This course aims to teach learners about utilizing big data and algorithms for ecology and conservation purposes. The learning outcomes include understanding novel data sources for ecological research, fitting models, testing hypotheses, making predictions, and reasoning about human impacts on biological processes at large scales. The course covers skills such as working with collective graphical models for probabilistic reasoning and utilizing stochastic network design for optimizing network behavior. The teaching method involves a seminar format with a duration of 56 minutes. The intended audience for this course includes researchers, scientists, and professionals in the fields of ecology, conservation, and data science.
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