Events from the SciNet Education web site:
SciNet Events |
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| September,2021 | |
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Tue 14th Sep 12:00 pm 1:30 pm | In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.Topics include: R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.This course is part of the IMS graduate program and due to be current CoViD19 pandemic, it will be taught fully online.  Online |
Thu 16th Sep 12:00 pm 1:30 pm | In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.Topics include: R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.This course is part of the IMS graduate program and due to be current CoViD19 pandemic, it will be taught fully online. Online |
Tue 21st Sep 12:00 pm 1:30 pm | In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.Topics include: R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.This course is part of the IMS graduate program and due to be current CoViD19 pandemic, it will be taught fully online. Online |
Thu 23rd Sep 12:00 pm 1:30 pm | In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.Topics include: R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.This course is part of the IMS graduate program and due to be current CoViD19 pandemic, it will be taught fully online. Online |
Tue 28th Sep 12:00 pm 1:30 pm | In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.Topics include: R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.This course is part of the IMS graduate program and due to be current CoViD19 pandemic, it will be taught fully online. Online |
Thu 30th Sep 12:00 pm 1:30 pm | In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.Topics include: R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.This course is part of the IMS graduate program and due to be current CoViD19 pandemic, it will be taught fully online. Online |
| October,2021 | |
Tue 5th Oct 12:00 pm 1:30 pm | In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.Topics include: R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.This course is part of the IMS graduate program and due to be current CoViD19 pandemic, it will be taught fully online. Online |
Thu 7th Oct 12:00 pm 1:30 pm | In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.Topics include: R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.This course is part of the IMS graduate program and due to be current CoViD19 pandemic, it will be taught fully online. Online |
Tue 12th Oct 12:00 pm 1:30 pm | In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.Topics include: R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.This course is part of the IMS graduate program and due to be current CoViD19 pandemic, it will be taught fully online. Online |
Thu 14th Oct 12:00 pm 1:30 pm | In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.Topics include: R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.This course is part of the IMS graduate program and due to be current CoViD19 pandemic, it will be taught fully online. Online |
Tue 19th Oct 12:00 pm 1:30 pm | In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.Topics include: R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.This course is part of the IMS graduate program and due to be current CoViD19 pandemic, it will be taught fully online. Online |
Wed 20th Oct 10:00 am 11:30 am | A quick introduction how to use SciNet and the Niagara and Mist supercomputers. |
Thu 21st Oct 12:00 pm 1:30 pm | In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.Topics include: R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.This course is part of the IMS graduate program and due to be current CoViD19 pandemic, it will be taught fully online. Online |
Mon 25th Oct 12:30 pm 2:00 pm | In this workshop, spread out over three days within one week, you will learn advanced MPI techniques such as MPI Datatypes, MPI-IO and one-sided communications. online |
Mon 25th Oct 3:00 pm 4:00 pm | Language: English (questions in English and French)During this session, we will answer any question you have regarding the SSH keys pilot.We will also provide assistance if you run into issues during the creation of your SSH key pair.---Session question/réponse clés SSHLangage: Anglais (questions en Anglais et Français)Pendant cette session, nous répondrons à vos questions concernant le pilote pour les clés SSH. Nous serons également présents pour vous aider dans la création de votre paire de clés SSH, si besoin. |
Tue 26th Oct 12:00 pm 1:30 pm | In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.Topics include: R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.This course is part of the IMS graduate program and due to be current CoViD19 pandemic, it will be taught fully online. Online |
Tue 26th Oct 1:00 pm 4:00 pm | Working with many of the HPC systems in Ontario 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. This hands on session will cover basic commands. It could be a great boon for your productivity. |
Wed 27th Oct 12:30 pm 2:00 pm | In this workshop, spread out over three days within one week, you will learn advanced MPI techniques such as MPI Datatypes, MPI-IO and one-sided communications. online |
Thu 28th Oct 11:00 am 12:00 pm | Language: English (questions in English and French)During this session, we will answer any question you have regarding the SSH keys pilot.We will also provide assistance if you run into issues during the creation of your SSH key pair.---Session question/réponse clés SSHLangage: Anglais (questions en Anglais et Français)Pendant cette session, nous répondrons à vos questions concernant le pilote pour les clés SSH. Nous serons également présents pour vous aider dans la création de votre paire de clés SSH, si besoin. |
Thu 28th Oct 12:00 pm 1:30 pm | In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.Topics include: R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.This course is part of the IMS graduate program and due to be current CoViD19 pandemic, it will be taught fully online. Online |
Fri 29th Oct 12:00 pm 1:00 pm | Langage: Français (questions en Français et Anglais)Pendant cette session, nous répondrons à vos questions concernant le pilote pour les clés SSH. Nous serons également présents pour vous aider dans la création de votre paire de clés SSH, si besoin.---SSH Keys Drop-In SessionLanguage: French (questions in French and English)During this session, we will answer any question you have regarding the SSH keys pilot.We will also provide assistance if you run into issues during the creation of your SSH key pair.--- |
Fri 29th Oct 12:30 pm 2:00 pm | In this workshop, spread out over three days within one week, you will learn advanced MPI techniques such as MPI Datatypes, MPI-IO and one-sided communications. online |
| November,2021 | |
Tue 2nd Nov 12:00 pm 1:30 pm | In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.Topics include: R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.This course is part of the IMS graduate program and due to be current CoViD19 pandemic, it will be taught fully online. Online |
Thu 4th Nov 12:00 pm 1:30 pm | In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.Topics include: R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.This course is part of the IMS graduate program and due to be current CoViD19 pandemic, it will be taught fully online. Online |
Tue 9th Nov 12:00 pm 1:30 pm | In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.Topics include: R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.This course is part of the IMS graduate program and due to be current CoViD19 pandemic, it will be taught fully online. Online |
Wed 10th Nov 10:00 am 11:30 am | A quick introduction how to use SciNet and the Niagara and Mist supercomputers. |
Thu 11th Nov 12:00 pm 1:30 pm | In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.Topics include: R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.This course is part of the IMS graduate program and due to be current CoViD19 pandemic, it will be taught fully online. Online |
Mon 15th Nov 12:00 pm 1:00 pm | Language: English (questions in English and French)During this session, we will answer any question you have regarding the SSH keys pilot.We will also provide assistance if you run into issues during the creation of your SSH key pair.---Session question/réponse clés SSHLangage: Anglais (questions en Anglais et Français)Pendant cette session, nous répondrons à vos questions concernant le pilote pour les clés SSH. Nous serons également présents pour vous aider dans la création de votre paire de clés SSH, si besoin. |
Tue 16th Nov 12:00 pm 1:30 pm | In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.Topics include: R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.This course is part of the IMS graduate program and due to be current CoViD19 pandemic, it will be taught fully online. Online |
Wed 17th Nov 1:00 pm 4:00 pm | Working with Advanced Research Computing and High Performance Computing systems involves using the Linux command line. This workshop will cover Linux commands to improve your productivity on the command line. |
Thu 18th Nov 12:00 pm 1:30 pm | In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.Topics include: R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.This course is part of the IMS graduate program and due to be current CoViD19 pandemic, it will be taught fully online. Online |
Mon 22nd Nov 12:00 pm 1:00 pm | Language: English (questions in English and French)During this session, we will answer any question you have regarding the SSH keys pilot.We will also provide assistance if you run into issues during the creation of your SSH key pair.---Session question/réponse clés SSHLangage: Anglais (questions en Anglais et Français)Pendant cette session, nous répondrons à vos questions concernant le pilote pour les clés SSH. Nous serons également présents pour vous aider dans la création de votre paire de clés SSH, si besoin. |
Tue 23rd Nov 12:00 pm 1:30 pm | In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.Topics include: R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.This course is part of the IMS graduate program and due to be current CoViD19 pandemic, it will be taught fully online. Online |
Wed 24th Nov 12:00 pm 3:00 pm | |
Thu 25th Nov 12:00 pm 1:30 pm | In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.Topics include: R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.This course is part of the IMS graduate program and due to be current CoViD19 pandemic, it will be taught fully online. Online |
Mon 29th Nov 12:30 pm 2:00 pm | Learn how to protect your research using cybersecurity techniques. During the three days of this workshop, we will cover various aspects of cybersecurity to help you protect your research! Cybersecurity concepts, cyberattack models, as well as best practices to protect your research will be reviewed. We will talk about cryptography and you will get to apply the concepts to a real life scenario using SSH keys. Finally, we will discuss cybersecurity in the context of human research data and the Research Ethics Board. The workshop will be a mix of theory and practical exercises. We hope you will learn something new and, more importantly, enjoy the sessions!Sessions will be delivered in English, but we will have the ability to respond to questions in French. The lesson material will be available in English. A French version of this workshop will take place at a later date.This workshop is part of the National Training series of the Compute Canada Federation. Registration is handled athttps://www.eventbrite.ca/e/ccf-national-training-securing-your-research-on-compute-clusters-and-cloud-tickets-173830691277 |
Tue 30th Nov 12:00 pm 1:30 pm | In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.Topics include: R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.This course is part of the IMS graduate program and due to be current CoViD19 pandemic, it will be taught fully online. Online |
| December,2021 | |
Wed 1st Dec 12:30 pm 2:00 pm | Learn how to protect your research using cybersecurity techniques. During the three days of this workshop, we will cover various aspects of cybersecurity to help you protect your research! Cybersecurity concepts, cyberattack models, as well as best practices to protect your research will be reviewed. We will talk about cryptography and you will get to apply the concepts to a real life scenario using SSH keys. Finally, we will discuss cybersecurity in the context of human research data and the Research Ethics Board. The workshop will be a mix of theory and practical exercises. We hope you will learn something new and, more importantly, enjoy the sessions!Sessions will be delivered in English, but we will have the ability to respond to questions in French. The lesson material will be available in English. A French version of this workshop will take place at a later date.This workshop is part of the National Training series of the Compute Canada Federation. Registration is handled athttps://www.eventbrite.ca/e/ccf-national-training-securing-your-research-on-compute-clusters-and-cloud-tickets-173830691277 |
Thu 2nd Dec 12:00 pm 1:30 pm | In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.Topics include: R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.This course is part of the IMS graduate program and due to be current CoViD19 pandemic, it will be taught fully online. Online |
Fri 3rd Dec 12:30 pm 2:00 pm | Learn how to protect your research using cybersecurity techniques. During the three days of this workshop, we will cover various aspects of cybersecurity to help you protect your research! Cybersecurity concepts, cyberattack models, as well as best practices to protect your research will be reviewed. We will talk about cryptography and you will get to apply the concepts to a real life scenario using SSH keys. Finally, we will discuss cybersecurity in the context of human research data and the Research Ethics Board. The workshop will be a mix of theory and practical exercises. We hope you will learn something new and, more importantly, enjoy the sessions!Sessions will be delivered in English, but we will have the ability to respond to questions in French. The lesson material will be available in English. A French version of this workshop will take place at a later date.This workshop is part of the National Training series of the Compute Canada Federation. Registration is handled athttps://www.eventbrite.ca/e/ccf-national-training-securing-your-research-on-compute-clusters-and-cloud-tickets-173830691277 |
Mon 6th Dec 12:30 pm 2:00 pm | In this workshop, spread out over three days within one week, learn about the uses of various databases in the context of scientific computing. |
Wed 8th Dec 10:00 am 11:30 am | A quick introduction how to use SciNet and the Niagara and Mist supercomputers. |
Wed 8th Dec 12:30 pm 2:00 pm | In this workshop, spread out over three days within one week, learn about the uses of various databases in the context of scientific computing. |
Fri 10th Dec 12:30 pm 2:00 pm | In this workshop, spread out over three days within one week, learn about the uses of various databases in the context of scientific computing. |
| January,2022 | |
Tue 11th Jan 10:30 am 12:00 pm | In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course is to prepare graduate students for performing scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data. Topics include: Python and R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enrol through Acorn/ROSI.This course is part of the EES graduate program and will be taught online this semester. |
Tue 11th Jan 11:00 am 12:00 pm | This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...).This is a graduate course that can be taken for graduate credit by UofT PhD and MSc students. Students that wish to do so, should enrol using ACORN/ROSI. |
Wed 12th Jan 11:00 am 12:00 pm | In this course students will be instructed in how to program in Python. Ultimately students will learn how to use Python to analyze, process and visualize data. This course is designed for students with little to no experience in programming. |
Wed 12th Jan 2:00 pm 3:00 pm | This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...).This is a graduate course that can be taken for graduate credit by UofT PhD and MSc students. Students that wish to do so, should enrol using ACORN/ROSI. |
Thu 13th Jan 11:00 am 12:30 pm | In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course is to prepare graduate students for performing scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data. Topics include: Python and R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enrol through Acorn/ROSI.This course is part of the EES graduate program and will be taught online this semester. |
Thu 13th Jan 11:00 am 12:00 pm | This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...).This is a graduate course that can be taken for graduate credit by UofT PhD and MSc students. Students that wish to do so, should enrol using ACORN/ROSI. |
Fri 14th Jan 12:00 pm 1:00 pm | This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...).This is a graduate course that can be taken for graduate credit by UofT PhD and MSc students. Students that wish to do so, should enrol using ACORN/ROSI. |
Mon 17th Jan 2:00 pm 3:00 pm | In this course students will be instructed in how to program in Python. Ultimately students will learn how to use Python to analyze, process and visualize data. This course is designed for students with little to no experience in programming. |
Tue 18th Jan 10:30 am 12:00 pm | In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course is to prepare graduate students for performing scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data. Topics include: Python and R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enrol through Acorn/ROSI.This course is part of the EES graduate program and will be taught online this semester. |
Tue 18th Jan 11:00 am 12:00 pm | This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...).This is a graduate course that can be taken for graduate credit by UofT PhD and MSc students. Students that wish to do so, should enrol using ACORN/ROSI. |
Wed 19th Jan 11:00 am 12:00 pm | In this course students will be instructed in how to program in Python. Ultimately students will learn how to use Python to analyze, process and visualize data. This course is designed for students with little to no experience in programming. |
Wed 19th Jan 2:00 pm 3:00 pm | This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...).This is a graduate course that can be taken for graduate credit by UofT PhD and MSc students. Students that wish to do so, should enrol using ACORN/ROSI. |
Thu 20th Jan 11:00 am 12:00 pm | This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...).This is a graduate course that can be taken for graduate credit by UofT PhD and MSc students. Students that wish to do so, should enrol using ACORN/ROSI. |
Thu 20th Jan 11:00 am 12:30 pm | In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course is to prepare graduate students for performing scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data. Topics include: Python and R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enrol through Acorn/ROSI.This course is part of the EES graduate program and will be taught online this semester. |
Fri 21st Jan 12:00 pm 1:00 pm | This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...).This is a graduate course that can be taken for graduate credit by UofT PhD and MSc students. Students that wish to do so, should enrol using ACORN/ROSI. |
Mon 24th Jan 2:00 pm 3:00 pm | In this course students will be instructed in how to program in Python. Ultimately students will learn how to use Python to analyze, process and visualize data. This course is designed for students with little to no experience in programming. |
Tue 25th Jan 10:30 am 12:00 pm | In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course is to prepare graduate students for performing scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data. Topics include: Python and R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enrol through Acorn/ROSI.This course is part of the EES graduate program and will be taught online this semester. |
Tue 25th Jan 11:00 am 12:00 pm | This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...).This is a graduate course that can be taken for graduate credit by UofT PhD and MSc students. Students that wish to do so, should enrol using ACORN/ROSI. |
Wed 26th Jan 9:15 am 10:45 am | A quick introduction on how to use SciNet and the Niagara and Mist supercomputers. |
Wed 26th Jan 11:00 am 12:00 pm | In this course students will be instructed in how to program in Python. Ultimately students will learn how to use Python to analyze, process and visualize data. This course is designed for students with little to no experience in programming. |
Wed 26th Jan 2:00 pm 3:00 pm | This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...).This is a graduate course that can be taken for graduate credit by UofT PhD and MSc students. Students that wish to do so, should enrol using ACORN/ROSI. |
Thu 27th Jan 11:00 am 12:00 pm | This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...).This is a graduate course that can be taken for graduate credit by UofT PhD and MSc students. Students that wish to do so, should enrol using ACORN/ROSI. |
Thu 27th Jan 11:00 am 12:30 pm | In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course is to prepare graduate students for performing scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data. Topics include: Python and R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enrol through Acorn/ROSI.This course is part of the EES graduate program and will be taught online this semester. |
Fri 28th Jan 12:00 pm 1:00 pm | This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...).This is a graduate course that can be taken for graduate credit by UofT PhD and MSc students. Students that wish to do so, should enrol using ACORN/ROSI. |
Fri 28th Jan 1:00 pm 4:00 pm | |
Mon 31st Jan 2:00 pm 3:00 pm | In this course students will be instructed in how to program in Python. Ultimately students will learn how to use Python to analyze, process and visualize data. This course is designed for students with little to no experience in programming. |
| February,2022 | |
Tue 1st Feb 10:30 am 12:00 pm | In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course is to prepare graduate students for performing scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data. Topics include: Python and R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enrol through Acorn/ROSI.This course is part of the EES graduate program and will be taught online this semester. |
Tue 1st Feb 11:00 am 12:00 pm | This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...).This is a graduate course that can be taken for graduate credit by UofT PhD and MSc students. Students that wish to do so, should enrol using ACORN/ROSI. |
Wed 2nd Feb 11:00 am 12:00 pm | In this course students will be instructed in how to program in Python. Ultimately students will learn how to use Python to analyze, process and visualize data. This course is designed for students with little to no experience in programming. |
Wed 2nd Feb 2:00 pm 3:00 pm | This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...).This is a graduate course that can be taken for graduate credit by UofT PhD and MSc students. Students that wish to do so, should enrol using ACORN/ROSI. |
Thu 3rd Feb 11:00 am 12:30 pm | In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course is to prepare graduate students for performing scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data. Topics include: Python and R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enrol through Acorn/ROSI.This course is part of the EES graduate program and will be taught online this semester. |
Thu 3rd Feb 11:00 am 12:00 pm | This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...).This is a graduate course that can be taken for graduate credit by UofT PhD and MSc students. Students that wish to do so, should enrol using ACORN/ROSI. |
Fri 4th Feb 12:00 pm 1:00 pm | This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...).This is a graduate course that can be taken for graduate credit by UofT PhD and MSc students. Students that wish to do so, should enrol using ACORN/ROSI. |
Mon 7th Feb 2:00 pm 3:00 pm | In this course students will be instructed in how to program in Python. Ultimately students will learn how to use Python to analyze, process and visualize data. This course is designed for students with little to no experience in programming. |
Tue 8th Feb 10:30 am 12:00 pm | In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course is to prepare graduate students for performing scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data. Topics include: Python and R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enrol through Acorn/ROSI.This course is part of the EES graduate program and will be taught online this semester. |
Tue 8th Feb 11:00 am 12:00 pm | This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...).This is a graduate course that can be taken for graduate credit by UofT PhD and MSc students. Students that wish to do so, should enrol using ACORN/ROSI. |
Wed 9th Feb 10:00 am 11:30 am | A quick introduction on how to use SciNet and the Niagara and Mist supercomputers. |
Wed 9th Feb 11:00 am 12:00 pm | In this course students will be instructed in how to program in Python. Ultimately students will learn how to use Python to analyze, process and visualize data. This course is designed for students with little to no experience in programming. |
Wed 9th Feb 12:00 pm 1:00 pm | |
Wed 9th Feb 2:00 pm 3:00 pm | This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...).This is a graduate course that can be taken for graduate credit by UofT PhD and MSc students. Students that wish to do so, should enrol using ACORN/ROSI. |
Thu 10th Feb 11:00 am 12:00 pm | This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...).This is a graduate course that can be taken for graduate credit by UofT PhD and MSc students. Students that wish to do so, should enrol using ACORN/ROSI. |
Thu 10th Feb 11:00 am 12:30 pm | In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course is to prepare graduate students for performing scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data. Topics include: Python and R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enrol through Acorn/ROSI.This course is part of the EES graduate program and will be taught online this semester. |
Fri 11th Feb 12:00 pm 1:00 pm | This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...).This is a graduate course that can be taken for graduate credit by UofT PhD and MSc students. Students that wish to do so, should enrol using ACORN/ROSI. |
Mon 14th Feb 2:00 pm 3:00 pm | In this course students will be instructed in how to program in Python. Ultimately students will learn how to use Python to analyze, process and visualize data. This course is designed for students with little to no experience in programming. |
Tue 15th Feb 10:30 am 12:00 pm | In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course is to prepare graduate students for performing scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data. Topics include: Python and R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enrol through Acorn/ROSI.This course is part of the EES graduate program and will be taught online this semester. |
Tue 15th Feb 11:00 am 12:00 pm | This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...).This is a graduate course that can be taken for graduate credit by UofT PhD and MSc students. Students that wish to do so, should enrol using ACORN/ROSI. |
Wed 16th Feb 11:00 am 12:00 pm | In this course students will be instructed in how to program in Python. Ultimately students will learn how to use Python to analyze, process and visualize data. This course is designed for students with little to no experience in programming. |
Wed 16th Feb 2:00 pm 3:00 pm | This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...).This is a graduate course that can be taken for graduate credit by UofT PhD and MSc students. Students that wish to do so, should enrol using ACORN/ROSI. |
Thu 17th Feb 11:00 am 12:00 pm | This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...).This is a graduate course that can be taken for graduate credit by UofT PhD and MSc students. Students that wish to do so, should enrol using ACORN/ROSI. |
Thu 17th Feb 11:00 am 12:30 pm | In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course is to prepare graduate students for performing scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data. Topics include: Python and R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enrol through Acorn/ROSI.This course is part of the EES graduate program and will be taught online this semester. |
Fri 18th Feb 12:00 pm 1:00 pm | This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...).This is a graduate course that can be taken for graduate credit by UofT PhD and MSc students. Students that wish to do so, should enrol using ACORN/ROSI. |
Mon 21st Feb 2:00 pm 3:00 pm | In this course students will be instructed in how to program in Python. Ultimately students will learn how to use Python to analyze, process and visualize data. This course is designed for students with little to no experience in programming. |
Tue 22nd Feb 1:00 pm 4:00 pm | |
Mon 28th Feb 2:00 pm 3:00 pm | In this course students will be instructed in how to program in Python. Ultimately students will learn how to use Python to analyze, process and visualize data. This course is designed for students with little to no experience in programming. |
| March,2022 | |
Tue 1st Mar 10:30 am 12:00 pm | In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course is to prepare graduate students for performing scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data. Topics include: Python and R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enrol through Acorn/ROSI.This course is part of the EES graduate program and will be taught online this semester. |
Tue 1st Mar 11:00 am 12:00 pm | This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...).This is a graduate course that can be taken for graduate credit by UofT PhD and MSc students. Students that wish to do so, should enrol using ACORN/ROSI. |
