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| November,2023 | |
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30 Nov 9:00 am 10:30 amMSC1090 lecture 24The 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 |
| December,2023 | |
1 Dec 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 coursse which will cover basic commands. It could be a great boon for your productivity.Format: Virtual Virtual | SCMP101 - Dec 2023 |
4 Dec 12:30 pm 2:00 pmIntro to MPI 1/3Learn the basics of Message Passing Interface (MPI) programming. Examples and exercises will be based on parallelization of common scientific computing problems.Format: Virtual Virtual | HPC123 - Dec 2023 |
6 Dec 12:30 pm 2:00 pmIntro to MPI 2/3Learn the basics of Message Passing Interface (MPI) programming. Examples and exercises will be based on parallelization of common scientific computing problems.Format: Virtual Virtual | HPC123 - Dec 2023 |
8 Dec 12:30 pm 2:00 pmIntro to MPI 3/3Learn the basics of Message Passing Interface (MPI) programming. Examples and exercises will be based on parallelization of common scientific computing problems.Format: Virtual Virtual | HPC123 - Dec 2023 |
13 Dec 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 - Dec 2023 |

