Big Data in Sustainability Science - Period 4

Data is everywhere around us. But how can we make use of all this data to answer questions in sustainability sciences? How can twitter data help us to understand where and how severe people are affected by droughts? Or how can we use satellite data to understand how wildfires affect us?
In the course Big Data in Sustainability Science, students will learn the tools and knowledge to work with large datasets that are widely used within sustainability sciences. This ranges from machine-learning approaches to identify objects on satellite images, to working with international supply-chain data to understand global patterns in food, energy and material use.

Contact hours listed under a course description may vary due to the combination of lecture-based and independent work required for each course therefore, CEA's recommended credits are based on the ECTS credits assigned by VU Amsterdam. 1 ECTS equals 28 contact hours assigned by VU Amsterdam.