https://github.com/hnarayanan/thinkbot-xblock

A collection of edX XBlock components for numerical simulations.
https://github.com/hnarayanan/thinkbot-xblock

educational fenics javascript mechanics python simulation

Last synced: 14 days ago
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A collection of edX XBlock components for numerical simulations.

• Host: GitHub
• URL: https://github.com/hnarayanan/thinkbot-xblock
• Owner: hnarayanan
• License: agpl-3.0
• Created: 2013-04-08T16:36:28.000Z (almost 12 years ago)
• Default Branch: master
• Last Pushed: 2013-07-11T01:53:04.000Z (over 11 years ago)
• Last Synced: 2024-12-03T20:08:58.511Z (2 months ago)
• Topics: educational, fenics, javascript, mechanics, python, simulation
• Language: Python
• Homepage: http://thinkbot.net/
• Size: 146 KB
• Stars: 3
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.TXT

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README

        
XBlock components for numerical simulation

==========================================

Copyright (C) 2013 Harish Narayanan

This project is released under the GNU Affero General Public

License. Please read LICENSE.txt for the complete terms.

Background

----------

This project aims to create a collection of XBlocks that allow

students to carry out simulations in mathematical physics and

instructors to pose exercises within this context. It does this by

connecting to [thinkbot](http://thinkbot.net/), a computing service

which offers a selection of scientific computing software through a

[RESTful

API](https://en.wikipedia.org/wiki/Representational_state_transfer).

In particular, the project initially aims to build three kinds of

XBlock components:

1. A component that allows students to interact with the results of a

   precomputed numerical solution. Such demonstrations are used to

   motivate the theoretical material covered in classes.

2. A component that allows students to dynamically interact in simple

   ways with a numerical simulation, such as changing parameters.

3. A component that presents students with interactive programming

   exercises tied to computational science.

![Interacting with the solution of a PDE](http://harishnarayanan.org/files/images/tmp/thinkbot-xblock-1.png)

Installation

------------

1. Install the [XBlock component

   architecture](https://github.com/edX/XBlock) project

2. Source the corresponding `venv`, if you installed it in a virtual

   environment (which you should have!)

3. Install the thinkbot related Xblocks from this project's root

   folder:

       $ pip install -e thinkbot

4. Run the Django development server for the XBlock workbench:

       $ python manage.py runserver

5. Open a web browser to: http://127.0.0.1:8000 and find a link to

   the thinkbot XBlock

Contact info

------------

If you're interested in finding out more about how to use this project

in your own course or are interested in contributing to it, please

write to me:

Harish Narayanan