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X-WR-CALNAME:Michigan Institute for Computational Discovery and Engineering
X-ORIGINAL-URL:https://micde.umich.edu
X-WR-CALDESC:Events for Michigan Institute for Computational Discovery and Engineering
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DTSTART;TZID=America/Detroit:20190304T083000
DTEND;TZID=America/Detroit:20190304T150000
DTSTAMP:20260608T005418
CREATED:20230905T171359Z
LAST-MODIFIED:20230905T171359Z
UID:10000038-1551688200-1551711600@micde.umich.edu
SUMMARY:Statistical Analysis with R
DESCRIPTION:This is a two day workshop (March 4 and 5) in R which  is a free and open source environment for data analysis and statistical computing.  While R contains many built-in statistical procedures\, a powerful feature of R is the facility for users to extend these procedures to suit their own needs.  Excellent graphing capability is another reason R is gaining wide popularity. \n\nHow to Obtain R\nHelp Tools\nImporting / Exporting Data\nData Management\nDescriptive and Exploratory Statistics\nCommon Statistical Analyses (t-test\, Regression Modeling\, ANOVA\, etc.)\nGraphics\nCreating Functions\n\n 
URL:https://micde.umich.edu/event/statistical-analysis-with-r-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190305T083000
DTEND;TZID=America/Detroit:20190305T150000
DTSTAMP:20260608T005418
CREATED:20230905T171359Z
LAST-MODIFIED:20230905T171359Z
UID:10000039-1551774600-1551798000@micde.umich.edu
SUMMARY:Statistical Analysis with R
DESCRIPTION:This is a two day workshop (March 4 and 5) in R which  is a free and open source environment for data analysis and statistical computing.  While R contains many built-in statistical procedures\, a powerful feature of R is the facility for users to extend these procedures to suit their own needs.  Excellent graphing capability is another reason R is gaining wide popularity. \n\nHow to Obtain R\nHelp Tools\nImporting / Exporting Data\nData Management\nDescriptive and Exploratory Statistics\nCommon Statistical Analyses (t-test\, Regression Modeling\, ANOVA\, etc.)\nGraphics\nCreating Functions\n\n 
URL:https://micde.umich.edu/event/statistical-analysis-with-r-2-2-2-2/2019-03-05/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190306T140000
DTEND;TZID=America/Detroit:20190306T170000
DTSTAMP:20260608T005418
CREATED:20230905T171359Z
LAST-MODIFIED:20260401T195302Z
UID:10000187-1551880800-1551891600@micde.umich.edu
SUMMARY:Latent Variable Modeling
DESCRIPTION:Part of the Structural Equation Modeling (SEM) series.  This workshop will help participants develop skills in understanding and conducting latent variable models\, particularly from the perspective of structural equation modeling. After a conceptual overview\, a broad view of matrix factorization techniques will be provided along with specific examples (e.g. PCA\, ‘factor analysis’).  In addition\, measurement error issues\, reliability\, and scale development will be discussed (e.g. ‘confirmatory’ factor analysis). \nPrerequisites: One should have a firm understanding of basic regression. R will be the program of choice\, but nothing beyond very basic skill is assumed (e.g. import data\, run a regression).  Demonstration will be conducted with R\, and the psych and lavaan packages in particular.
URL:https://micde.umich.edu/event/latent-variable-modeling/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190313T140000
DTEND;TZID=America/Detroit:20190313T163000
DTSTAMP:20260608T005418
CREATED:20230905T171359Z
LAST-MODIFIED:20230905T171359Z
UID:10000212-1552485600-1552494600@micde.umich.edu
SUMMARY:PySpark
DESCRIPTION:Apache Spark is a powerful open source processing engine built around speed\, ease of use\, and sophisticated analytics. Industry has quickly adopted Spark and deployed it at scale for processing big data. Its main advantage include in-memory processing and a rich set of operations for wrangling data using DataFrames. In this workshop\, we’ll introduce attendees to SparkSQL and DataFrames for basic data manipulation\, file I/O and SQL querying. Spark has language bindings to R\, Python\, Scala and Java. We’ll be using PySpark (the Python API) in our workshop. \nThe workshop is intended for users with INTERMEDIATE knowledge of R\, Python\, or comparable language. Attendees should be familiar with DataFrames in Python (pandas) or R (dplyr). Attendees will NEED to have a Cavium account beforehand to participate. http://myumi.ch/6pn5d
URL:https://micde.umich.edu/event/pyspark/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190314T130000
DTEND;TZID=America/Detroit:20190314T163000
DTSTAMP:20260608T005418
CREATED:20230905T171358Z
LAST-MODIFIED:20230905T171358Z
UID:10000188-1552568400-1552581000@micde.umich.edu
SUMMARY:Open Source GIS
DESCRIPTION:This workshop will cover introductory GIS concepts and techniques using open source tools. We will use QGIS and R and learn the basics of GIS by solving a number of different problems.  You will also learn to generate production quality maps. Some exposure to R will be helpful. \nThe workshop is meant for students and researchers who want to have a quick and simple exposure to GIS concepts and tools.
URL:https://micde.umich.edu/event/open-source-gis-2/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
GEO:42.2807892;-83.7381556
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190315T093000
DTEND;TZID=America/Detroit:20190315T120000
DTSTAMP:20260608T005418
CREATED:20230905T171358Z
LAST-MODIFIED:20230905T171358Z
UID:10000213-1552642200-1552651200@micde.umich.edu
SUMMARY:Intro to Web Applications using Flask and Python
DESCRIPTION:Ever want to build your own web application? Do you want to do it using Python? Well then\, Flask is the answer you are looking for. Its a micro web framework for Python to help you build your first web app. Come learn how to get started building\, testing and deploying your first app to the web. \nAttendees should be familiar with HTML\, CSS and Python or RShiny. Anaconda Python 3.6 will be used.
URL:https://micde.umich.edu/event/into-to-web-applications-using-flask-and-python/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190319T100000
DTEND;TZID=America/Detroit:20190319T120000
DTSTAMP:20260608T005418
CREATED:20230905T171358Z
LAST-MODIFIED:20230905T171358Z
UID:10000203-1552989600-1552996800@micde.umich.edu
SUMMARY:Introduction to Deep Neural Networks with Keras/TensorFlow
DESCRIPTION:Deep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. Keras is a high-level\, Python interface running on top of multiple neural network libraries\, including the popular library TensorFlow. In this workshop\, participants will learn how to quickly use the Keras interface to perform nonlinear regression and classification with standard fully-connected DNNs\, as well as image classification using Convolutional Neural Networks (CNNs). We will also look at regularization techniques and how to deal with under- and over-fitting. \nAll examples will use Python; some familiarity with Pyt hon is recommended. Computers will be available to complete exercises.
URL:https://micde.umich.edu/event/introduction-to-deep-neural-networks-with-keras-tensorflow-3-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190319T140000
DTEND;TZID=America/Detroit:20190319T160000
DTSTAMP:20260608T005418
CREATED:20230905T171358Z
LAST-MODIFIED:20230905T171358Z
UID:10000199-1553004000-1553011200@micde.umich.edu
SUMMARY:Go for data processing 1/2/3
DESCRIPTION:This is a three-session workshop on the use of Go for data processing.  Go is an open source language developed for general-purpose programming.  It is not more difficult to learn and use than a high-level scripting language like Python\, but it is strongly typed\, statically compiled\, and provides native support for concurrency\, leading to much better performance for many common tasks.  In this series of workshops\, we introduce Go as a tool for data processing. No prior exposure to Go is expected\, but participants should have some programming background. Free and open source tools for Go are available for all common platforms.   \nParticipants should bring a laptop if they want to work with the examples during the presentation\, but this is optional. \nSession 1: March 19\, 2:00pm – 4:00pm \nSession 2: March 26\, 2:00pm – 4:00pm \nSession 3: April 2\, 2:00pm – 4:00pm \nNote: Interested participants only need to register with the 1st session.
URL:https://micde.umich.edu/event/go-for-data-processing-1-2-3/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
GEO:42.2807892;-83.7381556
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190320T153000
DTEND;TZID=America/Detroit:20190320T170000
DTSTAMP:20260608T005418
CREATED:20230905T171358Z
LAST-MODIFIED:20230905T171358Z
UID:10000219-1553095800-1553101200@micde.umich.edu
SUMMARY:Doing more with RStudio
DESCRIPTION:This talk will serve as an demonstration of what RStudio can offer for those that do not use it\, as well as a showcase for more advanced use for those who use it only for scripting purposes. \nTopics include but are not limited to: \n\nScripting shortcuts\nCustomization\nUsing Projects\nDocument generation\nAddins\nPackage Development\nDebugging and Profiling\nVersion Control\n\nWhile this is more of a demo than a workshop\, attendees are encouraged to try some things out and explore as we go along. \n If you have questions about this workshop\, please send an email to micl@umich.edu
URL:https://micde.umich.edu/event/doing-more-with-rstudio/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190322T093000
DTEND;TZID=America/Detroit:20190322T160000
DTSTAMP:20260608T005418
CREATED:20230905T171358Z
LAST-MODIFIED:20230905T171358Z
UID:10000077-1553247000-1553270400@micde.umich.edu
SUMMARY:Introduction to Stata
DESCRIPTION:Topics: \n\nBy the end of the workshop\, participants will be able to:\n\nWork with Stata\, including using Do-files and using the help system.\nGet data into Stata and manage your data files\nEstablish familiarity with your data\nClean the data to prepare it for analysis\nCheck for basic errors in the data\nGenerate new variables or manipulate existing variables\nMerge or reshape the data.\nProduce summary tables and descriptive statistics.\n\n\nNote: This is a full day workshop. To get the most out of it\, please plan to stay for the entire class.\n\n(Topics subject to change) \n 
URL:https://micde.umich.edu/event/introduction-to-stata-3-3-2-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190326T140000
DTEND;TZID=America/Detroit:20190326T160000
DTSTAMP:20260608T005418
CREATED:20230905T171400Z
LAST-MODIFIED:20230905T171400Z
UID:10000200-1553608800-1553616000@micde.umich.edu
SUMMARY:Go for data processing 1/2/3
DESCRIPTION:This is a three-session workshop on the use of Go for data processing.  Go is an open source language developed for general-purpose programming.  It is not more difficult to learn and use than a high-level scripting language like Python\, but it is strongly typed\, statically compiled\, and provides native support for concurrency\, leading to much better performance for many common tasks.  In this series of workshops\, we introduce Go as a tool for data processing. No prior exposure to Go is expected\, but participants should have some programming background. Free and open source tools for Go are available for all common platforms.   \nParticipants should bring a laptop if they want to work with the examples during the presentation\, but this is optional. \nSession 1: March 19\, 2:00pm – 4:00pm \nSession 2: March 26\, 2:00pm – 4:00pm \nSession 3: April 2\, 2:00pm – 4:00pm \nNote: Interested participants only need to register with the 1st session. 
URL:https://micde.umich.edu/event/go-for-data-processing-1-2-3-2/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
GEO:42.2807892;-83.7381556
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