1. Welcome to Numerical Analysis Math 448/548 Cpt S 430/530 Fall 2015 Instructor: John Miller, West 134E jhmiller@tricity.wsu.edu Class web page can be found at http://users.tricity.wsu.edu/~jhmiller

2. Objectives: To present the mathematical basis for methods of numerical analysis To introduce students to MATLAB as a software package for numerical analysis Textbook: “Numerical Mathematics and Computing” 6th Edition by Cheney and Kincaid Course content: Chapter 3: Locating zeros of a function Chapters 5&6: Numerical integration Chapters 10&11: Systems of ordinary differential equations Chapter 2: Floating-point representation and errors Chapter 7: Systems of linear equations Chapter 8: Eigenvalues Chapter 9: Spline functions Chapter 12: Smoothing data and method of least squares Final exam

3. Lean by doing: Code development will be part of lectures. Students are expected to participate and share work. Required assignments: Students will be assigned problems to be solved by writing MATLAB codes Prior approval is required for late submission. Full credit on resubmissions until tested on subject matter. 50% credit thereafter. Criteria for student evaluation: homework 34%, quizzes 33%, final exam 33%. Tests will include applications of codes developed in class and in homework assignments. 500-level students must define a project (subject to approval by the instructor) that involves numerical analysis and write a report that describes the numerical method, code developed, and results obtained. Project reports are due on the on the last class period.

4. IMPORTANT: Per new WSU policy effective August 24, I will ONLY be able to respond to emails sent from your WSU email address. I will NOT be able to respond to emails sent from your personal email address as of the first day of fall semester. Effective the 24th, the IT Department will switch the “preferred” email address in your myWSU to your WSU email address. More nuts and bolts

5. Accommodations for Disabled Students: Reasonable accommodations are available for students who have a documented disability. If you have a documented disability, even temporary, make an appointment as soon as possible with the Disability Services Coordinator, Cherish Tijerina, 372-7352, ctijerina@tricity.wsu.eductijerina@tricity.wsu.edu You will need to provide your instructor with the appropriate classroom accommodation form. The forms should be completed and submitted during the first week of class. Late notification may delay your accommodations. All accommodations for disabilities must be approved through Disability Services. Classroom accommodation forms are available through the Disability Services Office. More nuts and bolts

6. Academic Integrity: As stated in the WSU Tri-Cities Student Handbook," any member of the University community who witnesses an apparent act of academic dishonesty shall report the act either to the instructor responsible for the course or activity or to the Office of Student Affairs." The Handbook defines academic dishonesty to include "cheating, falsification, fabrication, multiple submission [e.g., submitting the same or slightly revised paper or oral report to different courses as a new piece of work], plagiarism, abuse of academic material, complicity, or misconduct in research." Infractions will be addressed according to procedures specified in the Handbook. More nuts and bolts

7. Course content: Chapter 3: Locating zeros of a function Chapters 5&6: Numerical integration Chapters 10&11: Systems of ordinary differential equations Chapter 2: Floating-point representation and errors Chapter 7: Systems of linear equations Chapter 8: Eigenvalues Chapter 9: Spline functions Chapter 12: Smoothing data and method of least square Matlab knows all Matlab has built-in function calls for all of these numerical methods You can use these to test results of the codes you write

8. Course content: Chapter 3: Locating zeros of a function Chapters 5&6: Numerical integration Chapters 10&11: Systems of ordinary differential equations Chapter 2: Floating-point representation and errors Chapter 7: Systems of linear equations Chapter 8: Eigenvalues Chapter 9: Spline functions Chapter 12: Smoothing data and method of least square Google knows all You can probably find home-grown MatLab codes for all these methods by an internet search. I will ask you to hand-in the MatLab codes you used on homework and tests. I expect these codes to be primarily your personal work.