Atticus29 / population-fragmentation

A web app. written in Angular that guides students through a simulation of an evolutionary phenomenon called genetic drift. Instructors can submit URLs to Google Sheets and Google Forms that get...

DOI pending

alfredocarella / simplebendingpractice

BeamBending is both an educational module and a Python package, intended to serve as a teaching aid during a first course in Statics.
The learning objectives cover:

  1. stresses on slender...
DOI pending

albi3ro / M4

M4 contains jupyter notebooks on condensed matter physics and topics helpful for a condensed matter physicist. This repository is an amalgamation of self-contained tutorials on a variety of...

DOI pending

kalu-o / mLEARn

mLEARn is an implementation of mutli-layer perceptron in C++. The aim of mLEARn is to provide a simple and extendable machine learning platform for students in courses involving C++ and machine...

DOI pending

https://bitbucket.org/chameleoninterpreter/chameleon-interpreter-in-python-release/

This software consists of a series of language interpreters, in the tradition of EOPL, written in Python for ChAmElEoN---a programming language for teaching students the concepts and implementation...

DOI pending

AstrobioMike / AstrobioMike.github.io

Happy Belly Bioinformatics (astrobiomike.github.io) is a website designed and maintained around the goal of helping biologists be able to learn and apply bioinformatics as needed in their research.

DOI pending

https://gitlab.com/oer/emacs-reveal

Emacs-reveal is free/libre and open source software to create HTML presentations (slides with audio) that are suitable as Open Educational Resources. Source files for presentations are written in...

DOI pending

rambasnet / thinkpythonnotebooks

Jupyter notebook-based learning modules for CS1 and CS2 level university courses based on open-source text book. May be used as supplementary or primary materials to teach Python.

DOI pending

kmader / Quantitative-Big-Imaging-2018

The module focuses on the challenging task of extracting robust, quantitative metrics from imaging data and is intended to bridge the gap between pure signal processing and the experimental science...

DOI pending