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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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.

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.

GEMS Learning – Introduction to Spatial Data Analysis 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.

MSI Tutorial - Intro to Pathway Analysis

This tutorial covers the basics of pathway enrichment analysis and related techniques.

MSI Tutorial - Software Installation and Management at MSI

Software installation and management on shared computing resources can be a real headache.

MSI Tutorial - RNA-Seq Analysis

This tutorial covers the process of handling bulk RNA-seq data with command-line tools.