High School Programs

Key Information Grades: 9–12 Length: 1 hour Fee: $5.00 per student Limit: 30 students

Key Information Grades: 9–12 Length: 1 hour Fee: $5.00 per student Limit: 30 students

Key Information Grades: 9–12 Length: 1 hour Fee: $5.00 per student Limit: 30 students

Key Information Grades: 9–12 Length: 1.5 hour sessions

(2 sessions total) Fee: $8.00 per student

(includes both sessions) Limit: 33 students

(1 robot to 3 students) or 24 students

(1 robot to 2 students)

Key Information Grades: 9–12 Length: 1 hour Fee: $5.00 per student Limit: 30 students

Key Information Grades: 9–12 Length: 1.25 hour Fee: $3.00 per student Limit: 30 students

Micro:bit Step Counter

*must be done at the We Energies STEM Center at MSOE

Students will use a Micro:bit, a type of microcontroller, to create a step counter. This program uses the Micro:bit’s accelerometer to detect movement counted as steps. Students will modify a code to make the most accurate step counter. If students have a FitBit, Apple Watch or any other type of activity tracker, they are encouraged to wear them that day.

Light My Home

Students will learn how to draw a schematic, wire a circuit using a breadboard and use that knowledge to design and wire a cardboard house. They will understand the use of various electrical components and learn how to build basic circuits.

Robotics Workshops

Students will spend an hour learning coding basics and then programming robots to run a series of on the spot mazes.

Artificial Intelligence

*must be done at the We Energies STEM Center at MSOE

Students will learn how facial recognition works. Using that knowledge, they will build a scenario where facial recognition can be beneficial in real life, and then code that scenario using our A.I. robot, Cozmo. If time allows, students will begin to explore voice recognition.

Industrial Engineering

Students will spend an hour working in groups of four to learn about industrial engineering. They will work to streamline their own assembly process of LEGO airplanes. Students will compete against each other to build the most efficient assembly line, meaning they have assembled the most planes per minute with the lowest defect rate.

Unplugged Artificial Intelligence

Students will learn how AI can identify images and how deep fakes are created through acting as neural networks and Generative Adversarial Networks (GANs). These activities simulate deep learning where nodes pass information to one another.