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X-ORIGINAL-URL:https://micde.umich.edu
X-WR-CALDESC:Events for Michigan Institute for Computational Discovery and Engineering
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DTSTART:20170312T070000
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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20200206T140000
DTEND;TZID=America/Detroit:20200206T160000
DTSTAMP:20230905T171340Z
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:20200130T140000
DTEND;TZID=America/Detroit:20200130T160000
DTSTAMP:20230905T171340Z
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:20200123T140000
DTEND;TZID=America/Detroit:20200123T170000
DTSTAMP:20230905T171339Z
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:20190926T130000
DTEND;TZID=America/Detroit:20190926T160000
DTSTAMP:20230905T171404Z
CREATED:20230905T171404Z
LAST-MODIFIED:20230905T171404Z
UID:10000277-1569502800-1569513600@micde.umich.edu
SUMMARY:Introduction to the Linux Command Line
DESCRIPTION:This course will familiarize the student with the basics of accessing and interacting with Linux computers using the GNU/Linux operating system’s Bash shell\, also generically referred to as “the command line”. Topics include: a brief overview of Linux\, the Bash shell\, navigating the file system\, basic commands\, shell redirection\, permissions\, processes\, and the command environment. The workshop will also provide a quick introduction to nano a simple text editor that will be used in subsequent workshops to edit files. \n  \nInstructor\nKenneth Weiss\nIT Project Senior Manager\nMedical School Information Services (MSIS) \nKen is a High Performance Computing Consultant in the Computational Research Consulting Division of MSIS at the University of Michigan. He works with a team of IT specialists to provide high performance computing support and training for the Medical School. Prior to this\, he spent 21 years managing research computing\, including an HPC cluster\, for Dr. Charles Sing in the Human Genetics Department. \nMaterials\n\nLecture Notes (updated Sept. 21\, 2017)\nReference text: William E Shotts\, Jr.\, “The Linux Command Line: A Complete Introduction\,” No Starch Press\, January 2012 .http://linuxcommand.org/tlcl.php\nDownload Creative Commons Licensed version at http://downloads.sourceforge.net/project/linuxcommand/TLCL/13.07/TLCL-13.07.pdf\n\n\nCourse Preparation\nYou must register at least three full days prior to the event so that we have time to insure you have proper UM credentials for the workshop. This allows enough time for you to get your account adjusted by ITS in case you do not have access to the Linux systems.
URL:https://micde.umich.edu/event/introduction-to-the-linux-command-line-8-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:High Performance Computing,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190920T150000
DTEND;TZID=America/Detroit:20190920T163000
DTSTAMP:20230905T171403Z
CREATED:20230905T171403Z
LAST-MODIFIED:20230905T171403Z
UID:10000272-1568991600-1568997000@micde.umich.edu
SUMMARY:Data management in R with data.table
DESCRIPTION:Matt Dowle\, author of the data.table package\, describes it as\, “provid[ing] a high-performance version of base R’s data.frame with syntax and feature enhancements for ease of use\, convenience and programming speed.” In this workshop I will first introduce the data.table syntax using generic SQL and the dplyr R package as reference points.  Topics to be discussed include subsetting\, aggregating\, and merging data frames.  I will then discuss updating by reference and its role in efficiently working with large data sets.  Other advanced uses of the powerful data.table syntax will be covered as time permits. \nIf you have questions about this workshop\, please send an email to jbhender@umich.edu
URL:https://micde.umich.edu/event/data-management-in-r-with-data-table-3/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190829T130000
DTEND;TZID=America/Detroit:20190829T160000
DTSTAMP:20230905T171402Z
CREATED:20230905T171402Z
LAST-MODIFIED:20230905T171402Z
UID:10000259-1567083600-1567094400@micde.umich.edu
SUMMARY:Research Computing on the Great Lakes cluster
DESCRIPTION:This workshop will provide a brief overview of the the new HPC environment and is intended for current Flux and Armis users.  We will use the temporary Beta HPC cluster to demonstrate how jobs will be submitted and managed under the new Great Lakes\, Armis2\, and Lighthouse clusters available later this year. \nThere are many differences between the familiar Flux environment and that of the new HPC clusters\, including a new batch scheduling system\, a new interactive batch job environment\, a new HPC web portal\, a new module environment\, and a new on-demand-only job accounting system. \nWe will cover these differences in the workshop\, and provide hands-on training in creating and running job submission scripts in the new HPC environment.  Students are expected to be conversant with the Linux command line and have experience in creating\, submitting\, and troubleshooting PBS batch scripts.
URL:https://micde.umich.edu/event/sliding-into-slurm-an-early-look-at-u-ms-new-high-performance-computing-environment-5/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180622T130000
DTEND;TZID=America/Detroit:20180622T163000
DTSTAMP:20230905T171420Z
CREATED:20230905T171420Z
LAST-MODIFIED:20230905T171420Z
UID:10000142-1529672400-1529685000@micde.umich.edu
SUMMARY:Spatial point process models
DESCRIPTION:This is the first workshop in a series of three workshops that will cover spatial modeling of three broad classes of data: (i) spatial point pattern\, (ii) discrete spatial variation on areal units\, and (iii) continuous spatial variation. \nSpatial point (and marked point) process models help us analyze the geometrical pattern of points in space and find application in a variety of fields including image processing\, public health\, forestry\, ecology\, and business. This workshop will provide an introduction to the point process model focusing on the conceptual aspects and implementation in R.
URL:https://micde.umich.edu/event/spatial-point-process-models/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180531T090000
DTEND;TZID=America/Detroit:20180531T163000
DTSTAMP:20230905T171420Z
CREATED:20230905T171420Z
LAST-MODIFIED:20230905T171420Z
UID:10000075-1527757200-1527784200@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. \nNote: Topic order is subject to change.  Participants must sign up for the entire series. \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. \nRegistration\nTo register for CSCAR Workshops\, call the CSCAR front desk at (734) 764-7828 or come to the office in person with cash or check or a UM department shortcode: \nOFFICE HOURS\n9:00 a.m. – 5:00 p.m.\, Monday through Friday\nClosed 12pm – 1:00 p.m. every Tuesday for staff meeting.\nVoice: (734) 764-7828 (4-STAT from a campus phone)\nFax: (734) 647-2440 \nADDRESS\nCenter for Statistical Consultation and Research (CSCAR)\nThe University of Michigan\n3550 Rackham\n915 E. Washington St.\nAnn Arbor\, MI 48109-1070 \n 
URL:https://micde.umich.edu/event/introduction-to-spss-2-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180524T140000
DTEND;TZID=America/Detroit:20180524T170000
DTSTAMP:20230905T171420Z
CREATED:20230905T171420Z
LAST-MODIFIED:20230905T171420Z
UID:10000143-1527170400-1527181200@micde.umich.edu
SUMMARY:Geospatial analysis with Google Earth Engine
DESCRIPTION:Google Earth Engine (GEE) combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities. This workshop will provide an introduction to GEE. We will cover data models in GEE\, basic vector and raster operations\, and classification in both feature and image space. \nYou should be familiar with vector and raster data\, GIS and remote sensing. We will use the web-based IDE for the Earth Engine JavaScript API. You will need to register (free) at signup.earthengine.google.com with Google to use the Earth Engine.
URL:https://micde.umich.edu/event/geospatial-analysis-with-google-earth-engine/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180516T140000
DTEND;TZID=America/Detroit:20180516T160000
DTSTAMP:20230905T171420Z
CREATED:20230905T171420Z
LAST-MODIFIED:20230905T171420Z
UID:10000147-1526479200-1526486400@micde.umich.edu
SUMMARY:Intro to Natural Language Processing with Python
DESCRIPTION:This workshop will provide a quick overview of natural language processing using Python. We’ll cover the basics. Segmenting text into tokens\, assigning part-of-speech\, assigning dependency labels\, detecting and labeling named-entities. We’ll also cover sentiment analysis\, topic modelling and maybe some visualizations. The workshop will be conducted in Python and is intended for users with basic Python programming knowledge. Anaconda Python 3.5 and a Jupyter Notebook will be used.
URL:https://micde.umich.edu/event/intro-to-natural-language-processing-with-python/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180330T140000
DTEND;TZID=America/Detroit:20180330T163000
DTSTAMP:20230905T171419Z
CREATED:20230905T171419Z
LAST-MODIFIED:20230905T171419Z
UID:10000136-1522418400-1522427400@micde.umich.edu
SUMMARY:Parallel Processing with Python
DESCRIPTION:Modern computers have a CPU with multiple cores (usually between 4-8). Come learn how to take advantage of them to parallelize and speed up your code. We’ll show you how to structure your code so you can parallelize it in 5 lines or less. We will also cover some theory\, a few practical considerations along with some basic exercises. We’ll be using the multiprocessing module in Python. The workshop is intended for users with basic Python knowledge. The workshop assumes you know how to do the following in Python: i) write a for loop\, ii) write a function that has inputs and outputs.  Anaconda Python 3.5 will be used.
URL:https://micde.umich.edu/event/parallel-processing-with-python/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180320T140000
DTEND;TZID=America/Detroit:20180320T160000
DTSTAMP:20230905T171418Z
CREATED:20230905T171418Z
LAST-MODIFIED:20230905T171418Z
UID:10000132-1521554400-1521561600@micde.umich.edu
SUMMARY: Deep Neural Networks with TensorFlow: A Quick Start Introduction
DESCRIPTION:Deep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. TensorFlow is a popular software library that is often used to construct and train DNNs. In this workshop\, participants will learn how to quickly use the high-level TensorFlow Estimator module to perform nonlinear regression and classification with standard fully connected DNNs. We will also show how the Estimator module can be used to perform image classification using Convolutional Neural Networks (CNNs). All examples will use Python; some familiarity with Python is recommended. You are encouraged but not required to bring a laptop with TensorFlow already installed.
URL:https://micde.umich.edu/event/deep-neural-networks-with-tensorflow-a-quick-start-introduction/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180316T140000
DTEND;TZID=America/Detroit:20180316T163000
DTSTAMP:20230905T171418Z
CREATED:20230905T171418Z
LAST-MODIFIED:20230905T171418Z
UID:10000135-1521208800-1521217800@micde.umich.edu
SUMMARY:Intro to SQL
DESCRIPTION:Ever want to know how to communicate with a database? You need to know SQL\, a standard programming language for working with relational database management systems in data warehouses or just Microsoft Access. This workshop will cover the basic syntax of SQL. Material will focus mainly on how to query databases. A web-based tool will be used for the tutorial.
URL:https://micde.umich.edu/event/intro-to-sql-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180126T140000
DTEND;TZID=America/Detroit:20180126T170000
DTSTAMP:20230905T171417Z
CREATED:20230905T171417Z
LAST-MODIFIED:20230905T171417Z
UID:10000122-1516975200-1516986000@micde.umich.edu
SUMMARY:Introduction to MATLAB
DESCRIPTION:This workshop introduces participants to MATLAB. Topics include indexing and slicing of vectors and matrices\, creation of script M-files and functions\, control flow operators and basic 2D and 3D visualization. The workshop is targeted to participants with little to no knowledge of MATLAB and/or participants that would like to review basic MATLAB concepts.
URL:https://micde.umich.edu/event/introduction-to-matlab-4-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180119T140000
DTEND;TZID=America/Detroit:20180119T163000
DTSTAMP:20230905T171417Z
CREATED:20230905T171417Z
LAST-MODIFIED:20230905T171417Z
UID:10000124-1516370400-1516379400@micde.umich.edu
SUMMARY:Regular Expressions II
DESCRIPTION:Regular expressions are perfectly suited for people who like puzzles. Regular expressions are a sequence of characters used to define a search pattern. They are commonly used to do “find” and “find and replace” string operations. They are also used to validate strings like phone numbers\, passwords\, etc. in data entry. Regular expression capabilities can be found in a variety of programming languages and software like ArcGIS\, Java\, Javascript\, Matlab\, Perl\, PHP\, Python\, R\, Visual Basic\, etc. and some text editors. This workshop is part II of a two-part series and will cover more advanced topics like captured groups\, backreferences and assertions. The workshop will consist of hands-on example problems. Basic understanding of regular expressions is required. You should be able to understand expressions like “w{3\,}-d{1\,2}-d{4}“ and “des*ert?s?”. The tutorials will be conducted using Python. A basic programming background is helpful but not required for this workshop.
URL:https://micde.umich.edu/event/regular-expressions-ii/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Data Science,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20180118T090000
DTEND;TZID=America/Detroit:20180118T163000
DTSTAMP:20230905T171415Z
CREATED:20230905T171415Z
LAST-MODIFIED:20230905T171415Z
UID:10000032-1516266000-1516293000@micde.umich.edu
SUMMARY:SPSS I Introduction to SPSS
DESCRIPTION:Note: Topic order is subject to change. \nThis workshop is designed to introduce participants to SPSS. It will cover the fundamentals of SPSS\, within-case transformations\, data management with multiple files\, and basic statistics and graphics. Useful for any scholar engaged in quantitative research. \nFundamentals \nThis portion introduces SPSS\, the menu and the help systems\, and the three main types of files used.  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. \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. \nBasic Statistical Analysis \nThe portion includes a brief demonstration of a statistical analysis in SPSS. While not delving deep into statistical theory\, we will cover the basics of an analysis\, as well as discuss the graphing facilities in SPSS. \nRegistration\nTo register for CSCAR Workshops\, call the CSCAR front desk at (734) 764-7828 or come to the office in person with cash or check or a UM 6-digit department shortcode: \nOFFICE HOURS\n9:00 a.m. – 5:00 p.m.\, Monday through Friday\nClosed 12pm – 1:00 p.m. every Tuesday for staff meeting.\nVoice: (734) 764-7828 (4-STAT from a campus phone)\nFax: (734) 647-2440 \nADDRESS\nCenter for Statistical Consultation and Research (CSCAR)\nThe University of Michigan\n3550 Rackham\n915 E. Washington St.\nAnn Arbor\, MI 48109-1070 \n 
URL:https://micde.umich.edu/event/introduction-to-spss/
LOCATION:Modern Languages Building (MLB)\, Room 2001B
CATEGORIES:Workshops
END:VEVENT
END:VCALENDAR