Developing Predictive Models
by Amanda Sibley
In this lesson students will collect data on the performance of their drone. Students will design a systematic process of data collection that will then lead to the development of a predictive model that they can use to predict a power and time duration that would be required to move the drone through a constructed maze. The purpose of this lesson is for students to strategically collect data and look for a regular pattern that can be used to describe that pattern. This will ultimately not be efficient enough to accurately control the drone which will then require learning about coding and sensor integration.
This is lesson 5 in the coding drones lesson sequence.
Lesson Plan Link/URL
https://docs.google.com/presentation/d/153v8ONbPjixow3n64VyymygEJ2shg7Tm/edit?u…Related Content
Grades:
7th Grade, 8th Grade, 9th Grade, 10th Grade, 11th Grade, 12th Grade
Dive into the physics and engineering and programming of holonomic drives! Learn to code and control movement for your FTC robot with hands-on activities and real-world applications.
Grades:
7th Grade, 8th Grade, 9th Grade, 10th Grade, 11th Grade, 12th Grade
This is a lesson where students will learn about the sensors that are integrated into their drones and how students can get a live feed of information from these sensors to aid in autonomous decision
Grades:
7th Grade, 8th Grade, 9th Grade, 10th Grade, 11th Grade, 12th Grade
In this lesson students will think back on all of the coding skills they have learned and will plan out their code to fly their drone through their maze based on sensor feedback. It is important that