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| June,2023 | |
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29 Jun 9:00 am 4:30 pmCO Summer School S1: Scientific VisualizationDuring this workshop, we will learn about Plotly which is a popular Python library that is great for 2D visualizations, and ParaView, a free and open-source visualization tool for creating 3D visualizations of your datasets. In this interactive workshop you will get familiar with how ParaView works and at the end you should be able to generate basic visualizations of the demo data. (This course will be taught in English.)This workshop will be delivered online in two sessions: June 29 from 9:00 A.M. to 12:00 P.M.. Eastern Daylight TimeJune 29 from 1:30 P.M. to 4:30 P.M. Eastern Daylight Time | COSS 2023 |
29 Jun 9:00 am 4:30 pmCO Summer School S2: Object-Oriented Programming (OOP) and Exception Handling Using C++C++ offers a unique blend of performance, abstraction, and stability that make it useful for large commercial and HPC projects, especially in performance-critical domains. The power and complexity of the language does present challenges, but with good practices, C++ remains an industry leader. Standards like Data Parallel C++ (DPC++) based on oneAPI aims to bring the productivity benefits of heterogeneous computing using a unified, standardized programming model that is future-proof, portable, and offers simplified programming along with high performance across CPUs, GPUs and accelerators.In this workshop, we will explore Object-Oriented Programming which is a model for designing your C++ program around data and procedures which is important in machine learning and AI applications. We will also look at Exception Handling and it's application. The workshop will include a combination of presentations and live demos which participants can follow along.This workshop will be delivered online in two sessions: June 29 from 9:00 A.M. to 12:00 P.M. Eastern Daylight TimeJune 29 from 1:30 P.M. to 4:00 P.M. Eastern Daylight Time | COSS 2023 |
| September,2023 | |
12 Sep 9:00 am 10:30 amMSC1090 lecture 1The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language. Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data. Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in SS1085. Students willing to take the course as part of their graduate program must enrol through Acorn. This course is part of the IMS graduate program. SS1085 | MSC1090 - Fall 2023 |
13 Sep 1:00 pm 2:30 pmIntro to NiagaraIn about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up some valuable pointers.Format: Virtual Virtual | HPC105 - Sep 2023 |
14 Sep 9:00 am 10:30 amMSC1090 lecture 2The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language. Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data. Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in SS1085. Students willing to take the course as part of their graduate program must enrol through Acorn. This course is part of the IMS graduate program. SS1085 | MSC1090 - Fall 2023 |
18 Sep 1:00 pm 4:00 pmIntro to Linux Command LineWorking with many of the HPC systems (like those at SciNet) involves using the Linux/UNIX command line. This provides a very powerful interface, but it can be quite daunting for the uninitiated. In this half-day session, you can become initiated with this course which will cover basic commands. It could be a great boon for your productivity.Format: Virtual | SCMP101 - Sep 2023 |
19 Sep 9:00 am 10:30 amMSC1090 lecture 3The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language. Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data. Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in SS1085. Students willing to take the course as part of their graduate program must enrol through Acorn. This course is part of the IMS graduate program. SS1085 | MSC1090 - Fall 2023 |
21 Sep 9:00 am 10:30 amMSC1090 lecture 4The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language. Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data. Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in SS1085. Students willing to take the course as part of their graduate program must enrol through Acorn. This course is part of the IMS graduate program. SS1085 | MSC1090 - Fall 2023 |
25 Sep 12:30 pm 2:00 pmIntro to Supercomputing, session 1/3An introduction to basic concepts in High-Performance Computing (HPC). This is intended to be a high-level primer for those largely new to HPC. Topic will include motivation for HPC, available HPC resources, essential issues, problem characteristics as they apply to parallelism and a high-level overview of parallel programming models.Format: Virtual | HPC101 - Sep 2023 |
26 Sep 9:00 am 10:30 amMSC1090 lecture 5The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language. Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data. Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in SS1085. Students willing to take the course as part of their graduate program must enrol through Acorn. This course is part of the IMS graduate program. SS1085 | MSC1090 - Fall 2023 |

