UG: 4.118, G: 4.117

Dedicated to bridging the gap between the virtual and physical world, the subject embraces modes of computation that hold resonance with materials and methods that beg to be computed. Students engage in bi-weekly exercises to solve complex design problems. Each exercise is dedicated to a different computation approach (recursion, parametric, genetic algorithms, particle-spring systems, etc.) that is married to a physical challenge, thereby learning the advantages and disadvantages to each approach while verifying the results in physical and digitally fabricated prototypes. Through the tools of computation and fabrication, it empowers students to design as architects, engineers and craftspeople. 

Additional work required of student taking for graduate credit. 

Note: Room for lab has changed from 9-451 to N52-337 (same room as lecture section)

Inspired by Charles and Ray Eames' canonical Powers of Ten, explores the relationship between science and engineering through the lens of design. Examines how transformations in science and technology have influenced design thinking and vice versa. Provides interdisciplinary skills and methods to represent, model, design and fabricate objects, machines, and systems using new computational and fabrication tools. Aims to develop methodologies for design research of interdisciplinary problems.

UG: 4.043, G: 4.044

Overview of core principles and techniques for the design of interaction, behavior, and intelligence across objects and spaces. In a studio environment, students develop low and high-fidelity interactive prototypes that can be deployed and experienced by real users. Lectures cover the history and principles of human-computer interaction, behavior prototyping, physical and graphical user interfaces, machine intelligence, neural networks, and large language models. Provides a foundation in technical skills, such as physical prototyping, coding, and electronics, as well as how to collect data, train, and deploy their own neural network models. Students complete a series of small interaction exercises and a portfolio-level final project. 

Students taking graduate version complete additional assignments. 

Focuses on producing a small series of manufactured products. Students develop products that address specific user needs, propose novel design concepts, iteratively prototype, test functionality, and ultimately exhibit their work in a retail context. Stemming from new research and technological developments around MIT, students try to imagine the future products that emerge from new materials and machine intelligence. Provides an in-depth exploration of the design and manufacturing of products, through narrative, form, function, fabrication, and their relationship to customers. 

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.

2/15/23 - this subject number was previously 4.s22

The rise of Artificial Intelligence (AI) dates back over 80 years when digital computers were developed during World War II. Using binary code to represent various phenomena made it possible to solve previously unsolvable numerical problems. AI has rapidly become a transformative technology in various fields, including the built environment. This course offers a thorough understanding of AI's role in the built environment, including hands-on examples of utilizing AI to tackle various urban challenges. Through data-driven case studies, this course will explore how emerging data and AI models are changing the assessment of the built environment. The structure of this course focuses on four key areas: 

• Data Analysis in Satellite Imagery
• Fundamental of Graph Theory and its applications in cities
• Computer vision and  image processing
• Theories of Artificial Neural Networks and image data classification. 

In this project-based course, students will work in teams to develop a computational approach that addresses the use of these four methods to solve an urban problem.  
 

2/24/23 - class will now meet in room 5-216

Master/Piece wordshop will study 6 buildings that are considered seminal in contemporary architecture, built by architects that remain active in practice. We will discuss why those works are key and the chain of reactions and trends that detonate in architecture culture, their traces and impact in peers and in other projects. We will focus deep in the conceptual to constructive scales and the masters will join the class to culminate the analysis and conversation.

Visiting masters: Alberto Campo Baeza, Diébédo Francis Kéré & Alejandro Aravena