uwloo

FCIT 607Data, Methods, and Models for Future Cities

Units
0.50
Level
Graduate
Faculty
Environment
Subject
Future Cities

When it runs

  1. F24
  2. W25
  3. S25
  4. F25
  5. W26
  6. S26
  7. F26
  8. W27
  9. S27

Ran in 1 of the last 7 terms. Winter 2027: scheduled, 1 lecture section. Spring 2027: schedule not out yet.

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.

Winter 2027 sections

Enrolment from UW Open Data, which can trail Quest by up to two days. Instructors and rooms: Schedule of Classes.
SectionClassEnrolledMeets
LEC 08155170 / 30Online or by arrangement

Check it elsewhere for Fall 2026

Calendar versions

Graduate Calendar

Older Graduate Calendars

In 3 terms, Spring 2023 to Winter 2024