AR-401(k) / 13 crédits

Enseignant: Huang Jeffrey

Langue: Anglais

Withdrawal: It is not allowed to withdraw from this subject after the registration deadline.

Remark: Inscription faite par la section


Summary

The studio examines the effects of artificial intelligence on architecture and cities. We explore data-driven design processes by the use of algorithmic and parametric tools that take into consideration geographical, economical, personal, image, political, ecological parameters.

Content

Keywords

Data-driven design, digital vernacular, growth typology, artificial intelligence, automation, morphogenesis.

Learning Prerequisites

Important concepts to start the course

We assert that it is precisely the new wave of digital tools (machine learning, scripting, parametric modeling, and associative geometry) that enable the type of approach which is forwarded by the studio's agenda. The ability to organize and leverage information permits the architect to approach projects of new scales and complexity. The logical management of variation empowers the architect to avoid repetitive solutions and to maintain an equally high level of conceptual rigor across the entire project, to engage with that complexity rather than reducing it. An additional aspect is the ability to quickly and accurately produce quantitative information during the design process which can be used to strengthen the argument or inform the decision-making process.

Learning Outcomes

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

  • Critique a specific project brief and a specific context and respond with a meaningful data-driven design concept.
  • Translate a data-driven design concept into meaningful architectural and/or urban propositions at appropriate scales and levels of granularity.
  • Produce coherent architectural representations and models at sufficient levels of detail.
  • Formulate the morphogenetic narrative and create convincing arguments for the design propositions.
  • Develop convincing final diagrams, drawings, renderings, simulations, physical and digital models.

Transversal skills

  • Collect data.
  • Design and present a poster.
  • Make an oral presentation.
  • Demonstrate the capacity for critical thinking

Teaching methods

Presentations, Mapping exercises, Hands-on design activities, Design reviews, Group projects.

Expected student activities

Group discussion, Case studies, Mapping, Sketching, Designing, Design Reviews, Pin-Up, Desk Crits.

Assessment methods

Grading will be based upon the quality of the projects in the preliminary stages, intermediary reviews, and in the final review. Projects will be assessed based on: (1) their conceptual strength and innovation, (2) the coherence and resolution of their architectural translation, (3) their representative clarity and expressive power, and (4) the persuasiveness of their communication, both orally, and through the physical and digital artifacts.

 

Supervision

Assistants Yes

Resources

Websites

Dans les plans d'études

  • Semestre: Automne
  • Forme de l'examen: Pendant le semestre (session d'hiver)
  • Matière examinée: Théorie et critique du projet MA1 (Huang)
  • Cours: 2 Heure(s) hebdo x 14 semaines
  • Projet: 4 Heure(s) hebdo x 14 semaines
  • Semestre: Automne
  • Forme de l'examen: Pendant le semestre (session d'hiver)
  • Matière examinée: Théorie et critique du projet MA1 (Huang)
  • Cours: 2 Heure(s) hebdo x 14 semaines
  • Projet: 4 Heure(s) hebdo x 14 semaines
  • Semestre: Automne
  • Forme de l'examen: Pendant le semestre (session d'hiver)
  • Matière examinée: Théorie et critique du projet MA1 (Huang)
  • Cours: 2 Heure(s) hebdo x 14 semaines
  • Projet: 4 Heure(s) hebdo x 14 semaines

Semaine de référence

 LuMaMeJeVe
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     

Mardi, 8h - 12h: Projet, autre

Mardi, 14h - 18h: Projet, autre

Lundi, 8h - 10h: Cours

Lundi, 10h - 12h: Projet, autre

Lundi, 14h - 18h: Projet, autre