Systems Science Seminar Series
The Systems Science Seminar Series covers a wide range of topics, providing an opportunity for presenters to share and attendees to become exposed to the latest research from different fields and disciplines. Agent-based simulation, artificial intelligence, artificial life, genetic algorithms, machine learning, neural networks, signal processing, social networks, system dynamics, and science itself are just a few of the many diverse topics that have been presented, all in an informal environment where questions and discussion are encouraged.
Unless otherwise specified, SySc Seminars are held on Fridays from 12-1PM, in Harder House Room 104, throughout Fall and Winter terms. For those taking the seminar for credit, grading is based on attendance, either in-person or remote.
Contact Us: If you have questions, comments, or topic/speaker suggestions, or if you would like to present a seminar, please email Wayne Wakeland at email@example.com.