Events

Events through MSI and beyond

MSI hosts a variety of events throughout the year, such as workshops, tutorials, and exhibitions. Our training events offer opportunities for the research community to engage with MSI experts and learn how supercomputing resources can be used to enhance your research. In addition, our annual Research Exhibition highlights numerous projects being conducted by our investigators.

MSI promotes events and training sessions in topic areas of interest to our researchers. Filter for "Other Events" to see a list of upcoming events and conferences from other University of Minnesota units. For questions or more information regarding these events, please contact the event organizers listed on each event page. MSI does not provide support for these events.

If you have an event you would like to have listed on this page, please send a request to our Helpdesk and your event will be reviewed.

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DSI - AI Makerspace

Join us for AI Makerspace Hours, a recurring event open to all faculty, staff, and students!Every other Friday, from 1-4 pm.

MSI Tutorials - Fall 2024

Information about MSI tutorials can be found in the Tutorials section of the website.See the Fall 2024 MSI tutorial schedule.

GEMS Learning – Introduction to Data Analysis With R

GEMS Learning provides modular non-credit digital and data science education for working professionals and students in food, agriculture, and natural resource application areas.

U-Spatial Workshops – ArcGIS Story Maps: Visual Storytelling With Maps

This workshop guides participants through the process of telling stories with maps using the Esri Story Map platform.

U-Spatial Workshops - Web GIS: Introduction to ArcGIS Online

If you are new to GIS, this workshop is for you.

Software Carpentry - Introduction to LaTeX

This workshop will cover formatting fundamentals for LaTeX, a typesetting system commonly used in scientific publishing.

Software Carpentry – R Shiny

This workshop introduces building web apps using the R Shiny framework.

Software Carpentry - R for Reproducible Scientific Analysis

This three-part workshop series will introduce modular code and best practices for using R for data analysis.

Software Carpentry - Data Cleaning With OpenRefine

OpenRefine is a powerful open-source tool to help you work with messy data.

Software Carpentry - Python, Unix, and Git

This is a four-part workshop that introduces you to the Unix Shell, Python, and Git/GitHub.

Software Carpentry - Databases and SQL

This session focuses on using databases and SQL for the search and analysis of large or complex datasets.

GEMS Learning - HPC for Ag: Breaking the Compute Barrier, Upskilling Agri-Food Researchers to Utilize HPC Resources

GEMS Learning provides modular non-credit digital and data science education for working professionals and students in food, agriculture, and natural resource application areas.