Invisible Threats: Ocean Acidification and the Climate Connection
Students will be learning about climate change, learning how carbon dioxide is being released into the atmosphere from fossil fuels, volcanos and livestock.
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Students will be learning about climate change, learning how carbon dioxide is being released into the atmosphere from fossil fuels, volcanos and livestock.
Data collection through a simulation of ocean acidification will demonstrate the effects on coral reefs. Statistical analysis of bivariate data and conclusions of human impact on the environment are central themes.
Students work in teams to redesign a student-used area on campus or create a new space, following the design thinking process. They will interview peers, analyze data, and synthesize information to create a “composite user” profile, then present a physical model of their improved space.
Students will compare potable water (tap, bottled, mineral), its cost, taste, safety, and unseen costs (consequences) of drinking certain types of water. They will use the data to determine which is the least expensive (most accessible), safest, eco-friendly.
Given the rise of information and data in today’s world, we need various methods and approaches to analyze them, whether it is to make predictions from given information or to categorize them into different groups based on observed trends.
Students will use semiconductors to perform mathematical operations which helps to solve their matrices.
Using Combinatorics to Create Strong Passwords
In the ideal math world, we are able to write a single equation that can perfectly model a situation. However, if we collect actual data from the real world, we will almost always not be able to write one equation that will completely match the data.
Students will investigate how a switch to electric vehicles will affect climate change, and if the costs incurred will be low enough to convince the average consumer that it is a worthwhile investment.
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