Students are introduced to the concept of machine learning and the iterative engineering design process through the design, construction, and testing of a catapult. They will then experiment with the catapult in order to develop a mathematical model that can be used to make predictions of how the system will perform.
Students will:
- Define machine learning and provide real-world applications for where it is used
- Describe the engineering design process and apply it to the design and construction of a catapult
- Develop a mathematical model that describes the performance of the catapult
- Create an algorithm based on the performance analysis of the catapult
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Lab time commitment
90-120 minutes
(including 35-minute intro video) -
Lab materials
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Live Q&A session and wrap up with
College Students & Professional Engineers
Classroom Tools & Resources
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Lab Intro Videos
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If you've completed the lab intro, you can find additional optional lab extensions beginning at timecode 36:00.
Teacher Guide
Pre-work, instructions and troubleshooting advice.
ViewStudent Workbook
Questions and assessments from the lab presentation.
ViewAbbreviated Student Worksheet
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ViewEngineer’s Presentation
Full lab presentation presented by our engineers.
ViewMeet the lab intro host
Joanna Caudle
Staff Engineer