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What Training services are available?
Intersect offers a wide range of specialised courses for researchers, from beginner through to advanced levels in High-Performance Computing (HPC), Excel for research, data management and visualisation, cleaning and exploring data, and more.
Delivered by Intersect's team of experts, training courses are customised and are regularly updated. Held at a training lab on campus, courses provide practical and research-relevant hands-on exercises.
- 21 Jun 2016: "Intro to Unix" at LTU Bundoora. Enrol now
- 21 Jun 2016: "Introduction to Version Control with Git" at LTU Bundoora. Enrol now
- 21 Jun 2016: "Excel Fu: Excel for Researchers" at UTS City Campus. Enrol now
- 22 Jun 2016: "Introduction to Programming with Python" at LTU Bundoora. Enrol now
- 23 Jun 2016: "Data Visualisation with Google Fusion Tables" at UTS City Campus. Enrol now
- 23 Jun 2016: "Cleaning & Exploring your data with Open Refine" at UTS City Campus. Enrol now
- 27 Jun 2016: "Introduction to the Nectar Cloud" at LTU Bundoora. Enrol now
- 27 Jun 2016: "Powerful text searching and matching with Regexes" at UoN Callaghan. Enrol now
- 27 Jun 2016: "Excel Fu: Excel for Researchers" at Western Sydney: Campbelltown. Enrol now
- 28 Jun 2016: "Excel Fu: Excel for Researchers" at UoN Callaghan. Enrol now
- 29 Jun 2016: "Cleaning & Exploring your data with Open Refine" at UoN Callaghan. Enrol now
- 29 Jun 2016: "Data Visualisation with Google Fusion Tables" at UoN Callaghan. Enrol now
- 29 Jun 2016: "Introduction to Programming with Python" at USYD Camperdown. Enrol now
- 29 Jun 2016: "Excel Fu: Excel for Researchers" at University of Canberra. Enrol now
- 4 Jul 2016: "Excel Fu: Excel for Researchers" at UNSW Kensington.
- 5 Jul 2016: "Data Visualisation with Google Fusion Tables" at UNSW Kensington.
- 6 Jul 2016: "Excel Fu: Excel for Researchers" at LTU Bundoora. Enrol now
- 6 Jul 2016: "Introduction to Programming with MATLAB" at USYD Camperdown. Enrol now
- 7 Jul 2016: "Cleaning & Exploring your data with Open Refine" at UNSW Kensington.
- 7 Jul 2016: "Powerful text searching and matching with Regexes" at UNSW Kensington.
- 11 Jul 2016: "Cleaning & Exploring your data with Open Refine" at University of Canberra. Enrol now
Who can access the service?
- Researchers, research groups, and Higher-Degree Research students from any Intersect member organisation.
- For people and organisations outside the Intersect membership, training can be provided on a fee-for-service basis. Please email us: firstname.lastname@example.org.
What costs are involved?
- Places are fully subsidised and provided at no cost to researchers and Higher-Degree Research students from Intersect member institutions.
- For non-member organisations or individual researchers not associated with an Intersect member university, fees are charged depending on the nature and length of the training course. Fees will generally be $500 per day per participant. Depending on the location, additional charges may apply to cover costs (for instance trainer travel). Please email us: email@example.com.
If I cannot make it, how do I cancel my training?
If you are registered but cannot make it (we understand that plans can change), we kindly ask that you cancel your place:
- Through Eventbrite: follow the cancellation instructions at the bottom of the email you received. Log into Eventbrite and choose under 'My Tickets' the event you are registered for. Under 'Current Orders', click 'Cancel Order'.
Or send us an email at firstname.lastname@example.org to release your spot for someone else to benefit from the training. Thanks in advance!
Excel Fu for Researchers
Duration: 8 hours
This popular intensive workshop runs over one day and comprises a series of hands-on exercises modelled around a mock research project. This module is targeted at researchers who would like to take a deep dive into using Excel, either to apply it to their research or to add it to their arsenal of eResearch skills. Check the course outline.
Minimum requirements: basic Excel knowledge.
- How to handle research data within Excel
- How to use advanced features of Excel to answer research questions pertaining to their data.
Research Data Management Techniques - new
Duration: 2 hours
This brand new 2-hour workshop is ideal for researchers and higher degree research students (HDR) who want to know how research data management supports project success and are interested in research data management services and support available at their institution. Combining slide-based background material, discussions and real world examples, this workshop will equip participants with best practices for managing their valuable research data.
Minimum requirements: none.
- Start a plan for managing data within a research project
- Learn how to avoid possible data management roadblocks that may affect project success
- Learn how to publish citable research data to raise your research profile.
Software Carpentry Workshop - An introduction to the Unix command line, programming in Python, and version control using Git - new
Duration: 2 days, 16 hours
We are pleased to help coordinate and present Software Carpentry workshops to Intersect members. This intensive 2-day workshop delivered by our Software Carpentry accredited trainers is aimed at researchers and higher degree research students (HDRs) who would like to start learning to code in the Python programming language, automate repetitive tasks using the Unix shell, and safely store their code and data under version control in Git.
The training runs for two days of hands-on learning, using teaching materials from the comprehensive Software Carpentry lessons, alternating short tutorials with practical exercises. All instruction is done via live coding and covers the core skills needed to be productive in a small research team.
Powerful text searching and matching with Regexes - new
Duration: 2 hours
Have you ever wanted to extract phone numbers out of a block of unstructured text? Or email addresses. Or find all the words that start with “e” and end with “ed”, no matter their length. Regular expressions (regexes for short) are a powerful way to match and make substitutions to text. Come along to this workshop to learn what they can do and how to apply them to your research.
This brand new 2-hour course has been specifically written for researchers and higher degree research (HDR) students who want to learn about how regular expressions can be used to search text in ways far more powerful than traditional “search” and “replace”. Check the course outline.
Minimum requirements: none.
- How to use the http://regexr.com tool to test a regular expression against some text.
- How to construct simple regular expressions to find all capitalised words; all numbers; all words that start with a specific set of letters, etc. in a block of text.
- How to build up a complex regular expression incrementally.
- How to find helpful resources covering regular expressions on the web.
Data Visualisation with Google Fusion Tables
Duration: 3 hours
This three-hour workshop is an introduction to data visualisation techniques using data and hands-on activities in Google Fusion Tables. The course is ideal for participants who work with large data sets and want to convey their research outcomes clearly and persuasively in a visual manner. By creating a heat map by merging geospatial data and crime statistics, participants will gain skills in visualisation that they can apply to their research. Check the course outline.
Minimum requirements: basic usage of Microsoft Excel and of a web browser.
- How to import data into Fusion Tables
- How to merge multiple data sets in Fusion Tables
- How to create heat maps using Fusion Tables
How to vary the visualisation used to illustrate your data in Fusion Tables.
Cleaning & Exploring your data with Open Refine
Duration: 3 hours
Do you have messy, inconsistent, or complex data? Are you struggling to get a handle on data that has been given to you? This 3-hour workshop introduces Open Refine, a powerful tool for cleaning, normalisation and exploration of datasets. Attendees will work through the various features of Refine, including importing data, faceting, clustering, and calling into remote APIs, by working on a mock humanities research project. Check the course outline.
- How to create a project in Open Refine
- How to import and organise your data
- Ways to explore your data
- How to work with APIs.
High-Performance Computing (HPC) Courses
HPC (also called supercomputing) is the use of large-scale, off-site computers and parallel processing techniques for solving complex computational problems. HPC is typically used for solving advanced problems and performing research activities through computer modelling, simulation and analysis. The learning curve for HPC can be a little steep, but plenty of help is available.
Our series of HPC courses cater for the needs of all researchers, whether you are at a Beginner, Intermediate or Advanced HPC level.
Intensive Beginner to Intermediate HPC - Introduction to Unix for HPC
Duration: 12 hours
This one-and-a-half day course introduces attendees to using Unix for our HPC computing facilities. It is aimed at researchers and PhD students who have not used or have had only limited exposure high performance computing.
Minimum requirements: knowledge of Windows, Mac, or Linux systems. Check the course outline.
- Connect to a remote machine.
- Use the Command Line environment of the Unix/Linux Shell
- Data transfer between local and HPC machines
Manage jobs on the HPC machine using Portable Batch System (PBS).
Intermediate HPC - From Unix to HPC
Duration: 3 hours
This 3-hour course introduces attendees to our HPC computing facilities and is aimed at those with Command Line Unix Experience. It is targeted at participants who want to learn how to manage jobs the HPC machine using PBSPro and understand the architecture of the HPC machine, the layout of the disk partitions, and when to use the machine. Check the course outline
Minimum requirements: basic Linux knowledge.
- How to write job scripts
- How to submit and delete jobs
- Understand some PBSPro environment variables
- How to use the different disk partitions on the HPC machine
Understand machine limits.
Advanced HPC - Parallel Programming
Duration: 6 hours
This intensive full-day course introduces different parallel programming methods: OpenMP as a widespread method for a shared memory programming model and MPI as the standard for a distributed memory programming model.
It is targeted at C and Fortran programmers. Check the course outline.
Minimum requirements: good knowledge of HPC, with prior experience of writing programs for HPC, or having completed the Beginner and Intermediate HPC courses, experience in writing code in either C or Fortran.
- Understand different parallel programming methods and models
- Design parallel programs
- HPC hardware available through Intersect & NCI
- OpenMP as a widespread shared memory programming model
MPI as the standard for a distributed memory programming model.