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| March,2023 | |
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29 Mar 9:00 am 10:00 amBCH2202 - Lecture 8In this course students will be instructed in how to program in R. Ultimately students will learn how to use R to analyze, process and visualize data. This course is designed for students with little to no experience in programming.This is a graduate course that can be taken for credit by UofT Biochemistry graduate students. Those students should enrol using ACORN/ROSI. SciNet Teaching Room | BCH2202 - Winter 2023 |
29 Mar 12:00 pm 1:00 pmCO Colloquium on "Multi-Factor Authentication" by Marco SaldarriagaThis week's colloquium: "Multi-Factor Authentication" by Marco Saldarriaga from SciNet. The Compute Ontario Colloquia are weekly Zoom presentations on Advanced Research Computing, High Performance Computing, Research Data Management, and Research Software topics, delivered by staff from three Compute Ontario consortia (CAC, SciNet, SHARCNET) and guest speakers. The colloquia are one hour long and include time for questions. No registration is required. | COCO - 29 Mar 2023 |
30 Mar 11:00 am 12:30 pmEES1137 Lecture 22In 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 must enrol through Acorn/ROSI. | EES1137 - Winter 2023 |
30 Mar 11:00 am 12:00 pmScientific Computing (2023)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. | PHY1610 - Winter 2023 |
| April,2023 | |
3 Apr 11:59 pmProfile and Parallelize Area-Under-the-Curve is dueParallel programming in Python. We will cover subprocess, numexpr, multiprocessing, MPI, and other parallel-enabling python packages.Format: In person, but also broadcast and recorded. | HPC111 - Mar 2023 |
4 Apr 10:30 am 12:00 pmEES1137 Lecture 23In 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 must enrol through Acorn/ROSI. | EES1137 - Winter 2023 |
4 Apr 11:00 am 12:00 pmScientific Computing Lecture (2023)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. | PHY1610 - Winter 2023 |
5 Apr 9:00 am 10:00 amBCH2202 - Lecture 9In this course students will be instructed in how to program in R. Ultimately students will learn how to use R to analyze, process and visualize data. This course is designed for students with little to no experience in programming.This is a graduate course that can be taken for credit by UofT Biochemistry graduate students. Those students should enrol using ACORN/ROSI. SciNet Teaching Room | BCH2202 - Winter 2023 |
6 Apr 11:00 am 12:00 pmScientific Computing (2023)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. | PHY1610 - Winter 2023 |
6 Apr 11:00 am 12:30 pmEES1137 Lecture 24In 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 must enrol through Acorn/ROSI. | EES1137 - Winter 2023 |
12 Apr 9:00 am 10:00 amBCH2202 - Lecture 10In this course students will be instructed in how to program in R. Ultimately students will learn how to use R to analyze, process and visualize data. This course is designed for students with little to no experience in programming.This is a graduate course that can be taken for credit by UofT Biochemistry graduate students. Those students should enrol using ACORN/ROSI. SciNet Teaching Room | BCH2202 - Winter 2023 |
12 Apr 10:00 am 11:30 amIntro to SciNet, Niagara and MistIn 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 | HPC105 - Apr 2023 |
17 Apr 1:00 pm 4:00 pmAdvanced GNU/Linux IIThis workshop explores various concise and useful constructs for working with bash shell. The goal is to improve your shell skills. Attending this class requires some basic GNU/Linux command line experience.Format: In-person and On-line (zoom)Location: SciNet Teaching Room, 11th floor on the MaRS West tower, 661 University Ave., Suite 1140, Toronto, ON M5G 1M1Time: 1:00 pm - 4:00 pm EST SciNet Teaching Room | SCMP281 - Apr 2023 |
19 Apr 9:00 am 10:00 amBCH2202 - Lecture 11In this course students will be instructed in how to program in R. Ultimately students will learn how to use R to analyze, process and visualize data. This course is designed for students with little to no experience in programming.This is a graduate course that can be taken for credit by UofT Biochemistry graduate students. Those students should enrol using ACORN/ROSI. SciNet Teaching Room | BCH2202 - Winter 2023 |
25 Apr 11:00 am 12:00 pmNeural Network Programming LectureThis six-week class will introduce neural network programming concepts, theory and techniques. The class material will begin at an introductory level, intended for those with no experience with neural networks, eventually covering intermediate-to-advanced concepts. The programming language will be Python 3.9; experience with Python programming will be assumed. The Keras neural network framework will be used for neural network programming; no experience with Keras will be expected. Lectures will be 11:00am - 12:00pm, Tuesday and Thursdays.Format: In-person, but lectures will be recorded. SciNet Training Room | DAT112 - Apr 2023 |
26 Apr 9:00 am 10:00 amBCH2202 - Lecture 12In this course students will be instructed in how to program in R. Ultimately students will learn how to use R to analyze, process and visualize data. This course is designed for students with little to no experience in programming.This is a graduate course that can be taken for credit by UofT Biochemistry graduate students. Those students should enrol using ACORN/ROSI. SciNet Teaching Room | BCH2202 - Winter 2023 |
27 Apr 10:04 am 11:04 amNeural Network Programming LectureThis six-week class will introduce neural network programming concepts, theory and techniques. The class material will begin at an introductory level, intended for those with no experience with neural networks, eventually covering intermediate-to-advanced concepts. The programming language will be Python 3.9; experience with Python programming will be assumed. The Keras neural network framework will be used for neural network programming; no experience with Keras will be expected. Lectures will be 11:00am - 12:00pm, Tuesday and Thursdays.Format: In-person, but lectures will be recorded. SciNet Teaching Room | DAT112 - Apr 2023 |
| May,2023 | |
2 May 11:00 am 12:00 pmNeural Network Programming LectureThis six-week class will introduce neural network programming concepts, theory and techniques. The class material will begin at an introductory level, intended for those with no experience with neural networks, eventually covering intermediate-to-advanced concepts. The programming language will be Python 3.9; experience with Python programming will be assumed. The Keras neural network framework will be used for neural network programming; no experience with Keras will be expected. Lectures will be 11:00am - 12:00pm, Tuesday and Thursdays.Format: In-person, but lectures will be recorded. SciNet Training Room | DAT112 - Apr 2023 |
4 May 10:04 am 11:04 amNeural Network Programming LectureThis six-week class will introduce neural network programming concepts, theory and techniques. The class material will begin at an introductory level, intended for those with no experience with neural networks, eventually covering intermediate-to-advanced concepts. The programming language will be Python 3.9; experience with Python programming will be assumed. The Keras neural network framework will be used for neural network programming; no experience with Keras will be expected. Lectures will be 11:00am - 12:00pm, Tuesday and Thursdays.Format: In-person, but lectures will be recorded. SciNet Teaching Room | DAT112 - Apr 2023 |
9 May 11:00 am 12:00 pmNeural Network Programming LectureThis six-week class will introduce neural network programming concepts, theory and techniques. The class material will begin at an introductory level, intended for those with no experience with neural networks, eventually covering intermediate-to-advanced concepts. The programming language will be Python 3.9; experience with Python programming will be assumed. The Keras neural network framework will be used for neural network programming; no experience with Keras will be expected. Lectures will be 11:00am - 12:00pm, Tuesday and Thursdays.Format: In-person, but lectures will be recorded. SciNet Training Room | DAT112 - Apr 2023 |
10 May 10:00 am 11:30 amIntro to SciNet, Niagara and MistIn 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 | HC105 - May 2023 |
11 May 10:04 am 11:04 amNeural Network Programming LectureThis six-week class will introduce neural network programming concepts, theory and techniques. The class material will begin at an introductory level, intended for those with no experience with neural networks, eventually covering intermediate-to-advanced concepts. The programming language will be Python 3.9; experience with Python programming will be assumed. The Keras neural network framework will be used for neural network programming; no experience with Keras will be expected. Lectures will be 11:00am - 12:00pm, Tuesday and Thursdays.Format: In-person, but lectures will be recorded. SciNet Teaching Room | DAT112 - Apr 2023 |

