ENVS3370 · Environmental Studies
Morrissey College of Arts & Sciences
Geospatial data and technologies permeate every aspect of our lives, from the navigation apps on our smartphones to the intricate management of city infrastructure and natural resources. This course introduces the fundamental principles and methodologies in geospatial analysis. Students acquire essential knowledge and skills in GIS, remote sensing, statistical modeling, AI, and more. Real-world case studies provide practical applications for how geospatial approaches can tackle challenges such as climate change, food and water security, and public health. Learning geospatial data quantitative analysis is imperative for effective environmental analysis, management, and communication, empowering students to contribute meaningfully to a sustainable future.
Course experience
Averages use the original five-point historical evaluation scale.
Organization
4.5 / 5
How well the course was organized
Challenge
4.1 / 5
How intellectually challenging students found it
Attendance
4.3 / 5
How necessary attendance was
Assignments
4.5 / 5
How helpful assignments were
Weekly effort
~3
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.
Student perspective
Recovered and new anonymous comments are shown as written and may reflect different course formats.
Oct 15, 2025 · Historical comment
Super nice and sweet lady. Quizzes were fair. Labs were very easy to follow and complete. There is a lot of freedom with the final project, and a lot of time to complete all the assignments. Very open to moving due dates as well. She's very enthusiastic, very nice, and overall just great energy
Across time
Section-level results available in the recovered archive.
Spring 2025
1 section