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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200203T130000
DTEND;TZID=America/Detroit:20200203T160000
DTSTAMP:20260607T115650
CREATED:20230905T171340Z
LAST-MODIFIED:20230905T171340Z
UID:10000302-1580734800-1580745600@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 bring their own laptops to use during the presentation.
URL:https://micde.umich.edu/event/android-application-development-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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200203T150000
DTEND;TZID=America/Detroit:20200203T170000
DTSTAMP:20260607T115650
CREATED:20230905T171340Z
LAST-MODIFIED:20230905T171340Z
UID:10000346-1580742000-1580749200@micde.umich.edu
SUMMARY:Julia drop in coding session
DESCRIPTION:MIDAS and CSCAR will hold a drop-in coding session focusing on using the Julia programming language for basic data analysis.  No prior experience with Julia is expected.  The session will focus on analyzing large public AIS datasets recording the tracks of ships traveling in US coastal waters.  Participants can use [these materials](link below) as a starting point\, learning to manipulate\, analyze and model the AIS data using Julia.  An experienced Julia programmer will be present to explain the example code\, and to guide people who wish to explore the data in other ways.\n\nParticipants should bring a laptop\, and plan to either install Julia on their machine\, or use a Great Lakes account to run Julia on the UM cluster.\n\nhttps://github.com/kshedden/workshops/tree/master/julia_intro
URL:https://micde.umich.edu/event/julia-drop-in-coding-session/
LOCATION:Weiser Hall\, 6th Floor\, 619\, 500 Church Street\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200204T130000
DTEND;TZID=America/Detroit:20200204T160000
DTSTAMP:20260607T115650
CREATED:20230905T171340Z
LAST-MODIFIED:20230905T171340Z
UID:10000308-1580821200-1580832000@micde.umich.edu
SUMMARY:Research Computing on the Great Lakes Cluster
DESCRIPTION:OVERVIEW\nThis workshop will provide a brief overview of the components of the Great Lakes Cluster. The main body of the workshop will cover the resource manager and scheduler\, creating submissions scripts to run jobs and the options available in them\, and hands-on experience. By the end of the workshop\, every participant should have created a submission script\, submitted a job\, tracked its progress\, and collected its output. Participants will have several working examples from which to build their own submissions scripts in their own home directories. \nPRE-REQUISITES\nThis course assumes familiarity with the Linux command line as might be got from the CSCAR/ARC-TS workshop Introduction to the Linux Command Line. In particular\, participants should understand how files and folders work\, be able to create text files using the nano editor\, be able to create and remove files and folders\, and understand what input and output redirection are and how to use them. \nINSTRUCTORS\nDr. Charles J Antonelli\nResearch Computing Services\nLSA Technology Services \nCharles is a High Performance Computing Consultant in the Research Computing Services group of LSA TS at the University of Michigan\, where he is responsible for high performance computing support and education\, and was an Advocate to the Departments of History and Communications. Prior to this\, he built a parallel data ingestion component of a novel earth science data assimilation system\, a secure packet vault\, and worked on the No. 5 ESS Switch at Bell Labs in the 80s. He has taught courses in operating systems\, distributed file systems\, C++ programming\, security\, and database application design. \nJohn Thiels\nResearch Computing Services\nLSA Technology Services \nMark Champe\nResearch Computing Services\nLSA Technology Services \nMATERIALS\nLecture notes\nGreat Lakes HPC cluster \nCOURSE PREPARATION\nIn order to participate successfully in the workshop exercises\, you must have a user login\, a Slurm account\, and be enrolled in Duo. The user login allows you to log in to the cluster\, create\, compile\, and test applications\, and prepare jobs for submission. The Slurm account allows you to submit those jobs\, executing the applications in parallel on the cluster and charging their resource use to the account. Duo is required to help authenticate you to the cluster. \nUSER LOGIN\nIf you don’t already have a Great Lakes user login\, please visit the application page. \nPlease note that obtaining a user account requires human processing\, so be sure to do this at least two business days before class begins. \nSLURM ACCOUNT\nWe create a Slurm account for the workshop so you can run jobs on the cluster during the workshop and for one day after for those who would like additional practice. The workshop job account is quite limited and is intended only to run examples to help you cement the details of job submission and management. If you already have an existing Slurm account\, you can use that\, though if there are any issues with that account\, we will ask you to use the workshop account. \nDUO AUTHENTICATION\nDuo two-factor authentication is required to log in to the cluster. When logging in\, you will need to type your UMICH (AKA Level 1) password as well as authenticate through Duo in order to access Great Lakes. \nIf you need to enroll in Duo\, follow the instructions at Enroll a Smartphone or Tablet in Duo. \nPlease enroll in Duo before you come to class. \nLAPTOP PREPARATION\nYou do not need to bring your own laptop to class. The classroom will provide Windows or Mac computers\, which require your uniqname and UMICH (AKA Level 1) password to login\, and that have all necessary software pre-loaded. \nIf you want to use a laptop for the course\, you are welcome to do so: please see our web page on Preparing your laptop to use Flux (those instructions apply to Great Lakes as well). However\, if there are problems connecting your laptop\, you will be asked to switch to the provided computer for the class. We cannot stop to debug connection issues with personal or departmental laptops during the class.
URL:https://micde.umich.edu/event/research-computing-on-the-great-lakes-cluster-9/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200206T140000
DTEND;TZID=America/Detroit:20200206T160000
DTSTAMP:20260607T115650
CREATED:20230905T171340Z
LAST-MODIFIED:20230905T171340Z
UID:10000321-1580997600-1581004800@micde.umich.edu
SUMMARY:R by Example: Analyzing RECS using data.table
DESCRIPTION:In the R by Example series of workshops\, we’ll discuss example analyses in R as a vehicle for learning  commonly used tools and programming patterns.  The “Analyzing RECS using data.table” workshop will focus on analyzing winter home temperatures in the US using data from the Residential Energy Consumption Survey (https://www.eia.gov/consumption/residential/).  We’ll use the data.table package for data manipulations and ggplot2 for plotting.  The workshop will be organized in a parallel fashion\, with participants given time to build an analysis from scratch by adapting presented examples step by step. In the process\, participants will become familiar with core data.table functionality including its pivot methods.  This workshop is geared towards beginner to intermediate R users or those new to data.table.
URL:https://micde.umich.edu/event/r-by-example-analyzing-recs-using-data-table/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200210T153000
DTEND;TZID=America/Detroit:20200210T170000
DTSTAMP:20260607T115650
CREATED:20230905T171340Z
LAST-MODIFIED:20230905T171340Z
UID:10000334-1581348600-1581354000@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 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-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:20200211T100000
DTEND;TZID=America/Detroit:20200211T140000
DTSTAMP:20260607T115650
CREATED:20230905T171340Z
LAST-MODIFIED:20230905T171340Z
UID:10000315-1581415200-1581429600@micde.umich.edu
SUMMARY:Introduction to Matlab
DESCRIPTION:This workshop will introduce you to Matlab. We will look at general coding syntax\, matrix operations\, writing functions\, symbolic capabilities\, etc. Computers will be available to complete exercises.
URL:https://micde.umich.edu/event/introduction-to-matlab-5/
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200212T100000
DTEND;TZID=America/Detroit:20200212T120000
DTSTAMP:20260607T115650
CREATED:20230905T171342Z
LAST-MODIFIED:20230905T171342Z
UID:10000342-1581501600-1581508800@micde.umich.edu
SUMMARY:Basics of automatic dependency management with Make
DESCRIPTION:In this workshop we will discuss the concept of dependency management\, with the primary focus on build dependencies between software components.  We will learn how to express the dependencies and how to automate the software building process using Make utility and language.  \nWe will go through hands-on exercises and will see how expressing the dependencies decreases the time to build a project.  Although Make is traditionally used in software projects consisting of multiple files of code in a compiled language (such as C\, C++\, Fortran\, or Golang)\, we will also discuss how to utilize Make for dependency management in non-programming projects.  At the end of the workshop you will be able to use Make to script routine tasks and track dependencies automatically.  \n  \nParticipants will need to have laptops with WiFi connection if they wish to follow the hands-on exercises.  A basic knowledge of Unix-like operating systems would be helpful in following and understanding the material\, but is not required.
URL:https://micde.umich.edu/event/basics-of-automatic-dependency-management-with-make/
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:20200214T130000
DTEND;TZID=America/Detroit:20200214T160000
DTSTAMP:20260607T115650
CREATED:20230905T171342Z
LAST-MODIFIED:20260605T170310Z
UID:10000345-1581685200-1581696000@micde.umich.edu
SUMMARY:R II: Programming
DESCRIPTION:People using R for applied research are often not taught basic programming practices such as writing functions\, efficient iterative processing\, vectorization\, and other practices that would make their research far more efficient and reproducible.  Understandably\, focus is on basic data manipulation and getting model results.  Unfortunately\, this can mean the data isn’t as explored as it should be\, or other opportunities are lost (e.g. feature engineering)\, because of the presumed effort that would be required to deal with the data more fully.\n\nThis workshop will help you get more out of R so that you can take your efforts to the next level.\n\nPrereq: Some basic experience using R is required (R I).  You should know how to create and manipulate objects\, run basic analyses\, etc.  This could also be useful to anyone with programming experience in another language like Python.\n\n\nContent Basis: https://m-clark.github.io/data-processing-and-visualization/
URL:https://micde.umich.edu/event/r-ii-programming/
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200217T150000
DTEND;TZID=America/Detroit:20200217T170000
DTSTAMP:20260607T115650
CREATED:20230905T171342Z
LAST-MODIFIED:20230905T171342Z
UID:10000335-1581951600-1581958800@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-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:20200218T083000
DTEND;TZID=America/Detroit:20200218T153000
DTSTAMP:20260607T115650
CREATED:20230905T171342Z
LAST-MODIFIED:20230905T171342Z
UID:10000327-1582014600-1582039800@micde.umich.edu
SUMMARY:Introduction to SAS: Basic Data Manipulating\, Summarizing\, and Graphing
DESCRIPTION:Prerequisites: Familiarity with basic statistical calculations and graphs is helpful. \nIn this one-day\, six-hour workshop we will discuss the basics of using SAS for data analysis. The workshop is held in a computer lab and will alternate between instructor presentations and attendee work sessions. After this course the attendee will be able to load data into SAS from several file formats; create new variables in a dataset; sort\, join\, and subset datasets; create and use data formats; and properly record missing data. Additionally\, the attendee will be able to compute\, in SAS\, basic univariate summaries (e.g.\, means\, standard deviations\, quantiles\, counts\, percentages) and create univariate graphs (e.g.\, histograms\, density curves\, boxplots\, and bar charts). If time permits\, we will discuss multivariate summaries (e.g.\, correlations\, odds ratios) and graphs (e.g.\, scatterplots\, stacked bar charts\, side-by-side boxplots). Good statistical practice will be demonstrated but this workshop is not designed to teach statistics.
URL:https://micde.umich.edu/event/introduction-to-sas-basic-data-manipulating-summarizing-and-graphing/
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200220T143000
DTEND;TZID=America/Detroit:20200220T160000
DTSTAMP:20260607T115650
CREATED:20230905T171342Z
LAST-MODIFIED:20230905T171342Z
UID:10000322-1582209000-1582214400@micde.umich.edu
SUMMARY:R by Example: Functional Programming with dplyr
DESCRIPTION:In the R by Example series of workshops\, we’ll discuss example analyses in R as a vehicle for learning  commonly used tools and programming patterns.  The “Functional Programming with dplyr” workshop will initially focus on analyzing winter home temperatures in the US using data from the Residential Energy Consumption Survey (https://www.eia.gov/consumption/residential/).  We’ll use the dplyr package for data manipulation\, and then demonstrate how to encapsulate the basic pattern within a function. Such functional programming allows us to repeatedly apply this pattern to answer other questions about this data. By using a function\, we make our code more concise and easier to understand. This workshop is geared towards intermediate to advanced R users\, or as a follow-up to the “Analyzing RECS using tidyverse” workshop.
URL:https://micde.umich.edu/event/r-by-example-functional-programming-with-dplyr/
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200220T160000
DTEND;TZID=America/Detroit:20200220T170000
DTSTAMP:20260607T115650
CREATED:20230905T171342Z
LAST-MODIFIED:20230905T171342Z
UID:10000347-1582214400-1582218000@micde.umich.edu
SUMMARY:Workshop: Corelogic real estate data for research
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. \nIn this workshop\, members of MIDAS and CSCAR will go over the contents and limitations of the data\, some examples of research questions that used this set of data\, and some of the computational and analytic tools that have been successfully used with these data in the past. CSCAR consultants can provide free guidance for researchers wishing to work with these data\, including both methodological and computational aspects of the work. We will also be happy to discuss with you to help you decide how this dataset can be used for your specific research questions.
URL:https://micde.umich.edu/event/corelogic-real-estate-data-for-research/
LOCATION:Weiser Hall\, 6th Floor\, 619\, 500 Church Street\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200221T093000
DTEND;TZID=America/Detroit:20200221T160000
DTSTAMP:20260607T115650
CREATED:20230905T171342Z
LAST-MODIFIED:20230905T171342Z
UID:10000325-1582277400-1582300800@micde.umich.edu
SUMMARY:Introduction to Stata
DESCRIPTION:Audience: Those who have never used Stata before but wish to learn.\n\nBy the end of the workshop\, participants will be able to:\n\n\nWork with Stata\, including using Do-files and using the help system\nGet data into Stata and manage your data files\nEstablish familiarity with your data\nClean the data to prepare it for analysis\nCheck for basic errors in the data\nGenerate new variables or manipulate existing variables\nMerge or reshape the data\nProduce summary tables and descriptive statistics\n\n\nNote: This workshop does NOT cover any statistical modeling.\n\nNote: This workshop is based on Stata 15; it does not cover the new features in Stata 16.\nSee upcoming workshop “Stata 16 New Data Management Features” for that material.
URL:https://micde.umich.edu/event/introduction-to-stata-5/
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200224T150000
DTEND;TZID=America/Detroit:20200224T170000
DTSTAMP:20260607T115650
CREATED:20230905T171342Z
LAST-MODIFIED:20230905T171342Z
UID:10000336-1582556400-1582563600@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-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:20200226T100000
DTEND;TZID=America/Detroit:20200226T120000
DTSTAMP:20260607T115650
CREATED:20230905T171341Z
LAST-MODIFIED:20230905T171341Z
UID:10000343-1582711200-1582718400@micde.umich.edu
SUMMARY:Building software projects with Make: beyond basics
DESCRIPTION:In this workshop we will use Make to manage build dependency in a multi-file\, multi-language software project.  We will learn how to use Make functions\, automatically generate dependencies\, and inquire the operating system about available packages and libraries.  Also\, we will briefly review alternative build dependency managers. At the end of the workshop you will be able to understand and write Makefiles for managing dependencies in complex software projects.  \nParticipants will need to have laptops with WiFi connection if they wish to follow the hands-on exercises.  A basic knowledge of Unix-like operating systems would be helpful in following and understanding the material\, but is not required.
URL:https://micde.umich.edu/event/building-software-projects-with-make-beyond-basics/
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:20200228T130000
DTEND;TZID=America/Detroit:20200228T160000
DTSTAMP:20260607T115650
CREATED:20230905T171341Z
LAST-MODIFIED:20230905T171341Z
UID:10000348-1582894800-1582905600@micde.umich.edu
SUMMARY:R III: Modeling
DESCRIPTION:This workshop will be heavy on conceptual understanding of basic regression modeling\, but with demonstration of activities both essential and tangential to good modeling practice. GLM\, model interpretation\, model comparison\, model debugging\, model criticism and more will be covered.\n\n\nPrereq: Some experience using R is required (R I\, preferably R II workshops)\, as well as exposure to basic statistical analysis would be beneficial.\n\n\nContent: http://m-clark.github.io/data-processing-and-visualization/
URL:https://micde.umich.edu/event/r-iii-modeling/
CATEGORIES:Workshops
END:VEVENT
END:VCALENDAR