After completing the various activities in this lesson, students will be able to understand the importance for a healthy body to be able to do an activity for 1 - 5 minutes.

“The Art of the Probable” addresses the history of scientific ideas, in particular the emergence and development of mathematical probability. But it is neither meant to be a history of the exact sciences per se nor an annex to, say, the Course 6 curriculum in probability and statistics. Rather, our objective is to focus on the formal, thematic, and rhetorical features that imaginative literature shares with texts in the history of probability. These shared issues include (but are not limited to): the attempt to quantify or otherwise explain the presence of chance, risk, and contingency in everyday life; the deduction of causes for phenomena that are knowable only in their effects; and, above all, the question of what it means to think and act rationally in an uncertain world.
Our course therefore aims to broaden students’ appreciation for and understanding of how literature interacts with – both reflecting upon and contributing to – the scientific understanding of the world. We are just as centrally committed to encouraging students to regard imaginative literature as a unique contribution to knowledge in its own right, and to see literary works of art as objects that demand and richly repay close critical analysis. It is our hope that the course will serve students well if they elect to pursue further work in Literature or other discipline in SHASS, and also enrich or complement their understanding of probability and statistics in other scientific and engineering subjects they elect to take.

The activities in this lesson help students understand how physical activity burns calories.

This course addresses the challenges of defining a relationship between exposure to environmental chemicals and human disease. Course topics include epidemiological approaches to understanding disease causation; biostatistical methods; evaluation of human exposure to chemicals, and their internal distribution, metabolism, reactions with cellular components, and biological effects; and qualitative and quantitative health risk assessment methods used in the U.S. as bases for regulatory decision-making. Throughout the term, students consider case studies of local and national interest.

This course addresses the challenges of defining a relationship between exposure to environmental chemicals and human disease. Course topics include epidemiological approaches to understanding disease causation; biostatistical methods; evaluation of human exposure to chemicals, and their internal distribution, metabolism, reactions with cellular components, and biological effects; and qualitative and quantitative health risk assessment methods used in the U.S. as bases for regulatory decision-making. Throughout the term, students consider case studies of local and national interest.

Earth's climate system is enormously complex, and scientists develop climate models to understand how climate change will play out in different parts of the world. Students play a climate resilience game, and then explore the Intergovernmental Panel on Climate Change’s 5th Assessment Report to learn more about how climate scientists handle uncertainty in models. This guide is an extension of the TILclimate episode "TIL about uncertainty."

Explore the future through modeling, reading, and discussion in an open-ended seminar! Our fields of interest will include changes in science and technology, culture and lifestyles, and dominant paradigms and societies.

This lab introduces basic chemistry concepts in molecular interactions, measurements, prediction, and critical thinking.

Students will learn the potential costs and benefits of social media, digital consumption, and our relationship with technology as a society in the three-week lesson. This inquiry based unit of study will answer the following questions:

Essential Question: How can we use science fiction’s ability to predict the future to help humanity?

Supportive Questions 1: What predictions of future development has science fiction accurately made in the past? This can include technology, privacy, medicine, social justice, political, environmental, education, and economic.

Supportive Question 2: What predictions for future development in contemporary science fiction are positive for the future of humanity? What factors need to begin in your lifetime to make these predictions reality?

Supportive Question 3: What predictions for future development in contemporary science fiction are negative for the future of humanity? What factors need to begin in your lifetime to stop these negative outcomes?

This video segment adapted from NOVA tells the tragic story of two Japanese seismologists who disagreed about the threat of earthquakes in the early twentieth century. Today, seismologists in California offer residents a probability of risk that an earthquake might occur.

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:

"Dietary fiber is an important part of a healthy diet, but how it interacts with our gut microbiome and the mechanisms underlying its benefits are poorly understood in humans. A recent exploratory trial examined how two structurally distinct purified fibers affected adults with excess weight. One of the dietary fibers, arabinoxylan (AX), was fermentable by the microbiome, while the second, microcrystalline cellulose (MCC), was not fermentable. An innovative technique called biorthogonal non-canonical amino acid tagging (BONCAT) was also used to identify specific microbes involved in AX fermentation. AX supplementation increased satiety after a meal compared to non-fermentable MCC. Using machine learning models, these effects on satiety could be predicted by BONCAT identified microbes that fermented AX. AX also attenuated insulin resistance relative to MCC, but the effects were not linked to the microbiome..."

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

The First Grade Elementary Framework for Science and Integrated Subjects, Sky Explorers uses observation of the sun and moon in the sky as a phenomena for exploring patterns of objects in the sky.  It is part of Elementary Framework for Science and Integrated Subjects project, a statewide Clime Time collaboration among ESD 123, ESD 105, North Central ESD, and the Office of Superintendent of Public Instruction. Development of the resources is in response to a need for research- based science lessons for elementary teachers that are integrated with English language arts, mathematics and other subjects such as social studies. The template for Elementary Science and Integrated Subjects  can serve as an organized, coherent and research-based roadmap for teachers in the development of their own NGSS aligned science lessons.  Lessons can also be useful for classrooms that have no adopted curriculum as well as to serve as enhancements for  current science curriculum. The EFSIS project brings together grade level teams of teachers to develop lessons or suites of lessons that are 1) pnenomena based, focused on grade level Performance Expectations, and 2) leverage ELA and Mathematics Washington State Learning Standards.

In this lesson students will learn about function machines and the data they generate.

Students use a hurricane tracking map to measure the distance from a specific latitude and longitude location of the eye of a hurricane to a city. Then they use the map's scale factor to convert the distance to miles. They also apply the distance formula by creating an x-y coordinate plane on the map. Students are challenged to analyze what data might be used by computer science engineers to write code that generates hurricane tracking models. Then students analyze a MATLAB® computer code that uses the distance formula repetitively to generate a table of data that tracks a hurricane at specific time intervals. Students come to realize that using a computer program to generate the calculations (instead of by hand) is very advantageous for a dynamic situation like tracking storm movements. Their inspection of some MATLAB code helps them understand how it communicates what to do using mathematical formulas, logical instructions and repeated tasks. They also conclude that the example program is too simplistic to really be a useful tool; useful computer model tools must necessarily be much more complex.

This course introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction. It includes formulation of learning problems and concepts of representation, over-fitting, and generalization. These concepts are exercised in supervised learning and reinforcement learning, with applications to images and to temporal sequences.
This course is part of the Open Learning Library, which is free to use. You have the option to sign up and enroll in the course if you want to track your progress, or you can view and use all the materials without enrolling.

Students complete an exercise showing logarithmic relationships and examine how to find the linear regression of data that does not seem linear upon initial examination. They relate number of BMD scanners to time.

Students will listen to a familiar story with repetitive lines that the children can remember. They will make puppets and retell the story in small groups with an adult volunteer or an older child. Main Curriculum Tie: English Language Arts Kindergarten Reading: Literature Standard 2, With prompting and support, retell familiar stories, including key details. All children will participate in retelling a familiar story using puppets. This will help develop oral language and comprehension.

This article discusses the reading instruction strategy of predicting and shows how it applies to science learning in the elementary school grades. It appears in the free online magazine Beyond Weather and the Water Cycle, which provides a first introduction to the Seven Essential Principles of Climate Literacy.

How did scientists figure out the structure of atoms without looking at them? Try out different models by shooting light at the atom. Check how the prediction of the model matches the experimental results.

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:

"People with diabetes who require basal insulin to achieve blood glucose control can be at risk of hypoglycaemia, where blood glucose levels drop too low. In randomised clinical trials (or RCTs), use of second-generation basal insulin analogues, such as insulin glargine 300 units/mL (known as glargine 300) and insulin degludec, results in similar glycated haemoglobin reductions compared with first-generation basal insulin analogues, such as glargine 100 and insulin detemir, but with less hypoglycaemia. However, it is not known whether these results translate directly to routine clinical practice, as RCTs often apply strict inclusion and exclusion criteria, meaning that they may not be generalisable to real-life situations. Electronic medical records are a source of rich real-world data, but using them to make comparisons between different treatments can be difficult because results might be biased by confounding data, something that the randomisation in RCTs is designed to minimise..."

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