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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190409T140000
DTEND;TZID=America/Detroit:20190409T160000
DTSTAMP:20260603T204444
CREATED:20230905T171359Z
LAST-MODIFIED:20230905T171359Z
UID:10000214-1554818400-1554825600@micde.umich.edu
SUMMARY:Mediation analysis in Python
DESCRIPTION:Mediation analysis is a set of tools for exploring hypotheses about causal pathways\, with a special focus on differentiating “direct” from “mediated” associations between an exposure and an outcome.  Many approaches to mediation analysis are based on regression analysis. \n In this workshop\, we will cover some of the basic ideas behind regression-based mediation analysis\, and show how this type of analysis can be performed in Python using the Statsmodels package. All software tools covered in this workshop are free and open source.
URL:https://micde.umich.edu/event/mediation-analysis-in-python-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
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190402T140000
DTEND;TZID=America/Detroit:20190402T160000
DTSTAMP:20260603T204444
CREATED:20230905T171400Z
LAST-MODIFIED:20230905T171400Z
UID:10000201-1554213600-1554220800@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-1-2-3-2-2/
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
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190326T140000
DTEND;TZID=America/Detroit:20190326T160000
DTSTAMP:20260603T204444
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
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190319T140000
DTEND;TZID=America/Detroit:20190319T160000
DTSTAMP:20260603T204444
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
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190314T130000
DTEND;TZID=America/Detroit:20190314T163000
DTSTAMP:20260603T204444
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
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190227T140000
DTEND;TZID=America/Detroit:20190227T173000
DTSTAMP:20260603T204444
CREATED:20230905T171359Z
LAST-MODIFIED:20230905T171359Z
UID:10000186-1551276000-1551288600@micde.umich.edu
SUMMARY:Geospatial Analysis with Google Earth Engine
DESCRIPTION:Google Earth Engine combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities. This hands-on workshop will help you understand the power (and limitation) of GEE for carrying out an end-to-end analysis. \nYou should have some exposure to GEE and remote sensing. We will focus on contemporary environmental issues and learn how to carry out more advanced analysis and visualization in GEE. We will use the web-based IDE for the Earth Engine JavaScript API.
URL:https://micde.umich.edu/event/geospatial-analysis-with-google-earth-engine-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
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190219T140000
DTEND;TZID=America/Detroit:20190219T160000
DTSTAMP:20260603T204444
CREATED:20230905T171358Z
LAST-MODIFIED:20230905T171358Z
UID:10000198-1550584800-1550592000@micde.umich.edu
SUMMARY:Survival analysis in Python
DESCRIPTION:Survival analysis is used when working with data that may be censored\, as often is the case in studies of human subjects with incomplete follow-up.  The presence of censoring makes most forms of regression and other standard statistical analyses inappropriate. A body of specialized techniques for analyzing this type of data has been developed\, including methods for estimating and comparing marginal survival functions\, and regression methods including the widely-utilized Cox proportional hazards model.  This workshop will briefly review the key principles of survival analysis\, then illustrate by example how various survival analysis methods can be carried out using Python with the Statsmodels package.  \nParticipants should bring a laptop if they want to work with the examples during the presentation\, but this is optional.
URL:https://micde.umich.edu/event/survival-analysis-in-python-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
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190212T140000
DTEND;TZID=America/Detroit:20190212T160000
DTSTAMP:20260603T204444
CREATED:20230905T171358Z
LAST-MODIFIED:20230905T171358Z
UID:10000184-1549980000-1549987200@micde.umich.edu
SUMMARY:Multilevel models in Python
DESCRIPTION:Multilevel modeling is the state-of-the-art approach for handling data with complex dependence structure in a regression analysis.  This workshop will discuss fitting multilevel models in Python using the Statsmodels package. We will discuss the motivation and main use cases for multilevel modeling\, and illustrate by example how to fit linear and generalized linear mixed models.   \nParticipants should bring a laptop if they want to work with the examples during the presentation\, but this is optional.
URL:https://micde.umich.edu/event/multilevel-models-in-python/
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
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190208T140000
DTEND;TZID=America/Detroit:20190208T160000
DTSTAMP:20260603T204444
CREATED:20230905T171357Z
LAST-MODIFIED:20230905T171357Z
UID:10000170-1549634400-1549641600@micde.umich.edu
SUMMARY:Mixed Effects Modeling in Stata
DESCRIPTION:We’ll discuss mixed model regression (also known as multi-level models or hierarchical linear models) in this session which is used for repeated measures data or data which has a clustering element.  We’ll start with a theoretical overview\, discuss choosing an appropriate model\, fitting the models\, checking assumptions and post-hoc analysis. We’ll also cover diagnosing convergence issues. Participants should have basic familiarity with Stata and some working knowledge of linear regression (ordinal least squares).
URL:https://micde.umich.edu/event/mixed-effects-modeling-in-stata-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
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190205T140000
DTEND;TZID=America/Detroit:20190205T160000
DTSTAMP:20260603T204444
CREATED:20230905T171424Z
LAST-MODIFIED:20230905T171424Z
UID:10000181-1549375200-1549382400@micde.umich.edu
SUMMARY:Generalized estimating equations in Python
DESCRIPTION:GEE is an extension of the generalized linear modeling (GLM) framework for dependent data.  GEE can be used with longitudinal data\, clustered data\, and other forms of dependent data where a GLM may not be appropriate.  In this workshop we will discuss fitting models using GEE in Python with the Statsmodels package.  We will briefly cover the underlying foundation for GEE\, but will mainly focus on practical aspects of utilizing GEE in Python\, through several case studies.  More advanced topics including model selection and regularized fitting may be covered\, depending on student interest.  \nParticipants should bring a laptop if they want to work with the examples during the presentation\, but this is optional.
URL:https://micde.umich.edu/event/generalized-estimating-equations-in-python/
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
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190204T130000
DTEND;TZID=America/Detroit:20190204T160000
DTSTAMP:20260603T204444
CREATED:20230905T171423Z
LAST-MODIFIED:20230905T171423Z
UID:10000180-1549285200-1549296000@micde.umich.edu
SUMMARY:Data Visualization With 3D Graphics Using Unity3D
DESCRIPTION:Video game development is more accessible than ever thanks to advanced software tools. Unity3D is one of the most popular game engines available\, thanks to its ease of use\, support for multiple platforms\, and affordable pricing options (including free!). In addition to powering the majority of mobile and independently-developed games\, the engine is being used in new applications\, including animated short films by Disney\, automotive design and self-driving training at Audi and Toyota\, and augmented-reality demonstrations. Unity3D is beginning to be a viable tool to use alongside scientific projects\, especially those that require 3D visual representation of pre-computed data for user analysis. \nIn this workshop\, we introduce the Unity3D workspace\, and prepare a demo that allows the user to load an example data-set and view it as a simple set of 3D representations.  \nA basic familiarity with computer programming (C# will be used during the session) is recommended to get the most out of the workshop. To take part\, users will be responsible to bring their own laptop with Unity3D (available for Windows or Macintosh) pre-installed. Additional project files will be provided to registered users ahead of the workshop date.
URL:https://micde.umich.edu/event/data-visualization-with-3d-graphics-using-unity3d/
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
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190201T140000
DTEND;TZID=America/Detroit:20190201T160000
DTSTAMP:20260603T204444
CREATED:20230905T171423Z
LAST-MODIFIED:20230905T171423Z
UID:10000169-1549029600-1549036800@micde.umich.edu
SUMMARY:Regression Modeling in Stata
DESCRIPTION:In this session\, we will discuss fitting traditional regression models in Stata\, including linear regression\, logistic regression\, and time-allowing\, poisson regression. We’ll briefly introduce the theory behind the models\, discuss choosing an appropriate model\, fitting the model\, checking assumptions and some post-hoc analysis. Participants are expected to have some basic familiarity with Stata.
URL:https://micde.umich.edu/event/regression-modeling-in-stata-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
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190129T140000
DTEND;TZID=America/Detroit:20190129T160000
DTSTAMP:20260603T204444
CREATED:20230905T171423Z
LAST-MODIFIED:20230905T171423Z
UID:10000179-1548770400-1548777600@micde.umich.edu
SUMMARY:Regression analysis with Generalized Linear Models in Python
DESCRIPTION:This workshop will cover fitting generalized linear models (GLMs) in Python\, using the Statsmodels package.  We will cover logistic regression\, but the majority of the time we will focus on other GLMs including Poisson\, negative binomial\, and gamma regression.  We will provide an overview of the underlying foundation for GLMs\, focusing on the mean/variance relationship and the link function. Participants should have familiarity with linear regression and (ideally) with logistic regression\, but prior exposure to other GLMs is not required.   \nParticipants should bring a laptop if they want to work with the examples during the presentation\, but this is optional.
URL:https://micde.umich.edu/event/regression-analysis-with-generalized-linear-models-in-python/
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
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190122T140000
DTEND;TZID=America/Detroit:20190122T160000
DTSTAMP:20260603T204444
CREATED:20230905T171422Z
LAST-MODIFIED:20230905T171422Z
UID:10000178-1548165600-1548172800@micde.umich.edu
SUMMARY:Linear regression analysis in Python
DESCRIPTION:This workshop will cover regression analysis using linear models and least squares in Python.  We will discuss the goals and main use-cases for linear regression\, and how to interpret a fitted linear model.  We will then discuss methods for fitting more complex models with larger data sets\, including the use of interactions\, dummy-coding of categorical variables\, and splines.  Finally we will discuss some aspects of statistical inference and model selection for linear regression. Several case studies using open data sets will be used to illustrate the approaches.   \nParticipants should bring a laptop if they want to work with the examples during the presentation\, but this is optional.
URL:https://micde.umich.edu/event/linear-regression-analysis-in-python/
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
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180126T140000
DTEND;TZID=America/Detroit:20180126T170000
DTSTAMP:20260603T204444
CREATED:20230905T171417Z
LAST-MODIFIED:20230905T171417Z
UID:10000100-1516975200-1516986000@micde.umich.edu
SUMMARY:Introductory GIS
DESCRIPTION:This workshop will cover introductory GIS concepts\, tools\, and techniques. We will use ArcGIS to learn basics of GIS by solving 2-3 specific problems. We will use the graphical user interface of ArcGIS and no programming experience is required for this workshop. The workshop will also cover the basics of projections and spatial data. \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/introductory-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
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180123T100000
DTEND;TZID=America/Detroit:20180123T150000
DTSTAMP:20260603T204444
CREATED:20230905T171417Z
LAST-MODIFIED:20230905T171417Z
UID:10000123-1516701600-1516719600@micde.umich.edu
SUMMARY:Android Application Development: Why and How
DESCRIPTION:Mobile app development is one of the biggest new industries of the last decade. As of 2017\, Google has stated that over 2 billion devices around the world use the Android operating system\, alongside Apple’s 1 billion iOS mobile devices around the globe. The capabilities and adopted use of modern smartphones can provide an easy gateway to collect data or engage with participants for research purposes. It might seem a daunting task for newcomers to write a program for the computer in their pocket\, but modern tools and software make it more accessible than ever. We will present a brief overview of the differences between Android and iOS development requirements\, and provide demonstrations on how to program an app for your Android phone using a Windows PC environment and a sample of free software packages. \nA familiarity with programming languages and logic is assumed. Program code presented during the workshop may be written in languages including (but not limited to) Java and C#\, familiarity with syntax of these languages is recommended. It is not expected for attendees to program during the workshop\, but those who wish to do so are recommended to install the “Android Studio” IDE in advance.
URL:https://micde.umich.edu/event/android-application-development-why-and-how/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Data Science,Workshops
GEO:42.2807892;-83.7381556
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20161101T160000
DTEND;TZID=America/Detroit:20161101T170000
DTSTAMP:20260603T204444
CREATED:20230905T171440Z
LAST-MODIFIED:20230905T171440Z
UID:10000049-1478016000-1478019600@micde.umich.edu
SUMMARY:Info Session: Data Services at U-M
DESCRIPTION:Representatives of Consulting for Statistics\, Computing and Analytics Research (CSCAR) and the U-M Library (UML) will give an overview of services that are now available to support data-intensive research on campus.  As part of the U-M Data Science Initiative\, CSCAR and UML are expanding their scopes and adding capacity to support a wide range of research involving data and computation.  This includes consulting\, workshops\, and training designed to meet basic and advanced needs in data management and analysis\, as well as specialized support for areas such as remote sensing and geospatial analyses\, and a funding program for dataset acquisitions.  Many of these services are available free of charge to U-M researchers. \nThis event will begin with overview presentations about CSCAR and Library system data services.  There will also be opportunities for researchers to discuss individualized partnerships with CSCAR and UML to advance specific data-intensive projects.  Faculty\, staff\, and students are welcome to attend.
URL:https://micde.umich.edu/event/info-session-data-services-at-u-m-2/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Data Science,Info Session
GEO:42.2807892;-83.7381556
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20160505T090000
DTEND;TZID=America/Detroit:20160505T170000
DTSTAMP:20260603T204444
CREATED:20230905T171441Z
LAST-MODIFIED:20230905T171441Z
UID:10000002-1462438800-1462467600@micde.umich.edu
SUMMARY:Introduction to Survey Design: Data Collection\, Questionnaire Design and Response Processes-Lecture
DESCRIPTION:This lecture-format workshop will present an overview of available modes and methods of survey data collection as well as an introduction to the survey response process and implications for questionnaire design.  Participants will gain an appreciation of the tradeoffs inherent in survey design decisions and how design can affect data quality and survey errors. Topics will include: \n\nSurvey errors\, in particular measurement\, coverage\, and nonresponse error.\nWhat to consider when selecting a data collection method for a particular research question.\nMeasurement (response) error and how to reduce it through question wording/format and questionnaire structure.\n\nThe role of the interviewer and interviewer effects.
URL:https://micde.umich.edu/event/introduction-to-survey-design-data-collection-questionnaire-design-and-response-processes-lecture/
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
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
END:VCALENDAR