Coursebooks 2017-2018

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Cultural data sculpting

DH-404

Lecturer(s) :

Kenderdine Sarah Irene Brutton

Language:

English

Summary

This course will engage novel approaches for visualizing and interacting with cultural heritage archives in immersive virtual environments.

Content

Today we mine data: tomorrow we will sculpt it *

'Cultural Data Sculpting' at the intersection of two dynamic phenomena, the ever-expanding heterogeneous digital archives, in conjunction with their visualization in immersive, interactive display systems. This course will engage novel approaches (with computational challenges) to creating innovative applications for visualizing and interacting with these cultural heritage archives.

This course is located at a new laboratory researching the forefront of experimentation in galleries, libraries, archives and museums. This lab contains a wide scale immersive, interactive virtual reality and augmented reality systems including a 360-degree 3D panoramic projection screen and a 4K fulldome. Students will have access to these state-of-the-art systems to design and build their applications. Emphasis is on the development of a new approach to digital cultural archives in these omnidirectional and hemispheric systems.

Students will have access to already existing digital cultural archives. These datasets include audio-visual archives, gigapixel and stereographic panoramas, databases of 3D objects and geo-located datasets. Students will work together in small teams to focus on specific aspects of the application design and programming, culminating in an exhibition.

The race will use a unity 3D platform, running across a powerful PC cluster and / or single IG as required. Aspects of signal processing, machine learning and data analysis are useful but not mandatory prerequisites.

Course outline:

  1. Introduction to immersive interactive
  2. Introduction to hardware and software infrastructure (technical introduction to VR frameworks / templates)
  3. Investigating the archive (selecting an archive / understanding it's affordances)
  4. Omnidirectional visual design / interactive narrative design
  5. Local museum site visit and reviews
  6. Project design I
  7. Project design II / Project
  8. Project development I
  9. Project development II
  10. Project development III
  11. Project integration IV
  12. Project immersive experience
  13. Final project integration
  14. Exhibition and evaluation

* O'Neill, G. 2010. Data Sculpting . Turbulence Ahead. http://www.turbulenceahead.com/2010/06/data-sculpting.html.

Learning Prerequisites

Required courses

No mandatory prerequisites

Recommended courses

Applied Data Analysis

Signal Processing and Machine Learning for Digital Humanities

Introduction to Digital Humanities

Important concepts to start the course

Working knowledge of Unity 3D

Interactive Computer Graphics

Interaction Design

Learning Outcomes

By the end of the course, the student must be able to:

Transversal skills

Teaching methods

Theoretical lectures

Exhibitions and installation experiences and critiques

Applied project design, development and delivery

Expected student activities

Design concept (individual - written)

Design critiques

Final project (group - practical)

Assessment methods

Design concept (written) - 50%

Final project (practical) - 50%

Supervision

Office hours Yes
Assistants Yes
Forum Yes
Others Lab

In the programs

Reference week

 MoTuWeThFr
8-9     
9-10     
10-11     
11-12     
12-13     
13-14     
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22     
Under construction
 
      Lecture
      Exercise, TP
      Project, other

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  • Autumn semester
  • Winter sessions
  • Spring semester
  • Summer sessions
  • Lecture in French
  • Lecture in English
  • Lecture in German