This course presents the fundamental concepts and applications of linear algebra with emphasis on Euclidean space. Significant goals of the course are that the student develop the ability to perform meaningful computations and to write accurate proofs. Topics include bases, subspaces, dimension, determinants, characteristic polynomials, eigenvalues, eigenvectors, and especially matrix representations of linear transformations and change of basis. Applications may be drawn from areas such as optimization, statistics, biology, physics, and signal processing.
Lectures: |
M, W, F: 1:45pm - 2:50pm |
Kemeny 007 |
Tutorial: |
Su, Tu, Th: 7:00pm - 9:00pm |
Kemeny 008 |
Office Hours: |
Monday, 4:00pm - 5:00pm |
Tuesday, 2:00pm - 3:00pm | |
Friday, 9:00am - 10:00am |
TA: |
Michael Musty |
Assignment 1 |
Assignment 2 |
Assignment 3 |
Assignment 4 |
Assignment 5 |
Assignment 6 |
Assignment 7 |
Assignment 8 |
Assignment 9 |
Exam 1: Wednesday, April 20
Exam 2: Wednesday, May 11
Final Exam: Thursday, June 2
Linear Algebra and its Applications, 4th Edition
David C. Lay
Homework | 15% |
Exam 1 | 25% |
Exam 2 | 25% |
Final Exam | 35% |