EESC4464 · Earth and Environmental Sciences
Morrissey College of Arts & Sciences
Earth and environmental science increasingly depends on scientific programming to explore and analyze large datasets from in situ and autonomous observations, satellite remote sensing, and numerical model output. In this course, students will learn to use MATLAB to visualize earth system data across broad spatial and temporal scales in maps and time-series plots and apply statistical tools to analyze trends and variability in their datasets. Students will also learn to critically assess datasets and to select and justify appropriate data sources and analytical methods to address scientific questions about earth system processes. Students will practice these skills in a series of data analysis assignments focused on regional and global climate data and will apply them in a team-based final research project.
Course experience
Averages use the original five-point historical evaluation scale.
Organization
4.8 / 5
How well the course was organized
Challenge
4.8 / 5
How intellectually challenging students found it
Attendance
4.7 / 5
How necessary attendance was
Assignments
4.7 / 5
How helpful assignments were
Weekly effort
~6
hours per week
Estimated from the original workload response buckets. Individual sections may differ.
Instructor options
Ratings below reflect only recovered evaluations connected to this course.
Across time
Section-level results available in the recovered archive.
Spring 2024
1 sectionSpring 2022
1 sectionSpring 2021
1 sectionSpring 2020
1 section