Brief Course Description
1. Course Title:
Spatial Analytics for Urban and Transport Planning
2. Language of Instruction:
Vietnamese
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:
The subject "Spatial Analytics for Urban and Transport Planning" equips students with fundamental and in-depth knowledge of collecting, managing, processing and analyzing spatial data in the field of transport planning and urban development. Through the subject, students will clearly understand the role of spatial data in assessing the current situation, analyzing transport and urban issues, thereby creating a basis for developing reasonable planning options. Students will have access to modern analysis methods such as geographic information systems (GIS), spatial data modeling and tools to support transport network analysis, helping to improve spatial thinking and handling practical problems.
In addition to mastering theory, the subject also focuses on developing practical skills and applying specialized software such as ArcGIS, QGIS or other spatial analysis tools. Students will practice on real data sets to build maps, traffic models, analyze accessibility, assess population density, urban infrastructure, thereby supporting optimal planning decisions. The ultimate goal is to help students effectively apply spatial data in planning, designing and managing traffic systems and sustainable urban development, meeting the practical requirements of modern society.