Objectives and Outcomes

Information

  • Instructors: Amarda Shehu, Fei Li, [amarda, lifei]\AT\gmu.edu
    Place and Time: Art and Design Building, #2026, W 7:20-10:00 pm
    Office Hours: ENGR #4452, W 6:20-7:19 pm (Shehu) and ENGR #5326, M 6:20-7:19 (Li)

Outcomes

  • The objective of this course is to introduce students to complex systems and network-based treatments of such systems. The course will emphasize the fundamental underpinnings of network science to graph-theoretic concepts and graph algorithms and so will focus on algorithmic, computational, and statistical methods of network science. Students will also appreciate diverse applications in machine learning, robotics, communications, biology, ecology, brain science, sociology, and economics. The course will go beyond the strictly structural concepts of small-world and scale-free networks, focusing on dynamic network processes such as epidemics, synchronization, or adaptive network formation.