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Training and Education

Tuesday January 16, 2018 - 23:38
  

SciNet is a high-performance computing consortium of the University of Toronto and associated research hospitals, serving the computational needs of Canadian academic researchers.

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        
SCMP101 Introduction to the Linux Shell (Jan. 2018)

Introduction to the Linux Shell
SCMP101

Learn the basics of how to use the unix shell in a couple of hours. Very useful for new users of SciNet that have little or no experience with unix or linux.

If you are using a machine with MS Windows, we recommend installing one of the fo...
20 enrolled - 180 minutes 
Scientific Computing 2018-01-17
MSC1090 Introduction to Computational BioStatistics (Winter 2018)

Introduction to Computational BioStatistics
MSC1090

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 scienti...
66 enrolled - 24 events of 180 minutes 
Data Science (university credit) 2018-01-16
EES1137 Quantitative Applications for Data Analysis (Winter 2018)

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 ...
44 enrolled - 24 events of 60 minutes 
Data Science (university credit) 2018-01-17
PHY1610 Scientific Computing for Physicists (Winter 2018)

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...
45 enrolled - 24 events of 60 minutes 
Scientific Computing (university credit) 2018-01-16
SciNet User Group Meeting (Feb. 2018)

SciNet User Group Meeting

pizza, user discussion, and a techtalk (TBA)
1 enrolled - 60 minutes 
SNUG 2018-02-14
DAT112 Neural Network Programming (April 2018)

Neural Network Programming
DAT112

This 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-adv...
30 enrolled - 12 events of 60 minutes 
Data Science 2018-04-17
SCMP231 Relational Database Basics (June 2018)

Relational Database Basics
SCMP231

Principles and uses of relational databases with practical examples using python and sqlite.
10 enrolled - 360 minutes 
Data Science 2018-06-06

Archived Courses and Events

Undergrad Seminars on Advanced Research Computing, Data Science and Visualization (Fall 2017)

Undergrad Seminars 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.
- 7 events of 60 minutes 
Scientific Computing 2017-12-01
SCMP112 Intro to Scientific Computing with Python (Nov.2017)

Intro to Scientific Computing with Python
SCMP112

Learn about research computing even with little programming experience. Covers programming in python, best practices and visualization. Some experience with python is required. The course will last 4 weeks with 2 lectures per week (mini/modular grad...
- 8 events of 60 minutes 
Scientific Computing (university credit) 2017-11-30
MSC1090 Introduction to Clinical BioStatistics (Quantitative Applications for Data Analysis, Fall 2017)

Introduction to Clinical BioStatistics
MSC1090

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 scienti...
Attended: 51 - 24 events of 180 minutes 
Data Science (university credit) 2017-11-30
DAT212 Advanced Neural Networks (Oct 2017)

Advanced Neural Networks
DAT212

This class will review advanced neural network programming theory and architectures. The level of the material will not be introductory, experience with neural networks will be assumed. This class is intended to continue the material covered in DAT...
Attended: 20 - 4 events of 60 minutes 
Data Science 2017-11-13


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