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TZID:America/Detroit
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DTSTART:20180311T070000
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191115T140000
DTEND;TZID=America/Detroit:20191115T150000
DTSTAMP:20230905T171337Z
CREATED:20230905T171337Z
LAST-MODIFIED:20230905T171337Z
UID:10000271-1573826400-1573830000@micde.umich.edu
SUMMARY:Stata 16 New Data Management Features
DESCRIPTION:Audience: Stata users familiar with data management who want an overview of the new data management features introduced in Stata 16.\n\nWe’ll cover the two main data management features introduced in Stata 16.\n\n1) Frames – holding multiple data sets in memory simultaneously.\n2) Variable lists – formalizing creation and storage of lists of variables.
URL:https://micde.umich.edu/event/stata-16-new-data-management-features-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:20191113T100000
DTEND;TZID=America/Detroit:20191113T120000
DTSTAMP:20230905T171337Z
CREATED:20230905T171337Z
LAST-MODIFIED:20230905T171337Z
UID:10000285-1573639200-1573646400@micde.umich.edu
SUMMARY:Improving the Performance of Scientific Software
DESCRIPTION:This is a continuation of the workshop “Introduction to performance analysis of scientific software”.  Now\, we know how to measure overall performance of our software and can make a good guess of the main performance bottleneck.  How can we improve the performance? Do we really need to rewrite the whole program in a different language? In this workshop\, we will observe and discuss various methods of performance improvement\, such as using optimized libraries\, multi-language development\, and choosing appropriate algorithms.  In the end\, you will know how to leverage the power of better algorithms and closer-to-metal languages to improve the performance of your software without a total rewrite or hardware upgrades. \n  \nRequirements:  It is recommended to attend “Introduction to performance analysis of scientific software” workshop prior to this one.  If you wish to follow hands-on demonstrations\, you will need to bring your own laptop and have a UMich account.
URL:https://micde.umich.edu/event/improving-the-performance-of-scientific-software/
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:20191112T150000
DTEND;TZID=America/Detroit:20191112T170000
DTSTAMP:20230905T171337Z
CREATED:20230905T171337Z
LAST-MODIFIED:20230905T171337Z
UID:10000264-1573570800-1573578000@micde.umich.edu
SUMMARY:Android Application Development: An Overview
DESCRIPTION:Mobile app development is one of the biggest new industries of the last decade. As of 2017\, Google and Apple (the creators of Android and iOS\, respectively) confirmed a combined total of over 3 billion devices around the globe using their mobile operating systems. The capabilities and built-in sensors on modern smartphones also provide a new avenue to collect data or engage with participants in a non-invasive manner. It might seem intimidating to write a mobile app for the first time\, but the process is similar to writing software for a desktop computer\, which in itself isn’t as hard as you might think! \nWe will present a brief overview on developing Android apps\, the differences between Android and iOS development\, and provide quick demonstrations on how you can use a variety of available programming environments and languages to create an app. A basic familiarity with computer programming is recommended to get the most out of the seminar. This is not an in-depth workshop with the intention to have its participants program code alongside the presentation\, but meant to introduce available options for them to consider and to answer questions on the topic. Separate “hands-on” workshops will be provided later in the academic year based on audience feedback.
URL:https://micde.umich.edu/event/android-application-development-an-overview-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:20191023T100000
DTEND;TZID=America/Detroit:20191023T120000
DTSTAMP:20230905T171336Z
CREATED:20230905T171336Z
LAST-MODIFIED:20230905T171336Z
UID:10000284-1571824800-1571832000@micde.umich.edu
SUMMARY:Introduction to Performance Analysis of Scientific Software
DESCRIPTION:We all had this: “My program is too slow”. We all have heard: “Use Fortran and C++\, they are fast.”  But will it really help? We all have heard also: “Don’t bother\, use Python and R on a better computer”\, and “HPC clusters are fast”.  But what does “better” and “fast” even mean? In this workshop\, we will observe\, measure and discuss performance behavior of various scientific workloads\, and learn about typical performance classes and basic performance measuring methodology.  In the end\, you will be able to classify your expected workload and make an educated guess whether changing the programming language\, upgrading the computer\, or applying for cluster computing time would likely be advantageous. \n  \nRequirements: If you wish to follow hands-on demonstrations\, you will need to bring your own laptop and have a UMich account.
URL:https://micde.umich.edu/event/introduction-to-performance-analysis-of-scientific-software/
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:20191016T133000
DTEND;TZID=America/Detroit:20191016T163000
DTSTAMP:20230905T171337Z
CREATED:20230905T171337Z
LAST-MODIFIED:20230905T171337Z
UID:10000283-1571232600-1571243400@micde.umich.edu
SUMMARY:Geometric Network Analysis
DESCRIPTION:This workshop will cover GIS concepts and techniques for analyzing geometric networks embedded in geographical space. We will mainly focus on road network\, but the ideas and techniques apply to similar network such as the water and electricity distribution networks and gas pipelines. We will use open source tools in R and QGIS. \nYou should know the introductory concepts and tools in GIS and should be familiar with R. Familiarity with QGIS is not required.
URL:https://micde.umich.edu/event/geometric-network-analysis/
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:20190930T130000
DTEND;TZID=America/Detroit:20190930T160000
DTSTAMP:20230905T171405Z
CREATED:20230905T171405Z
LAST-MODIFIED:20230905T171405Z
UID:10000265-1569848400-1569859200@micde.umich.edu
SUMMARY:Data Visualization With 3D Graphics Using Unity3D and C#
DESCRIPTION:Video game development is more accessible than ever before thanks to modern software tools\, with many options free to download. These tools are also used to program more “serious” applications that require interactive 3D graphics\, from mobile apps\, virtual and augmented reality\, computer vision and artificial intelligence\, and real-time CGI film production.  \n  \nUnity3D is a powerful and popular game engine for both hobbyist and professional projects\, able to compile a ‘game’ to almost any computer platform\, and free to download for non-commercial use. This workshop will show how you can use it to render data from research projects in a 3D interactive representation for user analysis and demonstration. \n  \nIn this workshop\, we introduce the Unity3D workspace\, and prepare a demo that allows the user to load an example dataset and view it as a simple set of 3D representations. A 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\, Macintosh and Linux) 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-and-c/
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:20190927T140000
DTEND;TZID=America/Detroit:20190927T160000
DTSTAMP:20230905T171405Z
CREATED:20230905T171405Z
LAST-MODIFIED:20230905T171405Z
UID:10000269-1569592800-1569600000@micde.umich.edu
SUMMARY:Stata 16 New Data Management Features
DESCRIPTION:Audience: Stata users familiar with data management who want an overview of the new data management features introduced in Stata 16.\n\nWe’ll cover the two main data management features introduced in Stata 16.\n\n1) Frames – holding multiple data sets in memory simultaneously.\n2) Variable lists – formalizing creation and storage of lists of variables.
URL:https://micde.umich.edu/event/stata-16-new-data-management-features/
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:20190926T133000
DTEND;TZID=America/Detroit:20190926T163000
DTSTAMP:20230905T171405Z
CREATED:20230905T171405Z
LAST-MODIFIED:20230905T171405Z
UID:10000282-1569504600-1569515400@micde.umich.edu
SUMMARY:Open Source GIS
DESCRIPTION:This workshop will provide a gentle introduction to open source GIS tools in R and QGIS. We will cover introductory GIS concepts and will explore the functionalities of R and QGIS for manipulating and analyzing vector GIS data. Familiarity with R is required.
URL:https://micde.umich.edu/event/open-source-gis-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:20190812T130000
DTEND;TZID=America/Detroit:20190812T160000
DTSTAMP:20230905T171403Z
CREATED:20230905T171403Z
LAST-MODIFIED:20230905T171403Z
UID:10000232-1565614800-1565625600@micde.umich.edu
SUMMARY:Android Application Development: An Introduction to Android Studio
DESCRIPTION:Mobile app development is one of the biggest new industries of the last decade. If you are developing an app in Android for the first time\, the first option you will likely find is “Android Studio\,” a free integrated-developer-environment (IDE) provided directly by the Android team at Google\, using the Java programming language. It’s a good starting point for experienced programmers to build an Android app from scratch. \nWe will present a brief overview of the “Android Studio” environment\, and provide a step-by-step example to make an app with multiple activities and using built-in sensors. A familiarity with the Java programming language is recommended to get the most out of the seminar. Participants who want to program during the workshop are recommended to install “Android Studio” in advance and to bring their own laptops to use during the presentation.
URL:https://micde.umich.edu/event/android-application-development-an-introduction-to-android-studio/
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:20190806T130000
DTEND;TZID=America/Detroit:20190806T150000
DTSTAMP:20230905T171403Z
CREATED:20230905T171403Z
LAST-MODIFIED:20230905T171403Z
UID:10000231-1565096400-1565103600@micde.umich.edu
SUMMARY:Android Application Development: An Overview
DESCRIPTION:Mobile app development is one of the biggest new industries of the last decade. As of 2017\, Google and Apple (the creators of Android and iOS\, respectively) confirmed a combined total of over 3 billion devices around the globe using their mobile operating systems. The capabilities and built-in sensors on modern smartphones also provide a new avenue to collect data or engage with participants in a non-invasive manner. It might seem intimidating to write a mobile app for the first time\, but the process is similar to writing software for a desktop computer\, which in itself isn’t as hard as you might think! \nWe will present a brief overview on developing Android apps\, the differences between Android and iOS development\, and provide quick demonstrations on how you can use a variety of available programming environments and languages to create an app. A basic familiarity with computer programming is recommended to get the most out of the seminar. This is not a in-depth workshop with the intention to have its participants program code alongside the presentation\, but meant to introduce available options for them to consider and to answer questions on the topic. Separate “hands-on” workshops will be provided later in the academic year based on audience feedback.
URL:https://micde.umich.edu/event/android-application-development-an-overview-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:20190805T130000
DTEND;TZID=America/Detroit:20190805T153000
DTSTAMP:20230905T171401Z
CREATED:20230905T171401Z
LAST-MODIFIED:20230905T171401Z
UID:10000227-1565010000-1565019000@micde.umich.edu
SUMMARY:Introduction to Geostatistics
DESCRIPTION:Geostatistics models continuous variation over geographical space. It is widely used for spatial interpolation. We will use R and ArcGIS to explore and develop an understanding of variogram and kriging and how they can be used for robust and unbiased interpolation of data over space. \nDepending on the interests of the participants\, the workshop will also touch upon the computational aspects involved in implementing geostatistical models for relatively large data.
URL:https://micde.umich.edu/event/introduction-to-geostatistics/
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:20190628T130000
DTEND;TZID=America/Detroit:20190628T160000
DTSTAMP:20230905T171402Z
CREATED:20230905T171402Z
LAST-MODIFIED:20230905T171402Z
UID:10000226-1561726800-1561737600@micde.umich.edu
SUMMARY:Modeling spatially correlated data
DESCRIPTION:This workshop will cover introductory concepts\, tools\, and techniques to model spatially referenced data observed over a regular or irregular grid. We will cover models such as spatial autoregressive that emphasizes the idea of spatial correlation via neighborhood. \nThe workshop will focus on conceptual aspects\, diagnostics tests\, implementation in R\, and interpretation of results.
URL:https://micde.umich.edu/event/modeling-spatially-correlated-data/
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:20190604T140000
DTEND;TZID=America/Detroit:20190604T160000
DTSTAMP:20230905T171401Z
CREATED:20230905T171401Z
LAST-MODIFIED:20230905T171401Z
UID:10000230-1559656800-1559664000@micde.umich.edu
SUMMARY:Multiple testing and large-scale inference in Python
DESCRIPTION:This workshop will cover techniques for conducting large-scale inference\, using Python and its libraries.  We will cover the principals of how large scale inference is different from classical inference\, and why multiple comparisons should usually be accounted for in an analysis.  We will then discuss the Bonferroni method\, Benjamini and Hochberg’s False Discovery Rate (FDR)\, Efron’s local FDR\, the Scheffe approach\, and the knockoff filter.  The motivation for each approach will be covered\, and the process for carrying it out in a data analysis will be discussed in detail.  Several case studies will be used to illustrate these analytic approaches.
URL:https://micde.umich.edu/event/multiple-testing-and-large-scale-inference-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:20190530T130000
DTEND;TZID=America/Detroit:20190530T163000
DTSTAMP:20230905T171401Z
CREATED:20230905T171401Z
LAST-MODIFIED:20230905T171401Z
UID:10000225-1559221200-1559233800@micde.umich.edu
SUMMARY:Introduction to GIS
DESCRIPTION:This workshop will cover introductory GIS concepts\, tools\, and techniques. We will use QGIS (and ArcGIS) and learn the basics of vector- and network-data GIS by solving problems.  You will also learn to generate maps. We will use the graphical user interface and no programming experience is required for this workshop. \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/introduction-to-gis/
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:20190528T140000
DTEND;TZID=America/Detroit:20190528T160000
DTSTAMP:20230905T171401Z
CREATED:20230905T171401Z
LAST-MODIFIED:20230905T171401Z
UID:10000229-1559052000-1559059200@micde.umich.edu
SUMMARY:Simulation studies in Python
DESCRIPTION:Simulation studies are used to understand the properties of statistical procedures.  This technique is widely used when conducting power analysis for research studies\,  which is one focus for this workshop.  Simulation studies can also be used to assess the performance of statistical procedures in non-standard settings\, such as when there are concerns about missing data\, selection bias\, measurement errors\, or model specification.  Another role for simulation studies is to contrast the performance of alternative statistical methods\, e.g. for prediction. \nThis workshop will emphasize practical aspects of conducting simulation studies using Python\, including data simulation\, automation\, and interpretation and communication of simulation findings.
URL:https://micde.umich.edu/event/simulation-studies-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:20190522T090000
DTEND;TZID=America/Detroit:20190522T170000
DTSTAMP:20230905T171401Z
CREATED:20230905T171401Z
LAST-MODIFIED:20230905T171401Z
UID:10000007-1558515600-1558544400@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-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:20190521T140000
DTEND;TZID=America/Detroit:20190521T160000
DTSTAMP:20230905T171401Z
CREATED:20230905T171401Z
LAST-MODIFIED:20230905T171401Z
UID:10000228-1558447200-1558454400@micde.umich.edu
SUMMARY:Dimension Reduction with Python
DESCRIPTION:This workshop will cover dimension reduction techniques for data analysis in Python\, focusing on Principal Component Analysis (PCA)\, factor analysis\, and canonical correlation analysis (CCA).  Depending on audience interest\, dimension reduction regression (e.g. SIR)\, and kernel versions of the classical dimension reduction techniques can also be discussed. \nThe presentation will begin by covering the conceptual basis of these methods\, then we will discuss several case studies.  The Statsmodels\, Sklearn\, Numpy\, and Scipy Python libraries will be used to conduct the analyses.  Visualization of results using Matplotlib and Seaborn will also be covered.
URL:https://micde.umich.edu/event/dimension-reduction-with-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:20190423T140000
DTEND;TZID=America/Detroit:20190423T160000
DTSTAMP:20230905T171400Z
CREATED:20230905T171400Z
LAST-MODIFIED:20230905T171400Z
UID:10000216-1556028000-1556035200@micde.umich.edu
SUMMARY:Hands-on session with Python Statsmodels
DESCRIPTION:This semester\, a series of seven workshops was offered by CSCAR illustrating various approaches to statistical analysis using the Python Statsmodels package.  In this session\, we will provide an open forum for people to get hands-on assistance in this environment. Several data sets and suggested analysis goals will be provided\, but participants are also welcome to come with their own data.    \nAttendance at previous workshops in this series is not required. The room for this meeting will not have computers\, so participants must bring their own laptop. If desired\, the instructor can assist with installation of the relevant packages (all of which are free and open source).
URL:https://micde.umich.edu/event/hands-on-session-with-python-statsmodels/
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:20190416T140000
DTEND;TZID=America/Detroit:20190416T160000
DTSTAMP:20230905T171359Z
CREATED:20230905T171359Z
LAST-MODIFIED:20230905T171359Z
UID:10000215-1555423200-1555430400@micde.umich.edu
SUMMARY:Statistical analysis with missing data in Python
DESCRIPTION:Missing data arise in many fields of research\, and a large body of statistical tools has been developed to facilitate statistical analysis in the presence of missing data.  Here we focus mainly on multiple imputation\, which is a broadly-applicable approach for working with missing data. We will illustrate through several case studies how multiple imputation allows certain types of missing data to be rigorously accounted for\, while preserving the flexibility to use a variety of familiar statistical tools to account for other aspects of the data.    \nThe analyses presented in this workshop will 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/statistical-analysis-with-missing-data-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:20190412T133000
DTEND;TZID=America/Detroit:20190412T170000
DTSTAMP:20230905T171359Z
CREATED:20230905T171359Z
LAST-MODIFIED:20230905T171359Z
UID:10000189-1555075800-1555088400@micde.umich.edu
SUMMARY:Open Source GIS and Geometric Network Analysis
DESCRIPTION:This workshop will cover GIS concepts and techniques for analyzing geometric networks embedded in geographical space. We will mainly focus on road network\, but the ideas and techniques apply to similar network such as water and electric distribution and gas pipelines. We will primarily use open source tools in R and QGIS\, but will also touch upon the functionalities in ArcGIS. \nYou should know the introductory concepts and tools in GIS and should be familiar with R and QGIS.
URL:https://micde.umich.edu/event/open-source-gis-and-geometric-network-analysis/
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:20190409T140000
DTEND;TZID=America/Detroit:20190409T160000
DTSTAMP:20230905T171359Z
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:20230905T171400Z
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:20230905T171400Z
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:20230905T171358Z
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:20230905T171358Z
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:20230905T171359Z
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:20230905T171358Z
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:20230905T171358Z
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:20230905T171357Z
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:20230905T171424Z
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
END:VCALENDAR