Learning Objectives

Students will be able to:

• Explain what p5’s noise() function does.
• Understand when, why, and how to use noise()
• Critically compare noise() to random()
• Explore sampling, mapping, and controlling noise()
• Describe (some of) the historical role of Perlin Noise in procedural generation
• Describe the qualities of Noise (Frequency, Amplitude, Smoothing, Layering/Detail/Octives, Dimensions)
• Understand core Noise function design considerations.
• Practice using noise functions in their own sketches.

Preparation

• Read the Noise chapter
• Complete the coding challenges.
• Add two questions related to the chapter or challenges below.

Chapter + Challenge Questions

<aside> 🧟 Put your two chapter / coding challenge questions here. Please include your name.

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