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8:40 10:30 |
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CENG 375(L2) INT1 |
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10:40 12:30 |
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CENG 375(L4) INT3 |
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12:40 14:30 |
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CENG 375(T2) B301 |
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14:40 16:30 |
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CENG 375(T1) B308 |
CENG 375(L3) INT1 |
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16:40 18:30 |
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Instructoroffice: Computer Engineering
Department, A318 |
TA
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Watch this space for
the latest updates. Last updated:
Dogus Tunga Atasoy - Midterm
Yasar Deniz Gokyer - Midterm
Zeynep Kaya - Final
Sevil Arslan
Hakan Altiaylik
Compressed all files to one file with tar or zip format
Name this file as “yourstudentID.zip/tar/rar/tgz/gz” otherwise your code will not be evaluated.
you should also submit your code and your results (tables, plots, comments,...) in paper.
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.
You will have quizes (15 minutes, may be less; but not scheduled as before) 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 Computing with Matlab Cleve B. Moler, ISBN: 0898715601 January 1, 2004.
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.
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 |
Grades |
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Lectures |
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1 |
Sep 25-27, 2007 |
First Meeting |
NA |
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Sep 24, 2007 |
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2 |
Oct 2-4, 2006 |
NA |
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Oct 1, 2007 |
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3 |
Oct 9-11, 2007 |
NA |
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Oct 8, 2007 |
MATLAB Hands-On Ramadan Holiday October 11-14, 2007 |
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4 |
Oct 16-18, 2007 |
NA |
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Oct 15, 2007 |
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5 |
Oct 23-25, 2007 |
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Oct 22, 2007 |
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6 |
Oct 30-Nov 1, 2007 |
NA |
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Oct 29 3, 2007 |
MATLAB Hands-On National Holiday October 29, 2007 |
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7 |
Nov 6-8, 2007 |
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Nov 5, 2007 |
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8 |
Nov 13-15, 2007 |
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Nov 12, 2007 |
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9 |
Nov 20-22, 2007 |
Q&A |
NA |
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Nov 19, 2007 |
Q&A and previously missed Labs. |
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10 |
Nov 26-30, 2007 |
Midterm Week |
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11 |
Dec 4-6, 2007 |
NA |
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Dec 3, 2007 |
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12 |
Dec 11-13, 2007 |
NA |
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Dec 10, 2007 |
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13 |
Dec 18-20, 2007 |
Exam questions are reviewed. |
NA |
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Dec 17, 2007 |
Religional Holiday December 19-23, 2007 |
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14 |
Dec 25-27, 2007 |
html |
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Dec 24, 2007 |
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Exams |
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Midterm 30.11.2007 12:40-14:30 B408-410-411 |
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Final 11.01.2008 15:00-17:00 B401-417 |
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