COS 597C: Theory of Natural Algorithms

Course Description & Basic Information

This graduate seminar reviews the latest developments in the theory of natural algorithms with a focus on biology and collective behavior. The course covers a number of topics from dynamical systems, statistical mechanics, machine learning, dynamic networks, multiagent systems, and evolutionary biology. No prerequisites are assumed except for a solid, general mathematical background.

Textbooks and Readings

See the bibliography (link) for papers under topics covered in this course.

Administrative Information

• Lecture Time: Fri, 13:30-16:20 in Friend Center 008
• Teaching Assistant: Jishnu Roychoudhury

Grading and Collaboration

Grading will be based on a final project, comprising a written paper and presentation. The final project may be done individually or in pairs.