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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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TZID:America/Detroit
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DTSTART:20170312T070000
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190313T140000
DTEND;TZID=America/Detroit:20190313T163000
DTSTAMP:20260603T210622
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:20190306T140000
DTEND;TZID=America/Detroit:20190306T170000
DTSTAMP:20260603T210622
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:20190305T083000
DTEND;TZID=America/Detroit:20190305T150000
DTSTAMP:20260603T210622
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:20190304T083000
DTEND;TZID=America/Detroit:20190304T150000
DTSTAMP:20260603T210622
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:20190226T100000
DTEND;TZID=America/Detroit:20190226T120000
DTSTAMP:20260603T210622
CREATED:20230905T171357Z
LAST-MODIFIED:20230905T171357Z
UID:10000202-1551175200-1551182400@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/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190220T153000
DTEND;TZID=America/Detroit:20190220T173000
DTSTAMP:20260603T210622
CREATED:20230905T171358Z
LAST-MODIFIED:20230905T171358Z
UID:10000185-1550676600-1550683800@micde.umich.edu
SUMMARY:Generalized Additive Models
DESCRIPTION:Nonlinear relationships abound in nature\, though typical statistical models ignore this in favor of simplicity\, often at a cost of both predictive capabilities and better understanding of the underlying phenomenon of interest.  One means to explore such relationships is through generalized additive models (GAM). \nThis workshop will introduce participants to GAMs as a means to extend their efforts beyond the usual GLM setting.  In addition\, extensions and connections to other models will be noted (e.g. mixed and spatial).  Demonstration will be conducted with R\, and the mgcv package in particular. \nLink: https://m-clark.github.io/generalized-additive-models/
URL:https://micde.umich.edu/event/generalized-additive-models-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190212T093000
DTEND;TZID=America/Detroit:20190212T120000
DTSTAMP:20260603T210622
CREATED:20230905T171345Z
LAST-MODIFIED:20230905T171345Z
UID:10000204-1549963800-1549972800@micde.umich.edu
SUMMARY:Python for Data Analysis
DESCRIPTION:Learn data analysis with Python. We’ll be using pandas\, the go-to Python library used for data wrangling and analysis. We’ll be practicing with several different real-world datasets (e.g. time-series\, text) and learning how to read\, write\, clean\, transform\, merge and reshape data.  \nThe workshop is intended for users with basic Python knowledge. Anaconda Python 3.6 and a Jupyter Notebook will be used.
URL:https://micde.umich.edu/event/python-for-data-analysis-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190207T130000
DTEND;TZID=America/Detroit:20190207T170000
DTSTAMP:20260603T210622
CREATED:20230905T171357Z
LAST-MODIFIED:20230905T171357Z
UID:10000183-1549544400-1549558800@micde.umich.edu
SUMMARY:Mixed Models with R
DESCRIPTION:Mixed models are an extremely useful modeling tool for situations in which there is some dependency among observations in the data\, where the correlation typically arises from the observations being clustered in some way. For example\, it is quite common to have data in which we have repeated measurements for the units of observation\, or in which the units of observation are otherwise clustered (e.g. students within school\, cities within geographic region). While there are different ways to approach such a situation\, mixed models are a very common and powerful tool to do so.  In addition\, they have ties to other statistical approaches that further expand their applicability. \nThe goal of this workshop is primarily to provide a sense of when one would use mixed models and how to incorporate a variety of standard techniques.  It is very applied in nature\, and only assumes a basic understanding of standard regression models (and use of R for such models). \nLink: https://m-clark.github.io/mixed-models-with-R/
URL:https://micde.umich.edu/event/mixed-models-with-r-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190206T110000
DTEND;TZID=America/Detroit:20190206T130000
DTSTAMP:20260603T210622
CREATED:20230905T171423Z
LAST-MODIFIED:20230905T171423Z
UID:10000182-1549450800-1549458000@micde.umich.edu
SUMMARY:Introduction to Programming with Python & Matlab
DESCRIPTION:This is a four-part workshop introducing programming concepts to those with little-to-no programming experience. \nThe four 2-hour sessions will take place over two weeks\, with Python being taught in the first three sessions\, and Matlab in the fourth session. Computers are provided. \nSession 1: Feb 6\, 11am – 1pm – Location: MLB 2001a \nSession 2: Feb 7\, 11am – 1pm –  Location: MLB 2001A \nSession 3: Feb 13\, 11am – 1pm – Location: MLB 2001A \nSession 4: Feb 14\, 11am – 1pm – Location: MLB 2001A
URL:https://micde.umich.edu/event/introduction-to-programming-with-python-matlab/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190205T083000
DTEND;TZID=America/Detroit:20190205T150000
DTSTAMP:20260603T210622
CREATED:20230905T171424Z
LAST-MODIFIED:20230905T171424Z
UID:10000037-1549355400-1549378800@micde.umich.edu
SUMMARY:Statistical Analysis with R
DESCRIPTION:This is a two day workshop (February 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-2-2-2/2019-02-05/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190204T083000
DTEND;TZID=America/Detroit:20190204T150000
DTSTAMP:20260603T210622
CREATED:20230905T171423Z
LAST-MODIFIED:20230905T171423Z
UID:10000036-1549269000-1549292400@micde.umich.edu
SUMMARY:Statistical Analysis with R
DESCRIPTION:This is a two day workshop (February 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/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190125T093000
DTEND;TZID=America/Detroit:20190125T160000
DTSTAMP:20260603T210622
CREATED:20230905T171422Z
LAST-MODIFIED:20230905T171422Z
UID:10000076-1548408600-1548432000@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/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190118T093000
DTEND;TZID=America/Detroit:20190118T093000
DTSTAMP:20260603T210622
CREATED:20230905T171422Z
LAST-MODIFIED:20230905T171422Z
UID:10000177-1547803800-1547803800@micde.umich.edu
SUMMARY:Intro to SQL
DESCRIPTION:Ever want to know how to communicate with a database? You need to know SQL\, a standard programming language for working with relational database management systems in data warehouses or just Microsoft Access. This workshop will cover the basic syntax of SQL. Material will focus mainly on how to query databases. A web-based tool will be used for the tutorial. \n 
URL:https://micde.umich.edu/event/intro-to-sql-3-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180125T090000
DTEND;TZID=America/Detroit:20180125T163000
DTSTAMP:20260603T210622
CREATED:20230905T171417Z
LAST-MODIFIED:20230905T171417Z
UID:10000074-1516870800-1516897800@micde.umich.edu
SUMMARY:Stata 1: Introduction to Stata
DESCRIPTION:Note: Topics are subject to change. \nTopics: \n\nBasics – Interfacing with Stata\, Do-files\, getting help.\nWorking with Data Sets – Importing\, opening\, and saving data files.\nData Management – Getting familiar with your data\, adding informative labels\, basic checks for issues.\nData Manipulation – Generating new variables\, working with subsets of data\, merging files\, reshaping files.\nProgramming – A basic and gentle introduction to some of the more advanced Stata programming.\nNote: This workshop does not cover any statistical modeling; see Stata 2: Statistical Modeling in Stata for those topics.\n\nTo register for CSCAR Workshops\, call the CSCAR front desk at (734) 764-7828 or come to the office in person with cash or check or a UM 6-digit department shortcode: \nOFFICE HOURS\n9:00 a.m. – 5:00 p.m.\, Monday through Friday\nClosed 12pm – 1:00 p.m. every Tuesday for staff meeting.\nVoice: (734) 764-7828 (4-STAT from a campus phone)\nFax: (734) 647-2440 \nADDRESS\nConsulting for Statistics\, Computing and Analytics Research (CSCAR)\nThe University of Michigan\n3550 Rackham\n915 E. Washington St.\nAnn Arbor\, MI 48109-1070
URL:https://micde.umich.edu/event/introduction-to-stata-3/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
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