UG: 4.032, G: 4.033

Provides an introduction to working with information, data and visualization in a hands-on studio learning environment. Studies the history and theory of information, followed by a series of projects in which students apply the ideas directly. Progresses though basic data analysis, visual design and presentation, and more sophisticated interaction techniques. Topics include storytelling and narrative, choosing representations, understanding audiences, and the role of designers working with data. 

Graduate students are expected to complete additional assignments. 

Provides instruction in architectural design and project development with an emphasis on social, cultural, or civic programs. Builds on foundational design skills with more complex constraints and contexts. Integrates aspects of architectural theory, building technology, and computation into the design process. 

Introduces the tools, techniques and technologies of design across a range of projects in a studio environment. Explores concepts related to form, function, materials, tools, and physical environments through project-based exercises. Develops familiarity with design process, critical observation, and the translation of design concepts into digital and physical reality. Utilizing traditional and contemporary techniques and tools, faculty across various design disciplines expose students to a unique cross-section of inquiry.

Introduces fundamental design principles as a way to demystify design and provide a basic introduction to all aspects of the process. Stimulates creativity, abstract thinking, representation, iteration, and design development. Equips students with skills to have more effective communication with designers, and develops their ability to apply the foundations of design to any discipline.

In an AI-enhanced future, humans will become better at everything. The machine targets real-world artificial intelligence challenges designed to help address issues related to climate change, and urbanization in cities. X Machine is an accelerator workshop designed to bring computer science and architecture together to create the most innovative and impactful technology solutions. The program's aim is to provide mentorship and technical support, with a focus on the problem statement and early-stage technology design ideation.

Undergraduates welcome.

The Professor has been steering a start-up housing group (DECOi) looking at automated composites via robotics. As part of this, they have developed design>build software to be able to generate complex detail quickly enough to keep pace with automated production. This has involved a highly skilled team of programmers and digital architects, mostly from MIT: Marc Downie (Media Lab PhD), Jorge Duro-Royo (Media Lab PhD), Kii Kang (SMArchS Computation), with framing and oversight offered by Professor Mark Burry, who pioneered parametric modeling for the Sagrada Famila in Barcelona over 30 years ago. As yet, this has focused on accelerating design>build capability, but all of the team members have a keen interest in how computation alters design imagination, and all have flirted with rule-based generative processes in their architectural work. All are intrigued by AI as it applies to design, yet there are as many versions of what AI "is", or might be.

The workshop aims to probe these differences, with students selecting what they feel are salient opportunities to develop some aspect of generative spatial/material aptitude, in the hope that it starts to offer clarity by being worked through into actual designs. The general premise is that the rule-based generative processes that emerged late C19th and steadily developed through the C20th are already taking hold in mainstream practice, and are destined to become the dominant mode of architectural production C21.

Students will be asked to step into speculative design protocols to gain insight into some aspect of auto-generated objects or buildings. The DECOi team is friendly, daring, and very team-oriented. There is no real expectation of computation as it's more adopting a creative mindset; but there is certainly a rare team of computational expertise to draw upon.

What we are finding is that once there is a high-speed and exact generative capability, so things like energy analysis, life-cycle analysis, techno-economic analysis can also take place "in seconds", offering technical feedback during the design process, which seems to be a real breakthrough. We also see opportunity for real-time co-design with clients, or even self-design in deploying the parameters offered by a cloud-based generative system. This seems to then offer potential for a vast expansion of architectural expertise, which currently involves itself in just 2% of global buildings! The expansion of architectural expertise and the liberation of design practice is then also an area that will merit our collective discussion, perhaps couched in terms of environmental benefit.