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X-WR-CALNAME:Michigan Institute for Computational Discovery and Engineering
X-ORIGINAL-URL:https://micde.umich.edu
X-WR-CALDESC:Events for Michigan Institute for Computational Discovery and Engineering
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200214T130000
DTEND;TZID=America/Detroit:20200214T160000
DTSTAMP:20260604T062532
CREATED:20230905T171342Z
LAST-MODIFIED:20230905T171342Z
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:20200212T100000
DTEND;TZID=America/Detroit:20200212T120000
DTSTAMP:20260604T062532
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:20200211T100000
DTEND;TZID=America/Detroit:20200211T140000
DTSTAMP:20260604T062532
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:20200210T153000
DTEND;TZID=America/Detroit:20200210T170000
DTSTAMP:20260604T062532
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
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:20200206T140000
DTEND;TZID=America/Detroit:20200206T160000
DTSTAMP:20260604T062532
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:20200203T150000
DTEND;TZID=America/Detroit:20200203T170000
DTSTAMP:20260604T062532
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:20200130T140000
DTEND;TZID=America/Detroit:20200130T160000
DTSTAMP:20260604T062532
CREATED:20230905T171340Z
LAST-MODIFIED:20230905T171340Z
UID:10000320-1580392800-1580400000@micde.umich.edu
SUMMARY:R by Example: Analyzing RECS using tidyverse
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 tidyverse” 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 tidyverse (tidyverse.org) throughout\, relying on the dplyr 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 dplyr functions\, pivoting using tidyr\, and a basic ggplot2 example.  This workshop is geared towards beginner to intermediate R users.
URL:https://micde.umich.edu/event/r-by-example-analyzing-recs-using-tidyverse/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200127T153000
DTEND;TZID=America/Detroit:20200127T170000
DTSTAMP:20260604T062532
CREATED:20230905T171341Z
LAST-MODIFIED:20230905T171341Z
UID:10000330-1580139000-1580144400@micde.umich.edu
SUMMARY:Linear regression analysis in Python
DESCRIPTION:This workshop will cover regression analysis using linear models and least squares in Python.  We will discuss the goals and main use-cases for linear regression\, and how to interpret a fitted linear model.  We will then discuss methods for fitting more complex models with larger data sets\, including the use of interactions\, dummy-coding of categorical variables\, and splines.  Finally we will discuss some aspects of statistical inference and model selection for linear regression. Several case studies using open-access data sets will be used to illustrate the approaches.   \nParticipants should bring a laptop if they want to work with the examples during the presentation\, but this is optional.
URL:https://micde.umich.edu/event/linear-regression-analysis-in-python-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:20200123T140000
DTEND;TZID=America/Detroit:20200123T170000
DTSTAMP:20260604T062532
CREATED:20230905T171339Z
LAST-MODIFIED:20230905T171339Z
UID:10000326-1579788000-1579798800@micde.umich.edu
SUMMARY:R I: Data Wrangling
DESCRIPTION:This workshop will delve into common data processing and exploration techniques using R.  The main focus will be on constructing and manipulating R data objects\, and using packages that enhance and facilitate operations that typically arise when dealing with data\, including faster I/O\, variable creation and manipulation\, and grouped operations\, especially as a prelude to visualization.\n\nLink: https://m-clark.github.io/data-processing-and-visualization/
URL:https://micde.umich.edu/event/r-i-data-wrangling/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200121T090000
DTEND;TZID=America/Detroit:20200121T170000
DTSTAMP:20260604T062532
CREATED:20230905T171339Z
LAST-MODIFIED:20230905T171339Z
UID:10000318-1579597200-1579626000@micde.umich.edu
SUMMARY:Introduction to SPSS
DESCRIPTION:Audience: Never before SPSS users who will be using SPSS for Windows.  Those using SPSS for Unix or Macintosh should email the instructor at cpow@umich.edu before enrolling. \nFundamentals \nThis portion introduces SPSS for Windows\, the menu and the help systems\, the three main types of files used\, and printing from within SPSS.  It then addresses defining variables\, attaching labels\, defining missing values\, and various ways to enter data into SPSS.  Finally\, it covers a brief introduction to obtaining frequency distributions\, descriptive statistics\, and cross tabulations of variables. \nWithin-Case Transformations \nThis portion introduces data management capabilities\, including recoding variables (manual and automatic)\, computing new variables using formulas\, and counting occurrences of values within subjects.  Attention then turns to temporary transformations\, conditional processing of transformations\, and repetitive transformations.  SPSS syntax is also introduced. \nData Management with Multiple Files \nThis portion begins with a discussion of subsetting data files by drawing samples\, selecting groups and excluding groups from analysis.  Then\, the two main methods of merging SPSS data files are covered: adding additional variables and adding additional cases.  Next\, creating aggregated data sets and applying aggregated data to individuals is covered.  Lastly\, importing and exporting data between SPSS and other statistical programs (Excel\, dBase\, SAS) is demonstrated. \nBasic Statistics and Graphics\nThis portion covers basic exploratory procedures\, including obtaining percentiles\, frequencies\, descriptive statistics\, and cross tabulations. Basic comparative procedures including two-sample t-tests\, paired t-tests\, and one-way analysis of variance are also covered.  Then\, simple bivariate correlation analysis is introduced.  Participants are given a basic introduction to commonly used graphical procedures for displaying data\, including scatter plots\, bar graphs\, histograms\, and boxplots.
URL:https://micde.umich.edu/event/introduction-to-spss-3/
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200120T153000
DTEND;TZID=America/Detroit:20200120T170000
DTSTAMP:20260604T062532
CREATED:20230905T171339Z
LAST-MODIFIED:20230905T171339Z
UID:10000329-1579534200-1579539600@micde.umich.edu
SUMMARY:Introduction to Julia
DESCRIPTION:This workshop will introduce the Julia programming language\, with a focus on using Julia for data analysis.  No prior exposure to Julia is needed.  \nWe will discuss some aspects of the core language\, cover some basic techniques for data manipulation\, and fit a model using linear regression.
URL:https://micde.umich.edu/event/introduction-to-julia/
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:20200116T120000
DTEND;TZID=America/Detroit:20200116T150000
DTSTAMP:20260604T062532
CREATED:20230905T171339Z
LAST-MODIFIED:20230905T171339Z
UID:10000319-1579176000-1579186800@micde.umich.edu
SUMMARY:Open Source GIS
DESCRIPTION:This workshop will provide a fast paced introduction to georeferenced vector data analysis. We will explore the power and functionalities of QGIS and R for reading\, manipulating\, and analyzing vector GIS data. Participants will also learn to generate production quality maps. Some exposure to R will he helpful but is not required.
URL:https://micde.umich.edu/event/open-source-gis-4/
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
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