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Workshops at Computational Research Day

All workshops during Computational Research Day will be held concurrently 8:30 a.m. - 9:45 am. Breakfast is available for workshop participants starting at 8:00 a.m. in the Louis Lobby.

There is no cost to attend, however, individual registration is required for each workshop. This is a separate registration from Computational Research Day. 

Publishing Your Research and Data- Arch Room

Instructor: Chris Diaz, Digital Publishing Services Librarian, Northwestern University Libraries

Description: The creation, dissemination, and preservation of research findings involves interaction between authors, funding agencies, academic institutions, and the public. These interactions are mediated by public policy, U.S. Copyright law, and the economics of scholarly publishing. Taking this holistic perspective, this workshop will provide an overview and introduction to the scholarly publishing landscape and the services available to Northwestern University researchers for data management, funding agency compliance, copyright management, and digital preservation. Participants will receive hands-on training in using the DMPTool for data management planning, managing copyrights as an author, and using the new institutional repository for sharing and preserving research data and scholarly work products. Graduate students and early career researchers with an interest in open access and open science practices are encouraged to attend. Bringing your own laptop is not required but strongly recommended.

Register to attend this workshop.

Python Workshop: NumPy- Lake Room

Instructors: Pascal Paschos, Senior Computational Specialist, Northwestern IT Research Computing Services and Matthew Rich, Lead Web Application Developer, Northwester School of Education and Social Policy 

Description: NumPy is the fundamental package for scientific computing with Python. It provides a powerful multidimensional array, with linear algebra, Fourier transform, and random number functions. It can integrate with C/C++ and Fortran code, allowing you to use Python for high-level analysis and more efficient underlying code for numerical calculations. NumPy is used extensively by other Python modules for scientific, statistical, and machine learning applications. This workshop will introduce those with at least a beginner’s level of experience with Python to the features and capabilities of the package.

Requirements: Please bring your own laptop with Python and NumPy installed or accessible.

Register to attend this workshop.

R Workshop: dplyr- Northwestern Room A

Instructors: Jacob Schauer, PhD Candidate, Department of Statistics, Weinberg School of Arts and Sciences

Description: dplyr is a powerful R package for data manipulation. It allows you to chain together commands to filter, select, mutate, arrange, group, and summarize your data, taking much of the tedium out of data exploration and preparation. Easily create data pipelines that improve the readability of your code and make your analysis more efficient. If you’ve been wondering what the %>% command does, come find out. This workshop is appropriate for participants with at least a beginner’s level of experience with R. Bring your own laptop with R installed.

Register to attend this workshop.

Cloud Computing: AWS Basics of EC2- Northwestern Room B

Instructor: Ryan Kolak, Senior Solutions Architect, Amazon Web Services

Description: Learn how to configure and start an AWS EC2 Linux instance, connect to it, install scientific software, and transfer files to and from the instance.  The workshop will provide an introduction to AWS services and discuss the various options available for storage, security, instance types, and pricing.  Workshop participants will be provided with an AWS account.

Register to attend this workshp.

Last Updated: 17 March 2017

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