This is the repository contains all the learning materials for MIT 18.330, you can go to the original website to get the same resources and blank problem set jupyter notebooks.
Welcome to 18.330! This is an introductory course on numerical analysis.
We will be using the Julia language. Please follow these installation instructions.
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Slides and notebooks for each lecture are available in the lectures directory.
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Screen recordings of lectures are available here
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Summaries of each lecture are here
- 9 problem sets
- Final project
Problem sets will consist of a mixture of theory and coding. They will be submitted and graded online.
The final project will be an exploration of a topic in numerical analysis that we have not covered in class (although at the level of the class), and will include a discussion of the mathematics behind the method, together with your own implementation.
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See https://github.com/mitmath/julia-mit for information and resources on Julia.
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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 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 which contains the blank jupyter notebooks for problemset.
See here for the approximate course syllabus.
See here for bibliography and related online courses and learning materials.
Check out this repository which contains all my self-learning materials : )