High-Performance Computing Courses at RCS

For University of Calgary researchers intending to leverage the HPC infrastructure for their research work and seeking customized sessions, please contact us at support@hpc.ucalgary.ca for further discussion.

To customize our courses according to your requirements, please furnish the following details at least four weeks in advance:

1. Specify the number of researchers to undergo training (minimum of 5 or more).
2. Share the domain of your research.
3. Let us know if you have a particular workflow or application in mind.
4. Inform us about the Linux background of the researchers; this information aids us in designing the course effectively.

Past courses offered by the Research Computing Services Team

Year 2023

• Nov 07, Nov 09. HPC intro training for BMEN 619.42 course by Singe Bray.

• Oct 31. ENSF 619.02 Ethan MacDonald (invited talk).

Parallel Models.

• May 01, 2023 - Grad Success Week (GSW) 2023 (invited by: Paul Pappin)

Data Analysis in R and Accessing Advanced Research Computing

• Jan 04, 2023 - Session for undergraduate bioinformatics students (invited by: David Anderson)

Introduction to High-Performance Computing Infrastructure at the University of Calgary

• Oct 10, 2023 - ENSF 619

Year 2022

• Nov 01. ENSF 619.02 Ethan MacDonald (invited talk).

Parallel Models.

• May 05, 2022- Grad Success Week (GSW) 2022 (invited by: Paul Pappin)

Data Analysis in R and Accessing Advanced Research Computing

• Jan 04, 2022- Block week 2022 by David Anderson (invited by: David Anderson)

Introduction to High-Performance Computing Infrastructure at the University of Calgary

• Oct 11, 2022 - ENSF 619

Year 2021

• Nov 02. ENSF 619.02 Ethan MacDonald (invited talk).

Parallel Models.

• May 05, 2021- Grad Success Week (GSW) 2021 (invited by: Paul Pappin)

Data Analysis in R and Accessing Advanced Research Computing

• Apr 22, 2021 - Centre for Health Informatics

Secure Computing on the MARC cluster

• Oct 21, 2021 - ENSF 619

Year 2020

• May 05, 2020- Grad Success Week (GSW) 2020 (invited by: Paul Pappin)

Data Analysis in R and Accessing Advanced Research Computing

Overview of the courses we offer

Introduction to Bash and Linux - Basic

I. Understanding the Command Line Interface (CLI)

• Overview of CLI vs. Graphical User Interface (GUI)
• Importance of CLI in Bioinformatics and Data Science

II. Getting Started with Bash

• Opening the Terminal
• Basic Shell Commands

III. File and Directory Manipulation

• Creating and Deleting Files/Directories
• Copying and Moving Files/Directories
• Understanding Permissions (chmod)

IV. Text Processing with Bash

• cat, head, and tail commands
• grep for pattern matching
• Redirection and Pipelines

V. Basic Scripting

• Creating and Executing Bash Scripts
• Variables and Basic Control Structures
• Introduction to Functions

Introduction to Bash and Linux - Advanced

I. Advanced Text Processing

• Regular Expressions
• Text Manipulation

II. Shell Scripting Best Practices

• Error Handling and Logging
• Command-Line Arguments
• Debugging Techniques

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