Researcher Development Events Calendar

Janurary

DateEvent
 No events scheduled this month                                                                                                          

Feburary

DateEvent
6 Feb

Progressing 'My Research Project'(opens in a new window)

Facilitator: Dr Sebastian Kernback(Opens in a new window)

Time: 9.30-4.30pm

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

Fees: $200 per person

Register by 24th January via OneStop.

11 Feb

eResearch: Introduction to Programming with Python

Facilitator: Darren Gardner

Time: 9:30am - 5:00pm

Location: Bankstown campus - Room 20.G.02

Registration opens soon.

14 Feb

eResearch: Introduction to Programming with R

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

Registration opens soon.

22 Feb

eResearch: Research Data Management

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: 10:00am - 12:30pm

Location: Campbelltown Campus - Room 10.1.03

Registration opens soon.

25 Feb

eResearch: Immediate to Advanced Programming in Python

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

Registration opens soon.

28 Feb

eResearch: Intermediate to Advanced Programming in R

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,

Registration opens soon.

March

DateEvent
8 MarInternational Women's Day - Executive Speed Mentoring Luncheon                                                                                

April

DateEvent
1 AprResearcher Development Awards Open
29 Apr

eResearch: Excel for Researchers

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.

Facilitator: Darren Gardner

Time: 9:30am - 4:30pm

Location: Campbelltown Campus - Room 12.G.02

Registrations open soon.

May

DateEvent
1 May

eResearch: Excel for Researchers

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.

Facilitator: Darren Gardner

Time: 9:30am - 4:30pm

Location: Kingswood Campus - Room P.1.52

31 May

Researcher Development Showcase

Come along to the showcase event where you will see 30 of Western Sydney University's early and mid career researchers present the findings of their 2017/2018 Researcher Development project funding across the array of the University's research themes.

Details:

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

Time: 9:30am to 1pm (including lunch)

Registrations to open in April.

June

DateEvent
14 Jun

eResearch - HPC - High Performance Computing

Have you mistakenly overwritten programs or data and want to learn techniques to avoid repeating the loss? Version control systems are one of the most powerful tools available for avoiding data loss and enabling reproducible research. While the learning curve can be steep, our trainers are there to answer all your questions while you gain hands on experience in using Git, one of the most popular version control systems available.

Join us for this workshop where we cover the fundamentals of version control using the researcher-focused training modules from the highly regarded Software Carpentry Foundation (software-carpentry.org).

You'll learn how to:

  • Keep versions of data, scripts, and other files
  • Examine commit logs to find which files were changed when
  • Restore earlier versions of files
  • Compare changes between versions of a file

Facilitator: Darren Gardner

Time: 9:30am - 5:00pm

Location: Parramatta South - EA.LG.17

Registrations open soon.

July

DateEvent
3 Jul

eResearch: Introduction to Programming with Python

Facilitator: Darren Gardner

Time: 9:30am - 5:00pm

Location: Parramatta City - Room TBA

Registrations open soon.
4 JulResearcher Seminar Series
5 Jul

eResearch: Introduction to Programming with R

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: Bankstown Campus - Room TBA

Registrations open soon.

10 Jul

eResearch: Introduction to Unix

This course is aimed at researchers and PhD students who have never used high performance computing (HPC) before or have had only limited exposure. It will introduce you to the Unix environment and show you how to transfer your data onto, and run software on HPC infrastructure.

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

Registrations open soon.

10 Jul

eResearch: Research Data Management

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: 10:00am - 12:30pm

Location: Bankstown

Registrations dpen soon.

12 Jul

eResearch: Research Data Management

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: 10:00am - 12:30pm

Location: Campbelltown

Registrations dpen soon.

17 Jul

eResearch: Immediate to Advanced Programming in Python

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: Parramatta City

Registrations open soon.

19 Jul

eResearch: Intermediate to Advanced Programming in R

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: Kingswood

Registrations open soon.

August

DateEvent
11-20 Aug

National Science Week

Events to be scheduled - Call for EOI's in March 2019.

12 Aug Researcher Development Awards Close

September

DateEvent
18 Sep

eResearch: Introduction to Unix and Research Data Management (opens in a new window)

This course is aimed at researchers and PhD students who have never used high performance computing (HPC) before or have had only limited exposure. It will introduce you to the Unix environment and show you how to transfer your data onto, and run software on HPC infrastructure.

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 - 5:00pm

Location: Kingswood Click on the above link to register

19 SepResearcher Seminar Series(Opens in a new window)
20 Sep

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.

Facilitator: Darren Gardner

Time: 9:30am - 4:30pm

Location: Kingswood Click on the above link to register

October

DateEvent

28 Oct - 1 Nov

Research Week                                                                                                                                                                           
30 Oct

eResearch: Research Data Management(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: 10:00am - 12:30pm

Location: Hawkesbury Click on the above link to register

November

DateEvent
1 Nov

eResearch: Research Data Management(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: 10:00am - 12:30pm

Location:  Werrington Click on the above link to register

20 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.

Facilitator: Darren Gardner

Time: 9:30am - 4:30pm

Location: Campbelltown Click on the above link to register

22 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.

Facilitator: Darren Gardner

Time: 9:30am - 4:30pm

Location: Parramatta Click on the above link to register

December

DateEvent
 No events scheduled this month.


Please note this calendar is subject to change.

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)

Please note: All workshops have a $100 'no show' fee if notice is not provided within 48 hours of the event. This will be charged to your school or institute.