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 2026 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
- Complete all of the following
- Must have completed the following:
- Enrolled in Master of Future Cities (MFC)
Antirequisites
None listed.
Leads to
No course lists it as a requisite.
Check it elsewhere for Spring 2026
- Graduate Calendar, Spring 2026The archived entry
- Requirements for Spring 2026Waterloo’s requisite checker
- Schedule of Classes, Spring 2026Instructors, rooms, live seats
- Quest Class SearchWhere you enrol
- Course outlinesSyllabi from past terms (UW login)
- UW FlowStudent ratings and reviews
- WClassesPast sections back to 2004, and who taught them