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DTSTART;TZID=America/Detroit:20190204T130000
DTEND;TZID=America/Detroit:20190204T160000
DTSTAMP:20260603T220326
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190201T140000
DTEND;TZID=America/Detroit:20190201T160000
DTSTAMP:20260603T220326
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190129T140000
DTEND;TZID=America/Detroit:20190129T160000
DTSTAMP:20260603T220326
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190122T140000
DTEND;TZID=America/Detroit:20190122T160000
DTSTAMP:20260603T220326
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180126T140000
DTEND;TZID=America/Detroit:20180126T170000
DTSTAMP:20260603T220326
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180123T100000
DTEND;TZID=America/Detroit:20180123T150000
DTSTAMP:20260603T220326
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20161101T160000
DTEND;TZID=America/Detroit:20161101T170000
DTSTAMP:20260603T220326
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20160505T090000
DTEND;TZID=America/Detroit:20160505T170000
DTSTAMP:20260603T220326
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
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