Professional Development Courses
- MEES601: Applied Environmental Science
- MEES602: Introduction to R Programming
- MEES603: Responsible Conduct of Research
- MEES607: Quantitative Methods in the Environmental Sciences
- MEES609B: Scientific Job Skills 101
- MEES609C: Skills for Team Science
- MEES609D: Multivariate Analysis
- MEES612: Applied Bayesian Statistics
- MEES613: Environmental Statistics I
- MEES615: Scientific Writing and Communication
- MEES618D: Ethical Aspects of Environmental Science
- MEES702: R Programming (Intro. and Advanced)
- MEES708T: Science Visualization
- MEES713: Environmental Statistics II
- Machine Learning in Python
Electives
- MEES482/682 Physiological Ecology of Animals
- MEES484/684: Marine Microbial Ecology (MEES484 Syllabus)
- MEES498/698I: Chesapeake Bay Health
- MEES498/698Q: Global Climate Change
- MEES498/698T: Marine and Environmental Biotechnology
- MEES608M: Species Distribution Modeling in R
- MEES608U: Coastal Risk and Resilience
- MEES611: Estuarine Systems Ecology
- MEES614: Spatial Ecology in R
- MEES617: Hydrological Effects of Land Use Change
- MEES621: Biological Oceanography
- MEES622: Sustainability Science: Quantitative and System Approach
- MEES627: Biogeochemistry
- MEES631: Fish Ecology
- MEES637: Plankton Ecology
- MEES661: Physics of Marine and Estuarine Environments
- MEES663: Ecological Genomics
- MEES682: Fisheries Science and Management
- MEES685: Topics in Omics
- MEES687: Next-Generation Sequence Analysis
- MEES698K: Introduction to GIS
- MEES698M: Modeling Chemical Equilibrium in Natural Waters
- MEES698R: Stable Isotopes in Environmental Research
- MEES698V: Environmental Field Methods
- MEES698X: Global Environmental Remote Sensing
- MEES698Y: Science for Environmental Management
- MEES698: Fire and Ecosystems
- MEES712: Advance Population Dynamics and Assessment
- MEES743: Aquatic Toxicology
- MEES753: Sediment Dynamics in Coastal and Estuarine Environments