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This course aims to reveal past epidemics by utilizing a precise integration of archaeological, historical, anthropological, climatic, and genetic datasets. The learning outcomes include understanding the impact of disease on society, particularly malaria, over the last 300 years. Students will learn data science approaches to extract critical features of the human-malaria relationship. The teaching method involves analyzing rich datasets from two regional contexts and using data mining techniques to uncover insights. The intended audience for this course includes researchers, historians, archaeologists, and data science enthusiasts interested in the intersection of disease, society, and data analysis.
