Savvy Researcher Workshops Announced

50 minutes, hands-on workshops that will help you improve your research and information management skills. The Savvy Researcher workshops cover over 50 unique titles in over 90 sessions. Upcoming sessions include:

  • Revamping Your Research Plan: Citation Chasing, Keyword Searching, and More
  • Using qualtrics.com to program and conduct surveys
  • Digital Publishing with Scalar
  • GIS for Research II: GIS Research, Data Management, and Visualization
  • Smart and Simple Data Management
  • Messy Data? Clean it up with OpenRefine!
  • Advanced Text Mining Techniques with Python and HathiTrust Data

And much more! For more details and registration:   http://go.library.illinois.edu/savvyresearcher

All sessions held at the Main Library, Room 314 unless otherwise noted.

New AWS Labs Added for Fall 17

The Illinois Amazon Web Services (AWS) team has added additional lab dates to their fall schedule. An Amazon solutions architect and an Illinois AWS team member will be on-site to offer technical assistance and discuss cloud topics.

  • September 27: 9:15 to 11:15 a.m. in 27 Illini Hall
  • October 17: 9:15 to 11:15 a.m.in 28 Illini Hall
  • October 25: 9:00 to 11:00 a.m. in the Undergraduate Library ICS Lab
  • November 15: 2:00 to 4:00 p.m. in 27 Illini Hall
  • December 6: 3:00 to 5:00 p.m. in Wohlers Hall ICS Lab

During each lab session, you’ll have your choice of topics:

  • AWS 101: Introduction to EC2
  • Identity and Access Management
  • S3 and CloudFront for content distribution
  • Relational Database Service
  • Automating AWS with CloudFormation
  • Introduction to Lambda
  • Building clusters with Alces Flight
  • Elastic MapReduce

You may run through multiple labs if time allows.

Technology Services will grant you access to a shared AWS account for the lab; you don’t need your own. Computers will be available onsite, though you’re welcome to bring your own laptop if you prefer.

Please register here to reserve your seat.

Amazon Web Services Lab Reminder – Sept. 27

The Amazon Web Services team at Illinois will be holding the next AWS Lab Session on Wednesday, September 27 from 9:15-11:15am in 27 Illini Hall. Please register to attend.

During each lab session, you’ll have your choice of topics:

  • AWS 101: Introduction to EC2
  • Identity and Access Management
  • S3 and CloudFront for content distribution
  • Relational Database Service
  • Automating AWS with CloudFormation
  • Introduction to Lambda
  • Building clusters with Alces Flight
  • Elastic MapReduce

You may run through multiple labs if time allows. An Amazon solutions architect will be on-site with our local staff to offer technical assistance and discuss cloud topics.

Technology Services will grant you access to a shared AWS account for the lab; you don’t need your own. Computers will be available onsite, though you’re welcome to bring your own laptop if you prefer.

Future AWS Labs are being planned. New dates will be posted to cloud.illinois.edu once available.

Upcoming Trainings Sept. – Oct.

Research IT had identified a few key upcoming trainings that are available for researchers, professors and grad students. View the Research IT Calendar page for a full list of training links and calendars.

9/20. Blue Waters Webinar: High-Performance Workflows with Swift

9/21. Blue Waters New User Training

9/22. Software Carpentry Workshop for Women

9/27. Amazon Web Services Lab

9/27. Blue Waters: Software Engineering Practices

9/27. SPSS II: Inferential Statistics with SPSS

10/3. SAS I: Getting Started with SAS

10/4. Stata I: Getting Started with Stata

10/10. SAS II: Inferential Statistics with SAS

10/11. ATLAS.it I: Qualitative Data Analysis

10/11. Stata II: Inferential Statistics with Stata

10/12. ATLAS.it II: Data Exploration and Analysis

10/17. RI: Getting Started with R

10/24. R II: Inferential Statistics

10/25. Blue Waters: Scientific Visualization in Houdini

Software Carpentry Workshop Announced

Software Carpentry is hosting a workshop for women to learn to code:

Thursday, September 21 and Friday, September 22
1040 NCSA
9am – 4:30pm
Meals Provided

All people who identify as women or as non-binary are welcome
No programming experience assumed

Register Here

Hands-on workshops that start with the basics and teach you how to:
➔ organize your research computationally
➔ automate repetitive tasks
➔ make your research reproducible
➔ help other researchers access your work
➔ use your work collaboratively

This workshop will teach you to work with R and the Unix shell and will familiarize you with database and version control tools.

Data Science Day – Oct. 10

Data Science Day is fast approaching! This event, which is a celebration of data science from across our campus, will take place on October 10 at the Alice Campbell Alumni Center. Events include multiple sessions focusing on the application of data science in a variety of research fields including agriculture, health, finance, the humanities, and education, as well as the theoretical foundations. Continue reading

Upcoming CITL Data Analytics Workshops

The Center for Innovation in Teaching and Learning (CITL) is hosting a number of free workshops for all faculty, staff, students, and affiliates of the University of Illinois at Urbana-Champaign. A partnership between CITL, Technology Services, and the Scholarly Commons at the University Library.

Workshop Schedule

All workshops are free and have a limited number of seats. Find more information on workshop offerings here: Workshop Details and Resources

Registration Link

09/19/2017 – R I: Getting Started with R

10/17/2017 – R I: Getting Started with R

09/26/2017 – R II: Inferential Statistics

10/24/2017 – R II: Inferential Statistics

10/03/2017 – SAS I: Getting Started with SAS

10/10/2017 – SAS II: Inferential Statistics with SAS

10/04/2017 – STATA I: Getting Started with Stata

10/11/2017 – STATA II: Inferential Statistics with Stata

09/20/2017 – SPSS I: Getting Started with SPSS

09/27/2017 – SPSS II: Inferential Statistics with SPSS

10/11/2017 – ATLAS.ti I: Qualitative Data Analysis

10/12/2017 – ATLAS.ti II: Data Exploration and Analysis