Introduction to Parallel Programming with Python using MPI

Parallel programming is key in High Performance Computing. It allows us to run big jobs in a timely manner and leverage a cluster’s resources. In this workshop, you will learn about parallelization, how to write parallel programs, and run them on a parallel system. MPI (Message Passing Interface) will be used in combination with Python.

Important Note: Registration closes on October 25, 2023.

Workshop Prerequisites:

Python programming + familiarity with introductory level HPC

This interactive course is an introduction to the world of Machine Learning (ML). It discovers some supervised learning algorithms and discusses when and how to use them. It begins by introducing the data pipeline and its processes, before moving on to statistical and visualization approaches to conduct exploratory and descriptive analytics on data in an effort to answer the question “what happened in the past?”. From there, you will explore the art of data preparation, including data cleaning, missing values, outlier detection, and feature transformation and engineering. Next, we will introduce predictive analytics to answer the question “What will happen in the future?”. We will cover techniques for classifying and predicting data for the supervised learning algorithm, such as k-NN, Naïve Bayes, Decision Tree and Random Forest, and provide guidance in deciding which ones to use. Finally, participants will learn about statistical evaluation methods used in comparing the performance of predictive modelling techniques. This course balances theory and practice. You will use practical concepts of ML applications to understand real-world situations. Topics include Data preparation, ML theory, ML process, ML algorithms, and Model evaluation.

Workshop Prerequisites:

Python programming + understanding of data preparation

This course is designed to provide you with a solid foundation in Python programming language. Through a comprehensive curriculum and hands-on coding exercises, you will learn the fundamentals of Python syntax, data types, functions, and working with data.

By the end of the course, you will have gained the essential skills to write Python programs, solve problems, and build the foundation for more advanced Python development. Whether you are a beginner or have some programming experience, this course will equip you with the necessary tools to start your journey in Python programming.

This introductory course offers you a comprehensive introduction to the field of bioinformatics and its applications in analyzing biological big data. You will gain experience utilizing bioinformatics tools and techniques within an HPC environment, including the CAC’s HPC platform, Frontenac, and the other resources available throughout the national compute ecosystem of the Digital Research Alliance of Canada.

By the end of the course, you will have the necessary skills to effectively navigate and analyze biological data using bioinformatics approaches, enabling you to uncover meaningful insights and contribute to advancements in the field of life sciences.

Important Note: Registration closes on October 11, 2023.

Workshop Prerequisites:

Basic Unix/Linux competence + basic knowledge of bioinformatic methods

Be aware • Stay secure

Join us to learn more about the tools you can use to prevent the theft of your data and possibly of your identity. Other topics of discussion will include common hacking attempts, how to recognize them, and how to avoid having your data compromised, stolen, or lost. We will also talk about data encryption and provide tips for when travelling with electronic devices.