· Identify urban data representation techniques for decision-making.
· Build representative systems based on real data to identify and solve urban problems.
· Urban Representation Systems (vector data, raster data, alphanumeric data)
· Cleaning and processing graphical environments.
· Data management using spreadsheets and databases.
· Basic representation of urban topologies (nodes, networks, polygons)
· Exploitation and queries of an interconnected urban system (graphics linked to data)
Problem-solving and exercise classes
Laboratory practices
Seminars
Self-paced learning
Project-based learning
Peer instruction
Real-world events
Challenge-based learning
Lecture-based teaching
Exams
Assignments
Internal/External Reports
Exercises, problems, practices
Projects
Group/Individual Presentations
Self-evaluation
Class participation/attendance
Critiques by a panel/jury