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X-ORIGINAL-URL:https://statistics.sciences.ncsu.edu
X-WR-CALDESC:Events for Department of Statistics
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DTSTART:20241103T060000
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DTSTART:20250309T070000
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DTSTART:20260308T070000
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DTSTART;TZID=America/New_York:20251107T110000
DTEND;TZID=America/New_York:20251107T120000
DTSTAMP:20260504T170854
CREATED:20251020T174839Z
LAST-MODIFIED:20251031T142221Z
UID:28868-1762513200-1762516800@statistics.sciences.ncsu.edu
SUMMARY:Statistics Seminar
DESCRIPTION:Location: 2203 SAS Hall\, NC State Main Campus \nTitle: Cracking the Code of the Unknown Virosphere: Detecting the Undetectable. \nPresenter:  Bonnie Hurwitz (BRC-NCSU) \nAbstract: Viruses are the most abundant biological entities on Earth and infect all major clades of life\, including bacteria\, archaea\, and eukaryotes. During infection\, viruses can influence host biology\, evolution\, and ecosystem dynamics; however\, 90% of viral DNA in natural communities is unknown\, limiting our understanding of host\, bacterial\, and viral interactions in diverse ecosystems. To explore these novel viral communities\, we are developing new tools and methods using machine learning and natural language processing to examine and interrelate viral and microbial communities with their environmental contexts in unprecedented depth and detail. Here\, I describe work in my lab to develop new capabilities in (i) viral sequence detection using composition-based pattern detection and machine learning\, and (ii) emerging biological stories in how we are using these tools to find novel viruses in the gut microbiome. These new approaches provide exciting avenues to find novel viruses and explore their interactions with diverse hosts and ecosystems without being limited to the known fraction of the viral population.
URL:https://statistics.sciences.ncsu.edu/event/statistics-seminar-43/
LOCATION:2203 SAS Hall
CATEGORIES:College of Sciences Calendar,Department,Seminars
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251114T100000
DTEND;TZID=America/New_York:20251114T120000
DTSTAMP:20260504T170854
CREATED:20251020T175034Z
LAST-MODIFIED:20251020T175034Z
UID:28870-1763114400-1763121600@statistics.sciences.ncsu.edu
SUMMARY:Statistics Student Poster Session
DESCRIPTION:
URL:https://statistics.sciences.ncsu.edu/event/statistics-student-poster-session/
LOCATION:5104 Commons
CATEGORIES:College of Sciences Calendar,Department,Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251114T120000
DTEND;TZID=America/New_York:20251114T160000
DTSTAMP:20260504T170854
CREATED:20251028T175031Z
LAST-MODIFIED:20251028T175537Z
UID:28887-1763121600-1763136000@statistics.sciences.ncsu.edu
SUMMARY:Professional Development Workshop
DESCRIPTION:Databricks + NCSU Student Exchange \n\nJoin us on Nov 14th at 12pm in SAS Hall 1216 for some pizza and an afternoon with Databricks. \nDatabricks will be in Raleigh providing an exchange of information and ideas on how the market is being driven by an increased usage of  Data and AI.  We invite students interested in building a career in data\, analytics\, machine learning\, AI or otherwise\, to join the forum: \n– to better understand the market growth \n– how to build a competitive curriculum for potential employment\, \n– what is available from the school \n– what is free and available to use. \nAdditionally\, we will discuss the “Art of the Possible” with Data and AI with how that is changing the world for us as data consumers and data providers.  We encourage students to actively engage in an interactive Q&A with the Databricks team for the best understanding possible. \n\n++++\n\n\n\n\nTime\nActivity \n\n\n12:00 – 1pm\nLunch and Networking\n\n\n  \n1 – 1:45 pm\n  \nDatabricks Overview & Data and AI Market Potential\n\n\n  \n2 – 2:30 pm\n  \nWhat makes a good Data and AI employee candidate?\n\n\n  \n2:30 – 3:15 pm\n  \nHow to structure a career with a Data and AI trajectory with live Q&A\n\n\n3:15 – 4pm\n  \n  \n  \nWhat is available now for the students \n  \n\nEnrolling in Free Edition\nWhat is available in the FSU catalog and how can that be extended via the UA and Databricks Catalog\nReviewing the Catalog
URL:https://statistics.sciences.ncsu.edu/event/professional-development-workshop-3/
LOCATION:1216 SAS Hall
CATEGORIES:College of Sciences Calendar,Department,Graduate,Undergraduate
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251117T170000
DTEND;TZID=America/New_York:20251117T183000
DTSTAMP:20260504T170854
CREATED:20251106T143441Z
LAST-MODIFIED:20251106T143441Z
UID:28903-1763398800-1763404200@statistics.sciences.ncsu.edu
SUMMARY:November Professional Development Workshop
DESCRIPTION:Professional Development Workshop – November Session\nExploring Graduate School in Statistics: Programs + Student Panel\n📅 Date: Monday\, November 17\, 2025⏰ Time: 5:00 – 6:30 PM📍 Location: SAS Hall 2229💻 Virtual Option: https://go.ncsu.edu/stat.pdw✅ Hybrid Event — Attend in person or join via Zoom \n\nJoin us for this month’s Professional Development Workshop\, co-sponsored by the Department of Statistics and the Statistics Club. This special session will feature two parts: \n1. Information Session: Statistics Graduate Programs\nHear from Dr. Stallrich and Dr. Jeng\, who will provide an overview of the graduate programs they oversee. They will share key details about program structure\, opportunities\, and what students can expect in their graduate studies. \n2. Grad Student Panel: The Transition from Undergrad to Graduate School\nFollowing the information session\, we’ll host a panel conversation with current graduate students who will discuss their experiences moving from undergraduate study into graduate programs.The Q&A will be moderated\, with time for open questions from attendees. \nThis is a great event for anyone considering graduate studies in Statistics or wanting to learn more about life as a graduate student. \nWe hope you’ll join us—either in person or online!
URL:https://statistics.sciences.ncsu.edu/event/november-professional-development-workshop/
LOCATION:2229 SAS Hall
CATEGORIES:College of Sciences Calendar,Department,Graduate,Undergraduate,University
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20251126
DTEND;VALUE=DATE:20251127
DTSTAMP:20260504T170854
CREATED:20250203T180502Z
LAST-MODIFIED:20250203T180502Z
UID:27777-1764115200-1764201599@statistics.sciences.ncsu.edu
SUMMARY:No Classes - Holiday
DESCRIPTION:
URL:https://statistics.sciences.ncsu.edu/event/no-classes-holiday-11/
LOCATION:NC
CATEGORIES:Department,Faculty,Graduate,Undergraduate,University
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20251127
DTEND;VALUE=DATE:20251128
DTSTAMP:20260504T170854
CREATED:20250203T172924Z
LAST-MODIFIED:20250203T172924Z
UID:27738-1764201600-1764287999@statistics.sciences.ncsu.edu
SUMMARY:University Closed - Holiday
DESCRIPTION:
URL:https://statistics.sciences.ncsu.edu/event/university-closed-holiday-40/
LOCATION:NC
CATEGORIES:Department,Faculty,Graduate,Undergraduate,University
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20251128
DTEND;VALUE=DATE:20251129
DTSTAMP:20260504T170854
CREATED:20250203T173035Z
LAST-MODIFIED:20250203T173035Z
UID:27740-1764288000-1764374399@statistics.sciences.ncsu.edu
SUMMARY:University Closed - Holiday
DESCRIPTION:
URL:https://statistics.sciences.ncsu.edu/event/university-closed-holiday-41/
LOCATION:NC
CATEGORIES:Department,Faculty,Graduate,Undergraduate,University
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