Come have breakfast, discuss with us your projects, and take care of any research to-do list items. We’ll have engineering librarians as well as representatives from NYU Data Services who can help get you (re)oriented to our resources, get you started with citation management tools, and help you get the most out of our collections and services. This informal event is taking place from 9:30am – 11:00am. You can come and go as you like during that time.
Dibner Library Graduate Student Research Breakfast
Thursday, February 2, 2017 Dibner Library LC 400
A brief session featuring information about access, ease of use, and features of six statistical analysis programs: SPSS, Stata, SAS, R, and MATLAB
For more information and to register: What Statistical Software to Use?
In this library workshop, intended to help you make the most of the Engineering and Technology Career Fair, we will investigate career resources available through the library. Learn how to find information about potential employers, companies and their competitors, industry outlook, job outlook, potential careers and how you fit in. Choose from two time slots below. To register:
Get Hired: Career Resources for Engineering Students – Tuesday, January 31 at 3PM
Get Hired: Career Resources for Engineering Students – Wednesday, February 1, at 11AM
Do you have trouble reading your notes after class? Are you trying to write a scientific paper, but find it difficult to use Word? This workshop will introduce the LaTeX environment and provide helpful resources for new and experienced users.
To register: Intro to LaTeX
MATLAB is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numerical computation. This introductory tutorial is designed to cover the basics of getting started with MATLAB as well as demonstrate some of the capabilities of MATLAB.
For more information and to register: Getting Started with MATLAB
The popularity of social media and the 24 hour news cycle have helped create avenues for fake and sensationalized news to prosper not only in the realms of journalism and politics, but throughout the sciences as well. It is important that people understand how to differentiate between real, sensationalized, and false news in both their day to day lives and their academic lives. At this workshop we will consider the problem of fake and sensationalized news inside and outside of science. The workshop aims to equip participants with an understanding of how to recognize, avoid, and combat fake news and false science.
To register: Real or Fake?: How to spot fake news and fake science