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X-WR-CALDESC:Events for Michigan Institute for Computational Discovery and Engineering
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210812T140000
DTEND;TZID=America/Detroit:20210812T153000
DTSTAMP:20230217T195717Z
CREATED:20210624T171255Z
LAST-MODIFIED:20230217T195717Z
UID:10000496-1628776800-1628782200@micde.umich.edu
SUMMARY:R Short Course: Strings and factors (Part 4)
DESCRIPTION:This is part 4 of a 5-part workshop series on programming in R.  This week\, we’ll discuss strings and factors with an emphasis on working with and formatting strings. These workshops follow a hybrid format: a week before the scheduled meeting time participants will be given access to pre-recorded content and recommended readings to review at their own pace.  The following week\, we’ll meet at the posted time for 90 minutes over Zoom to answer questions and work on a collection of exercises.   \nAt the end of the course\, we’ll gather for a 3-hour practicum\, in which we’ll program a console version of the game “Mastermind”.
URL:https://micde.umich.edu/event/r-short-course-strings-and-factors-part-4/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210809T100000
DTEND;TZID=America/Detroit:20210809T130000
DTSTAMP:20230217T195703Z
CREATED:20210518T155547Z
LAST-MODIFIED:20230217T195703Z
UID:10000479-1628503200-1628514000@micde.umich.edu
SUMMARY:Wear OS: Creating An App For Your Android Smartwatch
DESCRIPTION:Smartwatches are multi-functional devices that can be worn on the wrist. They can read your heartbeat\, notify you of messages from your phone\, and can even tell the time! Google’s “Wear OS” is a branch of the Android mobile operating system\, and it encourages open app development. \nThis workshop is meant to introduce programming for a Wear OS watch. This will introduce some of the functions and sensors of a smartwatch\, through the programming of a simple app that reads your heartbeat. Participants will learn how to access and display this sensor information\, and how to save the data locally on the watch\, using Java and Android Studio\, with a step-by-step example. Participants who want to program during the workshop are recommended to install “Android Studio” in advance and to use their own laptops to use during the presentation. \nPlease register at least 24 hours in advance. Event may be canceled if pre-registration is low.
URL:https://micde.umich.edu/event/wear-os-creating-an-app-for-your-android-smartwatch/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210805T140000
DTEND;TZID=America/Detroit:20210805T153000
DTSTAMP:20230217T195717Z
CREATED:20210624T170939Z
LAST-MODIFIED:20230217T195717Z
UID:10000495-1628172000-1628177400@micde.umich.edu
SUMMARY:R Short Course: Programming Tools (Part 3)
DESCRIPTION:This is part 3 of a 5-part workshop series on programming in R.  This week\, we’ll discuss the following programming tools: logical comparisons\, conditionals\, iteration\, and functions. You’ll learn how to write functions and why you should (generally) organize your code in a functional style. These workshops follow a hybrid format: a week before the scheduled meeting time participants will be given access to pre-recorded content and recommended readings to review at their own pace.  The following week\, we’ll meet at the posted time for 90 minutes over Zoom to answer questions and work on a collection of exercises.  At the end of the course\, we’ll gather for a 3-hour practicum\, in which we’ll program a console version of the game “Mastermind”.
URL:https://micde.umich.edu/event/r-short-course-programming-tools-part-3/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210803T100000
DTEND;TZID=America/Detroit:20210803T120000
DTSTAMP:20210521T182930Z
CREATED:20210521T182930Z
LAST-MODIFIED:20210521T182930Z
UID:10000482-1627984800-1627992000@micde.umich.edu
SUMMARY:Object Detection using Deep Learning with TorchVision
DESCRIPTION:Like many image processing problems\, deep learning has brought many effective solutions to the task of object detection. The TorchVision library is part of the PyTorch project\, and it offers well-established and successful methods for object detection (as well as many other problems). This workshop will demonstrate the process of preparing your own image dataset and training it using TorchVision with one of Google Colab’s free-to-use GPUs. The workshop will be done online via Zoom. Some experience with Python is helpful\, but no previous experience with PyTorch is needed. Google Colab requires a Google account (e.g. your umich account).
URL:https://micde.umich.edu/event/object-detection-using-deep-learning-with-torchvision-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210802T100000
DTEND;TZID=America/Detroit:20210802T130000
DTSTAMP:20210518T154935Z
CREATED:20210518T154935Z
LAST-MODIFIED:20210518T154935Z
UID:10000478-1627898400-1627909200@micde.umich.edu
SUMMARY:Android Application Development: Introduction to Android Studio
DESCRIPTION:Mobile app development is one of the biggest new industries of the last decade. If you are developing an Android app 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 use their own laptops to use during the presentation. \nPlease register at least 24 hours in advance. Event may be canceled if pre-registration is low.
URL:https://micde.umich.edu/event/android-application-development-introduction-to-android-studio-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210729T140000
DTEND;TZID=America/Detroit:20210729T153000
DTSTAMP:20230217T195712Z
CREATED:20210624T170550Z
LAST-MODIFIED:20230217T195712Z
UID:10000494-1627567200-1627572600@micde.umich.edu
SUMMARY:R Short Course: Vectors and Data Frames (Part 2)
DESCRIPTION:This is part 2 of a 5-part workshop series on programming in R.  This week\, we’ll discuss the following topics: vectors\, types\, lists\, and data frames. You’ll learn about indexing each of these objects and using `subset()`\, `aggregate()`\, and `merge()` for working with data frames. These workshops follow a hybrid format: a week before the scheduled meeting time participants will be given access to pre-recorded content and recommended readings to review at their own pace.  The following week\, we’ll meet at the posted time for 90 minutes over Zoom to answer questions and work on a collection of exercises.  At the end of the course\, we’ll gather for a 3-hour practicum\, in which we’ll program a console version of the game “Mastermind”. 
URL:https://micde.umich.edu/event/r-short-course-vectors-and-data-frames-part-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210727T150000
DTEND;TZID=America/Detroit:20210727T160000
DTSTAMP:20230217T195718Z
CREATED:20210713T154234Z
LAST-MODIFIED:20230217T195718Z
UID:10000498-1627398000-1627401600@micde.umich.edu
SUMMARY:Geostatistics – III
DESCRIPTION:Many environmental variables such as temperature\, rainfall\, air pollutants\, and soil nutrients are measured at sampled point locations. We often need to estimate these variables at one of more unsampled locations. Geostatistics provide tools and techniques to carry out this task. \n\nIn a series of three workshops\, we will cover the basics of Geostatistics. In this third workshop\, we will combine the material we covered in the first two workshops and develop the geostatistical modeling approach. This is mainly a lecture style workshop\, but will include an example in R. The material will also help you understand the basics of Gaussian Process Regression\, a commonly used modeling technique in Machine Learning.
URL:https://micde.umich.edu/event/geostatistics-iii/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210726T100000
DTEND;TZID=America/Detroit:20210726T120000
DTSTAMP:20210518T154620Z
CREATED:20210518T154620Z
LAST-MODIFIED:20210518T154620Z
UID:10000477-1627293600-1627300800@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 (including smartphones\, smartwatches\, and much more) 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 you to consider and to answer questions on the topic. \nPlease register at least 24 hours in advance. Event may be canceled if pre-registration is low.
URL:https://micde.umich.edu/event/android-application-development-an-overview-4/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210722T140000
DTEND;TZID=America/Detroit:20210722T153000
DTSTAMP:20230217T195712Z
CREATED:20210624T165605Z
LAST-MODIFIED:20230217T195712Z
UID:10000493-1626962400-1626967800@micde.umich.edu
SUMMARY:R Short Course: Getting Started (Part 1)
DESCRIPTION:This is part 1 of a 5-part series of workshops on programming in R.  This week\, we’ll discuss the following topics: creation and naming of objects\, R’s global environment\, arithmetic operations\, R’s package system\, and reading and writing data. These workshops follow a hybrid format: a week before the scheduled meeting time participants will be given access to pre-recorded content and recommended readings to review at their own pace.  The following week\, we’ll meet at the posted time for 90 minutes over Zoom to answer questions and work on a collection of exercises.  At the end of the course\, we’ll gather for a 3-hour practicum\, in which we’ll program a console version of the game “Mastermind”.
URL:https://micde.umich.edu/event/r-short-course-getting-started-part-1/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210715T150000
DTEND;TZID=America/Detroit:20210715T160000
DTSTAMP:20210615T153121Z
CREATED:20210615T153121Z
LAST-MODIFIED:20210615T153121Z
UID:10000491-1626361200-1626364800@micde.umich.edu
SUMMARY:Geostatistics – II
DESCRIPTION:Many environmental variables such as temperature\, rainfall\, air pollutants\, and soil nutrients are measured at sampled point locations. We often need to estimate these variables at one of more unsampled locations. Geostatistics provide tools and techniques to carry out this task. \n\nIn a series of three workshops\, we are covering the basics of Geostatistics. In this second workshop\, we will focus on covariance and variogram\, and their estimation in the context of geostatistical modeling. This is mainly a lecture style workshop\, but we will also execute some examples in R. The material will also help you understand the basics of Gaussian Process Regression\, a commonly used modeling technique in Machine Learning.
URL:https://micde.umich.edu/event/geostatistics-ii-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210706T100000
DTEND;TZID=America/Detroit:20210706T120000
DTSTAMP:20210521T181521Z
CREATED:20210521T181521Z
LAST-MODIFIED:20210521T181521Z
UID:10000481-1625565600-1625572800@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. All examples will use Python; some familiarity with Python is recommended. The workshop will be done online via Zoom. We will run the models using Google Colab\, which requires a Google account.
URL:https://micde.umich.edu/event/introduction-to-deep-neural-networks-with-keras-tensorflow-11/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210629T150000
DTEND;TZID=America/Detroit:20210629T160000
DTSTAMP:20230217T195709Z
CREATED:20210610T164412Z
LAST-MODIFIED:20230217T195709Z
UID:10000490-1624978800-1624982400@micde.umich.edu
SUMMARY:Geostatistics – I
DESCRIPTION:Many environmental variables such as temperature\, rainfall\, air pollutants\, and soil nutrients are measured at sparsely sampled point locations. We often need to estimate these variables at one of more unsampled locations. Geostatistics provide tools and techniques to carry out this task. \n\nIn a series of three workshops\, we will cover the basics of Geostatistics. In this first workshop we will understand the idea of stationary random fields\, positive definite functions\, and the fundamental building blocks of Gaussian random fields. This is mainly a lecture style workshop\, but we will also execute some examples in R. The material will also help you understand the foundations of Gaussian Process Regression\, a commonly used technique in Machine Learning and AI.
URL:https://micde.umich.edu/event/geostatistics-i/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210616T153000
DTEND;TZID=America/Detroit:20210616T163000
DTSTAMP:20230905T171445Z
CREATED:20230905T171445Z
LAST-MODIFIED:20230905T171445Z
UID:10000476-1623857400-1623861000@micde.umich.edu
SUMMARY:GIS Fundamentals – Understanding and manipulating elevation data
DESCRIPTION:Elevation data can come in the form of point (e.g. from LiDAR)\, digital elevation model (DEM)\, or triangulated irregular network (TIN). In this workshop we will focus on DEM and TIN. We will learn about each model and related data structure\, their relative strengths\, the kind of information they provide\, and how to obtain downstream derived information. This is a lecture-style workshop and the primary focus will be about understanding the two models. However\, we will also see examples in ArcGIS or QGIS \n\nParticipants should know GIS and be familiar with vector and raster data.
URL:https://micde.umich.edu/event/gis-fundamentals-understanding-and-manipulating-elevation-data/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210615T100000
DTEND;TZID=America/Detroit:20210615T120000
DTSTAMP:20230905T171445Z
CREATED:20230905T171445Z
LAST-MODIFIED:20230905T171445Z
UID:10000480-1623751200-1623758400@micde.umich.edu
SUMMARY:Image Segmentation using Deep Learning with FastAI
DESCRIPTION:Like other image processing problems\, deep learning has brought many effective solutions to the task of image segmentation. This workshop will introduce you to the methods used in image segmentation\, demonstrate how to prepare your own segmentation masks using Matlab\, and guide you through performing image segmentation using the FastAI [fast.ai] Python library\, which is built on the deep learning library PyTorch. Some familiarity with Python is expected\, but no previous experience with FastAI or PyTorch is needed. The workshop will be done online via Zoom. We will run the code using Google Colab (with free-to-use GPUs)\, which requires a Google account.
URL:https://micde.umich.edu/event/image-segmentation-using-deep-learning-with-fastai-3/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210604T153000
DTEND;TZID=America/Detroit:20210604T163000
DTSTAMP:20230905T171445Z
CREATED:20230905T171445Z
LAST-MODIFIED:20230905T171445Z
UID:10000475-1622820600-1622824200@micde.umich.edu
SUMMARY:GIS Fundamentals - Height and Vertical Datum
DESCRIPTION:Understanding how heights are measured and recorded in GIS systems are essential for many applied tasks such as modeling flood risk due to sea level rise. In this workshop we will understand vertical datums\, the concept of height\, and what do terms like orthometric height and ellipsoid height mean. This will be a lecture-style workshop with a focus on conceptual details. \nParticipants should know basic GIS and should be familiar with horizontal datums.
URL:https://micde.umich.edu/event/gis-fundamentals-height-and-vertical-datum/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210526T153000
DTEND;TZID=America/Detroit:20210526T170000
DTSTAMP:20230905T171444Z
CREATED:20230905T171444Z
LAST-MODIFIED:20230905T171444Z
UID:10000474-1622043000-1622048400@micde.umich.edu
SUMMARY:GIS Fundamentals –  Spatial Database\, PostGIS
DESCRIPTION:PostGIS\, built on top of PostgreSQL\, is the most powerful open-source relational database for managing spatial data. In this workshop we will cover the basic concept of spatial databases\, learn about setting PostGIS\, and understand how PostGIS can help us manage large volumes of vector data spread over multiple tables and geometries efficiently.  We will also touch upon topics such as spatial indexing and the capabilities of PostGIS for other data models for 2-D GIS such as the network and raster data model.
URL:https://micde.umich.edu/event/gis-fundamentals-spatial-database-postgis/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210524T130000
DTEND;TZID=America/Detroit:20210524T150000
DTSTAMP:20230905T171444Z
CREATED:20230905T171444Z
LAST-MODIFIED:20230905T171444Z
UID:10000472-1621861200-1621868400@micde.umich.edu
SUMMARY:SRTI: Software For Cross-Language Real-Time Data Communication
DESCRIPTION:Computer software simulation is used in virtually every discipline. These programs virtually represent small components of real-world events and behaviors\, and allow scientists to test different models to guide real-world research. However\, these can be individually complex\, and written in different computer languages and programs. It’s a difficult task to combine simulators from different parts of a research team to represent larger systems. \nThe “Simple Run-Time Infrastructure” is an open-source\, free-to-use software tool\, developed at the University of Michigan. It was built to simplify the process of sharing data between multiple live simulators\, using a “publish/subscribe” model with messages rather than directly to specific programs. This workshop will present the background of the SRTI’s development\, what it is capable of\, and will provide a step-by-step example for participants. \nJava will be required to run the SRTI. The live example will use an optional mixture that includes simulators written in Java\, Matlab\, and Python. \nThis special-track workshop (provided as a “seminar-style”) is open to researchers both inside and outside the University of Michigan. Up to 300 attendees can attend through Zoom.\nWe ask attendees to “register” by filling out the following Google Forms survey. The survey will provide a Zoom link for you to copy into your calendar.\nThe Google Forms survey link is: https://docs.google.com/forms/d/e/1FAIpQLSeMyniPQs7G1iuohuvSAdU4KE64-BQrCgrZRnC6YzxeCLFv7g/viewform?usp=sf_link \nPlease register at least 48 hours in advance.
URL:https://micde.umich.edu/event/srti-software-for-cross-language-real-time-data-communication-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210510T130000
DTEND;TZID=America/Detroit:20210510T150000
DTSTAMP:20230905T171444Z
CREATED:20230905T171444Z
LAST-MODIFIED:20230905T171444Z
UID:10000471-1620651600-1620658800@micde.umich.edu
SUMMARY:Software Development For Research: Best Practices for Coding Styles
DESCRIPTION:Software development and computer programming is increasingly a major part of scientific research. Having a consistent coding style and following basic best practices used in the industry can help make your code easier to read and manage\, both internally in your teams and for public code projects available to other researchers. This workshop will cover some general guidelines and suggestions to clean up your coding style. Attendees will learn helpful tips for computer coding and how to make their code readable to other collaborators. \nRegistrants will receive a Zoom link within 24 hours of event. Please register at least 24 hours in advance.
URL:https://micde.umich.edu/event/software-development-for-research-best-practices-for-coding-styles-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210413T100000
DTEND;TZID=America/Detroit:20210413T120000
DTSTAMP:20230905T171445Z
CREATED:20230905T171445Z
LAST-MODIFIED:20230905T171445Z
UID:10000432-1618308000-1618315200@micde.umich.edu
SUMMARY:Object Detection using Deep Learning with TorchVision
DESCRIPTION:Like many image processing problems\, deep learning has brought many effective solutions to the task of object detection. The TorchVision library is part of the PyTorch project\, and it offers well-established and successful methods for object detection (as well as many other problems). This workshop will demonstrate the process of preparing your own image dataset and training it using TorchVision with one of Google Colab’s free-to-use GPUs. The workshop will be done online via Zoom. Some experience with Python is helpful\, but no previous experience with PyTorch is needed. Google Colab requires a Google account (e.g. your umich account).
URL:https://micde.umich.edu/event/object-detection-using-deep-learning-with-torchvision/
LOCATION:Your Desktop
CATEGORIES:Featured Events,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210409T140000
DTEND;TZID=America/Detroit:20210409T153000
DTSTAMP:20230905T171443Z
CREATED:20230905T171443Z
LAST-MODIFIED:20230905T171443Z
UID:10000466-1617976800-1617982200@micde.umich.edu
SUMMARY:GIS Fundamentals – (Map visualization - II)
DESCRIPTION:This workshop will further develop the material covered on mapping in the first workshop a few weeks back. We will focus on basic cartography principles for map-making and explore the functionalities of R and QGIS for making production-quality bi-variate static and dynamic choropleth maps. We will also explore the functionalities of leaflet\, a powerful library\, to create web maps and add extra information about more than two variables. \nParticipants should have some familiarity with R\, but exposure to QGIS is not required.
URL:https://micde.umich.edu/event/gis-fundamentals-map-visualization-ii/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210329T150000
DTEND;TZID=America/Detroit:20210329T163000
DTSTAMP:20230905T171443Z
CREATED:20230905T171443Z
LAST-MODIFIED:20230905T171443Z
UID:10000465-1617030000-1617035400@micde.umich.edu
SUMMARY:GIS Fundamentals – (PostGIS-II)
DESCRIPTION:This workshop will further develop the material covered on spatial databases in the first workshop a few weeks back. PostGIS is the most widely used spatial database and is built on top of PostgreSQL\, a powerful open source relational database. The focus of this workshop is to exploit PostGIS to deal with big vector data\, and use familiar tools in R to reduce the burden to learn SQL. \n\nThis is a hands-on workshop. Please make sure that you have PostgreSQL installed along with pgAdmin. \nParticipants should be familiar with vector data processing in R.
URL:https://micde.umich.edu/event/gis-fundamentals-postgis-ii/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210324T130000
DTEND;TZID=America/Detroit:20210324T150000
DTSTAMP:20230905T171443Z
CREATED:20230905T171443Z
LAST-MODIFIED:20230905T171443Z
UID:10000440-1616590800-1616598000@micde.umich.edu
SUMMARY:Software Development For Research: Team-Based Programming Practices
DESCRIPTION:Software development and computer programming is increasingly a major part of scientific research. When small or large teams are involved in coding the same project\, it’s a good idea to adopt team-based practices\, such as “pair programming” or “code review” meetings\, to ensure quality is maintained in the code. This hands-on workshop will provide examples of these topics in action\, and attendees will leave prepared to use these skills in their own work groups. \nThis is part of a series of workshops focused on software and coding from a research perspective.
URL:https://micde.umich.edu/event/software-development-for-research-team-based-programming-practices/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210317T150000
DTEND;TZID=America/Detroit:20210317T163000
DTSTAMP:20230905T171300Z
CREATED:20230905T171300Z
LAST-MODIFIED:20230905T171300Z
UID:10000460-1615993200-1615998600@micde.umich.edu
SUMMARY:GIS Fundamentals – VI (Map visualization)
DESCRIPTION:This is the sixth workshop in a series of workshops we are offering this semester on the fundamentals of GIS. Each workshop covers one or two key elements of GIS and is self-contained. The focus is on conceptual details that can provide sufficient preparation for applications\, but we will also touch upon the technical aspects. \n\nThis workshop will cover basic concepts and tools available in QGIS and R for visualizing vector spatial data as single and bi-variate static choropleth maps. We will focus on basic cartography principles for map-making and explore the functionalities of R and QGIS for making production-quality maps. \n\nParticipants should have some familiarity with R\, but exposure to QGIS is not required.
URL:https://micde.umich.edu/event/gis-fundamentals-vi-map-visualization/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210316T100000
DTEND;TZID=America/Detroit:20210316T120000
DTSTAMP:20230905T171300Z
CREATED:20230905T171300Z
LAST-MODIFIED:20230905T171300Z
UID:10000431-1615888800-1615896000@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. All examples will use Python; some familiarity with Python is recommended. The workshop will be done online via Zoom. We will run the models using Google Colab\, which requires a Google account.
URL:https://micde.umich.edu/event/introduction-to-deep-neural-networks-with-keras-tensorflow-10/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210310T130000
DTEND;TZID=America/Detroit:20210310T150000
DTSTAMP:20230905T171300Z
CREATED:20230905T171300Z
LAST-MODIFIED:20230905T171300Z
UID:10000439-1615381200-1615388400@micde.umich.edu
SUMMARY:Software Development For Research: Version Control Principles
DESCRIPTION:Software development and computer programming is increasingly a major part of scientific research. Projects can quickly grow\, and it can be difficult to manage changes\, especially if multiple programmers are editing the same project at once! This workshop will cover Git\, a commonly-used tool for managing coding projects with multiple users\, with features to make or remove edits\, and track information related to those changes. After completing the workshop attendees will have a good understanding of Git workflow and will know how to perform the most common Git operations via the command line. \nThis is part of a series of workshops focused on software and coding from a research perspective.
URL:https://micde.umich.edu/event/software-development-for-research-version-control-principles/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210305T153000
DTEND;TZID=America/Detroit:20210305T170000
DTSTAMP:20230905T171300Z
CREATED:20230905T171300Z
LAST-MODIFIED:20230905T171300Z
UID:10000456-1614958200-1614963600@micde.umich.edu
SUMMARY:GIS Fundamentals – V (Spatial Database - PostGIS)
DESCRIPTION:This is the fifth workshop in a series of workshops we are offering this semester on the fundamentals of GIS. Each workshop covers one or two key elements of GIS and is somewhat self-contained. The focus is on conceptual details that can provide sufficient preparation for applications\, but we will also touch upon the technical aspects. \n\nIn this workshop we will cover the basic concepts of spatial databases and learn about setting up and using PostGIS\, an open source spatial database built on top of PostgreSQL\, along with R for vector data analysis. We will also touch upon topics such as spatial indexing\, query processing and the capabilities of PostGIS for other data models such as the network and raster data model. This is a hands-on workshop and the instructor will use a Mac machine. If you intend to use a Windows or Linux machine please get in touch with the instructor before the workshop at manishve@umich.edu.
URL:https://micde.umich.edu/event/gis-fundamentals-v-spatial-database-postgis/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210226T140000
DTEND;TZID=America/Detroit:20210226T153000
DTSTAMP:20230905T171259Z
CREATED:20230905T171259Z
LAST-MODIFIED:20230905T171259Z
UID:10000435-1614348000-1614353400@micde.umich.edu
SUMMARY:Introduction to Stata: Data Manipulation
DESCRIPTION:This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are:\n\nSection 1: The Basics of Stata – Interacting with Stata and working with data sets. (2/22 2-3:30)\nSection 2: Data Management – The basics of maintaining and exploring a data set. (2/24 2-3:30)\nSection 3: Data Manipulation – Creating and modifying variables and other ways of manipulating your data. (2/26 2-3:30)\n\nYou do not need to attend all sessions; however\, the sessions build on each other and it will be assumed you are familiar with the material in earlier sessions. The workshop materials can be found at https://cscar.github.io/workshop-stata-intro/ for review.\n\nIt is strongly encouraged that you have Stata available on your local computer\, though not required. You may access Stata through midesktop (https://midesktop.umich.edu/) if needed.
URL:https://micde.umich.edu/event/introduction-to-stata-data-manipulation/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210225T160000
DTEND;TZID=America/Detroit:20210225T170000
DTSTAMP:20230905T171259Z
CREATED:20230905T171259Z
LAST-MODIFIED:20230905T171259Z
UID:10000455-1614268800-1614272400@micde.umich.edu
SUMMARY:CoreLogic property data
DESCRIPTION:The University of Michigan library system has licensed a large data set containing real estate transactions\, deeds\, and property tax records for the United States.  The data were collected by the commercial vendor CoreLogic\, and our license allows UM researchers to use the data for research purposes.  These data are of potential interest to researchers in many fields\, as they capture spatial and temporal real estate market conditions\, taxing practices\, and the physical states of millions of residential structures in the US.\n\n \nIn this workshop\, participants will learn to create geographical subsets of the data\, seamlessly integrate it in workflow\, and see examples of research questions where the data can be useful. Participants should know Python and R.
URL:https://micde.umich.edu/event/corelogic-property-data-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210224T140000
DTEND;TZID=America/Detroit:20210224T170000
DTSTAMP:20260605T170120Z
CREATED:20230905T171259Z
LAST-MODIFIED:20260605T170120Z
UID:10000454-1614175200-1614186000@micde.umich.edu
SUMMARY:Using GPUs with Python
DESCRIPTION:Python is the Lingua Franca of Data today and is being increasingly used in scientific computations. This workshop introduces Python GPU tools for porting and writing code that runs on GPUs. The primary tools\, Numba and CuPy\, are presented with examples. Back by popular demand\, this workshop is presented by Kristopher Keipert of NVIDIA. \nThis event is open to students\, faculty\, and staff within the University of Michigan community. A Jupyter notebook is used along with a set of lecture slides. The workshop will use online tools\, so there is no need to install any software ahead of time. \nThis event is brought to you by the Michigan Institute for Computational Discovery and Engineering\, and Consulting for Statistics\, Computing & Analytics Research at the University of Michigan in partnership with NVIDIA. \nSpace is limited\, register today!
URL:https://micde.umich.edu/event/using-gpus-with-python-4/
LOCATION:Your Desktop
CATEGORIES:Featured Events,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20210224T140000
DTEND;TZID=America/Detroit:20210224T153000
DTSTAMP:20230905T171259Z
CREATED:20230905T171259Z
LAST-MODIFIED:20230905T171259Z
UID:10000436-1614175200-1614180600@micde.umich.edu
SUMMARY:Introduction to Stata: Data Management
DESCRIPTION:This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are:\n\nSection 1: The Basics of Stata – Interacting with Stata and working with data sets. (2/22 2-3:30)\nSection 2: Data Management – The basics of maintaining and exploring a data set. (2/24 2-3:30)\nSection 3: Data Manipulation – Creating and modifying variables and other ways of manipulating your data. (2/26 2-3:30)\n\nYou do not need to attend all sessions; however\, the sessions build on each other and it will be assumed you are familiar with the material in earlier sessions. The workshop materials can be found at https://cscar.github.io/workshop-stata-intro/ for review.\n\nIt is strongly encouraged that you have Stata available on your local computer\, though not required. You may access Stata through midesktop (https://midesktop.umich.edu/) if needed.
URL:https://micde.umich.edu/event/introduction-to-stata-data-management/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
END:VCALENDAR