NYU Bern Dibner Library News

News and Updates for the NYU Bern Dibner Library

Dibner Workshop #20 Beyond Google: Electrical & Computer Engineering Research

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In this session, intended for graduate students, we will explore various databases and resources with an emphasis on Electrical & Computer Engineering Research. We’ll concentrate on how and where to use key tools, how to be most efficient and effective in your searching, and how to create systems and workflows that support your work. By becoming adept at these three things, you’ll have more time and energy to concentrate on the content of your work. 

These techniques will be useful for researchers of all science disciplines, not just Electrical Engineering or Computer Engineering students. 

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Dibner Workshop #19: Tales from the Patent Experience

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How does your innovation become a patent?  Learn from our panel of experts including: Professor Michael Knox, Engineer in Residence in the Department of Electrical and Computer Engineering and inventor on 13 U.S. patents; Christopher Snyder, Business Development Manager for NYU’s Office of Industrial Liaison; and Anne Hassett, executive director of NYU Law’s Engelberg Center on Innovation Law and Policy. This event will also feature student representatives from Patent Pending, Design for America, and the Entrepreneurship & Innovation Association and student moderator Chandrika Khanduri.

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Dibner Workshop #18: Getting Started with Geographical Information Systems / Mapping Tools

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In this session we will provide an introduction to the range of Geographical Information System (GIS) platforms and resources supported by the GIS team within Data Services including ARCGIS, QGIS, and Carto.

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Dibner Workshop #17 Big Data Tutorial: MapReduce

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This class will provide a brief overview of what Hadoop is and the various components that are involved in the Hadoop ecosystem. There will be a hands on showcase for the users on how to use the dumbo(Hadoop) cluster to run basic map-reduce jobs. Various hands on exercises have been incorporated for the users to get a better understanding. Please bring your laptop to this workshop as it is intended to be a practical hands-on session. 
 
The pre-requisites of this class:
2. The user needs to have a basic knowledge of Unix and Java/python.
 
 

Dibner Workshop #16 Beyond Google: Mechanical Engineering Research

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In this session, intended for graduate students, we will explore various databases and resources with an emphasis on Mechanical Engineering Research. We’ll concentrate on how and where to use key tools, how to be most efficient and effective in your searching, and how to create systems and workflows that support your work. These techniques will be useful for researchers of all science disciplines, not just Mechanical Engineering students. 

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Dibner Workshop #15: Intro to R

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An introduction to R, the open source data analysis package. Topics include: installing R, creating and editing data sets, computing and re-coding variables, basic commands and some of the fundamentals of programming.

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Dibner Workshop #14: Data Extraction & Management Using Python

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Learn how to extract and manage data from text and HTML files, interface with the web, and perform search functions on large datasets using introductory Python techniques. No prior knowledge of Python necessary. Bringing a laptop is recommended. 

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Dibner Workshop #13: Business Data Analytics

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Attend this workshop to learn about about business resources and databases. Learn how business professionals find statistical data and information to make decisions. By the end of the session, you will be able to find company & financial Information, industry-specific resources, economic and statistical data, marketing information, and country information. 

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Dibner Workshop #12: Data Extraction and Management Using Python

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Learn how to extract and manage data from text and HTML files, interface with the web, and perform search functions on large datasets using introductory Python techniques. No prior knowledge of Python necessary. 

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Dibner Workshop #11: Opening Your Research Using GitHub & the Open Science Framework

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There is increasing pressure from top journals and grant agencies to include supporting research data at time of publication, however the burden of storage and accessibility often falls to the researcher. This session will cover how you can use GitHub and the Open Science Framework to open up your research, as well as connect your publications with the corresponding data. 

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