Nutrient Loading Module part of Project EDDIE:Teaching Materials:Modules
Estimating nutrient loads is a critical concept for students studying water quality in a variety of environmental settings. Many STEM/Environmental science students will be asked to assess the impacts of a proposed anthropogenic activities on human water resources and/or ecosystems as part of their future careers. This module engages students in exploring factors contributing to the actual loads of nitrogen that are transmitted down streams. Nitrogen is a key water quality contaminant contributing to surface water quality issues in fresh, salt, and estuarine environments. Students will utilize real-time nitrate data from the US Geological Survey to calculate nitrate loads for several locations and investigate the interplay of concentration and discharge that contributes to calculated loads.

Virtual Geologic Mapping Exercise at Lough Fee part of Cutting Edge:Enhance Your Teaching:Teaching with Online Field Experiences:Activities
The Virtual Geologic Mapping Exercise is designed to simulate an introductory field mapping exercise. Students load a KML file in Google Earth that includes real outcrop data in the form of dots and orientation ...

Getting started with Structure from Motion (SfM) photogrammetry part of Cutting Edge:Enhance Your Teaching:Teaching with Online Field Experiences:Activities
Structure from Motion (SfM) photogrammetry method uses overlapping images to create a 3D point cloud of an object or landscape. It can be applied to everything from fault scarps to landslides to topography. This ...

Stress Map part of Teaching Computation with MATLAB:Past Workshops:MATLAB Workshop 2024:Activities
Use earthquakes from the global CMT catalog to look at crustal stresses in a given region of the Earth. Students will download earthquake data from an online catalog and make 2 tectonic maps. One map is of the ...

Discover Plate Tectonics part of Guided Inquiry Introductory Geology Labs:Activities
This is a student-centered activity for a synchronous online course where students access google slides to complete during a video conferencing session (eg. Zoom) in break out rooms. Students will be introduced to ...

Molecular Parasitology part of CUREnet:CURE Collection
In Spring 2021, we piloted a mini-CURE where student groups from University of Mary Washington and Georgia State University collaboratively completed research projects as part of a research-intensive course on Molecular Parasitology. The benefits of this approach were immediately obvious as students interacted across institutions, learned from each other's disciplinary expertise while informing their own research with data collected by their collaborators.

Data Representation in MATLAB: From Raw Data to Insight part of Teaching Computation with MATLAB:Past Workshops:MATLAB Workshop 2025:Activities
This activity is a hands-on computational lab where students import, validate, inspect, and visualize three heterogeneous data types (spreadsheets, audio, images) to discover MATLAB's unified array-based data ...

Dimensional Analysis and Flow Visualization Using MATLAB part of Teaching Computation with MATLAB:Past Workshops:MATLAB Workshop 2025:Activities
In this MATLAB-based activity, students develop two general computational modules, one for automated dimensional analysis using the Buckingham π theorem, and another for streamline and pathline visualization for ...

Control Systems using Simulink part of Teaching Computation with MATLAB:Past Workshops:MATLAB Workshop 2025:Activities
Analytically solving differential equations representing dynamic systems can sometimes distract from the physical implications of the model. In this module, the dynamic equations of a DC motor are used as a ...

ERP Peak Detective: Introduction to Event-Related Potential Analysis with MATLAB part of Teaching Computation with MATLAB:Past Workshops:MATLAB Workshop 2025:Activities
This scaffolded laboratory activity introduces students with minimal programming experience to Event-Related Potential (ERP) analysis using MATLAB. Students progress from interactive visual exploration of neural ...