Aug 25, 2016 · 2:00 p.m.– 3:00 p.m. · 245 Lewis Science Library
We offer an open, walk-in help session every Thursday afternoon from 2:00 - 3:00 pm in 346 Lewis Library. No appointment necessary.
For help at other times, please email email@example.com.
The Help Session is an opportunity to meet with research computing staff for one-on-one help with data visualization and programming. We can discuss visualization programs, techniques, and data formats as well as programming and cluster usage. In particular, how to effectively display your data.
If you are working with large amounts of data on the Princeton High Performance Computing environment you can learn about remote visualization from tigressdata.princeton.edu.
***Room change due to renovation of 346 Lewis (Vis Lab)
Sep 28, 2016 · 4:30 p.m.– 7:30 p.m. · 120 Lewis Science Library
Join us for a special Kick-Off Event titled “Princeton Speaks MATLAB” on September 28, 2016 from 4:30 - 7:30 pm in 120 Lewis Science Library, Washington Road & Ivy Lane. This event is open to students, graduate students, postdocs and researchers at Princeton and its affiliates. The newly-formed user group hopes to ignite participation and build a support community among MATLAB users.
Princeton Speaks MATLAB is organized and sponsored by the Princeton Institute for Computational Science & Engineering (PICSciE) and OIT’s Research Computing. The Kick-Off Event include presentations from faculty and researchers, poster sessions, open discussions and a keynote talk from MathWorks.
•Optimal Learning in MATLAB
•Wavelet and Spectral Analysis
•Statistics & Machine Learning
Registration is now open.
Poster session information and guidelines
Oct 14, 2016 · 8:30 a.m.– 5:30 p.m. · Maeder Hall Auditorium, Andlinger Center
The Princeton Institute for Computational Science & Engineering (PICSciE) is hosting its first Research Computing Day to showcase computational and data-intensive research by graduate students from all disciplines. There will be presentations, poster sessions and open discussions during the event.
Organized and sponsored by the Princeton Institute for Computational Science & Engineering. Co-sponsored by the Office of Information Technology, Research Computing, Office of the Dean for Research and Center for Statistics and Machine Learning.
More details will be posted on the PICSciE-Research Computing website soon.