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July,2022
29 Jul 12:34 pm

Course Feedback opens

This course will provide an introduction to the theory, formalisms and algorithms of quantum computing.  The programming language will be Python; experience with Python will be assumed.  Experience with quantum mechanics is not necessary; an introductory-level understanding of linear algebra will be assumed.  The PennyLane quantum-computing programming framework (installation instructions here), provided by Xanadu, will be used.  No experience with quantum computing will be expected.  Classes will be held, July 25, 27, 29, 12:30-3:30pm, in the SciNet Teaching room. Update: due to technical problems with the SciNet Teaching room, this class will be moved to the SciNet Boardroom.
SCMP151 - Jul 2022
August,2022
1 Aug 12:00 am

Lecture 1, hands on 2 is due

This course will provide an introduction to the theory, formalisms and algorithms of quantum computing.  The programming language will be Python; experience with Python will be assumed.  Experience with quantum mechanics is not necessary; an introductory-level understanding of linear algebra will be assumed.  The PennyLane quantum-computing programming framework (installation instructions here), provided by Xanadu, will be used.  No experience with quantum computing will be expected.  Classes will be held, July 25, 27, 29, 12:30-3:30pm, in the SciNet Teaching room. Update: due to technical problems with the SciNet Teaching room, this class will be moved to the SciNet Boardroom.
SCMP151 - Jul 2022
5 Aug 12:00 am

Quantum Fourier Transform is due

This course will provide an introduction to the theory, formalisms and algorithms of quantum computing.  The programming language will be Python; experience with Python will be assumed.  Experience with quantum mechanics is not necessary; an introductory-level understanding of linear algebra will be assumed.  The PennyLane quantum-computing programming framework (installation instructions here), provided by Xanadu, will be used.  No experience with quantum computing will be expected.  Classes will be held, July 25, 27, 29, 12:30-3:30pm, in the SciNet Teaching room. Update: due to technical problems with the SciNet Teaching room, this class will be moved to the SciNet Boardroom.
SCMP151 - Jul 2022
5 Aug 12:00 pm

Course Feedback closes

This course will provide an introduction to the theory, formalisms and algorithms of quantum computing.  The programming language will be Python; experience with Python will be assumed.  Experience with quantum mechanics is not necessary; an introductory-level understanding of linear algebra will be assumed.  The PennyLane quantum-computing programming framework (installation instructions here), provided by Xanadu, will be used.  No experience with quantum computing will be expected.  Classes will be held, July 25, 27, 29, 12:30-3:30pm, in the SciNet Teaching room. Update: due to technical problems with the SciNet Teaching room, this class will be moved to the SciNet Boardroom.
SCMP151 - Jul 2022
September,2022
13 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 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
14 Sep 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: Online
online
Show in Google mapHPC105 - Sep 2022
15 Sep 10:20 am 11:50 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 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
20 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 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
22 Sep 10:20 am 11:50 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 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
26 Sep 1:00 pm 4:00 pm

Container Computing with Apptainer

Container computing is gradually changing the way researchers are developing, sharing, and running software applications. Apptainer (formerly called Singularity) is gaining popularity in HPC for its performance, ease of use, portability,  and security. In this course, we will explore: what is a container, why use a container, and how to use and create one.Format: On-line (Zoom).
Online
Show in Google mapSCMP161 - Sep 2022
27 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 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
28 Sep 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
29 Sep 10:20 am 11:50 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 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
October,2022
3 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
3 Oct 2:00 pm

Attendance lecture 1 opens

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.
SCMP142 - Oct 2022
3 Oct 3:15 pm

Attendance lecture 1 closes

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.
SCMP142 - Oct 2022
4 Oct 9:00 am 10:30 am

MSC1090: Lecture 7

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
5 Oct 2:00 pm

Attendance lecture 2 opens

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.
SCMP142 - Oct 2022
5 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
5 Oct 3:15 pm

Attendance lecture 2 closes

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.
SCMP142 - Oct 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