GithubHelp home page GithubHelp logo

panadestein / 18330 Goto Github PK

View Code? Open in Web Editor NEW

This project forked from mitmath/18330

0.0 0.0 0.0 40.26 MB

18.330 Introduction to Numerical Analysis

License: Other

Julia 7.83% Jupyter Notebook 92.17%

18330's Introduction

18.330: Introduction to Numerical Analysis

Spring 2021

Welcome to course 18.330 at MIT! This is an introductory course on numerical analysis.

Installation of required software

We will be using the following free / open source software:

Please follow these instructions to install Julia and then Pluto.

Logistics

  • Visiting professor David P. Sanders ([email protected])

  • TA: Nicholas Liu

  • Tues, Thurs 1โ€“2:30pm Eastern, virtual

  • Office hours: Tues, 5โ€“7pm Eastern

  • Piazza forum

Course materials

Evaluation

  • 10 problem sets (50%). No late submissions, but the lowest score will be dropped.
  • 1 midterm take-home exam (20%)
  • Final project (30%)

Problem sets will consist of a mixture of theory and coding in Julia. They will be submitted and graded online.

For the final project you will explore a topic in numerical analysis that we have not covered in class (but at the level of the class). The final project must include a discussion of the mathematics behind the method, together with your own implementation in Julia.

Learning Julia

Windows users

If you use Windows, please download Git for Windows here

Getting the files

To get the files, use git from the command line (or from a GUI), as follows

  • Clone the repository once with
git clone https://github.com/mitmath/18330

This will create a new directory called 18330 with the matierials.

  • Update it to pull in new changes each time with
git pull

This needs to be executed from within the directory. (Use cd to change directory.)

Syllabus

See here for the approximate course syllabus.

Bibliography

See here for bibliography and related online courses and learning materials.

18330's People

Contributors

anshulxyz avatar dpsanders avatar fonsp avatar hronellenfitsch avatar stevengj avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.