BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Michigan Institute for Computational Discovery and Engineering - ECPv6.17.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
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
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Detroit
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20170312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20171105T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20180311T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20181104T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20190310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20191103T060000
END:STANDARD
END:VTIMEZONE
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