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

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

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.

REN R 906B - Research Project

3 units (fi 12)(VAR, UNASSIGNED)

The final research project that comprises REN R 906 is a final capping exercise for the degrees of MAg and MF. Its practical and professional focus should integrate the core areas of study in the program. The successful completion of the project entails (1) a research topic approved by the supervisor; (2) the presentation of a draft research proposal; and (3) the presentation of the research as a written document to the supervisor. The project may take the form of any of the following: (1) a formal analysis of management practice, organizational processes or policy; (2) a formative or summative evaluation of a research project or program; (3) a case study, using secondary documents, survey data, or interviews; or (4) replication of a previous study, with either the introduction of a new variable or an analysis in a changed context.