Numerical Analysis - MATH 301 - Fall 2005
Instructor: Dr. Xiaoliang Zhu (
Office Hours: by appointments
Lectures:
Homework Assignments: HW 1
Lecture Notes: Lecture 1 Lecture 2
Required Textbook:
R. L. Burden and J. D. Faires, Numerical Analysis, 8th edition.
Course web page: http://aurora.wells.edu/~xzhu/math301/math301.html
Course description:
This course covers the first 5 chapters of Burden and Faires, mainly numerical solutions for nonlinear algebraic equations, polynomial interpolation, numerical differentiation and integration, and numerical solution of ordinary differential equations. Although the emphasis will be in applications, students are expected to understand the theoretical background. MatLab is the chosen programming language.
Course objectives:
Students should be able to master methods for numerically solving a wide variety of mathematical problems for which analytic solutions are unavailable. Students are also expected to evaluate the applicability, reliability and efficiency of algorithmic processes.
Prerequisite: MATH
112, PHYS 111L, and a 200-level MPS course, or permission of instructor.
Resources:
For those of you unfamiliar with MatLab, you may want to check the website A practical Introduction to Matlab, a pdf documentation, or a documentation at the MathWorks homepage. There are also a few MatLab books available in my office.
Projects:
Homework:
To be handed in at the beginning of Thursday lecture meeting. Please be sure that your work is legible. No late homework will be accepted. You may work cooperatively on assignments provided
Grading:
Homework counts 30%, the midterm 30% and the final exam 40%.
Attendance and absence :
You are responsible for the material covered in class, whether you attend or not. You are also responsible for the announcements made during class; these may include changes in the syllabus. If you miss a class, make sure you get the notes from someone else who attended it. The professor will not assist any absentee to find out what happened in his/her absence. Hard work and regular attendance help to get you through this course.
Academic honesty is fundamental to the activities and principles of the College. Any effort to gain an advantage not given to all students is dishonest whether or not the effort is successful. When in doubt about plagiarism or collaboration, consult the course instructor. The academic community regards academic dishonesty as an extremely serious matter, with serious consequences that range from probation to expulsion.