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.
Credit Weight:
0.5
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.
Course Classifications:
Type C: Engineering, Mathematical and Natural Sciences