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May,2024
21 May 11:00 am 12:00 pm

DAT112: Lecture 9

Introduction to neural network programming, lecture 9
DAT112 - Apr 2024
23 May 11:00 am 12:00 pm

DAT112: Lecture 10

Introduction to neural network programming, lecture 10
DAT112 - Apr 2024
27 May 1:00 pm 2:30 pm

Bash idioms, awk, etc.

This workshop explores various concise and useful constructs for working with bash shell. The goal is to improve your shell skills. Attending this class requires some basic GNU/Linux command line experience.Format: Virtual
SCMP281 - May 2024
28 May 11:00 am 12:00 pm

DAT112: Lecture 11

Introduction to neural network programming, lecture 11
DAT112 - Apr 2024
30 May 11:00 am 12:00 pm

DAT112: Lecture 12

Introduction to neural network programming, lecture 12
DAT112 - Apr 2024
June,2024
3 Jun 9:00 am 12:00 pm

CO Summer School S1: Introduction to Linux shell (morning session)

Running programs on the supercomputers is done via the BASH shell. This course is two three hour live demos on using bash. No prior familiarity with bash is assumed. In addition to the basics of getting around, globbing, regular expressions, redirection, pipes, and scripting will be covered. A series of exercises are required to be done in order to complete the course. Level: Introductory Length: Two 3-Hour Sessions Format: Lecture + Hands-on Prerequisites: None (part of the 2024 Compute Ontario Summer School) Virtual
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3 Jun 9:00 am 12:00 pm

CO Summer School S2: Data Preparation

This course provides you with essential knowledge and skills to effectively prepare data for analysis. Starting with an overview of the Data Analytics pipeline and processes, the course explores various statistical and visualization techniques used in Exploratory and Descriptive Analytics to understand historical data. You will then delve into the art of Data Preparation, gaining expertise in data cleaning, handling missing values, detecting, and handling outliers, as well as transforming and engineering features. By the end of the course, you will be equipped with the necessary tools to ensure data quality and integrity, enabling you to make informed decisions and derive valuable insights from their data. Level: Introductory Length: 3 Hours Format: Lecture + Hands-on Prerequisites: Basic Python (part of the 2024 Compute Ontario Summer School) Virtual
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3 Jun 1:30 pm 4:30 pm

CO Summer School S2: Data Security

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 destroyed. We will also talk about data encryption and provide tips for when travelling with electronic devices. Level: Introductory Length: 3 hours Format: Lecture Prerequisites: None (part of the 2024 Compute Ontario Summer School) Virtual
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3 Jun 1:30 pm 4:30 pm

CO Summer School S1: Introduction to Linux shell (afternoon session)

Running programs on the supercomputers is done via the BASH shell. This course is two three hour live demos on using bash. No prior familiarity with bash is assumed. In addition to the basics of getting around, globbing, regular expressions, redirection, pipes, and scripting will be covered. A series of exercises are required to be done in order to complete the course. Level: Introductory Length: Two 3-Hour Sessions Format: Lecture + Hands-on Prerequisites: None (part of the 2024 Compute Ontario Summer School) Virtual
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4 Jun 9:00 am 12:00 pm

CO Summer School S2: Bioinformatics: Analysis of RNA-sequencing data

RNA-Seq refers to high throughput sequencing methods that probes the entire transcriptomic landscape of a given tissue or sample of interest. The data acquired from such experiments can be used to explore the overall RNA profile of a sample as well as comparing samples under various conditions. While extremely powerful, RNA-Seq is susceptible to numerous experimental pitfalls and requires intimate knowledge of the experimental procedures and data analysis methods. When conducted properly RNA-Seq can reveal information about gene/transcript expression, splicing and the effects of mutations. In this session we will take a thorough look at a comprehensive RNA-Seq pipeline, from sample processing methods to final differential expression analysis. Relevant R / BioConductor packages will be introduced. We will have the opportunity to investigate numerous quality control metrics, perform genomic alignment, differential expression and pathway enrichment analysis. We will cover several “gotcha”s and common mistakes in experimental design and data analysis. Basic familiarity with R and Linux command line will be beneficial but not required. All necessary commands and parameters will be explained during the class. Participants will be offered hands-on practice in which they will use RStudio to run R/BioConductor scripts for data analysis as well as the Integrative Genomic Viewer (IGV) software to visualize genomic data on their laptops Level: Intermediate Length: 3 Hours Format: Lecture + Hands-on Prerequisites: Basic R and Linux beneficial but not required (part of the 2024 Compute Ontario Summer School) Virtual
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