What Internet of Things projects are Stanford students developing? Stanford ME220 "Introduction to Sensors" is an introduction to the variety of sensors that are used in engineering practice. Students in this class get a comprehensive overview of common practices with sensors and learn the direction in which sensor technologies are heading.
This project will get your physical science/physics students involved in a number of Next Generation Science Standards, particularly in the NGSS science and engineering practices. This investigation provides a nice opportunity for the students to (1) suggest hypotheses, (2) design an experiment to test their hypotheses, (3) analyze and interpret their data, and (4) use principles of physics to explain their observations quantitatively.
Let’s imagine two scenarios:
1. Two identical vehicles, each of whose speedometers reads 50 mph, travel toward each other and experience a head-on collision.
2. Another identical vehicle, traveling at 50 mph, hits an unmovable, unbreakable and impenetrable rock wall.
Which collision is more severe from the viewpoint of one of these vehicles?
This lesson makes it possible for your students to study radioactive decay and half-life concepts without the need to purchase expensive radiation monitors and actual radioactive isotopes. Scratch and Voyager work together to accomplish this via a simulation that matches that of true radioactive decay. ScratchX is not required, but may be used. The Scratch program provides the decay process. With each decay of a simulated atom, the Scratch screen quickly flashes white and emits a beep sound similar to that of a typical Geiger counter. Voyager’s light sensor records each of the decays a
We can create a way to make true random numbers in Scratch using the PocketLab Voyager's light sensor and a lava lamp. Sounds crazy? Not really, there is actually a US patent for such a system! It turns out that on their own, computers are not good at generating true random numbers, therefore to make true random numbers using a computer you need an external source of randomness.
Engage your students in engineering practices and classic force and motion and energy concepts in a fun and unique way. With a PocketLab attached to a Hot Wheels car and a track full of magnets, you'll be able to collect data on position, velocity, acceleration, and energy as your car zips up an over hills and around loops. Turn your students into theme park engineers and have them design "roller coaster" tracks, iterate on car designs for races, or teach basic concepts on position and velocity. This activity is sure to help engage your students in a meaningful way.
This is a programming project that capitalizes on PocketLab-Scratch Integration. This project makes use of the Scratch random number block to simulate rolling an ordinary six-sided die. The six random but equally likely outcomes are mapped to sprites of six different shades of gray. Voyager’s light sensor is then used to determine the value of the die’s roll, mapping light sensor values to the corresponding sprite from six images of the face up side of the die. A short action video of the author’s solution accompanies this lesson.
The ability to quickly match empirical data to well-known mathematical models is an essential feature in the analysis of experiments. This technique is generally referred to as curve-fitting. The up-and-coming, but not yet leased, CloudLab software from PocketLab provides an easy way to fit data to models including linear, quadratic, power, exponential, and logarithmic. This curve-fitting can be done for any selected region of PocketLab data. This lesson provides a sneak preview of this CloudLab featu
Collection of angular velocity and acceleration sensor data is prone to seemingly random “noisy” variations, even when the associated motion appears to be smooth to the observer. The easiest way to compensate for this variation is to compute the mean value for the duration of such a random variation. The up-and-coming, but not yet leased, CloudLab software from PocketLab provides an easy way to compute means, standard deviations, and other statistics for a selected region of PocketLab data.
People of all ages have enjoyed playing with toy race cars for many decades. Anki OVERDRIVE is currently one of the most popular and technologically advanced race car sets available in the marketplace. Why not attach Voyager to an Anki supercar and give your students a fun way to study angular velocity?! Each student group can design there own racetrack and obtain a Voyager snapshot of angular velocity vs.