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Workshops

Date: Tuesday, August 20, 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, August 20 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

Date: Wednesday, August 28, 2019
Time: 1:00pm - 4:00pm
Location: Robarts Library

As part of the graduation process, you will be submitting an electronic copy of your thesis or dissertation that will become publicly available online upon your convocation.

This workshop given jointly by the School of Graduate Studies and the Library staff will guide you through:

  • thesis formatting, submission, deadlines, and what happens next
  • your rights as an author and copyright considerations
  • publishing your thesis before or after graduation

The workshop will feature a thesis formatting clinic. If you would like to participate, please bring an electronic copy of your thesis. Desktop computers will be provided.

When: Wednesday, August 28, 1:00 PM - 4:00 PM

Where: Robarts Library, 4th Floor Electronic Classroom, Room 4033

GPS Credit: 1 (Research-Related Skills)

With any questions please contact Mariya Maistrovskaya, Digital Publishing Librarian at mariya.maistrovskaya@utoronto.ca

Date: Thursday, August 22, 2019
Time: 10:00am - 12:00pm
Location: Map & Data Library

This is a hands-on workshop that introduces the R statistical programming language using RStudio. The topics covered are reading, exploring, manipulating data and running some statistical tests. It is most suitable for new R users or users looking to review their knowledge in R.

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