NICO students, postdocs, and faculty organize a regular reading group to discuss foundational material and the latest research in complex systems.  For more information, see the reading group homepage.

NICO faculty engage in undergraduate, graduate, and executive education on the topics of networks and complex systems.  Representative courses taught by NICO faculty and other courses related to NICO interests are listed below.  Courses numbered 395 and 495 are taught on an experimental basis, often being assigned permanent course numbers later.  Yearly course planners, and more information about the courses, can be found here.

Undergraduate Courses

  • Introduction to Programming for Big Data (NICO 101-0)
  • Introduction to Dynamical Systems (ESAM 322)
  • Introduction to Complex Networks (ESAM 395)
  • Introduction to Complex Systems (ESAM 395)
  • Introduction to Computational Neuroscience (ESAM 370)
  • Introduction to Feedback Systems (EECS 360)
  • Introduction to Digital Control (EECS 374)
  • Nonlinear Dynamics and Chaos (PHYS 371)
  • Computational Biology:  Principles and Applications (ChBE 379)
  • Modeling Soft Matter:  Networks, Membranes, and Fluctuations (ESAM 321)
  • Designing and Constructing Models with Multi-Agent Languages (EECS 372)
  • Process Dynamics and Control (ChBE 341)
  • Sustainability, Technology, and Society (ChBE 365)
  • Language Evolution (LING 243)
  • Words, Networks, and the Internet (LING 336)

Graduate Courses

  • System Theory (EECS 410)
  • Design of Technologies for Learning (Learning Sciences 426)
  • Nonlinear Dynamics and Chaos (PHYS 430)
  • Social Network Analysis (IEMS 441)
  • Social Dynamics and Networks (Kellogg, MORS 945)
  • Models in Applied Mathematics (ESAM 421)
  • Numerical Methods for Random Processes (ESAM 448)
  • Designing and Constructing Models with Multi-Agent Languages (EECS 472)
  • Introduction to Computational Research (ChBE 495)
  • Dynamical Processes on Networks (ESAM 495)
  • Mathematical Epidemiology (ESAM 495)
  • Nonlinear Control (ME 495)
  • Introduction to Computational Neuroscience (ESAM 495)
  • Words, Networks, and the Internet (LING 336)