- 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.