Zoom: https://illinois.zoom.us/j/89806414929?pwd=qUP3nXPdx8vkBX8jDB3sPmkk29lerD.1
Abstract:
In this talk, I'd like to explain my experience designing and iterating on the Discrete Mathematics course at the University of Notre Dame. I will be emphasizing the fundamental idea(s) that have driven me to select and arrange the materials in the way I have, how these decisions have impacted students' experiences (for better and for worse), and common student difficulties that I am still working to address. Additional comments about my particular teaching style and my work outside of lectures to support my students will round out the talk.
Bio:
Daniel Gonzalez Cedre is a PhD candidate in the Department of Computer Science and Engineering at the University of Notre Dame. His current research interests involve explainable machine learning on graphs—at the intersection of graph learning and formal languages—with some collaborations in computer vision. He received an MS in Computer Science from the University of Notre Dame in 2023 and an MS Financial Mathematics from Florida State University in 2019.
Faculty Host: Mahesh Viswanathan
Meeting ID: 898 0641 4929; Password: csillinois