Provides credit for doing work in pursuit of the undergraduate thesis option for majors in Environmental Science

This is an introductory course focusing on the theory and application of Geographic Information Systems (GIS) Technology. The course combines related theory with practical laboratory assignments.

The principles of oceanography with views on real world applications, especially to the teaching of this class at the high school as well. Prerequisite: At least one year of college-level chemisty or physics or instructor permission..

This course will equip students with some of the most commonly used deep learning architectures. We will explore feed-forward networks, convolutional neural networks, UNETs, encoders-decoders, generative adversarial networks and transformers. We will also analyze tools of explainable AI. Focused on environmental applications, students will apply these techniques to real-world data, solving problems in prediction, pattern recognition, and data-driven insights. Solid background in probability, statistics, and in coding (preferably Python) is recommended for enrollment in this course. 

This course provides the opportunity to offer a new course in the subject of atmospheric sciences.

This course provides the opportunity to offer a new course in the subject of geosciences.

This course provides the opportunity to offer a new course in the subject of hydrology.

Study of hydrologic processes characteristic of forested regions. Prerequisite: Introductory hydrology or instructor permission.

This course covers the fundamental processes governing biogeochemical cycling of carbon, nitrogen, and inorganic elements across diverse soils: farmlands, forests, and wetlands. This course emphasizes quantitative assessment of pools and fluxes, key biological interactions, and perturbations by humans.

Studies the processes that shape the land surface and their relationship to human activity. Prerequisite: EVSC 2800 or 3600.