Course Syllabus

MA4610 – Numerical Linear Algebra

College of Science and Arts

Spring 2014

Instructor Information

Instructor: Allan Struthers, PhD, Professor

Office Location: 212 Fisher Hall

Telephone: Office – (906)-487-3541

E-mail:

Office Hours: M 11am–noon, T/Th 8-9am, F 9-10am

Course Identification

Course Number: MA4610-R01

Course Name: Numerical Linear Algebra

Course Location: 330 Fisher Hall

Class Times: MWF 8:05–8:55pm

Pre-Requisites: MA 2320 or MA 2321 or MA 2330

Course Description/Overview

Derivation and analysis of algorithms for problems in linear algebra. Covers floating point arithmetic, condition numbers, error analysis; solution of linear systems (direct and interative methods), eigenvalue problems, least squares, singular value decomposition. Includes a review of elementary linear algebra and the use of appropriate software.

Course Learning Objectives

Our goals are to:

1.  Understand linear algebra algorithms.

2.  Implement linear algebra algorithms.

Course Resources

Course Website(s)
  • Canvas http://www.courses.mtu.edu
  • Personal Website http://www.mtu.edu/struther

·  A shared google drive and mailing list MA4610_Spring2014. Ask to be added to the email list and drive.

Required Course Text

·  Scientific Computing: An Introductory Survey, 2nd Edition, Michael T. Heath (McGraw-Hill, 2002)

Course Fees

None

Course Supplies

None

Grading Scheme

Grading System
Letter Grade / Percentage / Grade points/credit / Rating
A / 90% above / 4.00 / Excellent
AB / 85% – 90% / 3.50 / Very good
B / 80% – 85% / 3.00 / Good
BC / 75% – 80% / 2.50 / Above average
C / 70% – 75% / 2.00 / Average
CD / 65% – 70% / 1.50 / Below average
D / 60% - 65% / 1.00 / Inferior
F / 60% and below / 0.00 / Failure
I / Incomplete; given only when a student is unable to complete a segment of the course because of circumstances beyond the student’s control.
X / Conditional, with no grade points per credit; given only when the student is at fault in failing to complete a minor segment of a course, but in the judgment of the instructor does not need to repeat the course. It must be made up by the close of the next semester or the grade becomes a failure (F). A (X) grade is computed into the grade point average as a (F) grade.
Grading Policy

Grades will be based on the following:

Homework / 25
Exam 1 / 25
Exam 2 / 25
Projects / 25
Total Points / 100
Late Assignments

Late HW and projects will not be accepted.

Course Policies

You are expected to attend class and participate. Projects are group projects with all group members get the same grade for a project. You are expected to collaborate on projects. It is perfectly appropriate and desirable for you to pool your expertise and skills. Please tell me if someone is not pulling their weight in a project and I will intervene.

Collaboration/Plagiarism Rules

If you find an existing implementation of or useful material for a project you must cite it.

University Policies

Student work products (exams, essays, projects, etc.) may be used for purposes of university, program, or course assessment. All work used for assessment purposes will not include any individual student identification.

Michigan Tech has standard policies on academic misconduct and complies
with all federal and state laws and regulations regardingdiscrimination, including the Americans with Disabilities Act of 1990. For more information aboutreasonable accommodation for or equal access to education or services at MichiganTech, please call the Dean of Students Office, at(906) 487- 2212or go to
http://www.mtu.edu/provost/faculty-resources/syllabus-policies/

Course Schedule

We will simply be working through the text. Important dates follow.

Jan 20 MLK Day

Jan 31 Last day to drop full semester courses without a grade appearing on the academic record - No Refund

Feb 5th 10pm Winter Carnival Starts

Mar 7th 10pm Spring Break Starts

Mar 28 Last day to drop full semester courses with a grade of 'W

April 25 Last Day of Class.