Two Ohio Supercomputer Center Webinars coming in July

IT@UC is hosting the OSC for two live streaming webinars

JULY 20: BIG DATA @ OSC Workshop: INTRO TO HADOOP & SPARK
Date: Thursday, July 20, 2017 – 1:00 pm to 4:00 pm
Streaming Location: Langsam 475

REGISTER ONLINE  (click yes to – Select if attending the remote event at University of Cincinnati)

JULY 27: PERFORMANCE TUNING WORKSHOP
Date: Thursday, July 27, 2017 – 1:00 pm to 4:00 pm
Location: 850D Baldwin Hall (CEAS Library)

REGISTER ONLINE (click yes to – Select if attending the remote event at University of Cincinnati)

These are live webex events. Brett Kottmann will
be on site. Questions? brett.kottmann@uc.edu

Attached: OSC webcast ad flyer V2_201707

Ohio Supercomputer Center workshops on April 13, 2017

IT@UC Research & Development will be hosting the Ohio Supercomputer Center for two workshops on Thursday, April 13. The morning workshop will provide an introduction to the Ohio Supercomputer Center resources and how to use them. In the afternoon, the workshop will cover Big Data Analytics and Spark.
The morning session will be held from 10-11:30 a.m. on West Campus in Langsam Library, room 475. The afternoon session will be held from 1:30-3:30 p.m. on East Campus in MSBRCV, E602. Laptops are needed if attendees want to participate in the hands-on portions of the sessions.
For more information and to register:  click here

Big Data Training for Translational Omics Research

Announcing a new summer workshop!

Big Data Training for Translational Omics Research

Purdue University is pleased to announce the first Annual NIH-funded workshop on “Big data training

for translational omics research” in West Lafayette, IN on July 11 – 22, 2016. The two-week workshop will focus on providing biomedical researchers inexperienced in biomedical big data science with entry level training in big data science. The format of the workshop includes a series of problem-based activities to build familiarity and basic competency with established tools and publically available resources. These activities will be complemented by formal lectures on various topics important for big data science. The course is open to faculty, post-doctoral researchers, and graduate students.

The costs of tuition, room, and board are covered for accepted applicants!

For additional information and the online application please visit:

http://www.stat.purdue.edu/bigtap/index.html

Application reviews will begin on April 11, 2016.

Please distribute this e-mail and the attached flyer to anyone you think might benefit from attending.