REN R 690 - Multivariate Statistics and Machine Learning for the Environmental Sciences

3 units (fi 6)(SECOND, 3-0-3)

Faculty of Agricultural, Life and Environmental Sciences

Covers methods for visualization, analysis and prediction for complex biological or environmental data. Includes classical and modern approaches to ordination and classification, analysis of multivariate relationships, and the application of deep neural networks and other machine learning tools for prediction. Participants engage in problem-based learning by analyzing data from their thesis research project. Students without a suitable dataset should enroll in two or more 1 unit REN R 58X courses instead. Prerequisite: 3 units introductory statistics recommended.