Learning Objectives

Students will be able to:

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

Materials

• 1D Noise Worksheet

Schedule

Copy of Untitled

Sketch Review

1. Jason, Omar, Yunjia, Yichan, Zisiga When allowing chance to influence their artwork, does an artist give up authorship?
2. Joe, Ege, Bhavya, Mary Ann, Justin Choose two sketches that you believe demonstrate a biasing technique discussed last week. What kind of bias do you think was used in each?
3. Munro, Peter, Emily, May Does computationally generated art have an inherent aesthetic?