Students read news reports and first-person accounts to imagine what it would be like to be in a blackout in a large city. They follow news reports as if the event were unfolding in real-time and keep weblogs or journals of their experience as they imagine it, taking on different roles of people who live in the city or commute there to work. They use their journal accounts to create a play or screenplay that depicts what the August 2003 blackout was like for the people in the U.S. and Canada who experienced it. Although this activity is geared towards fifth-grade and older students, it could be easily adapted for younger students.

The class forms a "Presidential Task Force" for a week, empowered by the president to find answers and make recommendations concerning the future of the national power grid. Task force members conduct daily debriefings with their research team and prepare a report and presentation of their findings for the president, using an actual policy document as a guide. Although this activity is geared towards fifth-grade and older students and Internet research capabilities are required, some portions may be appropriate for younger students.

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:

"For about 40 minutes in 2013, the world was in panic. Cloud services for internet retail giant Amazon had crashed. In less than an hour, Amazon had lost an estimated 5 million dollars in sales. It’s an operational standstill feared by cloud users and operators alike. Unfortunately, most methods for detecting the faults that lead to such crashes tend to be inefficient and inaccurate. But now, a team of researchers from China, Saudi Arabia, and the US has developed one of the best detection methods yet—based on a machine learning tool known as a support vector machine. A support vector machine is a classification-based learning algorithm. For the simple task of classifying circles by color, the algorithm takes a set of examples and determines the dividing line or plane that maximizes the separation between the two classes. That provides the widest margin of classification error, preventing any new circles from being mislabeled..."

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

Students learn and discuss the advantages and disadvantages of renewable and non-renewable energy sources. They also learn about our nation's electric power grid and what it means for a residential home to be "off the grid."

Working in groups, students look at three different villages in various parts of Africa and design economically viable engineering solutions to answer the energy needs of the off-the-grid small towns, given limited budgets. Each village has different nearby resources, both renewable and nonrenewable. Student teams conduct research, make calculations, consider the options and create plans, which they present to the class. Through their investigations and planning of custom solutions for each locale, they experience the real-world engineering research and analysis steps of the engineering design process.

This course covers theories about the form that settlements should take and attempts a distinction between descriptive and normative theory by examining examples of various theories of city form over time. Case studies will highlight the origins of the modern city and theories about its emerging form, including the transformation of the nineteenth-century city and its organization. Through examples and historical context, current issues of city form in relation to city-making, social structure, and physical design will also be discussed and analyzed.

Students learn about ultrasound and how it can be used to determine the shapes and contours of unseen objects. Using a one-dimensional ultrasound imaging device (either prepared by the teacher or put together by the students) that incorporates a LEGO(TM) MINDSTORMS(TM) NXT intelligent brick and ultrasonic sensor, they measure and plot the shape of an unknown object covered by a box. Looking at the plotted data, they make inferences about the shape of the object and guess what it is. Students also learn how engineers use high-frequency waves in the design of medical imaging devices, the analysis of materials and oceanographic exploration. Pre/post quizzes, a worksheet and a LEGO rbt program are provided.

In this Cyberchase video segment, the CyberSquad must locate each other using a map's grid to construct a coordinate system using letters and numbers.

Students research the feasibility of installing a wind-turbine distributed energy (DE) system for their school. They write a proposal (actually, the executive summary of a proposal) to the school principal based on their findings and recommendations. While this activity is geared towards fifth-grade and older students, and Internet research capabilities are required, some portions of this activity may be appropriate for younger students.