Logan and John worked together to learn about Arduinos by using a practice board, instructional articles, and online videos. They both worked at their own pace, as well as their own final project. During this learning module, both Logan and John encountered errors in problems with assembling the wires on the arduino and breadboard. After some time, both partners helping each other, and a little help from Mr. Detrick, they were able to overcome their problems.

Logan and Natalie worked together to learn about soldering. In the beginning, both struggled with putting the right amount of solder on. It was either too much or too little. After a while, they began to get the hang of it and ended up successfully completing the whole tutorial.

Logan and John worked together to learn how to 3D print different projects. They felt that knowing how to 3D print could be a vital skill in later learning modules. They had used CraftBot in order to create their designs. They encountered a setback with the 3rd image below, in which the pencil gripper was designed to have holes for screws to create a stable ball. Instead, the holes had printed incorrectly. After everything was all said and done, Logan and John were pretty successful with their prints, with only having one bad print. They also developed a good understanding of the ins and outs of 3D printing.

Logan and Aaron worked together to do a hands-on project involving a RC car. They goal was to take an old, beaten-up RC car and  rewire and code new abilities to the car.  Logan and Aaron were able to connect the car to a Bluetooth chip to help program the RC car. They ran into errors throughout the entirety of the learning modules, but they were able to work past them by using the help of each other and Mr. Detrick. Their main issue, which sadly they did not overcome,  was 3D printing a mold for the Arduino, wires, Bluetooth chip, and batteries to go in while the car drove. Both really enjoyed this learning module and are looking forward to progressing their RC car in upcoming learning modules.

Logan and Natalie worked together to program a learning machine that could identify different types of flowers using TensorFlow. They had created their program based on a TensorFlow tutorial and used Google Colab to create it. The program was pretty successful and they only had an issue when it came to identifying a tulip. They had added a different dataset of tulips and the program was able to correctly identify the flower.

Originally, Logan wanted to work with Aaron and put a camera on a RC car. However, Aaron and Logan mutually agreed to split up this learning module because of how far they had gotten in different directions. In Learning Module #6, Logan learned the ins and outs of a Raspberry Pi 4. He was able to incorporate an USB camera and ultrasonic sensor into his project. The camera is able to capture a live feed, and the ultrasonic sensor detects people in a certain distance from the camera and returns their distance in centimeters.

Logan and Frankie worked together to program mini games on Unity. Their original goals were recreate iconic games like Pong and Space Invaders. Like the rest of their peers, Logan and Frankie did not find much success in this learning module as they ran into a multitude of errors, such as compile-time, logic, and null-pointer exceptions. Logan and Frank had worked separately and together for the pong games, and then independently on a Wall Ball and Space Invaders project (see Frankie's portfolio for Space Invaders). Their main success was their determination to get their programs to work. They were able to make some substantial progress on the last day.