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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230223T163000
DTEND;TZID=America/Detroit:20230223T170000
DTSTAMP:20230809T190922Z
CREATED:20230123T090003Z
LAST-MODIFIED:20230809T190922Z
UID:10000591-1677169800-1677171600@micde.umich.edu
SUMMARY:PhD Seminar: Shirlyn Wang
DESCRIPTION:The Ph.D. in Scientific Computing program is intended for students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their doctoral studies. This seminar series showcases the breadth of research covered by the program.  \nFeatured Speaker:\nShirlyn Wang\, PhD Candidate\, Applied & Interdisciplinary Mathematics and Scientific Computing\nShirlyn Wang is a Ph.D candidate in Applied and Interdisciplinary Mathematics. Her research interest is in mathematical oncology\, the study of cancer initiation\, progression\, and therapy through data-driven mathematical models and simulations.  \nModeling CTL-mediated Tumor Cell Death Mechanisms and the Activity of Immune Checkpoints in Immunotherapy\nImmunotherapy has dramatically transformed the cancer treatment landscape. Of the variety of types of immunotherapies available\, immune checkpoint inhibitors (ICIs)\, which block inhibitory signals from tumor cells and reinvigorate killing activities of immune cells\, have gained the spotlight. Although ICIs have shown promising results for some patients\, the low response rates in many cancers highlight the challenges of using immune checkpoint blockade as an effective treatment. Cytotoxic T lymphocytes (CTLs) execute their cell-killing function via two distinct mechanisms. The first process is fast-acting and perforin/granzyme-mediated\, and the second is a slower\, Fas ligand (FasL)-driven killing mechanism. There is also evidence suggesting that the preferred killing mechanism by CTLs depends on the antigenicity of tumor cells. To determine the key factors affecting responses to checkpoint blockade therapy\, we constructed an ordinary differential equation model describing in vivo tumor-immune dynamics in the presence of active or blocked PD-1/PDL1 immune checkpoint. Specifically\, we analyzed which aspects of the tumor-immune landscape affect the response to ICIs with endpoints of tumor size and composition in the short and long term. By generating a virtual cohort with heterogeneous tumor and immune attributes\, we also simulated the therapeutic outcomes of immune checkpoint blockade in a largely diverse population. In this way\, we identified key tumor and immune characteristics that are associated with tumor elimination\, dormancy and escape. This talk will also shed light on which fraction of a population potentially responds well to ICIs and ways to enhance therapeutic outcomes with combination therapy. \n\n  \nThis event is part of MICDE’s seminar series featuring Ph.D. students in the Scientific Computing program. This series is open to all. University of Michigan faculty and students interested in computational and data sciences are encouraged to attend. \nQuestions? Email MICDE-events@umich.edu \n 
URL:https://micde.umich.edu/event/phd-seminar-shirlyn-wang/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE PhD Seminar Series,Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230223T160000
DTEND;TZID=America/Detroit:20230223T163000
DTSTAMP:20230809T191036Z
CREATED:20230123T090003Z
LAST-MODIFIED:20230809T191036Z
UID:10000599-1677168000-1677169800@micde.umich.edu
SUMMARY:PhD Seminar: Pei-Hsun Huang
DESCRIPTION:The Ph.D. in Scientific Computing program is intended for students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their doctoral studies. This seminar series showcases the breadth of research covered by the program.  \nFeatured Speaker:\nPei-Hsun Huang\, PhD Candidate\, Nuclear Engineering & Radiological Sciences and Scientific Computing\nPei-Hsun is a PhD student in Nuclear Engineering & Radiological Sciences working with Professor Annalisa Manera in the Experimental and Computational Multiphase Flow Laboratory. His project involves high-temperature two-phase heat pipe technologies. \nSimulation for the Design of Sodium Heat Pipes Bundle Test Facility for the Application of Microreactors\nThe 20 MW Special Purpose Reactor (SPR) is a heat pipe cooled microreactor that designed for electricity production in remote locations where reliable power grids are not always available. The key to SPR is the alkali metal heat pipes\, which offer entirely passive operation capacity with high mobility. Prior to deployment\, safety analysis with postulated accident scenarios is required for the licensing of SPR. To this regard\, a sufficiently accurate model is crucial to predict the behavior of heat pipes\, and high-resolution data is needed for the safety analysis of SPR. However\, the current existing heat pipe models are either oversimplified or unpractical expensive in view of the difficulty of the simulation with the wick structure and two-phase flow in the heat pipe. Therefore\, high fidelity experimental data is required for model verification in the high temperature heat pipe bundle system. The Michigan Sodium Heat Pipe bundle test facility which serves as a scale-down test facility using ten sodium heat pipes with a triangular array\, was utilized to verify the model for the licensing of SPR. In the talk\, the feasibility analysis using Computer Aided Engineering and Computational Fluid Dynamics for the design of the test facility was addressed. \n\n  \nThis event is part of MICDE’s seminar series featuring Ph.D. students in the Scientific Computing program. This series is open to all. University of Michigan faculty and students interested in computational and data sciences are encouraged to attend. \nQuestions? Email MICDE-events@umich.edu \n 
URL:https://micde.umich.edu/event/phd-seminar-pei-hsun-huang-2/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE PhD Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2023/02/2023-Winter-Huang.png
GEO:42.2807892;-83.7381556
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230127T100000
DTEND;TZID=America/Detroit:20230127T113000
DTSTAMP:20230217T195921Z
CREATED:20230112T150614Z
LAST-MODIFIED:20230217T195921Z
UID:10000592-1674813600-1674819000@micde.umich.edu
SUMMARY:Matching with R
DESCRIPTION:Audience: Researchers who are use or are interested in using matching. Taught in R (familiarity is assumed) but concepts transfer to other software.\n\nAn introduction to matching\, such as propensity score matching\, using R’s “optmatch” package. We will discuss the theory behind matching and propensity scores\, followed by examples using R to perform the matching and judging the match quality\, as well as speeding up the matching operation.r
URL:https://micde.umich.edu/event/matching-with-r/
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:20220818T090000
DTEND;TZID=America/Detroit:20220818T110000
DTSTAMP:20230217T195843Z
CREATED:20220722T155422Z
LAST-MODIFIED:20230217T195843Z
UID:10000575-1660813200-1660820400@micde.umich.edu
SUMMARY:Introduction to Julia for Statisticians and Data Scientists Day #3
DESCRIPTION:This three-part workshop will give an overview of the Julia language for conducting data analyses and managing data. The workshop assumes no prior experience with Julia\, but participants should have prior programming experience with a language such as Python\, R\, or Matlab. The format of the workshop is lecture/discussion but participants may bring a laptop if they wish to have a hands-on experience. The instructor will be using Julia on greatlakes for demonstration so it is advisable (but not essential) for participants to have a greatlakes account. \nDay 1: Introduction to the language and tools\, managing data with dataframes\, producing simple graphs \nDay 2: Basic regression analysis using generalized linear models \nDay 3: Intermediate regression analyses using GEE\, mixed models\, and survival analysis
URL:https://micde.umich.edu/event/introduction-to-julia-for-statisticians-and-data-scientists-day-3/
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:20220816T090000
DTEND;TZID=America/Detroit:20220816T110000
DTSTAMP:20230217T195842Z
CREATED:20220722T155000Z
LAST-MODIFIED:20230217T195842Z
UID:10000574-1660640400-1660647600@micde.umich.edu
SUMMARY:Introduction to Julia for Statisticians and Data Scientists Day #2
DESCRIPTION:This three-part workshop will give an overview of the Julia language for conducting data analyses and managing data. The workshop assumes no prior experience with Julia\, but participants should have prior programming experience with a language such as Python\, R\, or Matlab. The format of the workshop is lecture/discussion but participants may bring a laptop if they wish to have a hands-on experience. The instructor will be using Julia on greatlakes for demonstration so it is advisable (but not essential) for participants to have a greatlakes account. \nDay 1: Introduction to the language and tools\, managing data with dataframes\, producing simple graphs \nDay 2: Basic regression analysis using generalized linear models \nDay 3: Intermediate regression analyses using GEE\, mixed models\, and survival analysis
URL:https://micde.umich.edu/event/introduction-to-julia-for-statisticians-and-data-scientists-day-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:20220815T090000
DTEND;TZID=America/Detroit:20220815T110000
DTSTAMP:20230217T195842Z
CREATED:20220722T153813Z
LAST-MODIFIED:20230217T195842Z
UID:10000573-1660554000-1660561200@micde.umich.edu
SUMMARY:Introduction to Julia for Statisticians and Data Scientists - Day 1
DESCRIPTION:This three-part workshop will give an overview of the Julia language for conducting data analyses and managing data. The workshop assumes no prior experience with Julia\, but participants should have prior programming experience with a language such as Python\, R\, or Matlab. The format of the workshop is lecture/discussion but participants may bring a laptop if they wish to have a hands-on experience. The instructor will be using Julia on greatlakes for demonstration so it is advisable (but not essential) for participants to have a greatlakes account. \nDay 1: Introduction to the language and tools\, managing data with dataframes\, producing simple graphs \nDay 2: Basic regression analysis using generalized linear models \nDay 3: Intermediate regression analyses using GEE\, mixed models\, and survival analysis
URL:https://micde.umich.edu/event/introduction-to-julia-for-statisticians-and-data-scientists-day-1/
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:20200325T100000
DTEND;TZID=America/Detroit:20200325T120000
DTSTAMP:20230905T171343Z
CREATED:20230905T171343Z
LAST-MODIFIED:20230905T171343Z
UID:10000344-1585130400-1585137600@micde.umich.edu
SUMMARY:Building software projects: CMake is more than a build tool
DESCRIPTION:This workshop is a continuation of the previous workshop “Building software projects: use CMake to build the building plan”.  In this workshop\, we will see that CMake is not just a fancy Makefile generator: it can help us to test\, reuse\, and distribute our software!  We will use CMake to build two interdependent multi-language projects\, and demonstrate how to invoke unit tests after the build\, how to make our code discoverable and reusable by other software developers\, and how to create a distributable package.  If you intend to distribute your software to other research groups\, or if you expect that your project will grow beyond a few files of code and a few months of use — this workshop is for you! \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-cmake-is-more-than-a-build-tool/
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:20200323T150000
DTEND;TZID=America/Detroit:20200323T170000
DTSTAMP:20230905T171343Z
CREATED:20230905T171343Z
LAST-MODIFIED:20230905T171343Z
UID:10000339-1584975600-1584982800@micde.umich.edu
SUMMARY:Go for data processing Part 2
DESCRIPTION:This is a two-session workshop on the use of Go for data processing.  Go is an open source language developed for general-purpose programming.  It is not more difficult to learn and use than a high-level scripting language like Python\, but it is strongly typed\, statically compiled\, and provides native support for concurrency\, leading to much better performance for many common tasks.  In this series of workshops\, we introduce Go as a tool for data processing. No prior exposure to Go is expected\, but participants should have some programming background. Free and open source tools for Go are available for all common platforms.   \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/go-for-data-processing-part-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:20200316T150000
DTEND;TZID=America/Detroit:20200316T170000
DTSTAMP:20230905T171343Z
CREATED:20230905T171343Z
LAST-MODIFIED:20230905T171343Z
UID:10000338-1584370800-1584378000@micde.umich.edu
SUMMARY:Go for data processing Part 1
DESCRIPTION:This is a two-session workshop on the use of Go for data processing.  Go is an open source language developed for general-purpose programming.  It is not more difficult to learn and use than a high-level scripting language like Python\, but it is strongly typed\, statically compiled\, and provides native support for concurrency\, leading to much better performance for many common tasks.  In this series of workshops\, we introduce Go as a tool for data processing. No prior exposure to Go is expected\, but participants should have some programming background. Free and open source tools for Go are available for all common platforms.   \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/go-for-data-processing-part-1/
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:20200309T150000
DTEND;TZID=America/Detroit:20200309T170000
DTSTAMP:20230905T171343Z
CREATED:20230905T171343Z
LAST-MODIFIED:20230905T171343Z
UID:10000337-1583766000-1583773200@micde.umich.edu
SUMMARY:Survival analysis in Python
DESCRIPTION:Survival analysis is used when working with data that may be censored\, as often is the case in studies of human subjects with incomplete follow-up.  The presence of censoring makes most forms of regression and other standard statistical analyses inappropriate. A body of specialized techniques for analyzing this type of data has been developed\, including methods for estimating and comparing marginal survival functions\, and regression methods including the widely-utilized Cox proportional hazards model.  This workshop will briefly review the key principles of survival analysis\, then illustrate by example how various survival analysis methods can be carried out using Python with the Statsmodels package.  \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/survival-analysis-in-python-3/
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:20200305T140000
DTEND;TZID=America/Detroit:20200305T170000
DTSTAMP:20230905T171341Z
CREATED:20230905T171341Z
LAST-MODIFIED:20230905T171341Z
UID:10000350-1583416800-1583427600@micde.umich.edu
SUMMARY:Visualization of spatial data
DESCRIPTION:This workshop will cover basic concepts and tools available in QGIS and R for visualizing spatial data. We will cover vector data but will also touch upon the visualization of raster and spatial network data. \nParticipants should have some familiarity with R\, but exposure to QGIS is not required.
URL:https://micde.umich.edu/event/visualization-of-spatial-data/
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:20230905T171341Z
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:20200224T150000
DTEND;TZID=America/Detroit:20200224T170000
DTSTAMP:20230905T171342Z
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:20200217T150000
DTEND;TZID=America/Detroit:20200217T170000
DTSTAMP:20230905T171342Z
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:20200212T100000
DTEND;TZID=America/Detroit:20200212T120000
DTSTAMP:20230905T171342Z
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:20200210T153000
DTEND;TZID=America/Detroit:20200210T170000
DTSTAMP:20230905T171340Z
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:20200203T130000
DTEND;TZID=America/Detroit:20200203T160000
DTSTAMP:20230905T171340Z
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
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:20200127T153000
DTEND;TZID=America/Detroit:20200127T170000
DTSTAMP:20230905T171341Z
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
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:20200120T153000
DTEND;TZID=America/Detroit:20200120T170000
DTSTAMP:20230905T171339Z
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:20230905T171339Z
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
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20191115T140000
DTEND;TZID=America/Detroit:20191115T150000
DTSTAMP:20230905T171337Z
CREATED:20230905T171337Z
LAST-MODIFIED:20230905T171337Z
UID:10000271-1573826400-1573830000@micde.umich.edu
SUMMARY:Stata 16 New Data Management Features
DESCRIPTION:Audience: Stata users familiar with data management who want an overview of the new data management features introduced in Stata 16.\n\nWe’ll cover the two main data management features introduced in Stata 16.\n\n1) Frames – holding multiple data sets in memory simultaneously.\n2) Variable lists – formalizing creation and storage of lists of variables.
URL:https://micde.umich.edu/event/stata-16-new-data-management-features-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:20191113T100000
DTEND;TZID=America/Detroit:20191113T120000
DTSTAMP:20230905T171337Z
CREATED:20230905T171337Z
LAST-MODIFIED:20230905T171337Z
UID:10000285-1573639200-1573646400@micde.umich.edu
SUMMARY:Improving the Performance of Scientific Software
DESCRIPTION:This is a continuation of the workshop “Introduction to performance analysis of scientific software”.  Now\, we know how to measure overall performance of our software and can make a good guess of the main performance bottleneck.  How can we improve the performance? Do we really need to rewrite the whole program in a different language? In this workshop\, we will observe and discuss various methods of performance improvement\, such as using optimized libraries\, multi-language development\, and choosing appropriate algorithms.  In the end\, you will know how to leverage the power of better algorithms and closer-to-metal languages to improve the performance of your software without a total rewrite or hardware upgrades. \n  \nRequirements:  It is recommended to attend “Introduction to performance analysis of scientific software” workshop prior to this one.  If you wish to follow hands-on demonstrations\, you will need to bring your own laptop and have a UMich account.
URL:https://micde.umich.edu/event/improving-the-performance-of-scientific-software/
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:20191112T150000
DTEND;TZID=America/Detroit:20191112T170000
DTSTAMP:20230905T171337Z
CREATED:20230905T171337Z
LAST-MODIFIED:20230905T171337Z
UID:10000264-1573570800-1573578000@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 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 an in-depth workshop with the intention to have its participants program code alongside the presentation\, but meant to introduce available options for them to consider and to answer questions on the topic. Separate “hands-on” workshops will be provided later in the academic year based on audience feedback.
URL:https://micde.umich.edu/event/android-application-development-an-overview-3/
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:20191023T100000
DTEND;TZID=America/Detroit:20191023T120000
DTSTAMP:20230905T171336Z
CREATED:20230905T171336Z
LAST-MODIFIED:20230905T171336Z
UID:10000284-1571824800-1571832000@micde.umich.edu
SUMMARY:Introduction to Performance Analysis of Scientific Software
DESCRIPTION:We all had this: “My program is too slow”. We all have heard: “Use Fortran and C++\, they are fast.”  But will it really help? We all have heard also: “Don’t bother\, use Python and R on a better computer”\, and “HPC clusters are fast”.  But what does “better” and “fast” even mean? In this workshop\, we will observe\, measure and discuss performance behavior of various scientific workloads\, and learn about typical performance classes and basic performance measuring methodology.  In the end\, you will be able to classify your expected workload and make an educated guess whether changing the programming language\, upgrading the computer\, or applying for cluster computing time would likely be advantageous. \n  \nRequirements: If you wish to follow hands-on demonstrations\, you will need to bring your own laptop and have a UMich account.
URL:https://micde.umich.edu/event/introduction-to-performance-analysis-of-scientific-software/
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:20191016T133000
DTEND;TZID=America/Detroit:20191016T163000
DTSTAMP:20230905T171337Z
CREATED:20230905T171337Z
LAST-MODIFIED:20230905T171337Z
UID:10000283-1571232600-1571243400@micde.umich.edu
SUMMARY:Geometric Network Analysis
DESCRIPTION:This workshop will cover GIS concepts and techniques for analyzing geometric networks embedded in geographical space. We will mainly focus on road network\, but the ideas and techniques apply to similar network such as the water and electricity distribution networks and gas pipelines. We will use open source tools in R and QGIS. \nYou should know the introductory concepts and tools in GIS and should be familiar with R. Familiarity with QGIS is not required.
URL:https://micde.umich.edu/event/geometric-network-analysis/
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:20190930T130000
DTEND;TZID=America/Detroit:20190930T160000
DTSTAMP:20230905T171405Z
CREATED:20230905T171405Z
LAST-MODIFIED:20230905T171405Z
UID:10000265-1569848400-1569859200@micde.umich.edu
SUMMARY:Data Visualization With 3D Graphics Using Unity3D and C#
DESCRIPTION:Video game development is more accessible than ever before thanks to modern software tools\, with many options free to download. These tools are also used to program more “serious” applications that require interactive 3D graphics\, from mobile apps\, virtual and augmented reality\, computer vision and artificial intelligence\, and real-time CGI film production.  \n  \nUnity3D is a powerful and popular game engine for both hobbyist and professional projects\, able to compile a ‘game’ to almost any computer platform\, and free to download for non-commercial use. This workshop will show how you can use it to render data from research projects in a 3D interactive representation for user analysis and demonstration. \n  \nIn this workshop\, we introduce the Unity3D workspace\, and prepare a demo that allows the user to load an example dataset and view it as a simple set of 3D representations. A basic familiarity with computer programming (C# will be used during the session) is recommended to get the most out of the workshop. To take part\, users will be responsible to bring their own laptop with Unity3D (available for Windows\, Macintosh and Linux) pre-installed. Additional project files will be provided to registered users ahead of the workshop date.
URL:https://micde.umich.edu/event/data-visualization-with-3d-graphics-using-unity3d-and-c/
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:20190927T140000
DTEND;TZID=America/Detroit:20190927T160000
DTSTAMP:20230905T171405Z
CREATED:20230905T171405Z
LAST-MODIFIED:20230905T171405Z
UID:10000269-1569592800-1569600000@micde.umich.edu
SUMMARY:Stata 16 New Data Management Features
DESCRIPTION:Audience: Stata users familiar with data management who want an overview of the new data management features introduced in Stata 16.\n\nWe’ll cover the two main data management features introduced in Stata 16.\n\n1) Frames – holding multiple data sets in memory simultaneously.\n2) Variable lists – formalizing creation and storage of lists of variables.
URL:https://micde.umich.edu/event/stata-16-new-data-management-features/
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:20190926T133000
DTEND;TZID=America/Detroit:20190926T163000
DTSTAMP:20230905T171405Z
CREATED:20230905T171405Z
LAST-MODIFIED:20230905T171405Z
UID:10000282-1569504600-1569515400@micde.umich.edu
SUMMARY:Open Source GIS
DESCRIPTION:This workshop will provide a gentle introduction to open source GIS tools in R and QGIS. We will cover introductory GIS concepts and will explore the functionalities of R and QGIS for manipulating and analyzing vector GIS data. Familiarity with R is required.
URL:https://micde.umich.edu/event/open-source-gis-3/
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:20190812T130000
DTEND;TZID=America/Detroit:20190812T160000
DTSTAMP:20230905T171403Z
CREATED:20230905T171403Z
LAST-MODIFIED:20230905T171403Z
UID:10000232-1565614800-1565625600@micde.umich.edu
SUMMARY:Android Application Development: An Introduction to Android Studio
DESCRIPTION:Mobile app development is one of the biggest new industries of the last decade. If you are developing an app in Android 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-an-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
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:20190806T130000
DTEND;TZID=America/Detroit:20190806T150000
DTSTAMP:20230905T171403Z
CREATED:20230905T171403Z
LAST-MODIFIED:20230905T171403Z
UID:10000231-1565096400-1565103600@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 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 them to consider and to answer questions on the topic. Separate “hands-on” workshops will be provided later in the academic year based on audience feedback.
URL:https://micde.umich.edu/event/android-application-development-an-overview-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
END:VCALENDAR