Pi 2023-24

Data Science events for March 2024:   (all times USA Eastern time zone)

• Tuesday, March 12: Weijie Sun, University of Alberta, Predicting Individual Survival Distributions using ECG: A Deep Learning Approach utilizing Features Extracted by a Learned Diagnostic Model

  • 2:00 pm on WebEx ( https: // purdue.webex.com / meet / aselvite )

  • Abstract on PFW Laboratory of Data Science seminars page

• Tuesday, March 12: Gabriel Chen, Hope College, On the Speed and Memory Scalability of Spectral Clustering

  • 3:30 pm in Kettler G52 - also on WebEx

  • PFW Laboratory of Data Science seminars page

  • Abstract: Spectral clustering has emerged as a very effective clustering approach; however, it is computationally expensive when applied to large data sets. As a result, there has been considerable effort in the machine learning community to develop fast, approximate spectral clustering algorithms that are scalable in time and/or memory. Notably, most of those methods use a small set of landmark points selected from the given data. In this talk we present two landmark-based scalable spectral clustering algorithms that are developed based on novel document-term and bipartite graph models. We demonstrate their superior performance on some benchmark data sets. Finally, we also mention some recent work in the setting of massive data sets which cannot be fully loaded into computer memory. 

• Wednesday, March 13: Nina Atanasova, Cleveland State University, Policing Mental Illness on Social Media

  • Event Flyer PDF

  • Department of Mathematical Sciences Colloquium, with the Laboratory of Data Science and the  Data Hub Club

• Spring 2024 Data Science talks Photo page

Actuarial Science events for Spring 2024

• Actuarial newsletter for March 2024

• Wednesday, March 20: Kenda Sanderson, MedPro Group, and PFW alumnus, with a presentation on Excel functions for actuarial science

The PFW Physics department is organizing a viewing event on campus for the 2024 solar eclipse

• Monday, April 8, 1:00-4:30 between Kettler and the Science Building.  The near-totality will be around 3:00.

• Web page

The 27th annual PFW Student Research Symposium was Friday, March 22, 2024.

• Fall 2023 Information sessions for potential participants: Nov. 15 or Nov. 16 in Helmke Library 212  Flyer PDF

• Research posters were presented by Mathematical Sciences graduate students O. Adekoya, A. Ajiboye, P. Chamenyi, and  P. Sarpong.

• Photo page

PFW Data Science Week 2023

• Nov. 27 - Dec. 1

• Web page

• Participant registration, including contributed short talks or posters, by Nov. 24

Department of Physics Halloween 2023 experiments demonstration: Oct. 27 🎃

• Photo & video page