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

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 students with an overview of the use of meteorological research and weather information in various areas in society including agriculture, aviation, and recreation.

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

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.

Cover fundamental and recent advances in Soil Biogeochemistry, with an emphasis on literature describing fundamental processes governing abiotic-biotic elemental transformations and key human perturbations.

Specialized topics in ecology, atmosphere, hydrology, environmental geology, or environmental systems not normally covered in formal classes under the direction of the faculty. Prerequisite: Instructor permission.

Basic concepts have been covered in EVSC 7012 Introduction to Remote Sensing. As an upper-level class in remote sensing, in this seminar, we will focus on advanced remote sensing techniques at different spatial scales (ground, airborne, and space). We will read scientific papers on the application of remote sensing, and provide hands-on training on coding and field spectroscopy and drone flights.

Study of ecohydrologic processes characteristic of arid and semiarid regions. Prerequisites: Any introductory hydrology class or instructor permission.

Geographical data is increasingly important i n understanding our society and our environment. This course will focus on teaching stiudents advanced principles and operation of GIS software. It's a im is to develop students who are prepared to apply GIS to a variety of research problems by expoing them to tools and techniques that go beyond those covered in a basic course on GIS. Prerequisite: EVSC 5020 or equivalent experience