251.849 Technology for People :: Virtual Models and Scientific Value
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2020S, VU, 2.0h, 3.0EC, to be held in blocked form
TUWEL

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise

Learning outcomes

After successful completion of the course, students are able to present knowledge about possible applications of digital models within building archeology and building documentation and participate in a critical discussion about the topic.

Subject of course

Symposium "Virtual Models and Scientific Value"

18 and 19 May 2020, main ceremonial hall, TU Wien

In accordance with today's omnipresent digitization strategies, which do not stop at art and architecture, cultural sciences and humanities, teaching and research is becoming increasingly accustomed to the use of digital tools. The task at hand for these disciplines is now to responsibly contribute in shaping the evolvement of the new technologies - in theory, methodology and application. Discussion is especially needed to determine where the new technical capabilities can meet the requirements of researchers also in these fields for scientific analysis. 

The aim of the conference is to encourage creative thinking, to create a platform for exchange and cooperation in order to develop future projects and initiatives on these very sensitive topics - in the hope of promoting an intense exchange between architecture, art, archaeology and technology!

Teaching methods

 

  • participation at the symposium "Virtual Models and Scientific Value"
  • individual engagement with the subject
  • submission of critical discussion about digital models in architectural research

Mode of examination

Immanent

Lecturers

Institute

Examination modalities

participation in the symposium

written submission

Course registration

Begin End Deregistration end
17.02.2020 08:00 17.05.2020 23:59 17.05.2020 23:59

Curricula

Study CodeSemesterPrecon.Info
066 645 Data Science
TRS Transferable Skills

Literature

No lecture notes are available.

Miscellaneous

Language

English