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FCIT 607Data, Methods, and Models for Future Cities

Units
0.50
Level
Graduate
Faculty
Environment
Subject
Future Cities

FCIT 607 as listed in the Spring 2025 Graduate Calendar. The main page has the current version, when it runs, and seats.

This course is a hands-on introduction to the challenges and opportunities of "big data," computational power, and disruptive technologies (e.g., machine learning, artificial intelligence, and the internet of things) for future cities. It emphasizes contemporary debates about data ethics and politics, with an emphasis on privacy, surveillance, and security. Students will learn how to use Python to manage and analyze data; develop and interpret models; integrate domain experience and expertise from stakeholders; and effectively communicate evidence, risk, and uncertainty to decision-makers

Prerequisites

Antirequisites

None listed.

Leads to

No course lists it as a requisite.

Check it elsewhere for Spring 2025

Calendar versions

Graduate Calendar

Older Graduate Calendars

In 3 terms, Spring 2023 to Winter 2024