Data Analysis and Statistical Inference in the Earth and Environmental Sciences
ESE 102
Subject & Catalog Number
Jointly Offered with:
Faculty of Arts & Sciences as E-PSCI 102
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Course Information
Description
Statistical inference, deterministic and stochastic models of data, model selection, Monte Carlo methods, denoising and filtering, data visualization, and time series analysis. The course emphasizes hands-on learning using real data drawn from atmospheric and environmental observations, applied by students in projects and presentations.
Course Notes
There is one half-day field trip to the Middlesex Fells to take data for the semester-long project. ESE 102 is also offered as EPS 102. Students may not take both for credit.
Recommended Prep
Math 21 or Applied Math 22 a and b or equivalent.
School
Faculty of Arts & Sciences
Credits
4
Cross Reg
Available for Harvard Cross Registration
Department
Environmental Sci & Engineer
Course Component
Lecture
NOTE: This course requires additional sections; you will be prompted to choose secondary components during the Add to Cart process
Subject
Environ Science & Engineering
Grading Basis
FAS Letter Graded
Exam/Final Deadline
Dec. 18, 2026
General Education
N/A
Quantitative Reasoning with Data
Yes
Divisional Distribution
Science & Engineering & Applied Science
Course Level
For Undergraduate and Graduate Students
