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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190923T170000
DTEND;TZID=America/Detroit:20190923T180000
DTSTAMP:20230905T171404Z
CREATED:20230905T171404Z
LAST-MODIFIED:20230905T171404Z
UID:10000273-1569258000-1569261600@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 Computational Neuroscience trains the next generation of interdisciplinary neuroscientists. The certificate program is open to all students 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.
URL:https://micde.umich.edu/event/info-session-fall2019-central/
LOCATION:Weiser Hall\, Room 110 (First Floor)\, 500 Church Street\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Info Session
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190827T130000
DTEND;TZID=America/Detroit:20190827T170000
DTSTAMP:20230905T171403Z
CREATED:20230905T171403Z
LAST-MODIFIED:20230905T171403Z
UID:10000256-1566910800-1566925200@micde.umich.edu
SUMMARY:Transitioning from Flux to Great Lakes
DESCRIPTION:Lecture w/ Q&A \n  \nNo Registration required. Drop-ins welcome. Thanks!
URL:https://micde.umich.edu/event/transitioning-from-flux-to-great-lakes-9/
LOCATION:ARCTS Office\, 540 E. Liberty St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:High Performance Computing,Info Session,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190826T130000
DTEND;TZID=America/Detroit:20190826T150000
DTSTAMP:20230905T171403Z
CREATED:20230905T171403Z
LAST-MODIFIED:20230905T171403Z
UID:10000255-1566824400-1566831600@micde.umich.edu
SUMMARY:Transitioning from Flux to Great Lakes
DESCRIPTION:Lecture w/ Q&A \n  \nNo Registration required. Drop-ins welcome. Thanks!
URL:https://micde.umich.edu/event/transitioning-from-flux-to-great-lakes-8/
LOCATION:Room 1450 – Institute for Social Research\, 426 Thompson Street\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:High Performance Computing,Info Session,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190815T090000
DTEND;TZID=America/Detroit:20190815T110000
DTSTAMP:20230905T171403Z
CREATED:20230905T171403Z
LAST-MODIFIED:20230905T171403Z
UID:10000254-1565859600-1565866800@micde.umich.edu
SUMMARY:Transitioning from Flux to Great Lakes
DESCRIPTION:Lecture w/ Q&A \n  \nNo Registration required. Drop-ins welcome. Thanks!
URL:https://micde.umich.edu/event/transitioning-from-flux-to-great-lakes-6/
LOCATION:Room 1450 – Institute for Social Research\, 426 Thompson Street\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:High Performance Computing,Info Session,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190806T130000
DTEND;TZID=America/Detroit:20190806T150000
DTSTAMP:20230905T171403Z
CREATED:20230905T171403Z
LAST-MODIFIED:20230905T171403Z
UID:10000253-1565096400-1565103600@micde.umich.edu
SUMMARY:Transitioning from Flux to Great Lakes
DESCRIPTION:Lecture w/ Q&A \n  \nNo Registration required. Drop-ins welcome. Thanks!
URL:https://micde.umich.edu/event/transitioning-from-flux-to-great-lakes-5/
LOCATION:Room 1450 – Institute for Social Research\, 426 Thompson Street\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,High Performance Computing,Info Session,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190730T090000
DTEND;TZID=America/Detroit:20190730T110000
DTSTAMP:20230905T171401Z
CREATED:20230905T171401Z
LAST-MODIFIED:20230905T171401Z
UID:10000252-1564477200-1564484400@micde.umich.edu
SUMMARY:Transitioning from Flux to Great Lakes
DESCRIPTION:Lecture w/ Q&A \n  \nNo Registration required. Drop-ins only. Thanks!
URL:https://micde.umich.edu/event/transition-from-flux-to-greatlakes/
LOCATION:Room 1450 – Institute for Social Research\, 426 Thompson Street\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Info Session,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190729T130000
DTEND;TZID=America/Detroit:20190729T150000
DTSTAMP:20230905T171402Z
CREATED:20230905T171402Z
LAST-MODIFIED:20230905T171402Z
UID:10000251-1564405200-1564412400@micde.umich.edu
SUMMARY:Transitioning from Flux to Great Lakes
DESCRIPTION:Lecture w/ Q&A \n  \nNo Registration required. Drop-ins only. Thanks!
URL:https://micde.umich.edu/event/transitioning-from-flux-to-great-lakes-4/
LOCATION:Room 1450 – Institute for Social Research\, 426 Thompson Street\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Info Session,Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190722T090000
DTEND;TZID=America/Detroit:20190722T110000
DTSTAMP:20230905T171402Z
CREATED:20230905T171402Z
LAST-MODIFIED:20230905T171402Z
UID:10000238-1563786000-1563793200@micde.umich.edu
SUMMARY:Transitioning from Flux to Great Lakes
DESCRIPTION:Lecture w/ Q&A \n  \nNo Registration required. Drop-ins only. Thanks!
URL:https://micde.umich.edu/event/transitioning-from-flux-to-great-lakes-2/
LOCATION:NCRC Building 300\, Room 372\, North Campus Research Complex Building 300\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Info Session
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190716T090000
DTEND;TZID=America/Detroit:20190716T110000
DTSTAMP:20230905T171402Z
CREATED:20230905T171402Z
LAST-MODIFIED:20230905T171402Z
UID:10000237-1563267600-1563274800@micde.umich.edu
SUMMARY:Transitioning from Flux to Great Lakes
DESCRIPTION:Lecture w/ Q&A \n  \nNo registration required. Drop-ins only. Thank you!
URL:https://micde.umich.edu/event/transitioning-from-flux-to-great-lakes/
LOCATION:2g207\, University Hospital\, room 2G207\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Info Session
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190711T130000
DTEND;TZID=America/Detroit:20190711T170000
DTSTAMP:20230905T171402Z
CREATED:20230905T171402Z
LAST-MODIFIED:20230905T171402Z
UID:10000239-1562850000-1562864400@micde.umich.edu
SUMMARY:Transitioning from Flux to Great Lakes
DESCRIPTION:Lecture w/ Q&A \n  \nNo registration required. Drop-ins only. Thanks!
URL:https://micde.umich.edu/event/transitioning-from-flux-to-great-lakes-3/
LOCATION:LSA 2130\, 500 State St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Info Session
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20190207T120000
DTEND;TZID=America/Detroit:20190207T130000
DTSTAMP:20230905T171357Z
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
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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
GEO:42.2765179;-83.7350438
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END:VEVENT
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=UTC:20180925T163000
DTEND;TZID=UTC:20180925T173000
DTSTAMP:20230905T171420Z
CREATED:20230905T171420Z
LAST-MODIFIED:20230905T171420Z
UID:10000161-1537893000-1537896600@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.
URL:https://micde.umich.edu/event/graduate-studies-in-computational-data-sciences-info-session-central-campus-f2018/
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=UTC:20180924T163000
DTEND;TZID=UTC:20180924T173000
DTSTAMP:20230905T171420Z
CREATED:20230905T171420Z
LAST-MODIFIED:20230905T171420Z
UID:10000160-1537806600-1537810200@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.
URL:https://micde.umich.edu/event/graduate-studies-in-computational-data-sciences-info-session-north-campus-f2018/
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:20171129T153000
DTEND;TZID=America/Detroit:20171129T163000
DTSTAMP:20230905T171416Z
CREATED:20230905T171416Z
LAST-MODIFIED:20230905T171416Z
UID:10000116-1511969400-1511973000@micde.umich.edu
SUMMARY:MICDE 2017 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 (a) applications such as neuroscience\, ecology\, environmental science\, evolutionary biology\, human-made complex systems\, urban infrastructure and energy\, (b) frameworks for scientific software\, exascale\, quantum\, or neuromorphic computing\, and (c) concepts such as computations to decisions. The aim of the Catalyst Grants program is to advance projects that have the potential to attract additional external funding. 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. \nPlease pre-register using this google form. You’ll need to be signed into your umich account. The session will be broadcasted via this bluejeans link. For more information go to https://live-umor-micde.pantheonsite.io/grants/catalyst-grants/
URL:https://micde.umich.edu/event/micde-2017-catalyst-grants-informational-session/
LOCATION:Space 2435 North Quad\, 105 S. State St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Info Session
GEO:42.2807324;-83.7400253
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20170925T170000
DTEND;TZID=UTC:20170925T180000
DTSTAMP:20230905T171439Z
CREATED:20230905T171439Z
LAST-MODIFIED:20230905T171439Z
UID:10000055-1506358800-1506362400@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.
URL:https://micde.umich.edu/event/graduate-studies-in-computational-data-sciences-info-session-central-campus-f2017/
LOCATION:2001 LSA Building\, 500 State St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Info Session
GEO:42.2761921;-83.7413068
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20170921T170000
DTEND;TZID=UTC:20170921T180000
DTSTAMP:20230905T171439Z
CREATED:20230905T171439Z
LAST-MODIFIED:20230905T171439Z
UID:10000056-1506013200-1506016800@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.
URL:https://micde.umich.edu/event/graduate-studies-in-computational-data-sciences-info-session-north-campus-2017f/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor\, 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 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=UTC:20170111T170000
DTEND;TZID=UTC:20170111T180000
DTSTAMP:20230905T171439Z
CREATED:20230905T171439Z
LAST-MODIFIED:20230905T171439Z
UID:10000045-1484154000-1484157600@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.
URL:https://micde.umich.edu/event/graduate-studies-in-computational-data-sciences-info-session-north-campus/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor\, 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 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=UTC:20170109T170000
DTEND;TZID=UTC:20170109T180000
DTSTAMP:20230905T171440Z
CREATED:20230905T171440Z
LAST-MODIFIED:20230905T171440Z
UID:10000031-1483981200-1483984800@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.
URL:https://micde.umich.edu/event/graduate-studies-in-computational-data-sciences-info-session-central-campus/
LOCATION:2001 LSA Building\, 500 State St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Info Session
GEO:42.2761921;-83.7413068
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=2001 LSA Building 500 State St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=500 State St.:geo:-83.7413068,42.2761921
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20161110T140000
DTEND;TZID=America/Detroit:20161110T150000
DTSTAMP:20230905T171440Z
CREATED:20230905T171440Z
LAST-MODIFIED:20230905T171440Z
UID:10000060-1478786400-1478790000@micde.umich.edu
SUMMARY:MICDE 2016 Catalyst Grants Informational Session
DESCRIPTION:The Michigan Institute for Computational Discovery & Engineering (MICDE) seeks proposals for innovative research projects in computational science that combine elements of mathematics\, computer science\, and cyberinfrastructure. Of interest is computational science research in any emerging area\, including but not limited to (a) applications such as neuroscience\, ecology\, environmental science\, evolutionary biology\, human-made complex systems\, urban infrastructure and energy; and (b) frameworks for scientific software\, and exascale computing. Priority will be given to high-impact projects with potential to 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. \nPlease pre-register using this google form. You’ll need to be signed into your umich account. The session will be broadcasted via this bluejeans link. For more information go to https://live-umor-micde.pantheonsite.io/grants/catalyst-grants/
URL:https://micde.umich.edu/event/micde-2016-catalyst-grants-informational-session/
LOCATION:Michigan League\, Room D\, 911 N. University \, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Info Session
GEO:42.279296;-83.7375576
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Michigan League Room D 911 N. University  Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=911 N. University:geo:-83.7375576,42.279296
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20161101T160000
DTEND;TZID=America/Detroit:20161101T170000
DTSTAMP:20230905T171440Z
CREATED:20230905T171440Z
LAST-MODIFIED:20230905T171440Z
UID:10000049-1478016000-1478019600@micde.umich.edu
SUMMARY:Info Session: Data Services at U-M
DESCRIPTION:Representatives of Consulting for Statistics\, Computing and Analytics Research (CSCAR) and the U-M Library (UML) will give an overview of services that are now available to support data-intensive research on campus.  As part of the U-M Data Science Initiative\, CSCAR and UML are expanding their scopes and adding capacity to support a wide range of research involving data and computation.  This includes consulting\, workshops\, and training designed to meet basic and advanced needs in data management and analysis\, as well as specialized support for areas such as remote sensing and geospatial analyses\, and a funding program for dataset acquisitions.  Many of these services are available free of charge to U-M researchers. \nThis event will begin with overview presentations about CSCAR and Library system data services.  There will also be opportunities for researchers to discuss individualized partnerships with CSCAR and UML to advance specific data-intensive projects.  Faculty\, staff\, and students are welcome to attend.
URL:https://micde.umich.edu/event/info-session-data-services-at-u-m-2/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Data Science,Info Session
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:20160921T170000
DTEND;TZID=UTC:20160921T180000
DTSTAMP:20230905T171442Z
CREATED:20230905T171442Z
LAST-MODIFIED:20230905T171442Z
UID:10000050-1474477200-1474480800@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. This year we will offer a new practicum option through the Multidisciplinary Design Program.\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.
URL:https://micde.umich.edu/event/graduate-studies-in-computational-data-sciences-info-session-central-campus-2/
LOCATION:2001 LSA Building\, 500 State St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Info Session
GEO:42.2761921;-83.7413068
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=2001 LSA Building 500 State St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=500 State St.:geo:-83.7413068,42.2761921
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160919T170000
DTEND;TZID=UTC:20160919T180000
DTSTAMP:20230905T171442Z
CREATED:20230905T171442Z
LAST-MODIFIED:20230905T171442Z
UID:10000051-1474304400-1474308000@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. This year we will offer a new practicum option through the Multidisciplinary Design Program.\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.
URL:https://micde.umich.edu/event/graduate-studies-in-computational-data-sciences-info-session-north-campus-2/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor\, 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 1221 Beal Ave. Ann Arbor MI United States;X-APPLE-RADIUS=500;X-TITLE=1221 Beal Ave.:geo:-83.7138452,42.2914823
END:VEVENT
END:VCALENDAR