NumericalAnalysis

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NumericalAnalysis

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Repository for Numerical Analysis course given by Assoc. Prof. Dr. Bora Canbula at Computer Engineering Department of Manisa Celal Bayar University.

NumericalAnalysis 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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# Numerical Analysis 2025
Repository for Numerical Analysis course given by Assoc. Prof. Dr. Bora Canbula at Computer Engineering Department of Manisa Celal Bayar University.

[![made-with-python](https://img.shields.io/badge/Made%20with-Python-1f425f.svg)](https://www.python.org/) [![MIT license](https://img.shields.io/badge/License-MIT-blue.svg)](https://lbesson.mit-license.org/) [![GitHub stars](https://badgen.net/github/stars/canbula/NumericalAnalysis/)](https://GitHub.com/canbula/NumericalAnalysis/stargazers/) [![GitHub forks](https://badgen.net/github/forks/canbula/NumericalAnalysis/)](https://GitHub.com/canbula/NumericalAnalysis/network/) [![GitHub contributors](https://img.shields.io/github/contributors/canbula/NumericalAnalysis.svg)](https://GitHub.com/canbula/NumericalAnalysis/graphs/contributors/) [![GitHub total-pull-requests](https://badgen.net/github/prs/canbula/NumericalAnalysis)](https://GitHub.com/canbula/NumericalAnalysis/pull/) [![GitHub pull-requests merged](https://badgen.net/github/merged-prs/canbula/NumericalAnalysis)](https://github.com/canbula/NumericalAnalysis/pulls?q=is%3Amerged)

# Web Application for Students
We built a web application in this course as a side project to help student to understand the concepts and methods better.

[NUMERICALCULATOR](https://numericalculator.canbula.com)

# Course Information
In this course, students will learn the basic concepts of numerical analysis. 
In the first part of the course, students will learn the way that computers represent numbers and how to use them in calculations. 
In the second part, we will focus on the numerical methods for solving linear equations. 
In the following sections, we will learn about the numerical derivatives and integrals. 
In the end, we will use these skills to solve some nonlinear equations. 
In all applications, we will use Python to solve the problems. 
You can find some supplementary videos for this course on my YouTube channel.

# Wiki
Some concepts are emphasized in Wiki pages, you can find them in the following link.

[Wiki Pages](https://github.com/canbula/NumericalAnalysis/wiki)

# Weekly Content
You can find the codes that written in the laboratory in the folder WeekXX.

# Lecture Notes and Problem Sets
In the root folder there is a LectureNotes.pdf file, which is updated weekly after every lecture. 
At the end of the every chapter, you will also find a Problem Set.

# Homeworks
Students are requested to submit their homeworks to folders WeekXX, as defined in the LectureNotes.pdf. 
The codes will be subject to certain GitHub action workflows to be tested automatically.

# Codes and Videos from Previous Years
You can change the branch to see the codes from previous years. Also there is a YouTube playlist, 
which includes the supplementary videos for the course as given in 2021 and 2022.

[Full Course from 2021](https://youtube.com/playlist?list=PL30NBs02RsiVzlo8XXB-ox8EiJ09CDjJn&si=bsLRpWLx0qKhxFxM)

[Live Sessions from 2022](https://youtube.com/playlist?list=PL30NBs02RsiVfy95E4wZV0qQk2BvOpqYv&si=s5AqijK7Bspy5FNp)

# How to Create a Pull Request
https://github.com/canbula/Statistics/assets/5307181/1995892c-6e7b-40ce-be7f-8f16f1aee0e0

NumericalAnalysis

NumericalAnalysis 최신버젼 다운로드

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