Computers in the Earth and Environmental Sciences

3 credits · Undergraduate Programs

Topics in statistical analysis emphasizing geoscientific applications. Error analysis, Taylor series, curve fitting, statistical analysis of spatial data, multivariate data analysis, interpolation. Numerical algorithms for estimation of model parameters. Objective functions, norms, curve fitting, linear least squares regression, and linearization of models/data. Use of spreadsheet software and Python for implementation. Prerequisite(s): 3 units from Earth 330, Earth 360, Geology 401, Geophysics 351; Mathematics 211; Mathematics 267 or 277; 3 units from Computer Science 217, 231, 235, Data Science 211 Antirequisite(s): Credit for Earth 365 and either Geophysics 420 or Geology 597 will not be allowed.