Researcher Development Events Calendar

2019 workshops, seminars and events

  • For further information on researcher development workshops and events, please contact Judy Foster (opens in a new window)
  • For video recordings of previous Research Seminar Series events, see the Researcher Development section of MyCareer Online (opens in a new window)

January

DateEvent
  No events scheduled this month                                                                                                          

February

DateEvent
6 Feb

Progressing My Research Project

Facilitator: Dr Sebastian Kernbach (opens in a new window)

Time: 9.30am - 4.30pm

Location: Parramatta South campus - Room EB.G.02

Fee: $200 per person

Please register by 24 January via OneStop (opens in a new window)

11 Feb

eResearch: Introduction to Programming with Python (opens in a new window)

Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and it boasts a rich set of libraries for working with data.

We teach using Jupyter notebooks which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research.

Learning outcomes:

  • Programming concepts and techniques
  • Basic syntax, control structures and data types in Python
  • How to import powerful libraries that support numerical analysis (NumPy) and visualisation (Matplotlib)
  • Approaches to debugging, testing and defensive programming
  • How to blend code, output and documentation with Jupyter notebooks

Facilitator: Darren Gardner

Time: 9:30am - 5:00pm

Location: Bankstown campus - Room 20.G.02

Click on the above link to register

14 Feb

eResearch: Introduction to Programming with R (opens in a new window)

R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework.

Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation (opens in a new window)

Facilitator: Darren Gardner

Time: 9:30am - 5:00pm

Location: Parramatta City campus - Room 1.2.71

Click on the above link to register

22 Feb

eResearch: Research Data Management - workshop cancelled to be rescheduled

This workshop is ideal for researchers who want to know how research data management can support project success and are interested in the research data management services and support available at the University.

Combining slide-based background material, discussions, and case studies this workshop will equip participants with best practices for managing their valuable research data.

Facilitator: Darren Gardner

Time: 9:30am - 12:30pm

Location: Campbelltown campus - Room 10.1.03

Click on the above link to register

25 Feb

eResearch: Intermediate to Advanced Programming in Python (opens in a new window)

Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data.

We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly.

Learning outcomes:

  • Dataframes in Python using the Pandas library
  • Visualisation in Python using the Seaborn and the Matplotlib libraries
  • How to blend code, output and documentation with Jupyter notebooks
  • Advanced programming concepts and techniques in Python

Facilitator: Darren Gardner

Time: 9:30am - 5:00pm

Location: Bankstown campus - Room 1.1.220

Click on the above link to register

28 Feb

eResearch: Intermediate to Advanced Programming in R (opens in a new window)

R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework.

We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly.

Learning outcomes:

  • Advanced programming concepts and techniques in R
  • Dataframe manipulation in R using the dplyr and tidyr packages
  • Visualisation in R using the ggplot2 package
  • Best practices for writing code in R using RStudio

Facilitator: Darren Gardner

Time: 9:30am - 5:00pm

Location: Parramatta City campus - Room 1.2.71

Click on the above link to register

March

DateEvent
8 Mar

International Women's Day - International Women's Day Celebration

By invitiation only

April

DateEvent
29 Apr

eResearch: Excel for Researchers (opens in a new window)

Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data.

While aimed at novice users, most attendees will walk away with new tricks to work more efficiently with their research data.

Time: 9:30am - 4:30pm

Location: Campbelltown campus - Room 12.G.02

Click on the above link to register.

May

DateEvent
1 May

eResearch: Excel for Researchers (opens in a new window)

Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data.

While aimed at novice users, most attendees will walk away with new tricks to work more efficiently with their research data.

Time: 9:30am - 4:30pm

Location: Kingswood campus - Room P.1.52

Click on the above link to register.

31 May

Researcher Development Showcase (opens in a new window)

The Researcher Development Showcase sees thirty of our early and mid-career researchers present the findings of their 2017/2018 Researcher Development project funding.

Time: 9:00am - 1:00pm (including lunch)

Location: Parramatta South campus - Room EB.G.02

Click on the above link to register.

June

DateEvent
13 Jun

Researcher Seminar Series - Fostering an Entrepreneurial Mindset

Time: 9:30am - 12:30pm

Location: Parramatta South campus - EHa.1.23

14 Jun

eResearch: High Performance Computing (HPC) (opens in a new window)

High-Performance Computing (HPC) allows you to accomplish your analysis faster by using many parallel CPUs and huge amounts of memory simultaneously. This course provides a hands on introduction to running software on HPC infrastructure.

You'll learn how to:

  • Connect to an HPC cluster
  • Use the the Unix command line to operate a remote computer and create job scripts
  • Submit and manage jobs on a cluster using a scheduler
  • Transfer files to and from a remote computer
  • Use software through environment modules
  • Use parallelisation to speed up data analysis
  • Access the facilities available to you as a researcher

Time: 9:30am - 5:00pm

Location: Parramatta South campus - EA.LG.17

Click on the above link to register.

July

DateEvent
2 Jul

eResearch: Introduction to Programming with Python (opens in a new window)

Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and it boasts a rich set of libraries for working with data.

We teach using Jupyter notebooks which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research.

Learning outcomes:

  • Programming concepts and techniques
  • Basic syntax, control structures and data types in Python
  • How to import powerful libraries that support numerical analysis (NumPy) and visualisation (Matplotlib)
  • Approaches to debugging, testing and defensive programming
  • How to blend code, output and documentation with Jupyter notebooks

Time: 9:30am - 5:00pm

Location: Parramatta City Campus - 01.6.53

Click on the above link to register.

5 Jul

eResearch: Introduction to Programming with R (opens in a new window)

R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework.

Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation (opens in a new window)

Time: 9:30am - 5:00pm

Location: Bankstown campus - 20.G.42

Click on the above link to register.

10 Jul

eResearch: Research Data Management Techniques (opens in a new window)

This workshop is ideal for researchers who want to know how research data management can support project success and are interested in the research data management services and support available at the University.

Combining slide-based background material, discussions, and case studies this workshop will equip participants with best practices for managing their valuable research data.

Time: 9:30am - 12:30pm

Location: Bankstown campus - 1.1.80

Click on the above link to register.

10 Jul

eResearch: Unix Shell and Command Line Basics (opens in a new window)

The Unix environment is incredibly powerful but quite daunting to the newcomer. Command line confidence unlocks powerful computing resources beyond the desktop, including virtual machines and High Performance Computing. It enables repetitive tasks to be automated. And it comes with a swag of handy tools that can be combined in powerful ways. Getting started is the hardest part, but our helpful instructors are there to demystify Unix as you get to work running programs and writing scripts on the command line.

Every attendee is given a dedicated training environment for the duration of the workshop, with all software and data fully loaded and ready to run.

We teach this course within a GNU/Linux environment. This is best characterised as a Unix-like environment. We teach you how to run commands within the Bash Shell. The skills you'll learn at this course are generally transferable to other Unix environments.

You'll learn how to:

  • navigate and work with files and directories (folders).
  • use a selection of essential tools.
  • combine data and tools to build a processing workflow.
  • automate repetitive analysis using the command line.

Time: 1:00pm - 5:00pm

Location: Bankstown campus - 1.1.80

Click on the above link to register.

12 Jul

eResearch: Research Data Management Techniques (opens in a new window)

This workshop is ideal for researchers who want to know how research data management can support project success and are interested in the research data management services and support available at the University.

Combining slide-based background material, discussions, and case studies this workshop will equip participants with best practices for managing their valuable research data.

Time: 9:30am - 12:30pm

Location: Campbelltown campus - 10.1.06

Click on the above link to register.

17 Jul

eResearch: Intermediate to Advanced Programming in Python (opens in a new window)

Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data.

We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly.

Learning outcomes:

  • Dataframes in Python using the Pandas library.
  • Visualisation in Python using the Seaborn and the Matplotlib libraries.
  • How to blend code, output and documentation with Jupyter notebooks
  • Advanced programming concepts and techniques in Python

Time: 9:30am - 5:00pm

Location: Parramatta City campus - 1.6.53

Click on the above link to register.

18 Jul

eResearch: Intermediate to Advanced Programming in R (opens in a new window)

R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework.

We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly.

Learning outcomes:

  • Advanced programming concepts and techniques in R.
  • Dataframe manipulation in R using the dplyr and tidyr packages.
  • Visualisation in R using the ggplot2 package.
  • Best practices for writing code in R using RStudio

Time: 9:30am - 5:00pm

Location: Bankstown Campus - 1.1.090 (LR16)

Click on the above link to register.

August

DateEvent
6-18 Aug

National Science Week (opens in a new window)

September

DateEvent
18 Sep

eResearch: Programming with R (opens in a new window)

R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework.

But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in.

Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation (software-carpentry.org).

  • Programming concepts and techniques.
  • Basic syntax, control structures and data types in R.
  • How to load external data into R.
  • Ways to visualise data.
  • How to use factors for category data.
  • Best practices for writing code in R.

Time: 9:30 am - 5:00 pm

Location: Parramatta City Campus 01.6.31 (LS)

20 Sep

eResearch: Data Manipulation and Visualisation in R (opens in a new window)

R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework.

We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly.

Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation (http://www.datacarpentry.org/).

  • Data manipulation in R using the dplyr package.
  • Data transformation in R using the tidyr package.
  • Visualisation in R using the ggplot2 package.
  • Best practices for writing code in R using RStudio.

Time: 9:30 am - 5:00 pm

Location: Parramatta City Campus 01.5.82

October

DateEvent
17 Oct

eResearch: Research Data Management (opens in a new window)

Are you drowning in research data? Do you want to know where you should be storing your data? Are you required to comply with funding body data management requirements, but don’t know how?

This workshop is ideal for researchers who want to know how research data management can support project success and are interested in research data management services and support available at their institution. Combining slide-based background material, discussions, and case studies this workshop will equip participants with best practices for managing their valuable research data.

  • How to manage research data  according to legal, statutory, ethical, funding body and university requirements.
  • Approaches to planning, collecting, organising, managing, storing, backing up, preserving, and sharing your data.
  • Services supporting research data at your institution.

Time: 9:30 am - 12:30 pm

Location: Kingswood Campus P.1.52

17 Oct

Unix Shell and Command Line Basics (opens in a new window)

The Unix environment is incredibly powerful but quite daunting to the newcomer. Command line confidence unlocks powerful computing resources beyond the desktop, including virtual machines and High Performance Computing. It enables repetitive tasks to be automated. And it comes with a swag of handy tools that can be combined in powerful ways. Getting started is the hardest part, but our helpful instructors are there to demystify Unix as you get to work running programs and writing scripts on the command line.

Every attendee is given a dedicated training environment for the duration of the workshop, with all software and data fully loaded and ready to run.

We teach this course within a GNU/Linux environment. This is best characterised as a Unix-like environment. We teach how to run commands within the Bash Shell. The skills you'll learn at this course are generally transferable to other Unix environments.

  • navigate and work with files and directories (folders).
  • use a selection of essential tools.
  • combine data and tools to build a processing workflow.
  • automate repetitive analysis using the command line.

Time: 1:00 pm - 5:00 pm

Location: Kingswood Campus P.1.52

21-25
Oct

Research Week (opens in a new window)

Come along to one or more of the twelve Research Week events taking place across our campuses. 

Monday, 21 October - Health and Wellbeing Theme Day
Tuesday, 22 October - Research Impact Competition and Launch of Strategic Research Initiatives
Wednesday, 23 October - Urban Living Futures and Society Theme Day
Thursday, 24 October - Environment and Sustainability Theme Day
Friday, 25 October - Education and Work Theme Day

November

DateEvent
7  Nov

eResearch: Programming with Python (opens in a new window)

Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language. And it boasts a rich set of libraries for working with data.

We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research.

Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation (software-carpentry.org).

  • Programming concepts and techniques
  • Basic syntax, control structures and data types in Python
  • How to import powerful libraries that support numerical analysis (NumPy) and visualisation (Matplotlib)
  • Approaches to debugging, testing and defensive programming
  • How to blend code, output and documentation with Jupyter notebooks

Time: 9:30 am - 5:00 pm

Location: Parramatta City Campus 01.6.53

14 Nov

eResearch: Excel for Researchers (opens in a new window)

Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data.

While aimed at novice users, most attendees will walk away with new tricks to work more efficiently with their research data.

Time: 9:30 am - 4:30 pm

Location: Parramatta City Campus 01.6.53

19 Nov

eResearch: Data Manipulation and Visualisation in R (opens in a new window)

R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework.

We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly.

Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation (http://www.datacarpentry.org/).

  • Data manipulation in R using the dplyr package.
  • Data transformation in R using the tidyr package.
  • Visualisation in R using the ggplot2 package.
  • Best practices for writing code in R using RStudio.

Time: 9:30 am - 5:00 pm

Location: Parramatta City Campus 01.6.53

21 Nov

eResearch: Excel for Researchers (opens in a new window)

Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data.

While aimed at novice users, most attendees will walk away with new tricks to work more efficiently with their research data.

Time: 9:30 am - 4:30 pm

Location: Campbelltown Campus 12.G.02

December

DateEvent
  No events scheduled this month


Please note this calendar is subject to change.