due 3/11,
HW7 is due 4/1,
HW8 is due 4/8,
HW9 is due 4/15,
HW10 is due 4/29.
no late homework is accepted
Quizzes: the even weeks unless there is a midterm (1/30, 2/27, 4/3, 5/1)
Office hours: Monday, Wednesday 10:30-11:30.
Extra office hours by Dr. Painter: Monday 2-4, Tuesday 10-12.
Midterm 1: week 4, i.e. 2/11
Midterm 2: week 8, i.e. 3/11
Midterm 3: week 12, i.e. 4/15
Final: Monday 7am during finals week in the classroom. Calculators OK.
HW+QUIZZES = 100, each Midterm = 100, Final = 200. Total 600.
greater or equal 540 = A,
greater or equal 480 = B,
greater or equal 420 = C,
greater or equal 360 = D.
We grade one hw problem each week (at random), worth 10 points. The HW grades count to a maximum of 60. Each Quiz is worth 15 points. The Quizzes count to a maximum of 40.
Weeks 1-4: Linear systems, homogeneous/inhomogeneous systems, REF and RREF, matrix algebra, complex numbers as 2 by 2 matrices, matrix product, transposed matrix, dot poduct, inverse matrix, determinants of 2 by 2 matrices, regular vs. singular matrices, elementary matrices, inverse matrix, LU decomposition, abstract vector spaces, polynomials.
Weeks 5-8: Determinants, more on vector spaces, infinite dimensional spaces, vector space of sequences, function spaces, Euclidean space, length and angle, span, sum, subspace, linear dependence and independence, bases, dimension, matrices and linear maps, range, kernel, isometries in Euclidean space, rotation and reflection.
Weeks 9-12: invariant subspaces, characteristic polynomial, eigenvalues, eigenvectors, base change.
Weeks 13-15: inner product spaces, orthogonality, orthonormal bases, orthogonal projection, Gram-Schmidt, QR decomposition, least squares, permutations, even and odd, determinants (Laplace).
File translated from
On 11 May 2009, 15:28.