Mathematics Department - Math 250 - Introductory Linear Algebra

Math 250 - Introductory Linear Algebra



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 three-dimensional Euclidean space, vector spaces, introduction to eigenvalues and eigenvectors. Possible additional topics: systems of linear inequalities and systems of differential equations.



Textbook


Spence, Insel, & Friedberg: Elementary Linear Algebra: A Matrix Approach, 2nd Edition ,   Prentice-Hall   (ISBN # 978-0-13-187141-0).

The authors of the textbook also have a companion   web site containing supplementary material, including multiple choice tests covering the topics in the course. Students can take these tests on-line and have graded results of each test e-mailed to themselves (and their instructors, if desired).



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 mid-term 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.



Schedule Archives

Summer 2013 Schedule

InstructorIndex Section Day(s)/
Period
Time Room
(click for map)
Campus Session Dates
90653 B1 MTWH10:10A-12:05ARC-105 BUS 1 5/28-7/5
92747 B2 MTWH10:10A-12:05FH-B3 CAC 1 5/28-7/5
90077 B6 MWF6:00P-8:45SEC-211 BUS 1 5/28-7/5
90078 E1 MTWH10:20A-12:10MI-100 CAC 2 6/24-8/01
90079 E6 MWF6:00P-8:45RAB-110A C/D 2 6/24-8/01


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


Previous Semesters


Back to Math Department Main Course Page



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