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Mar
26

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Paul V. Galvin Library, Library Learning Center 35 West 33rd Street, Chicago, IL 60616

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Citing sources properly can be confusing. This workshop will cover the why, when, where, and how of citing your sources. This event is open to Illinois Tech undergraduate and graduate students.

Mar
26

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PS 111

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Speaker: Christopher Orban, assistant professor Ohio State University Description: TBD

Mar
26

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Women—especially in science, technology, engineering, arts, and math (STEAM) fields—are notoriously underrepresented on Wikipedia, the most-used information website. Wikipedia edit-a-thons are events...

Mar
25

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Stuart Building, Room 111 10 West 31st Street, Chicago, IL 60616

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This event is open to all Illinois Tech faculty and students. Abstract As machine-learning models are playing increasingly important roles in many real-life scenarios, interpretability has become a...

Mar
24

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Paul V. Galvin Library, Learning Center/Lower Level 35 West 33rd Street, Chicago, IL 60616

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Research databases are different from Google—the databases provide many more options for power searching. In this workshop, you’ll learn how to get the most out of research databases, including...

Mar
24

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MTCC Ballroom

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Due to the recent COVID-19 outbreak, the Women’s History Month Panel Discussion and Luncheon on March 24 has been canceled. Every member of the Illinois Tech community is invited to join the Illinois...

Mar
21

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IIT Tower Auditorium, 10 West 35th Street

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In recognition of Women's History Month, the Illinois Tech Office of Community Affairs and the League of Women Voters Chicago present Essence McDowell for a dynamic talk about the lives of Black women...

Mar
12

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Downtown Campus, 565 W. Adams Street, Chicago

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Take your career to the next level with graduate programs at Stuart School of Business! Stop by on Thursday, March 12, 2020 at 5:30–6:30 p.m. to learn more about Illinois Tech’s unique Accelerated M.B...

Mar
12

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to

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Stuart Building, Room 111 10 West 31st Street, Chicago, IL 60616

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This event is open to all Illinois Tech students and faculty. Abstract Modern machine learning, especially deep learning, faces a fundamental question: How to create models that efficiently deliver...