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October,2022
6 Oct 10:20 am 11:50 am

MSC1090: Lecture 8

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 GB244 and BL205, respectively.
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.
BL205
Show in Google mapMSC1090 - Fall 2022
11 Oct 9:00 am 10:30 am

MSC1090: Lecture 9

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 GB244 and BL205, respectively.
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.
GB244
Show in Google mapMSC1090 - Fall 2022
12 Oct 10:00 am 11:30 am

Intro to SciNet, Niagara, and Mist

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: In-person, as well as broadcast and recorded.
SciNet Teaching Room
Show in Google mapHPC105 - Oct 2022
12 Oct 12:00 pm 2:00 pm

SciNet User Group Meeting

The SciNet Users Group (SNUG) meetings happen every month on the second Wednesday and involve a techtalk (a hybrid in-person/online webinar) on topics or technologies of interest to the SciNet community, followed by an in-person session at the SciNet headquarters in Toronto where users can bring questions and issues.
SciNet Boardroom
Show in Google mapSCMP100 - Oct 2022
12 Oct 2:00 pm 3:00 pm

Intro to Programming Session

New to programming? Learn the basics of programming using python in eight one-hour sessions over the course of four weeks. Sessions will consist of a mix of lectures and hands-on exercises.Format: In-person. Sessions will be recorded.
SciNet Teaching Room
Show in Google mapSCMP142 - Oct 2022
13 Oct 10:20 am 11:50 am

MSC1090: Lecture 10

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 GB244 and BL205, respectively.
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.
BL205
Show in Google mapMSC1090 - Fall 2022
14 Oct 1:00 pm 4:00 pm

Intro to the 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 coursse which will cover basic commands. It could be a great boon for your productivity.Format: In person, but also broadcast and recorded.
SciNet Teaching Room
Show in Google mapSCMP101 - Oct 2022
17 Oct 2:00 pm 3:00 pm

Intro to Programming Session

New to programming? Learn the basics of programming using python in eight one-hour sessions over the course of four weeks. Sessions will consist of a mix of lectures and hands-on exercises.Format: In-person. Sessions will be recorded.
SciNet Teaching Room
Show in Google mapSCMP142 - Oct 2022
18 Oct 9:00 am 10:30 am

MSC1090: Lecture 11

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 GB244 and BL205, respectively.
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.
GB244
Show in Google mapMSC1090 - Fall 2022
19 Oct 2:00 pm 3:00 pm

Intro to Programming Session

New to programming? Learn the basics of programming using python in eight one-hour sessions over the course of four weeks. Sessions will consist of a mix of lectures and hands-on exercises.Format: In-person. Sessions will be recorded.
SciNet Teaching Room
Show in Google mapSCMP142 - Oct 2022
20 Oct 10:20 am 11:50 am

MSC1090: Lecture 12

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 GB244 and BL205, respectively.
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.
BL205
Show in Google mapMSC1090 - Fall 2022
24 Oct 12:30 pm 2:00 pm

Cybersecurity session #1

In three sessions over the course of one week, we will cover different aspects of cybersecurity to help you enable your research! We will explore cybersecurity concepts, cyberattack models, as well as best practices to protect your research. We will talk about cryptography and apply the concept to a real life scenario via SSH keys. Finally, we will approach cybersecurity in the context of the Research Ethics Board.     This session will be a mix of theory and practical exercises.  We hope you will learn something new and, most importantly, enjoy the sessions!  The format is virtual, but for the second session there is the option to attend in person in the SciNet Boardroom to get in-person help with setting up ssh key authentication.
Online (Zoom)
Show in Google mapSCMP183 - Oct 2022
24 Oct 2:00 pm 3:00 pm

Intro to Programming Session

New to programming? Learn the basics of programming using python in eight one-hour sessions over the course of four weeks. Sessions will consist of a mix of lectures and hands-on exercises.Format: In-person. Sessions will be recorded.
SciNet Teaching Room
Show in Google mapSCMP142 - Oct 2022
25 Oct 9:00 am 10:30 am

MSC1090: Lecture 13

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 GB244 and BL205, respectively.
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.
GB244
Show in Google mapMSC1090 - Fall 2022
26 Oct 12:30 pm 2:00 pm

Cybersecurity session #2

In three sessions over the course of one week, we will cover different aspects of cybersecurity to help you enable your research! We will explore cybersecurity concepts, cyberattack models, as well as best practices to protect your research. We will talk about cryptography and apply the concept to a real life scenario via SSH keys. Finally, we will approach cybersecurity in the context of the Research Ethics Board.     This session will be a mix of theory and practical exercises.  We hope you will learn something new and, most importantly, enjoy the sessions!  The format is virtual, but for the second session there is the option to attend in person in the SciNet Boardroom to get in-person help with setting up ssh key authentication.
Both online (Zoom) and in the SciNet boardroom
Show in Google mapSCMP183 - Oct 2022
26 Oct 2:00 pm 3:00 pm

Intro to Programming Session

New to programming? Learn the basics of programming using python in eight one-hour sessions over the course of four weeks. Sessions will consist of a mix of lectures and hands-on exercises.Format: In-person. Sessions will be recorded.
SciNet Teaching Room
Show in Google mapSCMP142 - Oct 2022
27 Oct 10:20 am 11:50 am

MSC1090: Lecture 14

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 GB244 and BL205, respectively.
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.
BL205
Show in Google mapMSC1090 - Fall 2022
28 Oct 12:30 pm 2:00 pm

Cybersecurity session #3

In three sessions over the course of one week, we will cover different aspects of cybersecurity to help you enable your research! We will explore cybersecurity concepts, cyberattack models, as well as best practices to protect your research. We will talk about cryptography and apply the concept to a real life scenario via SSH keys. Finally, we will approach cybersecurity in the context of the Research Ethics Board.     This session will be a mix of theory and practical exercises.  We hope you will learn something new and, most importantly, enjoy the sessions!  The format is virtual, but for the second session there is the option to attend in person in the SciNet Boardroom to get in-person help with setting up ssh key authentication.
Online (Zoom)
Show in Google mapSCMP183 - Oct 2022
31 Oct 2:00 pm 3:00 pm

Intro to Programming Session

New to programming? Learn the basics of programming using python in eight one-hour sessions over the course of four weeks. Sessions will consist of a mix of lectures and hands-on exercises.Format: In-person. Sessions will be recorded.
SciNet Teaching Room
Show in Google mapSCMP142 - Oct 2022
November,2022
1 Nov 9:00 am 10:30 am

MSC1090: Lecture 15

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 GB244 and BL205, respectively.
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.
GB244
Show in Google mapMSC1090 - Fall 2022
3 Nov 10:20 am 11:50 am

MSC1090: Lecture 16

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 GB244 and BL205, respectively.
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.
BL205
Show in Google mapMSC1090 - Fall 2022
8 Nov 9:00 am 10:30 am

MSC1090: Lecture 17

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 GB244 and BL205, respectively.
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.
GB244
Show in Google mapMSC1090 - Fall 2022
9 Nov 10:00 am 11:30 am

Intro to SciNet, Niagara and Mist

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: In-person in the SciNet Teaching Room, also broadcast and recorded.
SciNet Teaching Room
Show in Google mapHPC105 - Nov 2022
9 Nov 12:00 pm 2:00 pm

SciNet User Group Meeting

The SciNet Users Group (SNUG) meetings happen every month on the second Wednesday and involve a techtalk (a hybrid in-person/online webinar) on topics or technologies of interest to the SciNet community, followed by an in-person session at the SciNet headquarters in Toronto where users can bring questions and issues.
SciNet Boardroom
Show in Google mapSCMP100 - Nov 2022
10 Nov 10:20 am 11:50 am

MSC1090: Lecture 18

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 GB244 and BL205, respectively.
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.
BL205
Show in Google mapMSC1090 - Fall 2022
15 Nov 9:00 am 10:30 am

MSC1090: Lecture 19

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 GB244 and BL205, respectively.
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.
GB244
Show in Google mapMSC1090 - Fall 2022
17 Nov 10:20 am 11:50 am

MSC1090: Lecture 20

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 GB244 and BL205, respectively.
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.
BL205
Show in Google mapMSC1090 - Fall 2022
21 Nov 12:30 pm 2:00 pm

Parallel Programming with MPI: Session #1

Learn the basics of Message Passing Interface (MPI) programming. Examples and exercises will be based on parallelization of common scientific computing problems. Format: Online (Zoom)
Online
Show in Google mapHPC123 - Nov 2022
21 Nov 1:00 pm 4:00 pm

Intro to GIT Version Control

Using version control for your scripts, codes, documents, papers, and even data, allows you to track changes, keep backups, and facilitate collaboration.  In this workshop, you will learn the basics of version control with the popular distributed version control software GIT. This workshop assumes that students have an understanding of basic Linux shell commands.Format: In-person, but also will be broadcast and recorded.
SciNet Teaching Room
Show in Google mapDAT161 - Nov 2022
22 Nov 9:00 am 10:30 am

MSC1090: Lecture 21

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 GB244 and BL205, respectively.
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.
GB244
Show in Google mapMSC1090 - Fall 2022