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DTSTART;TZID=America/Detroit:20190111T150000
DTEND;TZID=America/Detroit:20190111T160000
DTSTAMP:20230905T171422Z
CREATED:20230905T171422Z
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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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190118T093000
DTEND;TZID=America/Detroit:20190118T093000
DTSTAMP:20230905T171422Z
CREATED:20230905T171422Z
LAST-MODIFIED:20230905T171422Z
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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:20190118T150000
DTEND;TZID=America/Detroit:20190118T160000
DTSTAMP:20230905T171422Z
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190122T140000
DTEND;TZID=America/Detroit:20190122T160000
DTSTAMP:20230905T171422Z
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
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BEGIN:VEVENT
DTSTART;TZID=UTC:20190124T163000
DTEND;TZID=UTC:20190124T173000
DTSTAMP:20230905T171422Z
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:20190125T093000
DTEND;TZID=America/Detroit:20190125T160000
DTSTAMP:20230905T171422Z
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:20190128T160000
DTEND;TZID=UTC:20190128T170000
DTSTAMP:20230905T171422Z
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190129T140000
DTEND;TZID=America/Detroit:20190129T160000
DTSTAMP:20230905T171423Z
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=America/Detroit:20190130T090000
DTEND;TZID=America/Detroit:20190130T120000
DTSTAMP:20230905T171423Z
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
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