Ecological Forecasting and Informatics
CAS EE 585
Undergraduate Prerequisites: BI 303 or BI 306; MA 121 or MA 123; MA 115 or MA 213 or GE/EE 375; or consent of instructor. - The statistics and informatics of model-data fusion and forecasting: data management, workflows, Bayesian statistics, uncertainty analysis, fusing multiple data sources, assessing model performance, scenario development, decision analysis, and data assimilation. Case studies highlight ecological forecasting across a range of subdisciplines. Effective Fall 2020, this course fulfills a single unit in each of the following BU Hub areas: Oral and/or Signed Communication, Ethical Reasoning, Teamwork/Collaboration.
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