Graduate

Courses

Informatics

I585 Bioinspired Computing

Credits: 3

Prerequisite(s):

Biologically-inspired computing is an interdisciplinary field devoted to computational methods modeled after natural design principles. The goal is to produce informatics tools with enhanced robustness, scalability, flexibility and natural human-machine interaction. Topics include: Self-organization, Evolutionary Systems, Cellular Automata, Boolean Networks, L-Systems, Collective and Swarm Behavior, Artificial Immune Systems, Complex Networks.

  • Course History

      Fall 2012


      Instructor: Luis Rocha
      Time: 9:30AM-10:45AM Tue, Thu
      Location: Informatics East, Room 122
      Course URL (syllabus link or course homepage)
      Supplementary Description: Bio-inspired computing is a field devoted to tackling complex problems using computational methods modeled after design principles encountered in nature. This course aims at a deep understanding of the distributed architectures of natural complex systems. Students will be introduced to fundamental topics in bio-inspired computing, and build up their proficiency in the application of various algorithms in real-world problems.

      Fall 2011


      Instructor: Luis Rocha
      Time: 9:30AM-10:45AM Tue, Thu
      Location: Informatics West, Room 107
      Course URL (syllabus link or course homepage)
      Supplementary Description: Bio-inspired computing is a field devoted to tackling complex problems using computational methods modeled after design principles encountered in nature. This course is strongly grounded on the foundations of complex systems and theoretical biology. It aims at an understanding of the distributed architectures of natural complex systems, and how those can be used to produce informatics tools.