This unit was developed for a junior level pre-Calculus class to be taught during the first quarter of the 2016-17 school year. The lessons of the unit will culminate in each group of students creating and analyzing a mathematical model to predict the future impacts of climate change in New Hampshire and make a presentation as a group. The texts and historic data source, while specific to New Hampshire, may be of interest to other regions of the country. However, state climate change reports and climate data specific to your location may be available through state universities and meteorological stations.

This course addresses information technology fundamentals, including project management and software processes, data modeling, UML, relational databases and SQL. Topics covered include internet technologies, such as XML, web services, and service-oriented architectures. This course provides an introduction to security and presents the fundamentals of telecommunications and includes a project that involves requirements / design, data model, database implementation, website, security and data network. No prior programming experience required.

Mapping mangroves is a project dedicated to preservation and understanding of the world's mangrove forests. Through the use of Ushahidi, an open source project that allows for users to crowdsource data, participants will report their findings.

A spatial database is the backbone of a successful organization or website that depends upon maintaining and using data pertinent to locations on Earth. In GEOG 868, Spatial Database Management, capabilities specific to Relational Database Management Systems (RDBMS) and Geographic Information Systems (GIS) are combined to teach students to create, maintain, and query spatial databases in both desktop and enterprise environments. Learn the basics of Standard Query Language (SQL) and database design/normalization, the specifics of managing spatial data in an open-source technologies context (Postgres/PostGIS) and in the context of the Esri geodatabase. Along the way, you will become familiar with spatial functions and versioning, the latter in a server environment hosted by Amazon Web Services.

This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"Solid organ transplant recipients need immunosuppressive therapy for the rest of their lives and have more distinct virus populations in their microbiome than people without suppressed immune systems. But we do not yet know if, or how much, the donor’s virome impacts the recipient’s virome, particularly in parts of the body other than the transplanted organ. To narrow this gap, a recent study applied a data modeling approach to the viral communities in the airway and plasma of lung transplant recipients. Differences between plasma and airway viromes increased during the first year after implantation, but the viromes from the same body site and in different patients became more similar over time. Time after transplantation was significantly associated with virome composition variance for airway samples but not plasma samples..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

Students act as food science engineers as they explore and apply their understanding of cooling rate and specific heat capacity by completing two separate, but interconnected, tasks. In Part 1, student groups conduct an experiment to explore the cooling rate of a cup of hot chocolate. They collect and graph data to create a mathematical model that represents the cooling rate, and use an exponential decay regression to determine how long a person should wait to drink the cup of hot chocolate at an optimal temperature. In Part 2, students investigate the specific heat capacity of the hot chocolate. They determine how much energy is needed to heat the hot chocolate to an optimal temperature after it has cooled to room temperature. Two activity-guiding worksheets are included.