Description

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Program

Doctor of Philosophy (PhD) in Architectural Engineering And Environmental Design

Objectives

• This course provides a basic introduction to data collection, processing, and analysis, surveys, forecasting and modeling techniques in planning; demonstrates the uses of real- time urban data and analytics; and provides a socio-economic and technological frameworks for the smart cities movement, focusing on data analysis process in planning. The course introduces the systematic analysis of data processing, relying on critical thinking with regard to economic, social and environmental outcomes. It explores what stakeholders’ value in conceptualizing "smart cities". The course aims to teach students systematic approaches to collecting, analyzing, modeling, and interpreting quantitative data used to inform robust research, and ultimately urban planning practice and policy-making. Beyond instruction in urban data science and analytics, students will be introduced to theory and critical discourses on topics such as transportation data as an example. Instructors will expect students to engage with technical and theoretical- with particular focus placed on ethical considerations associated with these subjects in lecture and laboratory sections