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DTSTART;TZID=America/New_York:20210119T110000
DTEND;TZID=America/New_York:20210119T120000
DTSTAMP:20260407T073437
CREATED:20210112T195522Z
LAST-MODIFIED:20210112T195522Z
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SUMMARY:CIS Seminar: “Hash Tables Lecture”
DESCRIPTION:Abstract: \nThe lecture that I will cover is going to be on Hash Tables. The lecture is designed for an introductory CS course and/or a data structures course. We are in the last 3rd of the semester when this topic is covered. At this point\, students are comfortable with programming (in Python). In addition\, they have some experience with complexity analysis in the context of the topics we have already covered in the course\, including iteration\, recursion\, various search and sort algorithms\, arrays\, and lists. \nThe lecture will discuss what hash tables are\, their importance\, and examples of their use in real life. We will then talk about what hashing is and how hash tables work. We will briefly discuss collisions\, what they are\, how to deal with them\, and why they are problematic. Lastly\, we will introduce dictionaries\, the hash table implementation in Python. The lecture will involve multiple active learning exercises and live coding.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-hash-tables-lecture/
LOCATION:Zoom – Email CIS for link\, cherylh@cis.upenn.edu
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210119T133000
DTEND;TZID=America/New_York:20210119T153000
DTSTAMP:20260407T073437
CREATED:20201210T150330Z
LAST-MODIFIED:20201210T150330Z
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SUMMARY:BE Doctoral Dissertation Defense: "Magnetic Resonance Imaging Assessment of Maternal Uteroplacental Hemodynamics During Pregnancy" (Eileen Hwuang)
DESCRIPTION:The Department of Bioengineering along with Drs. Walter Witschey and John Detre are pleased to announce the Doctoral Dissertation Defense of Eileen Hwuang. The public is welcome to attend via Zoom. \nTitle: “Magnetic resonance imaging assessment of maternal uteroplacental hemodynamics during pregnancy” \nZoom link\nMeeting ID: 745 723 0989\nPasscode: 526101
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-magnetic-resonance-imaging-assessment-of-maternal-uteroplacental-hemodynamics-during-pregnancy-eileen-hwuang/
LOCATION:PA
CATEGORIES:Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210119T150000
DTEND;TZID=America/New_York:20210119T160000
DTSTAMP:20260407T073437
CREATED:20210112T201534Z
LAST-MODIFIED:20210112T201534Z
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SUMMARY:2020 Heilmeier Award Lecture\, Dr. Dan Roth
DESCRIPTION:“It’s Time for Reasoning” \nThis event will take place via Zoom Webinar\, click here to join.\nPassword: 374986 \nThe lecture will be recorded and will be made available for viewing here.
URL:https://seasevents.nmsdev7.com/event/2020-heilmeier-award-and-lecture-rescheduled/
LOCATION:PA
CATEGORIES:Faculty
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210121T110000
DTEND;TZID=America/New_York:20210121T120000
DTSTAMP:20260407T073437
CREATED:20210120T184306Z
LAST-MODIFIED:20210120T184306Z
UID:10006596-1611226800-1611230400@seasevents.nmsdev7.com
SUMMARY:ODEI Spotlight: Penn Women's Center Open House
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/odei-spotlight-penn-womens-center-open-house/
LOCATION:PA
CATEGORIES:Diversity, Equity and Inclusion
ORGANIZER;CN="Office of Diversity%2C Equity and Inclusion":MAILTO:odei@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210121T150000
DTEND;TZID=America/New_York:20210121T160000
DTSTAMP:20260407T073437
CREATED:20201207T165909Z
LAST-MODIFIED:20201207T165909Z
UID:10006558-1611241200-1611244800@seasevents.nmsdev7.com
SUMMARY:BE Seminar: Deconstructing and Reconstructing Human Tissues (Kelly Stevens)
DESCRIPTION:This seminar will be held virtually on Zoom. Check email for details or contact ksas@seas.upenn.edu. \nAlthough much progress has been made in building artificial human tissues over the past several decades\, replicating complex tissue structure remains an enormous challenge. To overcome this challenge\, our field first needs to create better three-dimensional spatial maps\, or “blueprints” of human tissues and organs. We also need to then understand how these spatial blueprints encode positional processes in tissues. My group is developing new advanced biofabrication technologies to address both of these issues. Here\, I will describe some of our work in both attaining transcriptomic maps as well as in controlling spatiogenetic wiring of human artificial tissues.
URL:https://seasevents.nmsdev7.com/event/be-seminar-kelly-stevens/
LOCATION:PA
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210121T173000
DTEND;TZID=America/New_York:20210121T183000
DTSTAMP:20260407T073437
CREATED:20210121T202713Z
LAST-MODIFIED:20210121T202713Z
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SUMMARY:ODEI Spotlight: Power of Community: FGLI Program Learning Communities Info-Session
DESCRIPTION:Hosted by Greenfield Intercultural Center
URL:https://seasevents.nmsdev7.com/event/odei-spotlight-power-of-community-fgli-program-learning-communities-info-session/
LOCATION:https://upenn.zoom.us/j/96715197752
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210122T110000
DTEND;TZID=America/New_York:20210122T123000
DTSTAMP:20260407T073437
CREATED:20210119T175239Z
LAST-MODIFIED:20210119T175239Z
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SUMMARY:GRASP On Robotics: "Biorobotics for Personal Assistance - Translational Research and Opportunities for Human-Centered Developments"
DESCRIPTION:Abstract: The seminar will focus on the opportunities and challenges offered by the digital transformation of healthcare which was accelerated in the COVID-19 Pandemia. In this framework rehabilitation and social robotics can play a fundamental role as enabling technologies for providing innovative therapies and services to patients even at home or in remote environments.\nIn order to achieve a complete transition of research results and products we need efforts to support translational research and evidence-based protocols based on clinical trials and appropriate methodologies.\nRobotics and technologies can provide solutions for digital therapies and for assisting chronic patients in order to improve quality of life and their participation in activities\, meanwhile decreasing the burden for the society\, but biomedical engineers and roboticist should work towards the development of affordable and acceptable solution to reach the population at sustainable cost.\nCritical issues and future perspective will be presented in order to open the discussion with students and attendees. \nZoom Webinar Link: https://upenn.zoom.us/j/92242249880
URL:https://seasevents.nmsdev7.com/event/grasp-on-robotics-biorobotics-for-personal-assistance-translational-research-and-opportunities-for-human-centered-developments/
LOCATION:https://upenn.zoom.us/j/96715197752
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210122T140000
DTEND;TZID=America/New_York:20210122T150000
DTSTAMP:20260407T073437
CREATED:20210107T164858Z
LAST-MODIFIED:20210107T164858Z
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SUMMARY:PICS Colloquium: "Machine learning for Fluid Mechanics"
DESCRIPTION:Abstract: Many tasks in fluid mechanics\, such as design optimization and control\, are challenging because fluids are nonlinear and exhibit a large range of scales in both space and time. This range of scales necessitates exceedingly high-dimensional measurements and computational discretization to resolve all relevant features\, resulting in vast data sets and time-intensive computations. Indeed\, fluid dynamics is one of the original big data fields\, and many high-performance computing architectures\, experimental measurement techniques\, and advanced data processing and visualization algorithms were driven by decades of research in fluid mechanics. Machine learning constitutes a growing set of powerful techniques to extract patterns and build models from this data\, complementing the existing theoretical\, numerical\, and experimental efforts in fluid mechanics. In this talk\, we will explore current goals and opportunities for machine learning in fluid mechanics\, and we will highlight a number of recent technical advances. Because fluid dynamics is central to transportation\, health\, and defense systems\, we will emphasize the importance of machine learning solutions that are interpretable\, explainable\, generalizable\, and that respect known physics.
URL:https://seasevents.nmsdev7.com/event/pics-colloquium-machine-learning-for-fluid-mechanics/
LOCATION:PA
CATEGORIES:Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
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