Go to content ALT+c

Training and Education

Sunday February 26, 2017 - 04:57
  

SciNet is a high-performance computing consortium of the University of Toronto and associated research hospitals, serving the computational needs of Canadian academic researchers. It is one of six such consortia in the Compute Canada family.

This website contains the online content of SciNet's training and education program. It contains lecture videos, slides, links, forums and other electronic material, all publicly available. The materials are organized by course; the list of recent courses can be browsed below.

SciNet users and students can furthermore login to submit assignments and track their progress towards SciNet's Scientific Computing Certificate, Data Science Certificate, and High Performance Certificate.

      Category  Starts        
HPC105 Intro to SciNet (Mar. 2017)

Intro to SciNet
HPC105

In about 60 to 90 minutes, you will learn how to use the SciNet systems. Experienced users may still pick up some valuable pointers.
3 enrolled - 90 minutes 
High Performance Computing 2017-03-08
SciNet User Group Meeting (Mar. 2017)

SciNet User Group Meeting

pizza, user discussion, and a techtalk
1 enrolled - 60 minutes 
SNUG 2017-03-08
SciNet User Group Meeting (Apr. 2017)

SciNet User Group Meeting

pizza, user discussion, and a techtalk
- 60 minutes 
SNUG 2017-04-12
Undergraduate Seminar Series on Advanced Research Computing, Data Science and Visualization (Winter 2017)

Undergraduate Seminar Series on Advanced Research Computing, Data Science and Visualization

Introductory seminar series on Scientific Computing, High-Performance Computing, Data Science and Visualization; this lecture series is part of the "Research Project Course" (PHY479Y1) for 4th year undergraduate physics students.
8 enrolled - 9 events of 60 minutes 
High Performance Computing (university credit) 2017-02-17
PHY1610 Scientific Computing for Physicists (Winter 2017)

Scientific Computing for Physicists
PHY1610

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 c...
44 enrolled - 24 events of 57.5 minutes 
Scientific Computing (university credit) 2017-02-28
EES1137 Quantitative Applications for Data Analysis (Winter 2017)

Quantitative Applications for Data Analysis
EES1137

In this course data analysis techniques utilizing Python and 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 ...
39 enrolled - 24 events of 60 minutes 
Data Science (university credit) 2017-02-17
HPC105 Intro to SciNet (May. 2017)

Intro to SciNet
HPC105

In about 60 to 90 minutes, you will learn how to use the SciNet systems. Experienced users may still pick up some valuable pointers.
2 enrolled - 90 minutes 
High Performance Computing 2017-05-10
SciNet User Group Meeting (May 2017)

SciNet User Group Meeting

pizza, user discussion, and a techtalk
- 60 minutes 
SNUG 2017-05-10

Past Courses and Events

SCMP101 Introduction to the Linux Shell

Introduction to the Linux Shell
SCMP101

Learn the basics of how to use the unix shell in two hours. Includes an mild introduction to bash scripting as well. Very useful for new users of SciNet that have little or no experience with unix or linux.
- 180 minutes 
Scientific Computing 2017-02-13
SciNet User Group Meeting (Jan. 2017)

SciNet User Group Meeting

pizza, user discussion, and a techtalk on "Python in the browser on SciNet: JupyterHub"
- 60 minutes 
SNUG 2017-01-11
HPC105 Intro to SciNet (Jan.2017)

Intro to SciNet
HPC105

In about 60 to 90 minutes, you will learn how to use the SciNet systems. Experienced users may still pick up some valuable pointers.
Attended: 10 - 90 minutes 
High Performance Computing 2017-01-11
SCMP112 Intro to Scientific Computing with Python (Nov.2016)

Intro to Scientific Computing with Python
SCMP112

Learn about research computing even with little programming experience. Covers basics of programming in python, best practices and visualization. The course will last 4 weeks with 2 lectures per week (mini/modular grad course). The course can be ta...
Attended: 19 - 8 events of 60 minutes 
Scientific Computing (university credit) 2016-12-15


Questions? Contact Support.
Web site engine's code is copyright Ā© ATutorĀ®. About ATutor.
Modifications and code of added modules are copyright of SciNet.