Listed in: Mathematics and Statistics, as MATH-272
Katherine E. Moore (Section 01)
The study of vector spaces over the real and complex numbers, introducing the concepts of subspace, linear independence, basis, and dimension; systems of linear equations and their solution by Gaussian elimination; matrix operations; linear transformations and their representations by matrices; eigenvalues and eigenvectors; and inner product spaces. This course will feature both proofs and applications, with special attention paid to applied topics such as least squares and singular value decomposition. Four class hours per week, with occasional in-class computer labs.
Requisite: MATH 211 or 220, or consent of the instructor. This course and MATH 271 may not both be taken for credit. Limited to 25 students. Fall and Spring semester: The Department.
How to handle overenrollment: Preference is given to sophomores, and to students for whom Linear Algebra contributes to their major. Students may be moved to another section that fits their course schedule.
Students who enroll in this course will likely encounter and be expected to engage in the following intellectual skills, modes of learning, and assessment: Problem sets, In-class group work, In-class quizzes or exams, Use of computational software.
M 11:00 AM - 11:50 AM SMUD 207
W 11:00 AM - 11:50 AM SMUD 207
F 11:00 AM - 11:50 AM SMUD 207