Many social, political, economic, biological, and physical phenomena can be described, at least approximately, by linear relations. In the study of systems of linear equations one may ask: When does a solution exist? When is it unique? How does one find it? How can one interpret it geometrically? This course develops the theoretical structure underlying answers to these and other questions and includes the study of matrices, vector spaces, linear independence and bases, linear transformations, determinants and inner products. Course work is balanced between theoretical and computational, with attention to improving mathematical style and sophistication. Format: lecture. Evaluation will be based primarily on homework and exams. Prerequisites: Mathematics 105 or 209 or 210 or 251, or Statistics 201. No enrollment limit (expected: 35-70).

Hour: First Semester: DEVADOSS, PACELLI Second Semester: O. BEAVER