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Training and Education

Friday September 22, 2017 - 07:25
  

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        
DAT111 Introduction to Neural Network Programming (Sept. 2017)

Introduction to Neural Network Programming
DAT111

This workshop will introduce neural network programming concepts, theory and techniques. The level of the material will be introductory, intended for those with no experience with neural networks. The programming language will be Python 2.7; experien...
38 enrolled - 300 minutes 
Data Science 2017-09-25
SCMP101 Introduction to the Linux Shell (Sept. 2017)

Introduction to the Linux Shell
SCMP101

Learn the basics of how to use the unix shell in two hours. Very useful for new users of SciNet that have little or no experience with unix or linux.
22 enrolled - 120 minutes 
Scientific Computing 2017-09-27
MSC1090 Introduction to Clinical BioStatistics (Quantitative Applications for Data Analysis)

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...
72 enrolled - 24 events of 180 minutes 
Data Science (university credit) 2017-09-21
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...
40 enrolled - 4 events of 60 minutes 
Data Science 2017-10-02
HPC162 Advanced Parallel Scientific Computing (Sept. 2017)

Advanced Parallel Scientific Computing
HPC162

Explore and use advanced examples of parallel computing in scientific research (mini/modular graduate course).
24 enrolled - 10 events of 360 minutes 
High Performance Computing (university credit) 2017-09-20
SCMP142 Introduction to Programming with Python (Oct. 2017)

Introduction to Programming with Python
SCMP142

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.
26 enrolled - 8 events of 60 minutes 
Scientific Computing 2017-10-10
SCMP201 Advanced Shell Programming (Oct 2017)

Advanced Shell Programming
SCMP201

Learn how to write bash script, use environment variables, how to control process, and much more. Requires some linux basic command line experience.
24 enrolled - 180 minutes 
Scientific Computing 2017-10-25
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...
27 enrolled - 8 events of 60 minutes 
Scientific Computing (university credit) 2017-11-07
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 ...
3 enrolled - 60 minutes 
Data Science (university credit) 2018-01-03
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...
1 enrolled - 60 minutes 
Scientific Computing (university credit) 2018-01-09

Archived Courses and Events

SciNet User Group Meeting (Sept. 2017)

SciNet User Group Meeting

Pizza, user discussion, and a tech talk:
ChIP-Seq analysis of the Interactive Bromodomain 1 protein (Ibd1) in Tetrahymena thermophila, by PhD student Alejandro Saettone (Ryerson University)
- 60 minutes 
SNUG 2017-09-13
HPC105 Intro to SciNet (Sept. 2017)

Intro to SciNet
HPC105

In about 90 minutes, you will learn how to use the SciNet systems. Experienced users may still pick up some valuable pointers.
Attended: 18 - 90 minutes 
High Performance Computing 2017-09-13
CDL Python Bootcamp (Aug 2017)

CDL Python Bootcamp

A Python Bootcamp is given to partipantss of the Quantum Machine Learning program by Creative Destruction Labs
Attended: 68 - 3 events of 420 minutes 
External 2017-09-01
HPC160 Compute Ontario Summer School - Central (July 2017)

Compute Ontario Summer School - Central
HPC160

A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates
Attended: 127 - 28 events of 180 minutes 
High Performance Computing 2017-07-28


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