18.330 Introduction to Numerical Analysis
Welcome to course 18.330 at MIT! This is an introductory course on numerical analysis.
Please follow these instructions to install Julia and then Pluto.
Lectures will be synchronous Zoom sessions; these will be recorded for asynchronous access with an MIT account.
Slides (in PDF format) and Pluto notebooks will be publicly available in this repository after each lecture.
Visiting professor David P. Sanders ([email protected])
Tues, Thurs 1--2:30, virtual
Office hours: TBD
Piazza forum: TBD <!--
Slides and notebooks for each lecture are available in the lectures directory.
Screen recordings of lectures are available here
Summaries of each lecture are here -->
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.
Prof. Steven Johnson will give an introduction to Julia on Friday, Feb 19 from 5-7pm. Make sure to install Julia beforehand. See https://github.com/mitmath/julia-mit for information and resources on Julia.
More learning resources are available at https://julialang.org/learning/
If you use Windows, please download Git for Windows here
To get the files, use
gitfrom the command line (or from a GUI), as follows
Clone the repository once with
git clone https://github.com/mitmath/18330This will create a new directory called
18330with the matierials.
Update it to pull in new changes each time with
git pullThis needs to be executed from within the directory. (Use
cdto change directory.)
See here for the approximate course syllabus.
See here for bibliography and related online courses and learning materials.