Math 309

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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 Mondays, Wednesdays, and Friday, 9:009:50AM, in Simon Hall, room 1.
Text. The lectures will follow Lay, Linear Algebra and its Applications, fifth edition, Pearson, 2016.
Homework. Assignments will be posted online on WeBWorK. Expect two or three short assigments per week. Access this site via Canvas using your WUSTLConnect ID, under the "Assignments" heading for this course.
Quizzes. Short handgraded tests will be assigned for every two weeks of material. These will be available and should be completed on CrowdMark. We expect that each quiz will take less than 2 hours to complete and you will have at least 24 hours before it is due.
Quiz assignments:

Tests. These will be takehome, administered on CrowdMark. There will be two midterm examinations, the first one due by 11:59pm on October 20th, 2020(Midterm 1 with solutions) and the second one due by 11:59pm on Tuesday, November 24th, 2020(Midterm 2 with solutions). There will be a cumulative final examination that will emphasize later course material. It will be due by 11:01 pm on Monday, January 4th, 2021 but will be published at least 7 days beforehand.
Grading. One grade will be assigned for homework (3 lowest
scores dropped), one for
the quizzes (best 5 of 6 scores), one for the
midterm examinations (both will count, equally), and one for
the final examination. These
three will contribute as follows to the course grade: HW 40%, Quizzes
30%, Midterms 20%, Final 10%.
Letter grades, computed from the course score,
will be at least the following:
Course score at least:  90%  80%  70%  50% 

Letter grade at least:  A  B  C  D 
Computing. Students are encouraged to use computers for both symbolic and numerical computations.
Octave and MATLAB are two very similar computer applications for matrix algebra calculations. They use the same language and perform the same functions.
Octave is free, open source software. Installers for various computers are at these URLs:
Any recent version will do.Any recent version of MATLAB may also be used. Wash U students have access to MATLAB at this portal.
Office Hours. On Zoom only, MWF 10:30amNoon Central Time, or by
appointment.
Zoom invitations were sent Wed., Sep 10th by email
to all registered students. Email me if you didn't get one or if
you are free none of these times.