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Numerical Analysis 2023

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

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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

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.

NumPy Arrays Slicing
Week04 Homework

Binary Representation API
Week05 Homework

Half Precision IEEE 754 Representation
Week06 Homework

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

Live Sessions from 2022

numericalanalysis's People

Contributors

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