After successful completion of the course, students are able to describeMethods and learning content from Industrial Data Science

Methods and learning content from Building Data Science

Methods and software for Parametric Design in early planning phases

Methods and software for multicriteria optimization and structural design in early design phases

Methods for the application of interfaces for programming and data transfer from analytical models in Grasshopper to virtual reality software.

Describe which processes and data structures are necessary to perform Parametric Optimizations

This course is offered for students of architecture, civil engineering and industrial/mechanical engineering.

1st part: Introduction to Programming and IT Infrastrucutre

2nd part: Introduction to Parametric & Generative Design

3rd part: Introduction to Rhino3D and Grasshopper Software

Part 4: Introduction to Virtual Reality

5th part: Data Exploration Methods and Programming Tasks

6th part: Data Managament Methods and Programming Tasks

7th part: Data Mining Methods and Programming Tasks

8th part: Generation and Optimization of Geometry

9.Teil: Evaluation and Feedback to LVA

Demonstration of the online learning environment

Programming tasks

Self-learning via videos and presentations (+ multiple choice tests)

Modeling and optimization

Presentation of programmed models in virtual reality

Working in an interdisciplinary environment

In WS22 the course will be conducted in the course of the research project "digiTeachVR - Digital, integral course for the use of Virtual Reality in Industrial Data and Building Science" funded by the d.call2021 of the TUWien!

An innovative online learning environment will be tested and evaluated with students!

Completion of programming tasks

Multiple choice tests

Grasshopper scripts for the design and optimization of the given task

Completing feedback questionnaire

Basic knowledge of programming in python and Grasshopper is an advantage