General Information (Catalog listing)
01:640:250 INTRODUCTORY LINEAR ALGEBRA (3)
Prerequisite: CALC2 or 01:640:136 or 138.
Systems of linear equations, Gaussian elimination, matrices and determinants, vectors in two and threedimensional Euclidean space, vector spaces, introduction to eigenvalues and eigenvectors. Possible additional topics: systems of linear inequalities and systems of differential equations.
Updated description
Vectors in nspace, systems of linear equations, Gaussian elimination, span and linear independence of a set of vectors, matrix algebra, determinants, subspaces of nspace, basis and dimension, eigenvalues and eigenvectors, diagonalization of a matrix, geometry of vectors, projections, orthogonal sets of vectors, symmetric matrices, and applications.
(current, 2014)
Textbook
Spence, Insel, & Friedberg: Elementary Linear Algebra: A Matrix Approach, 2nd Edition , PrenticeHall (ISBN # 9780131871410).
Course Materials
 suggested syllabus (PDF Format) (plain TeX file)
 suggested homework problems (PDF Format) (plain TeX file)
 Information about Math 250C (MATLAB sections)
 The details and pace of the syllabus and the timing of the midterm exams will vary from section to section. Each section has its own midterm and final exams. The final exam times are determined from the class meeting hour. See Final exam schedule for details.
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Spring 2015 Schedule
Matlab Assignments for Math 250C
 Lab 1: Matrix and Vector Computations in MATLAB
 Lab 2: Linear Equations and Matrix Algebra
 Lab 3: LU Decomposition and Determinants
 Lab 4: General Solution to Ax = b
 Lab 5: Eigenvalues and Eigenvectors
 Lab 6: Orthonormal Bases, Orthogonal Projections, and Least Squares
Sample Exams and Video Lectures
Linear Algebra and MATLAB
 MATLAB Tutorial (from M.I.T.)
 MATLAB Teaching Codes: directory and files zip file

ATLAST Project Home Page
 Other Web Resources for MATLAB
Back to Math Department Main Course Page
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Information posted prior to the beginning of the semester is frequently tentative, or based on previous semesters. Textbooks should not be purchased until confirmed with the instructor. For generally reliable textbook information—with the exception of sections with an alphabetic code like H1 or T1, and topics courses (197,395,495)—see the textbook list.