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 Data Voyages - The Science of Games

The U of M Data Science Initiative invites you to explore the Science of Card Games with Fantasy Flight.

Software Carpentry - Version Control With Git

This lesson introduces version control with Git, which provides researchers with a tool they can use to keep track of what they’ve done and collaborate with other people.

Software Carpentry - Programming with Python

This three-part workshop is an introduction to programming in Python for people with little or no previous programming experience, and is built around a common scientific task: data analysis.

Software Carpentry - Databases and SQL

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

DSI Data Voyages - The Science of Apple Cultivation

The U of M Data Science Initiative invites you to explore the Science of Apple Cultivation with Professor Jim Luby of the Department of Horticultural Science.

Software Carpentry - The Unix Shell - in person

Learn the basics of file systems and the Unix shell.

GEMS Learning - Using Simple Models to Guide Decision Making

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

GEMS Learning - Geostatistics and Interpolation in 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.

GEMS Learning - Getting Started Using Data to Support Decisions

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

GEMS Learning - Spatial Regression in 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.

GEMS Learning – Spatial Regression in Python

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

GEMS Learning - An Introduction to Spatial Data Analysis in 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.