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18.330 Introduction to Numerical Analysis

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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: - The Julia language - The Pluto notebook environment

Please follow these instructions to install Julia and then Pluto.


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

  • TA: Nicholas Liu

  • Tues, Thurs 1–2:30pm Eastern, virtual

  • Office hours: Tues, 5–7pm Eastern

  • Piazza forum

Course materials


  • 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

  • Prof. Steven Johnson will give an introduction to Julia on Friday, Feb 19 from 5-7pm. Make sure to install Julia beforehand. See for information and resources on Julia.

  • More learning resources are available at

Windows users

If you use Windows, please download Git for Windows here

Getting the files

To get the files, use

from the command line (or from a GUI), as follows
  • Clone the repository once with

    git clone
    This will create a new directory called
    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
    to change directory.)


See here for the approximate course syllabus.


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

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