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Research Commons - Workshops for graduate students & postdoctoral fellows

The Research Commons is pleased to offer you a range of workshops. Register for upcoming workshops. Search by date in our workshops calendar.

If you do not see the topic(s) you are interested in and/or would like a specialized workshop for yourself and a group of colleagues, send a request to research-commons@sfu.ca.

SFU values diversity and is committed to inclusion. If you believe you require any disability related accommodations in order to fully access and participate in our workshops and/or events, please contact us directly at library-workshops@sfu.ca. Please contact us as soon as possible as some accommodations will require lead time to arrange (i.e. CART, ASL)

All in a Day - Research Lifecycle

This is a suite of workshops for graduate students and postdoctoral fellows taking place at SFU Surrey on Saturday, September 30, 2017.

Next semester's workshops will be posted soon.

Digital Humanities

Next semester's workshops will be posted soon.

EAL/ESL

Next semester's workshops will be posted soon.

Learning

Next semester's workshops will be posted soon.

Research data management

De-identify data

De-identification enables sharing of data for secondary purposes. Changes may be made to the data and controls can be put in place to manage risk.

This workshop will introduce a risk-based methodology for de-identification that is appropriate for various academic disciplines. Topics include: in/direct identifiers, risk thresholds and measurement, plausible attacks, techniques (generalization, suppression, and subsampling), documentation, equivalence classes, and k-anonymity.

The workshop uses content from an eBook available through SFU Library:

Emam, K. E., & Arbuckle, L. (2013). Anonymizing Health Data: Case Studies and Methods to Get You Started. Sebastopol, CA, USA: O’Reilly Media, Inc. Retrieved from http://proquest.safaribooksonline.com.proxy.lib.sfu.ca/9781449363062

Upcoming Workshops

Dates Location
Thursday, December 14, 2017 - 1:30pm to 3:00pm Burnaby, Bennett Library, Rm 7010, Research Commons

What is the Open Science Framework (OSF)?

The OSF is a free, open-source web app that manages research projects at all stages of the research lifecycle. It is used for documentation, file storage, versioning, collaboration, and it connects the various tools researchers currently use. The OSF is produced by the Center for Open Science (COS) and has over 60,000 users across various academic disciplines. Attend the workshop to learn more and explore the OSF here: https://osf.io/

Upcoming Workshops

Dates Location
Monday, November 20, 2017 - 1:00pm to 2:00pm Burnaby, Bennett Library, Rm 7010, Research Commons

Big Data for the Worried, the Perplexed, and the Curious: How You Can Benefit From Data

You hear constantly about big data, but what does big data mean for you? How might it improve your organization’s performance or your team’s research outcomes? What does it take to implement a big data project? What are the risks involved? KEY, SFU's Big Data Initiative is excited to provide a workshop looking into the strategies and risks of incorporating modern data analysis methods into your own projects.

The workshop will focus on activities and outcomes rather than programming or math. Using big data for hands-on experience in which participants will use the material to identify opportunities that will elevate their own project. What you'll be able to take home is an outline for your first big data project!

Upcoming Workshops

Dates Location
Tuesday, November 21, 2017 - 9:00am to 1:00pm Burnaby, SFU's Big Data Hub (Applied Science Building - Flexible Meeting Room ASB 10908)

Research programming

Introduction to Bash: Learn to Use the Command Line

Scared of the command line? Overcome your feat and attend this introductory workshop on the Bash shell! You will learn how to navigate your file system and automate tasks to make your life easier.

Upcoming Workshops

Dates Location
Tuesday, November 21, 2017 - 3:00pm to 4:00pm Burnaby, Bennett Library, Rm 7010, Research Commons

What to do When Data Becomes Big Data

Ever wonder what to do when data becomes too big? Greg Baker will help you explore the tools used to manage data in Python in this half-day workshop. We will start with a review of Pandas, which can be used to handle small data sets. Then the majority of the time will be spent with Spark, a tool that can be used in Python to work with small data or incredibly large data. Finally, we will discuss how Spark can be used to manipulate data and how computation can be modified as data becomes truly "big."

Note: You will need to bring your own laptop with the Anaconda distribution of Python 3.6 installed. Closer to the workshop date, you will receive an email with final details/instructions.

Presenter: Greg Baker

Presenter Bio:  Greg is a Senior Lecturer in Computing Science at SFU. He teaches courses including an undergraduate course "Computational Data Science" and "Programming for Big Data 1" as part of SFU’s Professional Master’s Program in Big Data. He has also collaborated with several scientists to help them wrangle and make sense of their data.

Upcoming Workshops

Dates Location
Thursday, November 23, 2017 - 10:00am to 2:00pm Burnaby, SFU's Big Data Hub (Applied Science Building - Training Space ASB 10928)

Research software

Citation Management

Next semester's workshops will be posted soon.

GIS

Next semester's workshops will be posted soon.

Python

What to do When Data Becomes Big Data

Ever wonder what to do when data becomes too big? Greg Baker will help you explore the tools used to manage data in Python in this half-day workshop. We will start with a review of Pandas, which can be used to handle small data sets. Then the majority of the time will be spent with Spark, a tool that can be used in Python to work with small data or incredibly large data. Finally, we will discuss how Spark can be used to manipulate data and how computation can be modified as data becomes truly "big."

Note: You will need to bring your own laptop with the Anaconda distribution of Python 3.6 installed. Closer to the workshop date, you will receive an email with final details/instructions.

Presenter: Greg Baker

Presenter Bio:  Greg is a Senior Lecturer in Computing Science at SFU. He teaches courses including an undergraduate course "Computational Data Science" and "Programming for Big Data 1" as part of SFU’s Professional Master’s Program in Big Data. He has also collaborated with several scientists to help them wrangle and make sense of their data.

Upcoming Workshops

Dates Location
Thursday, November 23, 2017 - 10:00am to 2:00pm Burnaby, SFU's Big Data Hub (Applied Science Building - Training Space ASB 10928)

Qualitative Data Analysis

Next semester's workshops will be posted soon.

R (Software)

Next semester's workshops will be posted soon.


Linear Mixed-Effects and Generalized Linear Models in R

This two-day workshop will focus on linear mixed-effects and generalized linear models (GLMs) using the R programming language. We will begin with a refresher on interpreting linear regression under various data transformations and then move on to linear mixed-effects models and GLMs. More advanced topics will include standardizing predictors, group-level predictors, variance and correlation structures, and overdispersed GLMs. We will concentrate on practical elements such as choosing a modeling approach, the process of building and understanding a model, model checking, and plotting and interpreting model output.

 

By the end of the two-day workshop, you will be able to develop models using your own data and troubleshoot the main problems that arise in the process. You will also become familiar with two R packages for model fitting (lme4 and nlme) and R packages to help manipulate and plot your data and models (e.g. dplyr, ggplot2, broom).

 

Prior to taking this workshop, you should be reasonably comfortable with R and linear regression. Some background with dplyr and ggplot2 would be helpful, but participants can also complete some short tutorials before arriving to learn these packages.

* Please note that you will need to bring your own laptop with the appropriate software loaded. Closer to the workshop date, you will receive an email with final details/instructions.

Upcoming Workshops

Dates Location
Saturday, November 18, 2017 - 10:30am to 5:00pm
Sunday, November 19, 2017 - 10:30am to 5:00pm
Burnaby, Bennett Library, Rm 7200

Statistics

Next semester's workshops will be posted soon.

Visual Analytics

Next semester's workshops will be posted soon.

Scholarly communication

Next semester's workshops will be posted soon.

Writing

Graduate Open Writing Lab: Write Time, Write Space (drop-in)

The Graduate Open Writing Lab is for all graduate students who want the time and a quiet, dedicated space to work on their writing. A Graduate Writing Facilitator will be available for consultations and to answer questions.

Registration not required - please drop in!

Fall Semester 2017 [September 11 to December 1]

Note: Open Writing Lab will resume in the Fall semester starting September 11

Burnaby Campus
Graduate Open Writing Lab (Facilitated) - Mondays, 2:00 pm to 4:30 pm, SFU Burnaby, W.A.C. Bennett Library, Research Commons, Rm 7000
(no sessions on October 9 or November  13)

Vancouver Campus

Graduate Open Writing Space - Thursdays, 1:00 pm to 5:00 pm, SFU Vancouver, Harbour Centre, Rm 7400 (note: no Facilitator present)

Graduate Open Writing Lab - Fridays, 11:30 am to 2:30 pm, SFU Vancouver, Harbour Centre, Rm HC 7400 (Facilitated)

Workshops

Please register for the following writing workshops:

Write Conversations: Disseminating your Research: Graduate Student Publication

This workshop is focused on the challenges and opportunities associated with graduate student publication. We will begin with a discussion on audience, the peer review process and responding to criticism. We will then explore techniques and strategies for writing and revising papers for publication. Following this workshop is the Graduate Open Writing Lab; you are welcome to stay and work on your writing.

Upcoming Workshops

Dates Location
Friday, December 1, 2017 - 10:30am to 11:30am Harbour Centre, Rm 7400

Thesis Boot Camp

This multi-day boot camp is for SFU graduate students at both the PhD and Masters level, who are currently writing their thesis or dissertation.

Here's your opportunity to dedicate three days to making serious progress on your dissertation or master’s thesis. Along with a comfortable, quiet working environment, snacks and lunches, you will benefit from structured time, dedicated space, professional advising and peer support—all motivating factors in that final push towards completion of your dissertation or thesis.

Upcoming Workshops

Dates Location
Tuesday, December 5, 2017 - 8:30am to 5:00pm
Wednesday, December 6, 2017 - 8:30am to 5:00pm
Thursday, December 7, 2017 - 8:30am to 5:00pm
Burnaby, Bennett Library, Rm 7000, Research Commons

Thesis

Thesis Boot Camp

This multi-day boot camp is for SFU graduate students at both the PhD and Masters level, who are currently writing their thesis or dissertation.

Here's your opportunity to dedicate three days to making serious progress on your dissertation or master’s thesis. Along with a comfortable, quiet working environment, snacks and lunches, you will benefit from structured time, dedicated space, professional advising and peer support—all motivating factors in that final push towards completion of your dissertation or thesis.

Upcoming Workshops

Dates Location
Tuesday, December 5, 2017 - 8:30am to 5:00pm
Wednesday, December 6, 2017 - 8:30am to 5:00pm
Thursday, December 7, 2017 - 8:30am to 5:00pm
Burnaby, Bennett Library, Rm 7000, Research Commons

Thesis Template and Resources

This demonstration introduces you to the Thesis Submission process and the Thesis Template. It will begin with an introduction to required copyright permissions from the Copyright Office at SFU, followed by a review of the overall submission process (including deadlines and supporting documentation). Additionally, SFU Library's research data specialists will give instruction on how to preserve and, if appropriate, share research data for future uses.

The technical part of the workshop will follow, where you will be walked through the resources on the website and the functionality of the thesis template.

Students are encouraged to bring their own computer and thesis document(s) to work along with the facilitator during the workshop.

Learn how to:

  • request copyright permissions
  • write in the MS Word template-based file
  • format your text using styles
  • bring text in from other documents
  • insert figures, images, and auto-numbered captions
  • generate the Table of Contents, List of Tables, List of Figures, etc.

If you’ve begun writing, send your document to theses@sfu.ca in advance of the workshop; one might be used in demonstrating the Library’s thesis template. After the session, the formatted document will be returned in which the student can continue his/her work.

Upcoming Workshops

Dates Location
Wednesday, November 29, 2017 - 1:30pm to 3:30pm Burnaby, Bennett Library, Rm 7010, Research Commons