Listed in: Mathematics and Statistics, as MATH-271
Ryan J. Alvarado (Section 01)
Daniel W. van Wyk (Section 02)
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. MATH 271 will feature both proofs and applications, with special attention paid to the theoretical development of the subject. Four class meetings per week.
Requisite: MATH 211 or 220, or consent of the instructor. This course and MATH 272 may not both be taken for credit. Limited to 25 students. Fall and spring semesters. 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 take-home quizzes or exams.
M 10:00 AM - 10:50 AM SMUD 014
W 10:00 AM - 10:50 AM SMUD 014
F 10:00 AM - 10:50 AM SMUD 014
M 01:00 PM - 01:50 PM SMUD 206
W 01:00 PM - 01:50 PM SMUD 206
F 01:00 PM - 01:50 PM SMUD 206