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ITA PhD course

Computational research with COMPAS

Description

The PhD-level course (primarily for A&T PhDs) will introduce computational methods for architecture engineering, fabrication & construction, incentivising computational literacy. Students learn the theoretical background and basic implementation details of fundamental data structures and algorithms, and to solve real-world problems using the COMPAS framework and other open-source libraries.

Learning objectives

  • understand the scope and relevance of computational methods for architecture and engineering research and practice,
  • the theoretical background of fundamental data structures,
  • the basic principles of algorithmic design;
  • implement basic versions of prevalent algorithms related to architectural geometry, structural design, robotic assembly, volumetric modeling & 3D-printing, high-performance computation;
  • use sophisticated algorithms available through open-source libraries to solve real-world problems; and,
  • use common CAD tools as interfaces to self-implemented solutions.

Overview

Course will consist of a few lectures, several tutorials and project-based exercises.

Topics will include:

  • Intro Python programming
  • Intro COMPAS open-source framework (https://compas-dev.github.io/)
  • Intro to geometry processing, data structures, topology, numerical computation
  • Domain-specific case studies (e.g. on architectural geometry, structural design, robotic assembly, volumetric modeling and 3D printing, high performance computation)

Schedule

Week Date Lead Title Description Links
1 Oct 2 BRG Introduction Course overview, COMPAS intro Slides
2 Oct 9 GKR Getting Started Development Tools 101
Python 101
COMPAS 101
Slides, Assignment
3 Oct 23 BRG Data structures and Geometry Basic theory and examples Slides, Assignment
4 Oct 30 BRG Module 1: Structural Design Theory: Form Finding methods Slides, Assignment
5 Nov 6 BRG Module 1: Structural Design Case study: The HiLo cablenet formwork system Slides
6 Nov 13 GKR Module 2: Robotic Assembly Theory: Robotic fabrication planning and executing Slides, Jupyter Notebook, Assignment
7 Nov 20 GKR Module 2: Robotic Assembly Case study: Robotic assembly of a brick wall Slides, Assignment
8 Nov 27 DBT Module 3: Volumetric Modeling Theory: Modelling with signed distance functions Slides, Notebooks, Assignment
9 Dec 4 DBT Module 3: Volumetric Modeling Case study: Modelling of a node Slides, Notebooks, Assignment
10 Dec 11 BRG Next Steps Using COMPAS in your own work

Join us on slack

https://tinyurl.com/yxse82a7

Jupyter and extensions

Make sure you install jupyter and extensions in the environment you are using:

conda install jupyter jupyter_contrib_nbextensions jupyter_nbextensions_configurator rise pythreejs --yes

To run the jupyter notebook, you simply have to type:

jupyter notebook

in your command line.

Activating extensions

From the Nbextensions tab in the notebook, install the following extensions:

  1. Split Cells Notebook: Enable split cells in Jupyter notebooks
  2. RISE: allows you to instantly turn your Jupyter Notebooks into a slideshow.

Configure workspace

To configure the workspace, type

jupyter notebook --generate-config

This writes a default configuration file into:

%HOMEPATH%\.jupyter\jupyter_notebook_config.py (on windows)

or

~/.jupyter/jupyter_notebook_config.py (on mac)

If you want jupyter to open in a different directory, then change the following line:

c.NotebookApp.notebook_dir = 'YOUR_PREFERRED_PATH'

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