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This 3-credit course is designed to provide a foundational understanding of the interplay and coevolution of social (human) systems and ecosystems based on empirical environmental events. It also deliberates the sustainable development perspectives and tries to draw basic principles and orientations for sustainable development and relevant policy measures. In addition, pertinent challenges in the path to sustainable development, such as environmental justice and the valuation of nature, will be discussed. This course aims to build students’ capacity to make reasonable and environmentally-sound decisions based on a basic understanding of sustainable development and related challenges.
Recently, various energy and environmental data have been collected according to the deployment of sensors. This course aims to explore the implications of recent studies using big data in energy and environment-related fields. Also, hands-on exercises will give students some ideas on how to deal with the actual energy and environmental big data.
This seminar class is based on student’s active participation. This class includes 2-3 in-class hands-on exercises, which don’t require prerequisite knowledge of Python. Also, students’ weekly presentations of the assigned articles. Students are required to develop and present a research proposal based on the data science approach.
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