The structure of the home Informatics Complex Networks & Systems PhD program is very flexible, light on required courses, and specifically designed for interdisciplinary training via Complex Networks & Systems. The program uses an individualized qualifying exam and dissertation proposal format.
In practice, only five to six core courses (15 to 18 credit-hours) are required:
*The syllabus of the I501/I502 series extensively addresses professional development in interdisciplinary STEM research, from both the quantitative and human-centered perspectives, perfecting skills necessary for both academic and professional careers.
The CNS track of the Informatics PhD program also offers many elective courses in the field, allowing trainees to gain specific methodological expertise. Examples of such courses are:
- I-585 - Biologically-inspired computing (Rocha)
- I-590 - Collective Intelligence (Bollen)
- I-590 - Data Visualization (Ahn)
- I-590 - Mathematical Modelling of Social Dynamics (Fortunato)
- I-590 - Mining The Social Web (Menczer)
- I-590 - Performance Analytics (Radicchi)
- CSCI-657 - Computer Vision (Crandall)
- Q-580 - Introduction To Dynamical Systems (Beer)
- S-637/E-583 - Information Visualization (Börner)