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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.

Subject:
Mathematics
Material Type:
Unit of Study
Author:
Helen Brock
Sabrina Kirwan
10/21/2016
Unrestricted Use
CC BY
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This module introduces the concept of modeling existing data with functions.

Subject:
Algebra
Material Type:
Provider:
Rice University
Provider Set:
Connexions
Author:
Kenny Felder
02/16/2011
Unrestricted Use
CC BY
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This module discusses the concept of modeling data with linear functions in Algebra.

Subject:
Algebra
Material Type:
Provider:
Rice University
Provider Set:
Connexions
Author:
Kenny Felder
02/16/2011
Unrestricted Use
CC BY
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This module introduces the concept of modeling data with parabolic functions in Algebra.

Subject:
Algebra
Material Type:
Provider:
Rice University
Provider Set:
Connexions
Author:
Kenny Felder
02/16/2011
Unrestricted Use
CC BY
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This module introduces the concept of modeling data using regression lines on a calculator.

Subject:
Algebra
Material Type:
Provider:
Rice University
Provider Set:
Connexions
Author:
Kenny Felder
02/16/2011
Only Sharing Permitted
CC BY-ND
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This video gives a quick overview of data modeling.

Subject:
Computer Science
Material Type:
Lesson
Author:
Los Angeles Pacific University
12/07/2020
Conditional Remix & Share Permitted
CC BY-NC-SA
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This course introduces the basic techniques of demographic analysis. Students will become familiar with the sources of data available for demographic research. Population composition and change measures will be presented. Measures of mortality, fertility, marriage and migration levels and patterns will be defined. Life table, standardization and population projection techniques will also be explored.

Subject:
Health, Medicine and Nursing
Material Type:
Full Course
Homework/Assignment
Lecture Notes
Syllabus
Provider:
Johns Hopkins Bloomberg School of Public Health
Provider Set:
JHSPH OpenCourseWare
Author:
Nafissatou Sidibe
Stan Becker
02/16/2011
Only Sharing Permitted
CC BY-NC-ND
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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.

Material Type:
Unit of Study
Author:
Chris Dubia
Joel Long
Daniel Baldwin
01/28/2016
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CC BY-NC-SA
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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.

Subject:
Engineering
Environmental Science
Finance
Environmental Studies
Atmospheric Science
Material Type:
Full Course
Provider:
Penn State's College of Earth and Mineral Sciences
Author:
Jim Detwiler
Jim Sloan
10/07/2019
Educational Use
Rating
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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.

Subject:
Mathematics
Algebra
Statistics and Probability
Physical Science
Chemistry
Material Type:
Activity/Lab
Provider:
TeachEngineering
Provider Set:
TeachEngineering
Author:
Brian Palacios