E-PSCI 102. Data Analysis and Statistical Inference in the Earth and Environmental Sciences

Semester: 

Spring
  • Professor: Steven Wofsy, Roger Fu
  • Term: Spring
  • Days: W, F
  • Time: 1:30-2:45
  • School: Faculty of Arts and Sciences
  • Course ID: 216019
  • Subject Area: Earth and Planetary Sciences

Statistical inference, deterministic and stochastic models of data, denoising and filtering, data, visualization, time series analysis, image processing, Monte Carlo methods. The course emphasizes hands-on learning using real data drawn from atmospheric and environmental observations, applied by students in projects and presentations.

Notes: EPS 102 is also offered as ESE 102. Students may not take both for credit.

Recommended Prep: Math or Applied Math 21 a and b or equivalent.