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Hands-On Engineering Experiences for Middle School Students

Offered remotely, in-person or a hybrid of both options, taught by graduate STEM students.

Smart Nighlight Activities are aligned to the following NYSSLS Performance Expectations:

  • MS-PS3-6. Make observations to provide evidence that energy can be transferred by electric currents.

  • MS-PS4-3. Integrate qualitative scientific and technical information to support the claim that digitized signals are a more reliable way to encode and transmit information than analog signals.

  • MS-ETS1-1. Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles and potential impacts on people and the natural environment that may limit possible solutions.

  • MS-ETS1-2. Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.

  • MS-ETS1-3. Analyze data from tests to determine similarities and differences among several design solutions to identify the best characteristics of each that can be combined into a new solution to better meet the criteria for success.

  • MS-ETS1-4. Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved.

To schedule your class or for more information, please e-mail:

Engineering Fundamentals
Students will be exposed to the critical thinking skills and considerations used by engineers in the design process.
Smart Night Light
Students will learn about circuits, the engineering design process, simulations, simple programming and will create a smart night light, with four modes of function.
Smart Nightlight
Sensor Interface
Students will learn about different types of sensors and will use a simple pre-coded interface to take measurements and perform simple experiments.


Sensor Interface


Introduction to Python
Students will use an online platform to learn the basics of Python and use Python to create a unit converter.
Introduction to Python

Lab Director:   Dr. Mónica Bugallo, College of Engineering and Applied Sciences