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Date: January 30, 2024

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.

Date: January 30, 2024 

Description: This seminar, part of a series about machine learning offered by Information Technology, will provide an overview of the Naive Bayes technique which allows for classification in datasets with many features. The most common use is spam detection and document classification but it can do many things. 

Date: February 1, 2024 

Description: This seminar, part of a series about machine learning offered by Information Technology, will provide an overview of Convolutional and Deep Neural Networks (CNN and DNN) which are inspired by the way the brain works. The most common use is a computer vision and prediction tasks. 

Date: April 24, 2024

Description: Take your deep learning skills to the next level through transfer learning techniques. In this workshop, you will learn how to build new and leverage existing CNN models trained on datasets to develop powerful new applications. Using transfer learning, we will extract feature representations from pre-trained models like ResNet and VGG19 and re-purpose these features for related domains through fine-tuning. Understand how transfer learning helps CNN models generalize better with fewer training samples. Leave with the ability to develop advanced computer vision systems by building upon pretrained networks. Join us as we unveil transfer learning strategies that will benefit your deep learning projects and facilitate development of innovative visual AI solutions.
 

Register: Closed

Date: May 29, 2024

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 on CPU and GPU computing devices, you will get a deep understanding of how this advanced process deciphers the visual content of images and videos. Join us as we explore the intricacies of image inferencing, unveiling the transformative power it holds in discerning and categorizing visual information.
 

Date: June 5, 2024

Description: 

Behind the Clickbait: A Demo to Simplifying Systematic Reviews with a free and open source AI tool. Learn how to use ASReview to quickly classify articles.

Vincent Martin-Schreiber is currently pursuing his PhD under the guidance of Professor Jean-Laurent Domingue. His research focuses on examining the causal mechanisms leading to the diagnosis of borderline personality disorder from a critical realist viewpoint. Prior to entering the field of nursing, Vincent gained experience in the IT sector. His primary clinical nursing experience has been in mental health across France, Quebec, and Ontario. He holds a Master of Engineering from the University of Strathclyde in Scotland and a Bachelor of Science in Nursing Science from Sorbonne Université in Paris.
 

Date: September 25, 2024.

When: 1:00 p.m. - 2:30 p.m. 

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.

Date: October 30, 2024 

When: 9 a.m. - 4 p.m.  

Description: In this full-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.

Date: November 27, 2024

When: 10:30 a.m. - 12:00 p.m. 

Description: Writingscientific 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.

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.

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.

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. 

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.

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.

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.

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.

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.

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!

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.

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.

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.

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.

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.

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.

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.

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

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.