An introduction to data analysis techniques, including but not limited to, filtering, interpolation techniques, transforms, and correlation analyses. A variety of applications from various fields will be used to illustrate these techniques, including earth sciences (seismology), economics (financial data), atmospheric sciences (climate change), medicine (electrocardiograms), and engineering (circuit analysis). Antirequisite(s): The former Earth Sciences 322a/b. Prerequisite(s): 0.5 course from Calculus 1000A/B, 1100A/B, 1500A/B or Mathematics 1225A/B; or Applied Mathematics 1413. Corequisite(s): Pre-or Corequisite(s): 0.5 course from Calculus 1301A/B, 1501A/B, Applied Mathematics 1201A/B or the former Calculus 1201A/B, Mathematics 1228A/B, 1229A/B, 1600A/B or the former Linear Algebra 1600A/B, Statistical Sciences 1024A/B. Extra Information: 2 lecture hours, 3 laboratory hours, 0.5 course. back to top
