Topics. Theory of matrices and vector spaces from a concrete, computational point of view. Topics include row reduction (pivotal method), rank and dimension, determinants, eigenvalues and eigenvectors, diagonalization of symmetric matrices. Some related computational computer software may be used.
Prerequisites. Math 132
Time. Classes meet Tuesdays and Thursdays, 10:00 am to 11:30 am, in Eads Hall, Room 203.
Text. The lectures will follow Steven J. Leon, Linear Algebra with Applications, sixth edition, Prentice Hall, 2002.
Homework. You are encouraged to collaborate on homework and to work additional exercises from the indicated problem sections, although the homework grade will be based only on the exercises listed below. Please return your solutions to the instructor by the end of class. Problem sets will be assigned as follows:
Tests. There will be one midterm examination in class on Thursday, March 13, 2002. There will be one cumulative final examination emphasizing the remaining material on Tuesday, May 6, 2002, from 3:30 pm to 5:30 pm.
Grading. One score will be assigned for homework, one for the midterm examination, and one for the final examination. These three will contribute in respective shares of 40%, 20%, and 40% to the course score. Letter grades will be computed from the course score, with the class score average granted a C and grade spacings equal to the class score standard deviation. Students taking the Cr/NCr or P/F options will need a grade of D or better to pass.
Computing. Students are encouraged to use MATLAB and the computers available in the Arts and Sciences Computing Center for both symbolic and numerical computations.
Office Hours. Wednesdays and Thursdays 2-3pm, or by appointment.