This seminar introduces graduate students in Computational Design to the rudiments of graduate level academic research, and offers a space to discuss inchoate research methods, questions, and projects in the field.
The course will introduce students to collecting and processing data acquired from building systems and evaluating their performance. It will discuss the basics about control systems, including both traditional control logics, like rule-based control and model predictive control, and advanced control logics like reinforcement learning based control. Proficiency in Python and maturity in mathematics is required. Knowledge of website design and reinforcement learning is recommended.
This graduate-level course examines the emergence of computation as a pivotal concept in contemporary architecture and design through a selection of design theories and practices responding to the so-called "computer revolution".
Sustainable Design Synthesis is a culminating course of the Master of Science in Sustainable Design (MSSD) program, following the pre-requisite 48731 MSSD Synthesis Prep.
This course teaches students the importance of value based design across all project types and delivery methods.
Classes provide both depth and breadth, while the culminating Thesis Project allows students the opportunity to narrow their research focus to a topic of personal and professional interest.
In this course, students use ArcGIS to map local experiences and large-scale urban systems and use spatial data science to make inferences.
The Master of Advanced Architectural Design (MAAD) program culminates with a design thesis in the final year of studies. This two-semester independent project allows students to conduct design research and develop a project on a topic they have defined in consultation with the program track chair.
48795 A4, LEED, Green Infrastructure and Community Rating in Global Context, is a graduate level mini-course that compares global community and infrastructure rating systems to gain perspective about sustainable infrastructure development and community design.
