Gerstein Science Information Centre |

KEY SCIENCE & HEALTH SCIENCE DATABASES

Subject-Specific

Multidisciplinary

Scopus

Web of Science

Clinical Tools

More Databases

USING THE LIBRARY

FEATURES

Bates' Visual Guide to Physical Examination

The Bates’ Visual Guide to Physical Examination provides a series of clinical skills videos demonstrating head-to-toe and systems-based physical examination techniques.

Dream about having your own startup?

Check out our entrepreneurship guide, services, & workshops! Topics include market research, business plans, funding and more.

Borrow and test-drive VR equipment and apps!

Borrow VR equipment for home from the Short Term Loans Desk, or develop & test your apps in the studio at the MADLab! More info: http://uoft.me/virtualreality

Drop by The Gerstein Book Stop

Fiction books now available to borrow from our leisure reading collection. Mystery, Romance, SciFi, Thrillers & more

How to Find a Journal or Journal Article

WORKSHOPS

3D Printing Safety Training - MADLab

Date: Tuesday, June 25, 2019
Time: 3:10pm - 4:00pm
Location: Gerstein Library

Learn how to safely operate the Makerbot Replicator 2 3D printers. You must complete this safety training session before you can use our 3D printers.

3D Printing Safety Training

Date: Tuesday, June 25th 3:10pm - 4:00pm

Location: MADLab, Gerstein Science Information Centre, 1 Below, room B112

Presenters: Erica Lenton, Gerstein Librarian & Mike Spears, MADLab Manager

What's Covered:

- overview of 3D Printing @ Gerstein + MADLab policies & guidelines for use

- instructions for safe & effective use of the 3D printers

- how to prepare a 3D design file for printing

- basic design principles

Questions?

Send your questions to gerstein.3Dprinting@utoronto.ca or visit our website at: http://guides.library.utoronto.ca/3dprinting

Exploratory Data Analysis Using Python

Date: Thursday, June 27, 2019
Time: 10:00am - 12:00pm
Location: Map & Data Library

This is a hands-on workshop in Python that covers reading, describing, and manipulating data, as well as conducting basic summary analyses, using the pandas package and Jupyter Notebooks. Workshop attendees do not need any experience with programming or Python/pandas, but must be familiar with tabular data and have a basic understanding of different types of data (quantitative/qualitative variables).

We will be using installed software on Windows computers in the MDL Lab and a sample data set that includes categorical, binary, string, and numerical data.

Location: Robarts Library, 5th Floor, Map & Data Library Computer Lab - Room 5-053 (directly across from the elevator)