Brief Course Description
1. Course Title:
Spatial Analytics for Urban and Transport Planning
2. Language of Instruction:
Tiếng Việt
3. Course Code:
SCM649003
4. Credits:
3
5. Course Objectives:
The course provides techniques and methods for collecting and harvesting spatial data for network analysis, using GIS to analyze real-world problems in order to give students an understanding of the spatial implications of decision-making and the potential to use large spatial datasets for a variety of analytical in-depth aspects.
6. Brief Description of Course Content:
This unit starts by introducing students to the 'building blocks' of spatial data and the Geographic Information Systems (GIS), including data structures, data visualization, graphic design, and spatial analysis. The unit then focuses on techniques and methods for collecting and harvesting spatial data for network analyses, which are essential to urban and transport planning. The unit is hands-on involving learning how to use the latest GIS software to analyse real-world problems using real 'big data' and to communicate the results in a persuasive way. These include identifying potential demand for new services or infrastructure, creating a delivery and scheduling plan for a delivery firm, or examining the behaviour of travellers or consumers over time and locations. This unit is aimed at students interested in the spatial impact of decision-making and on the potential for using large spatial datasets for in-depth multi-faceted analytics.