Text: Linear Algebra and its Applications, 4th Ed., by David Lay, Addison-Wesley, 2012.

This course will cover most of the sections from chapters 1 through 5 from the textbook. Your grade for this course will be based on weekly quizzes, two midterm exams, and a comprehensive final exam in the following manner:

           25%, weekly quizzes,
           45%, two midterm exams,
           30%, final exam.

           Exam 1    Wednesday, February 22
           Exam 2    Wednesday, April 11
           Final     Final exam week.

Each Monday we will spend 15 or 20 minutes of class time on problem sessions, where we go over solutions to some of the homework problems. The rest of the time will be devoted to going over new material from the textbook. On Wednesday we will spend 25 or 30 minutes on the problem session, then 15 minutes for the quiz, and the rest of the time going over new material. We will be covering two or three sections from the book each week.

There will be homework problems assigned in class but the homework will not be collected. However, the quizzes will be closely based on the assigned homework problems and so the best way to prepare for each quiz is to do the homework.

Some of the homework problems for this course may be done using a computer program called MATLAB. The name MATLAB is an abbreviation of "Matrix Laboratory" and it is a computer program designed for doing the kind of linear algebra calculations that arise often in engineering and mathematics. You can get access to the MATLAB program in the Math Computer Lab in CLO 363. If you have any questions about using MATLAB, please come and ask me.

This web site will be used to distribute reading assignments, class announcements, information about MATLAB, and some supplementary material that will be mentioned in class, plus it contains links to some MATLAB and linear algebra sites on the Internet that you might find interesting or useful.

The final grades for this course will use a plus and minus grading system. The possible grades for this course, and a tentative grading scale for the grades, is given in the table below. The final grading scale that I use may not quite be the same as the one given below (the grade cutoffs might possibly be lower, but they will not be any higher than what is given in this table).

The learning objectives for this course are as follows.

1. Facility with the following calculations: row reduction, matrix multiplication, matrix inversion, determinants, eigenvalues and eigenvectors.
2. Solve systems of linear equations and give geometric explanations of the solutions in the case of dimensions 2 and 3.
3. Give algebraic and geometric explanations of linear independence and dependence, spanning, basis and subspaces.
4. Understand linearity and matrices as examples of linear transformations, give algebraic and geometric explanations of kernel and range.

If you are a student with a documented disability who will require academic/classroom accommodations in this course, please register with the Coordinator of Services for Students with Disabilities in the Student Support Services Office located in the Student Union and Library Building (SUL), Room 341, phone numbers: 219-989-2455, 219-989-2454(voice/TTY) or 219-989-2920.

Ethics are an integral part of being a student and a professional. Academic integrity is the hallmark of this University. Therefore, Purdue University does not tolerate academic dishonesty in any form. If a student breaches integrity, the student risks sanctions in both the academic and conduct arenas. Academic dishonesty includes, but is not limited to, the unauthorized use of other's intellectual property (plagiarism), and lying to an instructor or any University employee. Such actions WILL result in a failing grade on the assignment with the strong possibility of referral to the Office of the Dean of Students for a conduct sanction (see the Purdue University Calumet Student Handbook available from the Dean of Students office and the Dean of Students web site).