Quantitative Analysis in D. R.

Catalog description

Introduces students to quantitative data principles, methods, and applications relevant to disaster resilience practice and research. It emphasizes the practical application of data to assess quality of evidence and contribute to knowledge through systematic inquiry, including comprehension of data collection and research methods relevant to disaster resilience data creation. Understanding the scope and application of data in disasters is stressed. Methods in statistics and epidemiology are foundational. The one-credit lab section builds on the lecture, introducing skills in computation for data processing and interpretation.