Others

Students will determine the advantages of combining green and gray infrastructure to repair/rebuild old infrastructure in sustainable, cost efficient ways by designing a rainwater collection apparatus (barrel) that combines green and gray infrastructure to use in gardening. 

Students will describe actions that can be taken to reduce the impact of harmful algal blooms by calculating the rate of algal growth to predict how oxygen levels will decrease after a given time and determine the best algal species to use for biofuel. 

Students measure and graph the absorbance of several samples of Kool-Aid and DI water in a variety of concentrations using a colorimeter to determine the concentration of an unknown Kool-Aid.

Students collect and analyze data from USACE and use the engineering design process to determine the benefits of dredging to predict future usage based on past data. 

Students research plastic and post-consumer products to engineer a water filtration device. 

Biology: Students use mathematical models as evidence to construct an explanation for the process of evolution. Math: Students discuss graphs that depict the rate of resistance for bugs to determine how the data might best be mathematically modeled. 

9 week introduction to the importance of cybersecurity to combat cyber crime and to understand what data and information used in social media platforms are used by companies. 

Students utilize digital logic and binary numbers to solve problems including hacking the hackers. 

By identifying and applying the five Big Ideas of Artificial Intelligence to train and test a machine-learning tool to classify drawings the students will be able to give examples of a bias that can arise in machine learning and understand how biases may arise. 

Students will train Google’s Teachable Machine using data sets and then revise the learning data to reduce bias and increase accuracy. Students will recognize that new AI inventions can help people but can also have unintended effects. 

Students will compare and contrast series and parallel circuits using conductive and insulating materials and be challenged to build a working electrical model for an army building. 

Students articulate the underlying principles of how AI (artificial intelligence) works by writing the pseudocode that accurately represents how AI would learn to win Tic-Tac-Toe and demonstrating that the AI involved in Tic-Tac-Toe can be adapted to play Connect 4. 

Students create a basic neural net that will simulate personality for an artificial intelligence platform by using sequence, selection, and iteration in an algorithm. 

Students use hierarchical algorithms to create a basic neural net that will simulate personality, a chatterbox, for an artificial intelligence platform. 

Students use engineering design process to produce slime that meets certain criteria and constraints . 

As students explore nature as inspiration for art and engineering, they will engage in a variety of activities that model and explain weathering and erosion. 

Students synthesize mud dauber saliva protein from gene and use engineering design to design and test mud dauber tunnel nests. 

Students investigate how different radioisotopes can be used as a source of alternative energy. 

Students will create an infographic based on their research on bias in artificial Intelligence. 

Students will train Google’s Teachable Machine using data sets and then revise the learning data to reduce bias and increase accuracy. Students will recognize that new AI inventions can help people but can also have unintended effects. 

Students will investigate fatigue failure in paperclips and design a new paper clip. 

Students will explain how stormwater collection can improve water quality and provide a wide range of services, calculate surface area for multiple rooftop scenarios and apply knowledge of rain water runoff across different scenarios 

By identifying and applying the five Big Ideas of Artificial Intelligence to train and test a machine-learning tool to classify drawings the students will be able to give examples of a bias that can arise in machine learning and understand how biases may arise. 

Students will determine which sorbents best absorb oil from fresh and saltwater, develop an algorithm that could be used on a boat drone to clean up an oil spill, and develop a sample program to monitor the water quality of different water sources. 

Students will use qualitative and quantitative math skills to design and build a physical or virtual model to mimic the structural biology of at least one of the 3-dimensional movements of plants, culminating in a verbal and written presentation.

Students will research robotics and use a variety of tools (infographics, EdPuzzle, Gimkit, sketchnotes) to present their findings. 

Students will create a research claim and support the claim through supporting evidence to design and conduct a student designed research project. 

Students use the engineering design process and computer-aided design (CAD) program to create a prototype 2D blueprint and 3D design for a single-family residential house by converting full-size measurements to scale size and scale size measurements to full-size using proportions. 

Students will describe actions that can be taken to reduce the impact of harmful algal blooms by calculating the rate of algal growth to predict how oxygen levels will decrease after a given time and determine the best algal species to use for biofuel. 

Students investigate their favorite animal’s influence in the modern world by collecting and curating information into a Google Sheet and creating an infographic. 

Students will use argumentative-driven inquiry (ADI) to create a poster presentation on scientific notation, accurately report data using correct significant figures, and accurately select and/or use the correct lab equipment (related to measurement) required during an experiment. 

Students will investigate ways to clean up an oil spill and design a water filtration system to understand the issues of water pollution, the importance of access to clean water, and make informed decisions concerning environmental safety. 

Students will design and systematically evaluate a solution under specific constraints for a societal need and model the impact of their proposed device on the impact of society. 

Students collect and analyze data from USACE and use the engineering design process to determine the benefits of dredging to predict future usage based on past data. 

Students research and present information related to a hybrid power grid and produce a model of their idea of a hybrid power grid that can be used after a natural disaster has occurred. 

Students use hierarchical algorithms to create a basic neural net that will simulate personality, a chatterbox, for an artificial intelligence platform. 

Students design and perform a research project to explore the effectiveness of UV-blocking material. 

Students articulate the underlying principles of how AI (artificial intelligence) works by writing the pseudocode that accurately represents how AI would learn to win Tic-Tac-Toe and demonstrating that the AI involved in Tic-Tac-Toe can be adapted to play Connect 4. 

Students create a basic neural net that will simulate personality for an artificial intelligence platform by using sequence, selection, and iteration in an algorithm. 

Students model blood sugar homeostasis and investigate the sugar concentrations in various drinks by conducting serial dilutions. 

Students design, build and test a protective football helmet to reduce the severity of impact in hopes of preventing concussions.