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| <imgsrc="Images/image_3.png"width="231"alt="image_3.png"> <br> |**In this script, students will...** <br> $\bullet$ Learn the difference between analog and digital signals <br> $\bullet$ Explore examples of sampling signals at different sample rates <br> $\bullet$ Learn about Nyquist Theorem and why it is important <br> $\bullet$ Work through an example illustrating the effects of sampling and quantization on a short recording of a jazz song <br> |
| <imgsrc="Images/image_4.png"width="231"alt="image_4.png"> <br> |**In this script, students will...** <br> $\bullet$ Learn about the purpose of filtering <br> $\bullet$ Explore a step\-by\-step example of applying a smoothing filter to real\-world accelerometer data <br> $\bullet$ Learn about four different ways of visualizing signals in different domains <br> $\bullet$ Learn about three different types of frequency\-based filters and apply them to a real\-world recording of birds chirping <br> |
| <imgsrc="Images/image_5.png"width="231"alt="image_5.png"> <br> |**In this script, students will...** <br> $\bullet$ Learn about impulse responses and their importance in designing filters <br> $\bullet$ Learn the difference between FIR and IIR filters and apply them to an audio signal <br> $\bullet$ Explore the importance of group delay and magnitude responses <br> $\bullet$ Use the Design Filter live task to design their own filters <br> |
| <imgsrc="Images/image_6.png"width="231"alt="image_6.png"> <br> |**In this script, students will...** <br> $\bullet$ Work step by step to build a filtering app <br> |
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