A survey of the evolution of structures, settlements, and landscapes in the western world from the origins of human societies to the close of the Medieval period.

A survey of the evolution of structures, settlements, and landscapes in the western world from the origins of human societies to the close of the Medieval period.

A survey of the evolution of structures, settlements, and landscapes in the western world from the origins of human societies to the close of the Medieval period.

This seminar will examine the theme of architecture and race within the context of the Americas and the Caribbean from the colonial era to the contemporary moment. The close examination of pertinent literature, history, and theory will help us to flesh out the ways that architecture narrates race, and vice versa.

Over the last few years, a wave of excitement about machine learning (ML) and deep learning has proliferated from academia to industry, transforming prototypes in research labs to valid solutions to real-world problems. Using ML entails developing end-to-end pipelines to collect data, clean it, and run learning and inference algorithms in a scalable manner. This results in computationally intense workloads and complex software pipelines. Systems for ML help users organize their data and scale these computationally intense problems to larger and larger datasets.