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DTSTART;TZID=America/Detroit:20190212T140000
DTEND;TZID=America/Detroit:20190212T160000
DTSTAMP:20260606T104515
CREATED:20230905T171358Z
LAST-MODIFIED:20230905T171358Z
UID:10000184-1549980000-1549987200@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/
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:20190212T093000
DTEND;TZID=America/Detroit:20190212T120000
DTSTAMP:20260606T104515
CREATED:20230905T171345Z
LAST-MODIFIED:20230905T171345Z
UID:10000204-1549963800-1549972800@micde.umich.edu
SUMMARY:Python for Data Analysis
DESCRIPTION:Learn data analysis with Python. We’ll be using pandas\, the go-to Python library used for data wrangling and analysis. We’ll be practicing with several different real-world datasets (e.g. time-series\, text) and learning how to read\, write\, clean\, transform\, merge and reshape data.  \nThe workshop is intended for users with basic Python knowledge. Anaconda Python 3.6 and a Jupyter Notebook will be used.
URL:https://micde.umich.edu/event/python-for-data-analysis-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190211T123000
DTEND;TZID=America/Detroit:20190211T153000
DTSTAMP:20260606T104515
CREATED:20230905T171356Z
LAST-MODIFIED:20230905T171356Z
UID:10000059-1549888200-1549899000@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-2-3-3/
LOCATION:East Hall B254\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:High Performance Computing,Workshops
ORGANIZER;CN="Advanced Research Computing":MAILTO:arc-contact@umich.edu
GEO:42.2757302;-83.7351764
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=East Hall B254 530 Church St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=530 Church St.:geo:-83.7351764,42.2757302
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190211T090000
DTEND;TZID=America/Detroit:20190211T120000
DTSTAMP:20260606T104515
CREATED:20230905T171356Z
LAST-MODIFIED:20230905T171356Z
UID:10000197-1549875600-1549886400@micde.umich.edu
SUMMARY:Advanced batch computing on the Flux cluster
DESCRIPTION:This course will cover some more advanced topics in cluster computing on the U-M Flux Cluster. Topics to be covered include a review of common parallel programming models and basic use of Flux; dependent and array scheduling; advanced troubleshooting and analysis using checkjob\, qstat\, and other tools; and parallel debugging and profiling of C and Fortran code\, including logging\, gdb (line-oriented debugging)\, ddt (GUI-based debugging) and map (GUI-based profiling) of MPI and OpenMP programs. We will issue you a temporary allocation to use for the course\, or you can use your existing Flux allocations\, if any. \nCourse Prerequisites:  Introduction to Batch Computing on Flux or equivalent. This course assumes familiarity with the Linux command line\, text editing on Linux\, and a basic understanding of Flux including how to submit and track jobs.
URL:https://micde.umich.edu/event/advanced-batch-computing-on-the-flux-cluster-7/
LOCATION:East Hall B254\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:High Performance Computing,Workshops
GEO:42.2757302;-83.7351764
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=East Hall B254 530 Church St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=530 Church St.:geo:-83.7351764,42.2757302
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190208T150000
DTEND;TZID=America/Detroit:20190208T160000
DTSTAMP:20260606T104515
CREATED:20230905T171357Z
LAST-MODIFIED:20230905T171357Z
UID:10000206-1549638000-1549641600@micde.umich.edu
SUMMARY:MICDE Seminar: David Nordsletten\, Associate Professor\, Department of Biomedical Engineering and Cardiac Surgery\, U-M
DESCRIPTION:Bio: Dr. Nordsletten joined the University of Michigan in January 2019 as an Associate Professor\, is a Reader in cardiovascular biomechanics at King’s College London\, and is the recipient of the EPSRC HTCA leadership fellowship. His research focuses on the novel application of biomechanics integrated with magnetic resonance imaging (MRI) for the advancement of human cardiovascular health. This broad focus encompasses a range of projects spanning from numerical methods development through to direct analysis of medical imaging data for diagnostics in cardiovascular disease. \nTRANSLATIONAL CARDIOVASCULAR BIOMECHANICS AND MAGNETIC RESONANCE IMAGING\nThe application of biomechanics in the heart and cardiovascular system has presented many opportunities to provide unique insights into physiology as well as potential tools for translation to clinical medicine. Key to this analysis is the merger with imaging and experimental tissue mechanics\, providing a core underpinning for studying the heart and cardiovascular system. In this presentation\, I will present recent work in my team exploring a variety of ways in which imaging\, biomechanics and modelling can be leveraged to better understand tissues and blood flow in health and disease.
URL:https://micde.umich.edu/event/micde-seminar-david-nordsletten-associate-professor-department-of-biomedical-engineering-and-cardiac-surgery-u-m/
LOCATION:NCRC Building 10 Research Auditorium\, 2800 Plymouth Rd\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2019/01/David-Nordsletten.png
GEO:42.3016367;-83.7054664
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=NCRC Building 10 Research Auditorium 2800 Plymouth Rd Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=2800 Plymouth Rd:geo:-83.7054664,42.3016367
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190208T140000
DTEND;TZID=America/Detroit:20190208T160000
DTSTAMP:20260606T104515
CREATED:20230905T171357Z
LAST-MODIFIED:20230905T171357Z
UID:10000170-1549634400-1549641600@micde.umich.edu
SUMMARY:Mixed Effects Modeling in Stata
DESCRIPTION:We’ll discuss mixed model regression (also known as multi-level models or hierarchical linear models) in this session which is used for repeated measures data or data which has a clustering element.  We’ll start with a theoretical overview\, discuss choosing an appropriate model\, fitting the models\, checking assumptions and post-hoc analysis. We’ll also cover diagnosing convergence issues. Participants should have basic familiarity with Stata and some working knowledge of linear regression (ordinal least squares).
URL:https://micde.umich.edu/event/mixed-effects-modeling-in-stata-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:20190208T090000
DTEND;TZID=America/Detroit:20190208T130000
DTSTAMP:20260606T104515
CREATED:20230905T171357Z
LAST-MODIFIED:20230905T171357Z
UID:10000196-1549616400-1549630800@micde.umich.edu
SUMMARY:Introduction to the Flux cluster and batch computing
DESCRIPTION:This workshop will provide a brief overview of the components of the Flux Cluster. The main body of the workshop will cover the resource manager and scheduler\, creating submissions scripts to run jobs and the options available in them\, and hands-on experience. By the end of the workshop\, every participant should have created a submission script\, submitted a job\, tracked its progress\, and collected its output. Participants will have several working examples from which to build their own submissions scripts in their own home directories. \nCourse Preparation (PLEASE READ) \nObtain a user account on Flux. If you do not have a Flux user account\, go to the account application page at: https://arc-ts.umich.edu/fluxform/ \nRegister for Duo authentication. \nThis course assumes familiarity with the Linux command line as might be got from the CSCAR/ARC-TS workshop Introduction to the Linux Command Line. In particular\, participants should understand how files and folders work\, be able to create text files using the nano editor\, be able to create and remove files and folders\, and understand what input and output redirection are and how to use them.
URL:https://micde.umich.edu/event/introduction-to-the-flux-cluster-and-batch-computing-7/
LOCATION:East Hall B254\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:High Performance Computing,Workshops
GEO:42.2757302;-83.7351764
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=East Hall B254 530 Church St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=530 Church St.:geo:-83.7351764,42.2757302
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190207T140000
DTEND;TZID=America/Detroit:20190207T170000
DTSTAMP:20260606T104515
CREATED:20230905T171357Z
LAST-MODIFIED:20230905T171357Z
UID:10000195-1549548000-1549558800@micde.umich.edu
SUMMARY:Sliding into Slurm:  An early look at U-M's new high-performance computing environment
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. \n  \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. \n  \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/
LOCATION:East Hall B254\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:High Performance Computing,Workshops
GEO:42.2757302;-83.7351764
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=East Hall B254 530 Church St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=530 Church St.:geo:-83.7351764,42.2757302
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190207T130000
DTEND;TZID=America/Detroit:20190207T170000
DTSTAMP:20260606T104515
CREATED:20230905T171357Z
LAST-MODIFIED:20230905T171357Z
UID:10000183-1549544400-1549558800@micde.umich.edu
SUMMARY:Mixed Models with R
DESCRIPTION:Mixed models are an extremely useful modeling tool for situations in which there is some dependency among observations in the data\, where the correlation typically arises from the observations being clustered in some way. For example\, it is quite common to have data in which we have repeated measurements for the units of observation\, or in which the units of observation are otherwise clustered (e.g. students within school\, cities within geographic region). While there are different ways to approach such a situation\, mixed models are a very common and powerful tool to do so.  In addition\, they have ties to other statistical approaches that further expand their applicability. \nThe goal of this workshop is primarily to provide a sense of when one would use mixed models and how to incorporate a variety of standard techniques.  It is very applied in nature\, and only assumes a basic understanding of standard regression models (and use of R for such models). \nLink: https://m-clark.github.io/mixed-models-with-R/
URL:https://micde.umich.edu/event/mixed-models-with-r-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190207T120000
DTEND;TZID=America/Detroit:20190207T130000
DTSTAMP:20260606T104515
CREATED:20230905T171357Z
LAST-MODIFIED:20230905T171357Z
UID:10000129-1549540800-1549544400@micde.umich.edu
SUMMARY:MICDE 2019 Catalyst Grants Informational Session
DESCRIPTION:MICDE seeks proposals for innovative research projects in computational science that combine elements of mathematics\, computer science\, and cyberinfrastructure. Of interest is innovative computational research in any emerging area\, including but not limited to  \n\nComputational science approaches\, algorithms\, frameworks\, etc.\nEmerging paradigms in computing (exascale computing\, quantum computing\, FPGA computing\, etc.)\nApplications in emerging areas (neuroscience\, ecology\, evolutionary biology\, human-made complex systems\, mobility etc.)\nExtensions of traditional computational sciences to complex decision making (reinforcement learning\, transfer learning\, neuromorphic computing\, etc.)\nArtificial Intelligence informing and informed by science\n\nGeneric big data problems that do not fundamentally advance computational science algorithms are not suitable for MICDE Catalyst Grants. Priority will be given to high-impact projects with potential to eventually attract external funding. MICDE expects to fund 3-4 one-year projects at up to $100\,000 each. \nIn this informational session\, MICDE officials will clarify the program’s intent\, answer questions and facilitate team formation among attendees. \nRSVP is appreciated\, but not required. Lunch will be provided. \nThe session will be broadcasted via this bluejeans link. For more information go to micde.umich.edu/catalyst/
URL:https://micde.umich.edu/event/micde-2019-catalyst-grants-info-session/
LOCATION:Weiser Hall\, Room 747\, 500 Church St\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,Info Session
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2022/04/signature-vertical.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190206T110000
DTEND;TZID=America/Detroit:20190206T130000
DTSTAMP:20260606T104515
CREATED:20230905T171423Z
LAST-MODIFIED:20230905T171423Z
UID:10000182-1549450800-1549458000@micde.umich.edu
SUMMARY:Introduction to Programming with Python & Matlab
DESCRIPTION:This is a four-part workshop introducing programming concepts to those with little-to-no programming experience. \nThe four 2-hour sessions will take place over two weeks\, with Python being taught in the first three sessions\, and Matlab in the fourth session. Computers are provided. \nSession 1: Feb 6\, 11am – 1pm – Location: MLB 2001a \nSession 2: Feb 7\, 11am – 1pm –  Location: MLB 2001A \nSession 3: Feb 13\, 11am – 1pm – Location: MLB 2001A \nSession 4: Feb 14\, 11am – 1pm – Location: MLB 2001A
URL:https://micde.umich.edu/event/introduction-to-programming-with-python-matlab/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190206T090000
DTEND;TZID=America/Detroit:20190206T120000
DTSTAMP:20260606T104515
CREATED:20230905T171423Z
LAST-MODIFIED:20230905T171423Z
UID:10000194-1549443600-1549454400@micde.umich.edu
SUMMARY:Advanced batch computing on the Flux cluster
DESCRIPTION:This course will cover some more advanced topics in cluster computing on the U-M Flux Cluster. Topics to be covered include a review of common parallel programming models and basic use of Flux; dependent and array scheduling; advanced troubleshooting and analysis using checkjob\, qstat\, and other tools; and parallel debugging and profiling of C and Fortran code\, including logging\, gdb (line-oriented debugging)\, ddt (GUI-based debugging) and map (GUI-based profiling) of MPI and OpenMP programs. We will issue you a temporary allocation to use for the course\, or you can use your existing Flux allocations\, if any. \nCourse Prerequisites:  Introduction to Batch Computing on Flux or equivalent. This course assumes familiarity with the Linux command line\, text editing on Linux\, and a basic understanding of Flux including how to submit and track jobs.
URL:https://micde.umich.edu/event/advanced-batch-computing-on-the-flux-cluster-6/
LOCATION:East Hall B254\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:High Performance Computing,Workshops
GEO:42.2757302;-83.7351764
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=East Hall B254 530 Church St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=530 Church St.:geo:-83.7351764,42.2757302
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190205T140000
DTEND;TZID=America/Detroit:20190205T160000
DTSTAMP:20260606T104515
CREATED:20230905T171424Z
LAST-MODIFIED:20230905T171424Z
UID:10000181-1549375200-1549382400@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/
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:20190205T123000
DTEND;TZID=America/Detroit:20190205T153000
DTSTAMP:20260606T104515
CREATED:20230905T171424Z
LAST-MODIFIED:20230905T171424Z
UID:10000193-1549369800-1549380600@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. \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\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-7/
LOCATION:East Hall B254\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:High Performance Computing,Workshops
GEO:42.2757302;-83.7351764
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=East Hall B254 530 Church St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=530 Church St.:geo:-83.7351764,42.2757302
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190205T083000
DTEND;TZID=America/Detroit:20190205T150000
DTSTAMP:20260606T104515
CREATED:20230905T171424Z
LAST-MODIFIED:20230905T171424Z
UID:10000037-1549355400-1549378800@micde.umich.edu
SUMMARY:Statistical Analysis with R
DESCRIPTION:This is a two day workshop (February 4 and 5) in R which  is a free and open source environment for data analysis and statistical computing.  While R contains many built-in statistical procedures\, a powerful feature of R is the facility for users to extend these procedures to suit their own needs.  Excellent graphing capability is another reason R is gaining wide popularity. \n\nHow to Obtain R\nHelp Tools\nImporting / Exporting Data\nData Management\nDescriptive and Exploratory Statistics\nCommon Statistical Analyses (t-test\, Regression Modeling\, ANOVA\, etc.)\nGraphics\nCreating Functions\n\n 
URL:https://micde.umich.edu/event/statistical-analysis-with-r-2-2-2/2019-02-05/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190204T130000
DTEND;TZID=America/Detroit:20190204T170000
DTSTAMP:20260606T104515
CREATED:20230905T171423Z
LAST-MODIFIED:20230905T171423Z
UID:10000192-1549285200-1549299600@micde.umich.edu
SUMMARY:Introduction to the Flux cluster and batch computing
DESCRIPTION:This workshop will provide a brief overview of the components of the Flux Cluster. The main body of the workshop will cover the resource manager and scheduler\, creating submissions scripts to run jobs and the options available in them\, and hands-on experience. By the end of the workshop\, every participant should have created a submission script\, submitted a job\, tracked its progress\, and collected its output. Participants will have several working examples from which to build their own submissions scripts in their own home directories. \nCourse Preparation (PLEASE READ) \nObtain a user account on Flux. If you do not have a Flux user account\, go to the account application page at: https://arc-ts.umich.edu/fluxform/ \nRegister for Duo authentication. \nThis course assumes familiarity with the Linux command line as might be got from the CSCAR/ARC-TS workshop Introduction to the Linux Command Line. In particular\, participants should understand how files and folders work\, be able to create text files using the nano editor\, be able to create and remove files and folders\, and understand what input and output redirection are and how to use them.
URL:https://micde.umich.edu/event/introduction-to-the-flux-cluster-and-batch-computing-6/
LOCATION:East Hall B254\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:High Performance Computing,Workshops
GEO:42.2757302;-83.7351764
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=East Hall B254 530 Church St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=530 Church St.:geo:-83.7351764,42.2757302
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190204T130000
DTEND;TZID=America/Detroit:20190204T160000
DTSTAMP:20260606T104515
CREATED:20230905T171423Z
LAST-MODIFIED:20230905T171423Z
UID:10000180-1549285200-1549296000@micde.umich.edu
SUMMARY:Data Visualization With 3D Graphics Using Unity3D
DESCRIPTION:Video game development is more accessible than ever thanks to advanced software tools. Unity3D is one of the most popular game engines available\, thanks to its ease of use\, support for multiple platforms\, and affordable pricing options (including free!). In addition to powering the majority of mobile and independently-developed games\, the engine is being used in new applications\, including animated short films by Disney\, automotive design and self-driving training at Audi and Toyota\, and augmented-reality demonstrations. Unity3D is beginning to be a viable tool to use alongside scientific projects\, especially those that require 3D visual representation of pre-computed data for user analysis. \nIn this workshop\, we introduce the Unity3D workspace\, and prepare a demo that allows the user to load an example data-set and view it as a simple set of 3D representations.  \nA 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 or Macintosh) 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/
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:20190204T083000
DTEND;TZID=America/Detroit:20190204T150000
DTSTAMP:20260606T104515
CREATED:20230905T171423Z
LAST-MODIFIED:20230905T171423Z
UID:10000036-1549269000-1549292400@micde.umich.edu
SUMMARY:Statistical Analysis with R
DESCRIPTION:This is a two day workshop (February 4 and 5) in R which  is a free and open source environment for data analysis and statistical computing.  While R contains many built-in statistical procedures\, a powerful feature of R is the facility for users to extend these procedures to suit their own needs.  Excellent graphing capability is another reason R is gaining wide popularity. \n\nHow to Obtain R\nHelp Tools\nImporting / Exporting Data\nData Management\nDescriptive and Exploratory Statistics\nCommon Statistical Analyses (t-test\, Regression Modeling\, ANOVA\, etc.)\nGraphics\nCreating Functions\n\n 
URL:https://micde.umich.edu/event/statistical-analysis-with-r/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190201T140000
DTEND;TZID=America/Detroit:20190201T160000
DTSTAMP:20260606T104515
CREATED:20230905T171423Z
LAST-MODIFIED:20230905T171423Z
UID:10000169-1549029600-1549036800@micde.umich.edu
SUMMARY:Regression Modeling in Stata
DESCRIPTION:In this session\, we will discuss fitting traditional regression models in Stata\, including linear regression\, logistic regression\, and time-allowing\, poisson regression. We’ll briefly introduce the theory behind the models\, discuss choosing an appropriate model\, fitting the model\, checking assumptions and some post-hoc analysis. Participants are expected to have some basic familiarity with Stata.
URL:https://micde.umich.edu/event/regression-modeling-in-stata-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:20190201T110000
DTEND;TZID=America/Detroit:20190201T120000
DTSTAMP:20260606T104515
CREATED:20230905T171423Z
LAST-MODIFIED:20230905T171423Z
UID:10000176-1549018800-1549022400@micde.umich.edu
SUMMARY:MICDE Seminar: Amir Ali Ahmadi\, Assistant Professor\, Operations Research and Financial Engineering\, Princeton University
DESCRIPTION:Bio: Amir Ali Ahmadi is an Assistant Professor at the Department of Operations Research and Financial Engineering at Princeton University and an Associated Faculty member of the Program in Applied and Computational Mathematics\, the Department of Computer Science\, the Department of Mechanical and Aerospace Engineering\, and the Center for Statistics and Machine Learning. Amir Ali received his PhD in EECS from MIT and was a Goldstine Fellow at the IBM Watson Research Center prior to joining Princeton. His research interests are in optimization theory\, computational aspects of dynamics and control\, and algorithms and complexity. Amir Ali’s distinctions include the Sloan Fellowship in Computer Science\, a MURI award from the AFOSR\, the NSF CAREER Award\, the AFOSR Young Investigator Award\, the DARPA Faculty Award\, the Google Faculty Award\, the Howard B. Wentz Junior Faculty Award as well as the Innovation Award of Princeton University\, the Goldstine Fellowship of IBM Research\, and the Oberwolfach Fellowship of the NSF. His undergraduate course at Princeton (ORF 363\, “Computing and Optimization’’) has received the 2017 Excellence in Teaching of Operations Research Award of the Institute for Industrial and Systems Engineers and the 2017 Phi Beta Kappa Award for Excellence in Undergraduate Teaching at Princeton University. Amir Ali is also the recipient of a number of best-paper awards\, including the INFORMS Optimization Society’s Young Researchers Prize\, the INFORMS Computing Society Prize (for best series of papers at the interface of operations research and computer science)\, the Best Conference Paper Award of the IEEE International Conference on Robotics and Automation\, and the prize for one of two most outstanding papers published in the SIAM Journal on Control and Optimization in 2013-2015. \nPOLYNOMIAL OPTIMIZATION AND DYNAMICAL SYSTEMS\nIn recent years\, there has been a surge of exciting research activity at the interface of optimization (in particular polynomial\, semidefinite\, and sum of squares optimization) and the theory of dynamical systems. In this talk\, we focus on two of our current research directions that are at this interface. In part (i)\, we propose more scalable alternatives to sum of squares optimization and show how they impact verification problems in control and robotics\, as well as some classic questions in polynomial optimization and statistics. Our new algorithms do not rely on semidefinite programming\, but instead use linear programming\, or second-order cone programming\, or are altogether free of optimization. In particular\, we present the first Positivstellensatz that certifies infeasibility of a set of polynomial inequalities simply by multiplying certain fixed polynomials together and checking nonnegativity of the coefficients of the resulting product.\nIn part (ii)\, we introduce a new class of optimization problems whose constraints are imposed by trajectories of a dynamical system. As a concrete example\, we consider the problem of optimizing a linear function over the set of initial conditions that forever remain inside a given polyhedron under the action of a linear\, or a switched linear\, dynamical system. We present a hierarchy of linear and semidefinite programs that respectively lower and upper bound the optimal value of such problems to arbitrary accuracy. \nThis seminar is co-sponsored by the department of Industrial and Operations Engineering. Prof. Ahmadi is being hosted by Prof. Shen (IOE). If you would like to meet with him during his visit\, please send an email to micde-events@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-amir-ali-ahmadi-assistant-professor-operations-research-and-financial-engineering-princeton-university/
LOCATION:2717 IOE\, 1205 BEAL AVE\, ANN ARBOR\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2019/01/Amir-Ali-Ahmadi.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190130T090000
DTEND;TZID=America/Detroit:20190130T120000
DTSTAMP:20260606T104515
CREATED:20230905T171423Z
LAST-MODIFIED:20230905T171423Z
UID:10000191-1548838800-1548849600@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. \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\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-6/
LOCATION:East Hall B254\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:High Performance Computing,Workshops
GEO:42.2757302;-83.7351764
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=East Hall B254 530 Church St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=530 Church St.:geo:-83.7351764,42.2757302
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190129T140000
DTEND;TZID=America/Detroit:20190129T160000
DTSTAMP:20260606T104515
CREATED:20230905T171423Z
LAST-MODIFIED:20230905T171423Z
UID:10000179-1548770400-1548777600@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 majority of the time we will focus on other GLMs including 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/
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=UTC:20190128T160000
DTEND;TZID=UTC:20190128T170000
DTSTAMP:20260606T104515
CREATED:20230905T171422Z
LAST-MODIFIED:20230905T171422Z
UID:10000167-1548691200-1548694800@micde.umich.edu
SUMMARY:Graduate Studies in Computational & Data Sciences Info Session - Central Campus
DESCRIPTION:Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided \n\nThe Ph.D. in Scientific Computing is open to all Ph.D. students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their studies. It is a joint degree program\, with students earning a Ph.D. from their current departments\, “… and Scientific Computing” — for example\, “Ph.D. in Aerospace Engineering and Scientific Computing.”\nThe Graduate Certificate in Computational Discovery and Engineering trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan.\nThe Graduate Certificate in Data Science is focused on developing core proficiencies in data analytics:\n1) Modeling — Understanding of core data science principles\, assumptions and applications;\n2) Technology — Knowledge of basic protocols for data management\, processing\, computation\, information extraction\, and visualization;\n3) Practice — Hands-on experience with real data\, modeling tools\, and technology resources.\nThe Graduate Certificate in Computational Neuroscience provides training in interdisciplinary computational neuroscience to graduate students in experimental neuroscience programs and to graduate students in quantitative science programs\, such as physics\, biophysics\, mathematics and engineering. The curriculum includes required core computational neuroscience courses and coursework outside of the student’s home department research focus\, i.e. quantitative coursework for students in experimental programs\, and neuroscience coursework for students in quantitative programs.
URL:https://micde.umich.edu/event/graduate-studies-in-computational-data-sciences-info-session-central-campus-f2018-2/
LOCATION:Weiser Hall\, 10th Floor\, 500 Church Street\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Info Session
GEO:42.2765179;-83.7350438
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Weiser Hall 10th Floor 500 Church Street Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=500 Church Street:geo:-83.7350438,42.2765179
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190125T093000
DTEND;TZID=America/Detroit:20190125T160000
DTSTAMP:20260606T104515
CREATED:20230905T171422Z
LAST-MODIFIED:20230905T171422Z
UID:10000076-1548408600-1548432000@micde.umich.edu
SUMMARY:Introduction to Stata
DESCRIPTION:Topics: \n\nBy the end of the workshop\, participants will be able to:\n\nWork with Stata\, including using Do-files and using the help system.\nGet data into Stata and manage your data files\nEstablish familiarity with your data\nClean the data to prepare it for analysis\nCheck for basic errors in the data\nGenerate new variables or manipulate existing variables\nMerge or reshape the data.\nProduce summary tables and descriptive statistics.\n\n\nNote: This is a full day workshop. To get the most out of it\, please plan to stay for the entire class.\n\n(Topics subject to change) \n 
URL:https://micde.umich.edu/event/introduction-to-stata-3-3-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190124T163000
DTEND;TZID=UTC:20190124T173000
DTSTAMP:20260606T104515
CREATED:20230905T171422Z
LAST-MODIFIED:20230905T171422Z
UID:10000168-1548347400-1548351000@micde.umich.edu
SUMMARY:Graduate Studies in Computational & Data Sciences Info Session - North Campus
DESCRIPTION:Learn about graduate programs that will prepare you for success in computationally intensive fields — pizza and pop provided \n\nThe Ph.D. in Scientific Computing is open to all Ph.D. students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their studies. It is a joint degree program\, with students earning a Ph.D. from their current departments\, “… and Scientific Computing” — for example\, “Ph.D. in Aerospace Engineering and Scientific Computing.”\nThe Graduate Certificate in Computational Discovery and Engineering trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan.\nThe Graduate Certificate in Data Science is focused on developing core proficiencies in data analytics:\n1) Modeling — Understanding of core data science principles\, assumptions and applications;\n2) Technology — Knowledge of basic protocols for data management\, processing\, computation\, information extraction\, and visualization;\n3) Practice — Hands-on experience with real data\, modeling tools\, and technology resources.\nThe Graduate Certificate in Computational Neuroscience provides training in interdisciplinary computational neuroscience to graduate students in experimental neuroscience programs and to graduate students in quantitative science programs\, such as physics\, biophysics\, mathematics and engineering. The curriculum includes required core computational neuroscience courses and coursework outside of the student’s home department research focus\, i.e. quantitative coursework for students in experimental programs\, and neuroscience coursework for students in quantitative programs.
URL:https://micde.umich.edu/event/graduate-studies-in-computational-data-sciences-info-session-north-campus-f2018-2/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor LEC 3213ABC\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Info Session
GEO:42.2914823;-83.7138452
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Johnson Rooms Lurie Engineering Center 3rd Floor LEC 3213ABC 1221 Beal Ave. Ann Arbor MI United States;X-APPLE-RADIUS=500;X-TITLE=1221 Beal Ave.:geo:-83.7138452,42.2914823
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190122T140000
DTEND;TZID=America/Detroit:20190122T160000
DTSTAMP:20260606T104515
CREATED:20230905T171422Z
LAST-MODIFIED:20230905T171422Z
UID:10000178-1548165600-1548172800@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 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/
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:20190118T150000
DTEND;TZID=America/Detroit:20190118T160000
DTSTAMP:20260606T104515
CREATED:20230905T171422Z
LAST-MODIFIED:20230905T171422Z
UID:10000155-1547823600-1547827200@micde.umich.edu
SUMMARY:MICDE Seminar: Mattia Gazzola\, Department of Mechanical Science and Engineering\, University of Illinois at Urbana-Champaign
DESCRIPTION:Bio: Mattia Gazzola is an Assistant Professor in the department of Mechanical and Science Engineering at the University of Illinois\, Urbana-Champaign. Originally from Galliate\, Italy\, he obtained his B. Sc. in Energy Engineering and M. Sc. in Nuclear Engineering from the Politecnico di Milano. He then was granted a PhD. in Mechanical Engineering from ETH Zurich where he worked with Prof. Petros Koumoutsakos specializing in simulation\, optimization and learning of artificial swimmers. His research interests include locomotion in fluids\, where he combines theory\, numerical simulations and AI to advance our understanding of the physical mechanisms involved. He is also interested in creating artificial animals – or cyborgs – to link neuro-dynamics\, mechanics and complex controllable gaits-coupling sensory information to motor coordination and movement that leads to behavior. His research group develops numerical algorithms that allow the integration of AI with large scale simulations. \nMODELING\, SIMULATION AND CONTROL OF COMPLEX MUSCULOSKELETAL ARCHITECTURES\nWe introduce a modeling approach based on assemblies of Cosserat rods for the simulation and characterization of arbitrary muscoloskeletal architectures. The obtained solver is coupled to evolutionary optimization techniques for the rational design of soft artificial creatures characterized by different scales and operating across environments. A control approach for these distributed mechanical systems is outlined and demonstrated in simple settings. Applications range from slithering\, swimming and flying biolocomotion strategies to bio-hybrid systems. \nThis is a joint seminar with the Applied and Interdisciplinary Mathematics seminar series. Prof. Gazzola is being hosted by Prof. Alben (Mathematics). If you would like to meet with him during his visit\, please send an email to micde-events@umich.edu.
URL:https://micde.umich.edu/event/micde-seminar-mattia-gazzola-department-of-mechanical-science-and-engineering-uicuc/
LOCATION:1084 East Hall\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2018/08/Mattia-Gazzola.png
GEO:42.2757302;-83.7351764
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1084 East Hall 530 Church St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=530 Church St.:geo:-83.7351764,42.2757302
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190118T093000
DTEND;TZID=America/Detroit:20190118T093000
DTSTAMP:20260606T104515
CREATED:20230905T171422Z
LAST-MODIFIED:20230905T171422Z
UID:10000177-1547803800-1547803800@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. \n 
URL:https://micde.umich.edu/event/intro-to-sql-3-2/
LOCATION:Modern Languages Building (MLB)\, Room 2001A
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190111T150000
DTEND;TZID=America/Detroit:20190111T160000
DTSTAMP:20260606T104515
CREATED:20230905T171422Z
LAST-MODIFIED:20230905T171422Z
UID:10000171-1547218800-1547222400@micde.umich.edu
SUMMARY:MICDE Seminar: Yuri Bazilevs\, School of Engineering\, Brown University
DESCRIPTION:Bio: Yuri Bazilevs is the E. Paul Sorensen Chair in the School of Engineering at Brown University. He was previously a Professor and Vice Chair in the Structural Engineering Department at the University of California\, San Diego. Yuri is the original developer of Isogeometric Analysis (IGA)\, a new computational methodology that aims to integrate engineering design (CAD) and simulation (FEM). For his research contributions Yuri received a number of awards and honors\, including the 2018 ASCE Walter L. Huber Research Prize. He is included in the 2014-2018 lists of Highly Cited Researchers\, both in the Engineering and Computer Science categories. \nISOGEOMETRIC METHODS FOR SOLIDS\, STRUCTURES\, AND FLUID-STRUCTURE INTERACTION: FROM EARLY RESULTS TO RECENT DEVELOPMENTS\nThis presentation is focused on Isogeometric Analysis (IGA) with applications to solids and structures\, starting with early developments and results\, and transitioning to more recent work. Novel IGA-based thin-shell formulations are discussed\, and applications to progressive damage modeling in composite laminates due to low-velocity impact and their residual-strength prediction are shown. Fluid–structure interaction (FSI) employing IGA is also discussed\, and a novel framework for air-blast-structure interaction (ABSI) based on an immersed approach coupling IGA and RKPM-based Meshfree methods is presented and verified on a set of challenging examples. The presentation is infused with examples that highlight effective uses of IGA in advanced engineering applications. \nProf. Bazilevs is being hosted by Prof. Garikipati (Mechanical Engineering). If you would like to meet him during his visit please send an email to micde-events@umich.edu. If you are an MICDE or ME student and would like to join Prof. Bazilevs for lunch please RVSP here by Wednesday\, January 9.
URL:https://micde.umich.edu/event/micde-seminar-yuri-bazilev-school-of-engineering-brown-university/
LOCATION:2540 G.G. Brown (2350 Hayward St.)\, 2300 Hayward St\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2018/11/Yuri-Bazilevs.png
GEO:42.292998;-83.7152904
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=2540 G.G. Brown (2350 Hayward St.) 2300 Hayward St Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=2300 Hayward St:geo:-83.7152904,42.292998
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20181212T160000
DTEND;TZID=America/Detroit:20181212T170000
DTSTAMP:20260606T104515
CREATED:20230905T171422Z
LAST-MODIFIED:20230905T171422Z
UID:10000172-1544630400-1544634000@micde.umich.edu
SUMMARY:MICDE Seminar: Aaron Frank\, Chemistry and Biophysics\, University of Michigan
DESCRIPTION:Bio: Aaron Frank is originally from Grenada\, a small island in the Caribbean. After moving to the US in 2001\, Aaron received his BA in chemistry from Brooklyn College in 2006\, where he carried out research in the groups of Professors Charlene Forest\, Shaneen Singh\, and Alexander Greer. He then moved to Michigan to attend graduate school at the University of Michigan and then\, with his Ph.D advisor Professor Ioan Andricioaei\, moved to UC Irvine in 2008. Aaron received his Ph.D in chemistry in 2011. Following a 2 year stint at Nymirum Inc. — a small biotech company in Ann Arbor founded by a close collaborator\, Professor Hashimi Al-Hashimi — he returned to the University of Michigan as a Presidential Postdoctoral Fellow where he was mentored by Professor Charles L. Brooks\, III. Aaron is now an Assistant Professor at the University of Michigan in the Chemistry Department and the Biophysics Department. \nDATA SCIENCE AT THE INTERFACE OF BIOLOGY\, CHEMISTRY\, AND PHYSICS\nIn this talk\, I will describe examples of how my research group uses data science tools to tackle research problems that fall at the interface between Biology\, Chemistry\, and Physics. First\, I will describe ongoing research focused on mapping the structure-landscape of functional ribonucleic acids (or RNAs). In this project\, we combined machine learning and secondary structure modeling tools to predict the structure of RNAs conditioned on available NMR chemical shift data. This method now enables us to model individual conformational states\, including previously invisible states of an RNA\, based on its sequence and available chemical shift data. Second\, I will describe ongoing research centered around decoding structure-kinetic relationships (SKRs) in sparse datasets. There is now immense interest in developing drugs that exhibit elevated residence times on their target. In this project\, we used machine learning to encapsulate SKRs for CDK2\, a prominent cancer target\, from a dataset containing only fourteen (14) samples. I will describe our efforts to build and test CDK2-specific SKR models that take as input\, the atomic structure of receptor-ligand complexes and output estimates of their residence times. Additionally\, I will describe proof-of-concept studies that demonstrate the utility of our CDK2-specific SKR models as tools to help efficiently explore chemical space in search of novel chemical scaffolds that are enriched with high-residence time and potent inhibitors of CDK2.
URL:https://micde.umich.edu/event/micde-seminar-aaron-frank-chemistry-and-biophysics-university-of-michigan/
LOCATION:1210 Chemistry & Willard H Dow Laboratory\, 930 University Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series,Seminar
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