Duration
40h Th
Number of credits
| Master in architecture, professional focus in architecture and urban planning | 5 crédits |
Lecturer
Language(s) of instruction
French language
Organisation and examination
Teaching in the first semester, review in January
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
The development and adoption of digital tools, particularly AI, has grown significantly in recent years, not only in industry in general but also in the world of architecture.
In this course, we examine three digital practices in particular:
- Generative AI for the production and modification of architectural images;
- Digital fabrication and the challenges of non-standard architecture;
- Visual programming for the definition of generative parametric models using the Grasshopper tool.
Studying and mastering the effects of these tools on the design process will enable students to make relevant decisions for each specific project. The course will also help students, as future practitioners, to maintain a critical view of the advantages, disadvantages and limitations of these tools, in comparison with more 'traditional' tools.
This course aims to broaden students' perspectives and curiosity, equipping them to face the challenges of a future society that will demand ever greater technical expertise and performance.
Learning outcomes of the learning unit
By the end of this course, students will be able to:
- Critically manipulate IAGs, from prompt definition to fine-tuning;
- Implement the basics of digital fabrication, in particular 3D printing and laser cutting, and understand the challenges from the perspective of architectural design and production file generation;
- Create a basic parametric model using Grasshopper;
- Identify the main challenges of computational design today and develop a critical and personal perspective on its relationship to architectural projects.
Prerequisite knowledge and skills
None
Planned learning activities and teaching methods
Theoretical presentations, guest speakers
Practical work
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face course
Course materials and recommended or required readings
Platform(s) used for course materials:
- eCampus
Exam(s) in session
Any session
- In-person
written exam
Written work / report
Continuous assessment
Work placement(s)
Organisational remarks and main changes to the course
Contacts
Prof. Aurélie de Boissieu
aurelie.deboissieu@uliege.be