Chemistry-related projects
| Grade Level | Applicable Standards | Module Summary | Year | Developer | Link |
|---|---|---|---|---|---|
| 12 | Forthcoming | To help students better understand protein secondary and tertiary structure and their relationship to protein function, students will compare traditional x-ray crystallography methods and model predicting/identifying segments of protein structures using a simple machine learning approach. | 2022 |
Jessica DeNapoli Culver Academies |
Preliminary 2022 just completed (pdf) |
| 10, 11, 12 | Indiana: SEPS.2, SEPS.5; ITEEA: 1, 3 | The module involves learning about algorithms. Students will write and test algorithms for how to draw a cat, how to multiply two numbers, and how to determine the number of protons, neutrons, and electrons in an atom given the atomic number and mass number. | 2018 |
Rebecca Humbarger Riley High School |
Zip Archive (link-01) (link-02) (link-03) (link-04) |
| 11, 12 | Indiana: SEPS.1, SEPS.2, SEPS.4 SEPS.7, 11-12.LST.1.1, 11-12.LST.5.1, C.4.1, C.7.3, C.8.1, C.8.2, C.8.3 | (Mars Barefoot Wheel Simulation) At the end of the module students will get a feel for how instruments are selected for off world missions. They will also have a grasp of what budget can do to scientific experiments as well as how to network for help on future “missions”. | 2021 |
Adam Beck Penn High School |
Zip Archive (link) |
| 11, 12 |
Indiana: SEPS 1-8, ICS-1.2, ICS-1.3, ICS-4.6, ICS-6.3, CSI-5.8, 3-5.PA.2, ICP.1.3. 11-12.LST.5.2 |
Students will be able to apply the basics of scientific processes and research to find strengths and weaknesses of measurements in facial recognition analysisSWBAT apply the basics of scientific processes and research to find strengths and weaknesses of measurements in facial recognition analysis | 2021 |
Heather Fellows Elkhart High School |
Zip Archive (link) |
| Forthcoming | Forthcoming |
Forthcoming |
2019 |
David Schuster Marian High School |
Forthcoming |