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September,2023
12 Sep 9:00 am 10:30 am

MSC1090 lecture 1

The 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 2023Show in Google map
13 Sep 1:00 pm 2:30 pm

Intro to Niagara

In 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 2023Show in Google map
14 Sep 9:00 am 10:30 am

MSC1090 lecture 2

The 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 2023Show in Google map
18 Sep 1:00 pm 4:00 pm

Intro to Linux Command Line

Working 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 am

MSC1090 lecture 3

The 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 2023Show in Google map
21 Sep 9:00 am 10:30 am

MSC1090 lecture 4

The 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 2023Show in Google map
25 Sep 12:30 pm 2:00 pm

Intro to Supercomputing, session 1/3

An 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 am

MSC1090 lecture 5

The 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 2023Show in Google map
27 Sep 12:30 pm 2:00 pm

Intro to Supercomputing, session 2/3

An 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
28 Sep 9:00 am 10:30 am

MSC1090 lecture 6

The 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 2023Show in Google map