Computational Cryptography#
Course Overview#
This is the landing page for the Computational Cryptography Course where number theory, descrete mathematics, and computational science come together. It is evolving, and we will add more content with time to make it more comprehensive and inclusive of the skills and knowledge of the computational cryptography ecosystem.
Below are the list of modules currently offered -
List of Lectures#
This is a landing repository for the development of the course content of computational cryptography.
However, to begin with, we treat this as a repository where we prototype using computational tools for number theory and discrete mathematics in general. Sage is one of the widely used computational tool by mathematicians, so we do a bit of introduction into it.
SageMath setup#
The easiest way to install sage for a user is through conda/micromamba.
conda create -n sage python=3.12 sage
The above line creates a conda environment named sage with python version 3.12, and installs the package sage.
Then you activate the environment: conda activate sage and use it. Sage adapts jupyter notebook into something called sage notebook. They are very similar with some important distinctions. See sage docs for more details.
Sage has it’s own language, which is like an extension of python, and as a result one can program in sage, or in pure python as well. However it’s more intuitive to write in sage’s language.
Contact#
For course related queries, contact us or the instructors at following -
Name |
|
|---|---|
oisin Robinson |
|
Rajarshi Tiwari |