UUY-DTS 4242 units400 LevelSecond Semester

Intelligent Computing and Analytics for Urban Centres

B.Sc. Data Science, University of Uyo

UUY-DTS 424 (Intelligent Computing and Analytics for Urban Centres) is a 2-unit, 400 Level course taught in the Second Semester at the University of Uyo, Akwa Ibom State, Nigeria.

Data science applied to cities: sensor and IoT data, mobility and transport analytics, geospatial analysis, and the smart-city systems that use them — with the Nigerian urban context front and centre.

On Areté, UUY-DTS 424 comes with

  • 2 recommended textbooks
  • an AI tutor that has read this course’s outline and notes
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Course outline

  1. 01Smart city concepts, domains and architectures
  2. 02Urban data sources: IoT sensors, GPS traces, mobile network data, satellite imagery, open city data
  3. 03IoT fundamentals for urban sensing: devices, gateways, protocols (MQTT, LoRaWAN) and edge computing
  4. 04Geospatial data: coordinate systems, vector and raster data, GeoJSON and shapefiles
  5. 05Spatial analysis: geocoding, spatial joins, buffers, density and hotspot analysis
  6. 06Mobility and transport analytics: origin–destination matrices, traffic flow, route optimisation
  7. 07Urban applications: energy, waste, water, public safety, health and environmental monitoring
  8. 08Real-time dashboards and decision support for city administration
  9. 09Challenges in the Nigerian context: data scarcity, informal settlements, infrastructure and surveillance ethics

Recommended textbooks

  • Urban Analytics — Alex Singleton, Seth Spielman & David Folch

    The core text on data-driven urban analysis

  • Geographic Data Science with Python — Rey, Arribas-Bel & Wolf

    Free at geographicdata.science; the practical geospatial companion

How to pass UUY-DTS 424

  • Learn GeoPandas and QGIS practically — geospatial skills are rare among Nigerian graduates and immediately marketable
  • Coordinate reference systems cause more bugs than any other geospatial topic; understand why you cannot mix WGS84 and a projected CRS in one calculation
  • Use real local data (OpenStreetMap for Uyo, NASA/Copernicus satellite imagery) — a local case study is far stronger in assessment than a foreign one
  • The surveillance-ethics angle connects straight back to DTS 318; smart-city sensing is one of the sharpest privacy trade-offs in the field

UUY-DTS 424 — questions and answers

What is UUY-DTS 424 at the University of Uyo?
UUY-DTS 424 (Intelligent Computing and Analytics for Urban Centres) is a 2-unit, 400 Level course taught in the Second Semester at the University of Uyo, Akwa Ibom State, Nigeria. Data science applied to cities: sensor and IoT data, mobility and transport analytics, geospatial analysis, and the smart-city systems that use them — with the Nigerian urban context front and centre.
What topics are covered in UUY-DTS 424?
The UUY-DTS 424 outline covers 9 topics: Smart city concepts, domains and architectures; Urban data sources: IoT sensors, GPS traces, mobile network data, satellite imagery, open city data; IoT fundamentals for urban sensing: devices, gateways, protocols (MQTT, LoRaWAN) and edge computing; Geospatial data: coordinate systems, vector and raster data, GeoJSON and shapefiles; Spatial analysis: geocoding, spatial joins, buffers, density and hotspot analysis; Mobility and transport analytics: origin–destination matrices, traffic flow, route optimisation; Urban applications: energy, waste, water, public safety, health and environmental monitoring; Real-time dashboards and decision support for city administration; Challenges in the Nigerian context: data scarcity, informal settlements, infrastructure and surveillance ethics.
What textbooks are recommended for UUY-DTS 424?
Recommended reading for UUY-DTS 424: Urban Analytics by Alex Singleton, Seth Spielman & David Folch; Geographic Data Science with Python by Rey, Arribas-Bel & Wolf.
How do I pass UUY-DTS 424?
Learn GeoPandas and QGIS practically — geospatial skills are rare among Nigerian graduates and immediately marketable Coordinate reference systems cause more bugs than any other geospatial topic; understand why you cannot mix WGS84 and a projected CRS in one calculation Use real local data (OpenStreetMap for Uyo, NASA/Copernicus satellite imagery) — a local case study is far stronger in assessment than a foreign one The surveillance-ethics angle connects straight back to DTS 318; smart-city sensing is one of the sharpest privacy trade-offs in the field
Where can I find UUY-DTS 424 lecture notes and past questions?
Areté (https://www.aretecyb.tech/courses/uuy-dts-424) carries 2 recommended textbooks for UUY-DTS 424, plus an AI tutor that has read the outline. It is free for University of Uyo students — sign in with your email, no password.

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