BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Michigan Institute for Computational Discovery and Engineering - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://micde.umich.edu
X-WR-CALDESC:Events for Michigan Institute for Computational Discovery and Engineering
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Detroit
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20200308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20201101T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210507T100000
DTEND;TZID=America/Detroit:20210507T120000
DTSTAMP:20260606T170455
CREATED:20230905T171444Z
LAST-MODIFIED:20230905T171444Z
UID:10000467-1620381600-1620388800@micde.umich.edu
SUMMARY:Advanced ML topics: Algorithms\, writing ML code\, comparing implementations
DESCRIPTION:OVERVIEW\n\n\nThis workshop is designed as a follow-up to the basic introduction to machine learning earlier in this series. We will cover several examples in Python and compare different implementations. We will also look at advanced topics in machine learning\, such as GPU optimization\, parallel processing\, and deep learning. A basic understanding of Python is required. \nINSTRUCTORS\nMeghan Richey\nMachine Learning Specialist\nInformation and Technology Services – Advanced Research Computing – Technology Services \nMeghan Richey is a machine learning specialist in the Advanced Research Computing- Technology Services department at the University of Michigan. She consults on several faculty and student machine learning applications and research studies\, specializing in natural language processing and convolutional neural networks. Before her position at the university\, Ms. Richey worked for a defense contractor as a software engineer to design and implement software solutions for DoD-funded artificial intelligence efforts. \n\n\nA Zoom link will be provided to the participants the day before the class. Registration is required. \n\n\nInstructor will be available at the Zoom link\, to be provided\, from 9-10 AM for computer setup assistance. \nPlease note\, this session will be recorded.   \n\nRegister here \nIf you have questions about this workshop\, please send an email to the instructor at richeym@umich.edu
URL:https://micde.umich.edu/event/advanced-ml-topics-algorithms-writing-ml-code-comparing-implementations-2/
LOCATION:Your Desktop
CATEGORIES:Data Science,High Performance Computing,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210510T130000
DTEND;TZID=America/Detroit:20210510T150000
DTSTAMP:20260606T170455
CREATED:20230905T171444Z
LAST-MODIFIED:20230905T171444Z
UID:10000471-1620651600-1620658800@micde.umich.edu
SUMMARY:Software Development For Research: Best Practices for Coding Styles
DESCRIPTION:Software development and computer programming is increasingly a major part of scientific research. Having a consistent coding style and following basic best practices used in the industry can help make your code easier to read and manage\, both internally in your teams and for public code projects available to other researchers. This workshop will cover some general guidelines and suggestions to clean up your coding style. Attendees will learn helpful tips for computer coding and how to make their code readable to other collaborators. \nRegistrants will receive a Zoom link within 24 hours of event. Please register at least 24 hours in advance.
URL:https://micde.umich.edu/event/software-development-for-research-best-practices-for-coding-styles-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210524T130000
DTEND;TZID=America/Detroit:20210524T150000
DTSTAMP:20260606T170455
CREATED:20230905T171444Z
LAST-MODIFIED:20230905T171444Z
UID:10000472-1621861200-1621868400@micde.umich.edu
SUMMARY:SRTI: Software For Cross-Language Real-Time Data Communication
DESCRIPTION:Computer software simulation is used in virtually every discipline. These programs virtually represent small components of real-world events and behaviors\, and allow scientists to test different models to guide real-world research. However\, these can be individually complex\, and written in different computer languages and programs. It’s a difficult task to combine simulators from different parts of a research team to represent larger systems. \nThe “Simple Run-Time Infrastructure” is an open-source\, free-to-use software tool\, developed at the University of Michigan. It was built to simplify the process of sharing data between multiple live simulators\, using a “publish/subscribe” model with messages rather than directly to specific programs. This workshop will present the background of the SRTI’s development\, what it is capable of\, and will provide a step-by-step example for participants. \nJava will be required to run the SRTI. The live example will use an optional mixture that includes simulators written in Java\, Matlab\, and Python. \nThis special-track workshop (provided as a “seminar-style”) is open to researchers both inside and outside the University of Michigan. Up to 300 attendees can attend through Zoom.\nWe ask attendees to “register” by filling out the following Google Forms survey. The survey will provide a Zoom link for you to copy into your calendar.\nThe Google Forms survey link is: https://docs.google.com/forms/d/e/1FAIpQLSeMyniPQs7G1iuohuvSAdU4KE64-BQrCgrZRnC6YzxeCLFv7g/viewform?usp=sf_link \nPlease register at least 48 hours in advance.
URL:https://micde.umich.edu/event/srti-software-for-cross-language-real-time-data-communication-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210526T153000
DTEND;TZID=America/Detroit:20210526T170000
DTSTAMP:20260606T170455
CREATED:20230905T171444Z
LAST-MODIFIED:20230905T171444Z
UID:10000474-1622043000-1622048400@micde.umich.edu
SUMMARY:GIS Fundamentals –  Spatial Database\, PostGIS
DESCRIPTION:PostGIS\, built on top of PostgreSQL\, is the most powerful open-source relational database for managing spatial data. In this workshop we will cover the basic concept of spatial databases\, learn about setting PostGIS\, and understand how PostGIS can help us manage large volumes of vector data spread over multiple tables and geometries efficiently.  We will also touch upon topics such as spatial indexing and the capabilities of PostGIS for other data models for 2-D GIS such as the network and raster data model.
URL:https://micde.umich.edu/event/gis-fundamentals-spatial-database-postgis/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
END:VCALENDAR