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Mathematical Sciences Library

Mathematical Sciences Library

40 St George Street, Rm 6141
Bahen Centre for Information Technology
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Request a research consultation
U of T students, faculty and staff may book appointments to discuss research questions and search strategies.
Why Measure Research Impact?
Measuring how your research impacts a field or discipline and how it impacts the world around you can:
  • Help support your application for tenure or promotion
  • Strengthen a research grant application
  • Identify how your research is being used
  • Connect you with potential collaborators
Read more about evaluating your research impact on our Research Impact guide.
Research Data Management
Need help managing and preserving your research data? We can help you organize, visualize and share your data. Read more on the Research Data Management and Data Visualization guides.
For help with your research, contact the Math Library.

From our collection

Mathematics in civilization /
Probabilities : the little numbers that rule our lives /
Handbook of graph drawing and visualization /
Genius at play : the curious mind of John Horton Conway /


Date: Tuesday, June 25, 2019
Time: 3:10pm - 4:00pm
Location: Gerstein Library
Campus: St. George (Downtown) Campus

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


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

Date: Thursday, June 27, 2019
Time: 10:00am - 12:00pm
Presenter: Lise Doucette and Nich Worby
Location: Map & Data Library
Campus: St. George (Downtown) Campus

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)