Master Architecture program, TUW:
Digital Design and Production Module
The content presented in this interdisciplinary module is informed by faculty research. Students acquire the technical skills to create and produce innovative designs that realize the potential of advanced parametric shape modeling and digital fabrication methods.
Building Information Modeling (Lecture, 1h , Exercise, 1.5h)
This course provides an introduction to building information modeling (BIM). Topics covered by lectures and exercises include: evaluation of BIM systems, object-based parametric modeling, interoperability, databases, concurrency control, and workflow modeling.
Architectural Morphology (Lecture, 1h , Exercise, 1.5h)
An introduction to graph theory and its application in architectural design, including floor plan representation, analysis, and generation is given. Students learn how to apply isovist and space syntax modeling techniques to the spatial analysis of rooms, buildings, and urban spaces.
Parametric Modeling and Programming (Exercise, 2h, with Peter Ferschin)
Shape designs that are computationally efficient as well as material and production friendly may be created with parametric modeling and programming functionality in geometry modeling and CAAD software. Students learn basic data processing concepts and develop programming skills in computational geometry exercises.
Advanced Parametric Modeling (Exercise, 2.5h, with Peter Ferschin)
Students deepen their digital design competence in an advanced parametric modeling project in which they develop parametric models of selected architectural designs for the purpose of design and performance space exploration.
Bachelor Architecture program, TUW:
CAAD and Geometry (Lecture, 1.5h, with Christian Müller)
The course covers key concepts that underlie geometric modeling and computer-aided architectural design systems. Parametric and performance-based modeling methods are introduced. Their potential and limitations for architectural design are illustrated with case studies from innovative practices.
Design Computing Seminar (Seminar, 4h)
Students conduct a literature review of the state-of-the-art in a chosen area of design computing. Students summarize their findings in a report which is structured and formatted according to scientific publishing standards.