E-PSCI 236. Environmental Modeling and Data Analysis

Semester: 

Fall
  • Professor: Steven Wofsy, Daniel Jacob
  • Term: Fall
  • Days: W, F
  • Time: 3:00-4:15
  • School: Faculty of Arts and Sciences
  • Course ID: 120783
  • Subject Area: Earth and Planetary Sciences

Graduate-level introduction to environmental modeling and data analysis: data visualization, statistical inference, Bayes Theorem, optimal estimation, adjoint methods, Monte Carlo methods, time series analysis, denoising; principles and numerical methods for chemical transport and inverse models.

Notes: The course time is flexible. Lecture and section times will be chosen in consultation with students to maximize participation. Focused on computer-based projects, 2- 4 hours per week, in small groups, adapted for on-line instruction in 2020. Suitable for: graduate students and advanced undergraduates in Earth and Planetary Sciences, Environmental Science and Engineering, Applied Math, Chemistry, and Physics. At MIT: EAPS, Civil & Environmental. Helpful to have preparation in differential equations, or atmospheric science, but not required.

Recommended Prep: Applied Mathematics 105; a course in atmospheric chemistry (EPS 133 or 200 or equivalent); or permission of the instructors.