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CENG375(T1+L) -------------------------- CENG375(T2+L) INT2 |
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12:40 14:30 |
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CENG375(T1) A319 |
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CENG375(T2) A319 |
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14:40 16:30 |
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OFFICE HOURS |
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Instructoroffice: Computer Engineering
Department, 329-L |
TA
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Watch this space for the
latest updates. Last updated:
Midterm:
Kerim Akman
Chapter |
Question |
5 |
35,36,38 |
4 |
10,15,34 |
3 |
6,7,17,21,68,69 |
2 |
Study the midterm exam questions |
1 |
Study the midterm exam questions |
you should submit the code via e-mail or flooppy disk as
Compress all files to one file with tar or zip format.
Name this file as yourstudentID.zip
you should also submit your code and your results (tables, plots, comments,...) in paper.
Only sending the code will not be accepted.
Ceng 375 is intended to provide an understanding of the most useful numerical algorithms, an ability to organize problems in a form suitable for such numerical solutions, and an introduction to common computer methods for their implementation. This course is an introduction to numerical analysis. Topics include the analysis of error, the use of computers as numerical computing devices, programming in MATLAB, direct and iterative methods for linear equations, nonlinear equations, interpolation and function approximation, numerical differentiation and integration.
Students will be able to recognize common types of numerical problems encountered in engineering practice as described in the class schedule.
Students will be able to set up a numerical solution for these problems.
Students will be able to select an appropriate method for the solution of these problems.
Students will be able to use an appropriate method to solve these problems.
Students will be able to check the reasonableness and validity of their solution.
There are two groups for lecturing, you may attend any one of the lecture hours but not for the Friday's lecture. Please attend your predefined sessions regularly on Friday. You will be expected to do significant programming assignments, as well as run programs we supply and analyze the output. These programs will be written in MATLAB (it will be easiest to learn), a widely used languge for numerical computing (learning MATLAB is part of the course). For programming assignments, other languages will be accepted; but no programming assistance will be given for such languages (e.g. Fortran, C/C++, and Java).
We require single variable calculus and a knowledge of computer programming. A knowledge of linear algebra and differential equations is also helpful. You should review Taylor's theorem, differential equations, and linear algebra, in particular systems of linear equations. Those of you who do not know how to program will be expected to learn very quickly.
In the beginning of the each Friday's lecture, you will have a quiz (20 minutes, may be less) for the previos lecture's subjects. There won't be any make-up for these quizes and they will have weight for the final grading.
Important announcements will be posted to the Announcements section of this web page above, so please check this page frequently. You are responsible for all such announcements, as well as announcements made in lecture.
Readings will be assigned in Numerical Analysis 7th Edition (International Edition) Curtis Gerald, Patrick Wheatley, ISBN: 032119019X Sep 2003.
Numerical Methods Using Matlab 4th Edition (International Edition) John Mathews, Kurtis Fink, ISBN: 0131911783 Jan 2004.
"Numerical Recipes in Fortran" or "Numerical Recipes in C", Second Edition, W.H. Press, S.A. Teukolsky, W.T. Vetterling, B.P. Flannery, Cambridge University Press, 1992.
This texts are only recommended rather than required. This books are useful for reference, for an alternative point of view.
Online References
Some materials are given. Please inform me about the usefullness of the materials. Check this place for updates.
The following references are available online
Mathtools.net: a technical computing portal for scientific and engineering needs.
There will be a midterm and a final exam, will count 20% and 40% of your grade, respectively.
Quiz: 15% (worst of the quizes will be discarded)
Assignments (or Term Project): 15%
Attendance is required and constitutes part of your course grade; 10%
Attendance is not compulsory, but you are responsible for everything said in class.
I encourage you to ask questions in class. You are supposed to ask questions. Don't guess, ask a question!
You may discuss homework problems with classmates (although it is not to your advantage to do so).
You can use ideas from the literature (with proper citation).
You can use anything from the textbook/notes.
The code you submit must be written completely by you.
The following schedule is tentative; it may be updated later in the semester, so check back here frequently.
Week |
Dates |
Topic |
Lecture Notes Acrobat |
Quizes |
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1 |
Sep 28-30, 2004 |
First Meeting |
NA |
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Oct 1, 2004 |
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2 |
Oct 5-7, 2004 |
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Oct 8, 2004 |
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Oct 12-14, 2004 |
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Oct 15, 2004 |
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Oct 19-21, 2004 |
NA |
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Oct 22, 2004 |
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5 |
Oct 26-28, 2004 |
NA |
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Nov 2-4, 2004 |
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Nov 5, 2004 |
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7 |
Nov 9-11, 2004 |
Midterm Week |
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8 |
Nov 16-18, 2004 |
NA |
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9 |
Nov 23-25, 2004 |
NA |
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Nov 26, 2004 |
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10 |
Nov 30- Dec 2, 2004 |
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Dec 3, 2004 |
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11 |
Dec 7-9, 2004 |
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12 |
Dec 14-16, 2004 |
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13 |
Dec 21-23, 2004 |
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14 |
Dec 28-30, 2004 |
Semester Review |
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MATLAB Hands-On ? |
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solution |
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Exams |
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Nov 9, 2004 13.40-15.40 |
B301/302)-(B304) |
Assignment1 |
Assignment2 |
Assignment3 |
Assignment4 |
Assignment5 |
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Jan 14, 2004 09:40-11:30 |
B301/302-B304 |