In this course, students will study methodology for building several environmental information systems. This course focuses on a new area that combines the environmental field and the information technology field, evolving independently. By acquiring large-scale environmental data from the “real environmental space” and by measuring the cause and effect of changes in the “environmental information space” with regard to people flow data, large-scale image data, and natural environment data, students will learn a method for designing and building an environmental information system. This system will equip them with (1) the ability to respond to medium- and long-term environmental changes by detecting changes that are taking place gradually during normal times, and (2) the capability to respond quickly to changes that occur due to sudden disruptions of the environment in an emergency. In recent years, with the development of sensors and faster storage devices with larger capacities, resized environmental data are being handled much more frequently than before. As a result, large-scale data processing technology has become essential for the understanding and scientific analysis of environmental data. In this course, the student will learn the construction of an environmental measurement, analysis, and information delivery system using ICT technology. Then, having acquired the capability to analyze actual environmental data, students will develop a scientific perspective that will enable them to consider both environmental data and constructive approaches to solutions. In particular, using hardware technologies that target the monitoring and control of the real environmental space, students will learn about environmental database systems, ubiquitous environment systems, and environmental video data processing. This study will include the technology for the control of sensors in the real environment, and an ICT technique to measure the cause and effect of environmental changes that occur in the environmental information space. The students will also learn about environmental modeling based on the results obtained from the information space. They will study the solving to ordinary differential equations and partial differential equations, which are fundamental to modeling, and will perform modeling exercises.