Planned Courses

Advanced Quantitative Risk Assessment

The is a graduate level course to introduce quantitative risk assessment using open sources data and tools. The course is based on Python and several modules will be included. These modules include Data collection for geographical distribution of Assests and Hazards including tropical cyclones, storm surge, rainfall, earthquake and meteorological hazards, Extreme Value Analysis, Time Series Analysis, Economic Damage Assessment using damage functions, and Adaptation Analysis.

Introduction to Urban Data Science

This course equips students with the knowledge and skills necessary to address evolving urban issues. Students will be introduced to various types of open data and the approaches and techniques for analyzing them. Key components of the course include Exploratory Spatial Data Analysis, Geo-Visualization, Network Analysis, and Machine Learning Techniques. Through these components, students will learn to leverage advanced analytical methods to solve complex urban challenges.

Geoinformation for Digital Planning

The course aims to introduce students data, tools, techniques, and applications of digital planning. Topics include digital planning systems, digital twin techniques and applications, three-dimensional mapping techniques, and city simulation models.