Date: January 18, 2022

Description: 

This seminar in a series offered by Information Technology will provide an overview of high-performance computing (HPC). An invaluable tool in today's research, it enables to do massive simulations and crunch large amounts of data.

Jarno van der Kolk will introduce Compute Canada. It offers access to hundreds of thousands of CPUs, thousands of GPUs and petabytes of disk space for your research. We will also discuss SOSCIP which provides priority access to their own system.

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Date: September 8, 2022

Description: This seminar in a series offered by Information Technology will provide an overview of high-performance computing (HPC). An invaluable tool in today's research, it enables to do massive simulations and crunch large amounts of data.

Jarno van der Kolk will introduce the Digital Research Alliance of Canada. It offers access to hundreds of thousands of CPUs, thousands of GPUs and petabytes of disk space for your research. We will also discuss SOSCIP which provides priority access to their own system.

The first hour will be a introduction to the available resources and the second hour will be hands-on.

The seminar is in English and French questions will be welcomed. Contact us if you need more information.

Registration:  Registration closed

Date: October 17-21, 2022

Description: Programs created with C++ are much faster than similar programs in pure Python or JavaScript for example. Factors of 50 are not unheard of.

The cost for this is that C++ is harder to master and that is what this bootcamp is for. This workshop will get you up and running quickly with C++ programming. We will look at setting up your environment, revision control with Git, developing and dissecting basic C++ programs while covering coding best practices.

You'll start at the beginning and learn basics before diving deeper into more advanced topics. The essentials will be reviewed - statements and expressions, variables, conditionals, operators, loops, and functions. More complex topics will also cover data structures, classes and objects, and error handling. The Standard Template Library (STL) will also be introduced as a precursor to optimizing and improving performance of your code.

For this workshop, we will be using Visual Studio Code (https://code.visualstudio.com/). Please make sure you have it installed. We will compile and run our code on a remote cluster so that everyone is on the same platform.

There will be five morning sessions running from 17 to 21 October. Each morning will be from 9:00 to 12:00

Registration: Registration closed

Date: November 22 and 23, 2022

Description: In this two-day workshop you will learn how to use Python for data visualization and manipulation. We will also discuss the basic building blocks for creating Python programs.

Registration: Registration closed

Date: November 29 and 30, 2021

Description: 

Full day workshop on Python, a programming language for scientific computing. Data science is the study of approaches for extraction of knowledge and information from data. This workshop will introduce participants to the Python as a tool to rapidly process your collected data; from the basics to more advanced techniques.

The workshop will cover:

• Basics of Python programming
• Data types, data cleaning and data management
• Exploratory data analysis and visualization
• Reproducible research with Jupyter notebooks

Registration: Closed

Date: November 1, 2021

Description: The D3.js framework offers the more interactive ways of sharing data. In this second part of the Data Visualization workshop, we’ll explore how the D3.js framework can be used to create web-accessible interactive visualizations. These are dynamically generated webpages that can be part of your website. It will load data from a source you specify to generate visualizations you fully control so you can tell your story.

Registration: Closed

Date: October 27, 2021

Registration: Closed

Date: September 28, 2021

Description: 

NVivois a great qualitative data analysis tool to describe, evaluate and interpret social phenomena. Analyze data from interviews, surveys, field notes, web pages and journal articles.NVivoallows you to organize, analyze and visualize your data, finding the patterns it contains.

Learn more in this introductory webinar. A more in-depth training session will follow a week later in both languages.

Registration: Closed

Date: September 27, 2021

Description: Visualization of data is usually one of the most important steps when interpreting the data and for conveying the results. In the first part of the Data Visualization workshop series, we’ll use Gephi to investigate visualizing networks. For example, these can be networks of people and how they are connected to each other. While this can be done manually for a few dozen people, when you get to a few hundreds, you will want some automation to help you.

Registration: Closed

Date: June 16, 2021

Description: 

Scholar’s Portal Dataverse is a publicly accessible, secure, multi-disciplinary, multi-lingual repository for research data, searchable from anywhere in the world with servers hosted in Canada. Developed at Harvard University, this repository platform includes features such as permanent links (DOIs) that encourage citation of your data set and help you to set licensing terms for access and reuse of use of your data.

In this session, we will explore best practices for organizing your research data for sharing, DOIs and data citation. We will discuss the importance of curating data throughout your project to meet FAIR guidelines when sharing your data using Dataverse.

Registration: Closed

Date: June 8, 2021

Description: 

Full day workshop on Python, a programming language for scientific computing. Data science is the study of approaches for extraction of knowledge and information from data. This workshop will introduce participants to the Python as a tool to rapidly process your collected data; from the basics to more advanced techniques.

The workshop will cover:

• Basics of Python programming
• Data types, data cleaning and data management
• Exploratory data analysis and visualization

Registration: Closed

Date: April 7, 2021

Description: The Web has become a source of data for daily and scientific research. Although there are many initiatives to facilitate data exchange, most of the Web content are written in plain HTML. This workshop will introduce the Python way from simple to advanced to scrape web data in a standard format like CSV, XML, and JSON and how these techniques can be applied to daily work and research.

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Date: March 10, 2021

Description: Have you ever wanted to map data from an Excel spreadsheet? Here, we will examine how to take data from a spreadsheet and put it into a map in ArcGIS Online. We will also explore useful tips and recommendations when it comes to file naming, data massaging, and data storage. No previous experience is required!

Registration: Closed

Date: February 24, 2021

Description: Learn more about the Information Technology resources that support your daily communications, production of classroom materials, and technology needs. We will also provide an overview of the support we provide to researchers, including our state-of-the-art Colocation Data Centre for your research hosting needs. Information Technology provides strategic leadership for technology initiatives at the University in addition to face-to-face, phone and electronic support for IT-related questions.

Registration: Closed

Date: February 10, 2021

Description: The Web has become a source of data for daily and scientific research. Although there are many initiatives to facilitate data exchange, most of the Web content are written in plain HTML. This workshop will introduce web scraping of scrape web data into Excel and Google Sheet and how these techniques can be applied to daily work and research.

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Date: January 20, 2021

Description: Interested in learning more about Research Data Management (RDM)? Come and discover best practices in RDM and what services exist at uOttawa to help you meet the Tri-Agency’s upcoming RDM Policy.

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