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Past Events – Page 5 – Office of Advanced Research Computing Past Events – Page 5 – Office of Advanced Research Computing

R for data analysis: A tidyverse approach

This session introduces the R statistical software environment, basic methods of data analysis, and the "tidyverse." While R is much more than the tidyverse, the development of the tidyverse packages, led by RStudio, has provided a powerful and connected toolkit to get started using R. Note that graphics and data manipulation are covered in subsequent … Read More

Introduction to Geographic Information Systems (GIS) with ArcGIS Online

A Geographic Information System (GIS) can be a very useful tool for your research by incorporating location when exploring questions. In this short, interactive workshop, we will cover basic GIS concepts using ArcGIS Online. We'll explore the interface, add and visualize data, run a quick analysis, and create and share a map. Make sure to … Read More

Love Data Week! Finding, Creating and Working with GIS Data

"Everything happens somewhere..." In this short, interactive workshop, learn how spatial data might enhance your research. We'll explore free and proprietary GIS (geographic information systems) data resources, search strategies to uncover available data; adapting public data for use, review critical data literacy and the importance of attribution, and discuss the process of building your own … Read More

Amarel monthly maintenance

Maintenance is usually scheduled for weekdays because it often involves coordination with university facilities teams or external vendors. There may also be times when Amarel must be unavailable due to externally-scheduled data center facilities, power, or telecommunications maintenance. When this happens, we will do our best to avoid adding to a month’s downtime with our … Read More

Amarel monthly maintenance

Maintenance is usually scheduled for weekdays because it often involves coordination with university facilities teams or external vendors. There may also be times when Amarel must be unavailable due to externally-scheduled data center facilities, power, or telecommunications maintenance. When this happens, we will do our best to avoid adding to a month’s downtime with our … Read More

Introduction to GIS with ArcGIS Pro

A Geographic Information System (GIS) can be a very useful tool for your research by incorporating location when exploring questions. In this short, interactive workshop, we will focus on ArcGIS Pro basics, explore the interface, add and visualize data, create a map layout which we can either export as a PDF or share as a … Read More

R for reproducible scientific documents: knitr, rmarkdown, and beyond

The RStudio environment enables the easy creation of documents in various formats (HTML, DOC, PDF) using Rmarkdown, while knitr allows the incorporation of executable R code to produce the tables and figures in those documents. This session introduces these concepts and other packages and practices supporting reproducibility with the R environment.

Introduction to GIS with QGIS

A Geographic Information System (GIS) can be a very useful tool for your research by incorporating location when exploring questions. In this short, interactive workshop, we will focus on the open source geographic information system: QGIS3. We will explore the interface, add and visualize data, create a map layout, explore plugins and support. Previous knowledge … Read More

Large language models: From theory to implementation

This workshop introduces the basics of Large Language Models (LLMs), covering their foundations, capabilities, and practical applications. Learn how to implement LLMs, explore best practices, and responsibly integrate them into real-world projects. Supplemental materials are available.

Data Publication 2 (publishing to data repositories and creating R packages)

Sharing your data and code is the essential step in maximizing the impact and usefulness of your research. Part of the Data Topics series of workshops, this workshop first reviews repositories for data publication such as Dataverse, ICPSR, OSF, Zenodo, and more. Then we turn to a detailed discussion of building R packages. R Packages … Read More