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The Nature of Code, Spring 2018

Can we capture the unpredictable evolutionary and emergent properties of nature in software? Can understanding the mathematical principles behind our physical world world help us to create digital worlds? This class focuses on the programming strategies and techniques behind computer simulations of natural systems. We explore topics ranging from basic mathematics and physics concepts to more advanced simulations of complex systems. Subjects covered include physics simulation, trigonometry, self-organization, genetic algorithms, and neural networks. Examples are demonstrated in JavaScript using p5.js. Much of the class time will be dedicated to in-class exercises and self-study as much of the course is available online through a video series and textbook.

Info

  • Daniel Shiffman, Tuesdays, 12:10pm-2:40pm
  • All class dates
    • note first class is rescheduled to Friday, Jan 26, 12:10-2:40pm
  • Office Hours

Mailing List

Schedule

Week 1 - Introduction: Make-Up Date: Friday, Jan 26, 12:10 - 2:40pm

Week 2 - Build a Physics Engine, Jan 30

Week 3 - Oscillating Motion, Feb 6

Week 4 - Particle Systems, Feb 13

Week 5 - Autonomous Agents, Feb 20

Week 6 - Physics Libraries, Feb 27

Week 7 - Simulation Project Presentations, March 6

No class Tuesday, March 20

Week 8 - Genetic Algorithms, March 27

Week 9 - Neural Networks, April 3

Week 10 - Neuro-evolution, April 10

Week 11/12 - Final Project Proposals

Week 13 - User Testing Workshop, April 24

Week 14 - Final Project Presentations, May 1

Requirements

  • You are required to attend all class meetings and submit all weekly assignments and a final project.
  • Grading (pass/fail) will be based on a combination of factors:
    • Attendance, participation in class discussion, and engagement in other students' projects (25%)
    • Quality of assignments (50%)
    • Final Project (25%)

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