Date: January 31, 2023

Description: 
Would you like to use hundreds of CPU cores or GBs of memory? Can’t fit your calculations on a single computer? Do you want your software to be able to scale without limits? Then distributed computing might be for you! Especially on the Alliance clusters this can make your program much faster.

We will explore the Message Passing Interface (MPI) which let processes talk to each other. We will be using C++, but the same concepts work on Python, Java, Fortran, etc. as well.

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Date: February 28, 2023

Description: 
Certain kinds of algorithms consists of doing the same calculations on a lot of data points. For example, particle simulations or matrix manipulations.

These are the kind of things the GPUs excel at since its closely related to what they were originally designed for, manipulating pixels quickly. However, a GPU has its own memory (multiple types even!) and processors, so for best performance that needs to managed.

In this seminar, we will demonstrate how to get started on GPU programming.

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Date: March 15, 2023

Description: 
This is the first of two sessions. This first session introduces coding-free means of data-scraping with hands-on exercises to learn about browser tools and scraping with Google sheets. It will also provide a brief overview of the legal and ethical context of data scraping. Additional tools for web scraping such as paid scraping software and browser extensions will be discussed. 

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Date: March 16, 2023

Description: 
This is the second of two sessions. This second session introduces obtaining data programmatically using Python and Jupyter notebooks. Participants will learn how to scrape and parse data using HTML requests and Python libraries and output the data to Excel. Then, participants will learn how to obtain data from YouTube via an API provided through Google Developer accounts.

Registration closed.

Date: April 25 and April 26, from 1 p.m. to 4 p.m. 

Description: R language is very powerful and can do many things. Since this workshop is limited to a two-day timeslot, we will primarily focus on data analysis using tidyverse and ggplot2.

Registration: Register now!

Date: May 24, 2023 from 1:00 PM to 2:30 PM

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.

Registration: Register now!

Date: June 27, 2023 1:00 PM to 2:30 PM

Description: 

Visualization of data is usually one of the most important steps when interpreting the data and also for conveying the results. In this seminar, 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 hundred, you will want some automation to help you.

Registration: Register now!

Writing scientific material is not easy. There is a need to cite other materials, incorporate plots and figures and reference those from the main text and depending on the field it might require complicated mathematical formulas or diagrams.

Fortunately, LaTeX is designed for just that but it has a reputation for a steep learning curve. In this seminar, we'll go over the basics to get you started.

Registration: Register now!

Have you ever wanted to learn how to make your own interactive map? Maybe for a class assignment, project, or even for something you are passionate about? Come join us in this hands-on session to explore the evolving world of GIS and get introduced to ArcGIS Online, the leading web GIS platform.

Find out how to set up your free institutional ArcGIS Online account, see what default permissions you are entitled to as a member of the University of Ottawa community, learn about recent updates to the interface and tools, and create your own interactive map. No previous experience required!

Registration: Register now!

Date: September 20, 2023 1:00 PM to 2:30 PM

Description: 

Machine learning algorithms thrive on high-quality data. Therefore, the significance of clean data cannot be overlooked. In this program, we'll uncover strategies for managing missing or potentially inaccurate data points. Subsequently, we'll delve into the initial steps of machine learning by implementing the fundamental linear regression algorithm.

This is part one out of five of the series.

Registration: Register now!

Date: September 27, 2023 1:00 PM to 2:30 PM

Description: 

Machine learning algorithms thrive on high-quality data. Therefore, the significance of clean data cannot be overlooked. In this program, we'll uncover strategies for managing missing or potentially inaccurate data points. Subsequently, we'll delve into the initial steps of machine learning by implementing the fundamental linear regression algorithm.

This is part two out of five of the series.

Registration: Register now!

Date: October 4, 2023 1:00 PM to 2:30 PM

Description: 

In this program we will touch on how this algorithm's specialty lies in evaluating the distance between newly acquired data and existing reference points. By gauging these closeness metrics, it efficiently assigns new data to appropriate categories.

This is part three out of five of the series.

Registration: Register now!

Date: October 11, 2023 1:00 PM to 2:30 PM

Description: 

Support vector machines are part of the supervised machine learning algorithm. It uses lines or surfaces called hyperplanes to divide data into different groups. Each divided area represents a specific category for the data.

This is part four out of five of the series.

Registration: Register now!

Date: October 18, 2023 1:00 PM to 2:30 PM

Description: 

Delve into the realm of image interpretation through the remarkable technique of image inferencing. Through building and deploying high-performance inferencing applications using convolutional neural networks, you will get a deep understanding of how this advanced process deciphers the visual content of images. Join us as we explore the intricacies of image inferencing, unveiling the transformative power it holds in discerning and categorizing visual information.

This is part five out of five of the series.

Registration: Register now!

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.

Watch the recording

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.

Watch the recording

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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