The team of Academician Wu Zhiqiang introduced the highlights of the urban diagnosis curriculum system from four aspects: global, regional, inner life of the city and urban constituent elements. Aiming at the pain points and difficulties of the city, using big data and artificial intelligence technology to quantitatively analyze and mine the internal information of the data, based on the multi-source data such as urban history and current situation data, urban spatio-temporal big data, combined with the development law of the world city and independently developed algorithm models The library, intelligently diagnoses the five major areas of urban ecology, industry, social life, region, and transportation, realizes the vertical and in-depth exploration of the target city, and provides ideas for the scientific and sustainable development of the city.

This course have 3 lectures, 0.1 hour of learning. The resources of the course are all in video format. After completing all 3 lecture videos, you can get a certificate to prove that you have completed this course.

Completing all learning activities of this course means passing the assessment of this course.

Academician Wu Zhiqiang Team