— Applied Linear Algebra

Prerequisites & course information

This version has ended; see updated course, below. Course Description: Applications of linear algebra; LU and QR matrix factorizations, eigenvalue and singular value matrix decompositions. Learning Activities: Lecture 3 hour(s), Extensive Problem Solving. Grade Mode: Letter. General Education: Science & Engineering (SE); Quantitative Literacy (QL). MAT 167 — Applied Linear Algebra (4 units) Course Description: Applications of linear algebra; LU and QR matrix factorizations, eigenvalue and singular value matrix decompositions. Prerequisite(s): MAT 022A or MAT 027A or BIS 027A or MAT 067 . Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Pass One open to Applied Mathematics, Mathematics, Mathematics & Scientific Computation, Mathematical Analytics & Operations Research, Statistics, and Data Science majors. Grade Mode: Letter. General Education: Science & Engineering (SE). This course version is effective from, and including: Winter Quarter 2027. Learning Activities: Lecture 3 hour(s), Extensive Problem Solving. Grade Mode: Letter. General Education: Science & Engineering (SE); Quantitative Literacy (QL). MAT 167 — Applied Linear Algebra (4 units) Course Description: Applications of linear algebra; LU and QR matrix factorizations, eigenvalue and singular value matrix decompositions. Prerequisite(s): MAT 022A or MAT 027A or BIS 027A or MAT 067 . Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Pass One open to Applied Mathematics, Mathematics, Mathematics & Scientific Computation, Mathematical Analytics & Operations Research, Statistics, and Data Science majors. Grade Mode: Letter. General Education: Science & Engineering (SE). This course version is effective from, and including: Winter Quarter 2027.