Instructor: Dr. A. Kharab, Ph.D.
Office: Room 303 BLD 5
Office Hours: SMW 10:00-10:50 am,
Telephone: My office 860-2661
Classroom: (see Schedule)
Text: Numerical Methods
Supplementary Software: MATLAB, The Math works, Inc.
of the course: The subject of Numerical Analysis is the
computation of approximate solutions to mathematical problems, usually by means
of a computer. It includes finding a suitable method to solve a given problem as
well as analyzing the possible error of the computed solution. The main
objectives are as follows:
|The course will enable students to obtain an intuitive and working
understanding of the numerical methods introduced during the course. This
includes being able to choose a suitable method, and to implement it on a
methods we will discuss come from chapters 2-10 in the textbook. |
|Gain some appreciation
of the concept of error and the need to analyze and predict it. This
includes an appreciation of computer arithmetic and its effects.|
| Master certain
mathematical techniques which are needed for understanding the methods and
the analysis of errors. |
programming skills and gain a working knowledge of MATLAB, a modern
interactive programming environment. |
MATLAB. The programming language for this course is MATLAB. Chapter 1 of the text
provides an introduction. If you do not already know MATLAB, please work
through chapters 1 during the first two weeks of classes. There are
several ways of access to MATLAB:
Materials: Course materials.
Be sure to check the Lecture Schedule.
Math Prerequisites: Math 202, ICS 101.
Computer Prerequisites: A structured programming course such as BASIC, C, FORTRAN, Java or Pascal.
Reading: You are to read ahead in the textbook each day and be familiar with the new vocabulary and new material before they are covered in the lecture and computer lab.
Course Homework: Homework will be assigned occasionally.
Computer Projects: Computer projects will be required.
Collaboration: Find at least one classmate with whom you can study. A support group is important.
Attendance: Your presence matters. Arrive to class on time! Let me know if you cannot attend a class. I will inform you of the topic covered and explain to you how to study them on your own.