Credit Weight: 0.5 Description: Pt. 1 – Descriptive (measures of central tendency and dispersion) and inferential (regression, ANOVA, t-tests) statistics. Use of statistical (SPSS, DataDesk) and spreadsheet/graphing (Excel) software.Pt. 2 – Principles of empirical and process-based models as used in natural resources management. Types of models, model development, model validation and gaming. Grade Scheme: Pass/Fail Offering: 2 hours/day for 22 days = 44 hours (1 hour lecture; 1 hour lab/tutorial each day) Notes: May only be taken by students in the Transition Program for the HBScF or HBEM.
