31 August 2022

CaRST eNewsletter

Another exciting event on the calendar is the 3 Minute Thesis, with the University Final on 13^th September. Tickets for the event are limited, so if you’d like to come along, book your ticket now. Book here.

Best,

Katy Dolman
Manager, CaRST

Career Control for Researchers - Applications now open

Career Control for Researchers is an online program which gives HDR students the tools, guidance and confidence to take charge of their career direction, determine their own priorities and accelerate their progress. This online program is delivered over an 8 weeks timeframe and includes live, web-based discussion with career specialists.  You will also complete self-paced modules with a total average time commitment of 1-1.5 hours per week. This program is recognised for 13 CaRST credits in Domain B.

This course will run from 4 October 2022 to 25 November 2022, and the Expressions of Interest for this program are now open. 

To register your interest in the course, please complete and submit the online Expression of interest form by COB Wednesday 7 September 2022 

Training & Development Events

Before registering for CaRST events, please review our no-show policy.

CaRST information session  

When: 7 September 2022, 10:00am - 11:00pm
Credits: 1 credit, Domain C
Delivery mode: Zoom webinar

Career and Research Skills Training (CaRST) is a compulsory component of the PhD and Masters of Philosophy degrees. This Information Session provides an opportunity to learn about the program requirements, procedures and how to ensure you make the most of the program. Register here. 

Working with your supervisor- HMS

When: 14 September 2022, 10:30pm - 11:30pm
Credits: 2 credits, Domain D
Delivery mode: In person

The relationship you have with your supervisor is crucial in determining your PhD experience. They are your primary source of guidance as you undertake an individual research project and even the best student/supervisor relationships can experience periods of strain through the ups and downs of research. In this workshop you will learn what you can do to establish a positive working relationship with your supervisor and ultimately get the most out of your HDR experience. Register here. 

Please note: This session is for Faculty of Health and Medical Sciences

Social media networks for Researchers 

When: 19 September 2022, 2:00pm – 3:00pm 
Credits: 1 credit, Domain D
Delivery mode: Zoom webinar

Social media is the most effective tool available to the researcher to tell the stories of their research.  
But all too often researchers shy away from social media because they see it as a distraction from their research work. This fear is compounded when social media gurus suggest that hours per week need to be devoted to each platform to make them effective.This seminar will explain a different approach to social media specifically tailored to the needs of researchers and recognising the restrictions on their time and resources. In this seminar, Paul Willis from Media Engagement Services will explain why social media is so important for researchers and how to create a social media network that tells the story of their research. Register here. 

Working with your supervisor- ABLE

When: 21 September 2022, 2:00 pm - 4:00 pm
Credits: 2 credits, Domain D
Delivery mode: In person

The relationship you have with your supervisor is crucial in determining your PhD experience. They are your primary source of guidance as you undertake an individual research project and even the best student/supervisor relationships can experience periods of strain through the ups and downs of research. In this workshop you will learn what you can do to establish a positive working relationship with your supervisor and ultimately get the most out of your HDR experience. Register here. 

Please note: This session is for Faculty of Arts, Business, Law and Economics 

Working with your supervisor- SET

When: 23 September 2022, 10:00 am - 12:00 pm
Credits: 2 credits, Domain D
Delivery mode: In person

The relationship you have with your supervisor is crucial in determining your PhD experience. They are your primary source of guidance as you undertake an individual research project and even the best student/supervisor relationships can experience periods of strain through the ups and downs of research. In this workshop you will learn what you can do to establish a positive working relationship with your supervisor and ultimately get the most out of your HDR experience. Register here. 

Please note: This session is for Faculty of Science, Engineering and Technology 

Other Training & Events

Traversing T-Tests in R 

This live coding workshop is designed to familiarise you with basic statistical concepts in R. We will manipulate data, check assumptions, perform statistical tests and create visualisations along the way. This is not an advanced statistics course, but is instead designed to gently introduce you to statistical comparisons and hypothesis testing in R. This course assumes familiarity with R and RStudio. You should have a good understanding of the language, programming concepts, and the use of packages. Zoom Meeting, limited places 1 September 12:30pm - 3:30pm. Register here 

Hacky hours 

Hacky hour is an informal bi-monthly meetup for researchers to discuss technology-related problems they may be facing in their research with each other. Experts will be on hand to advise on problems related to coding, data analytics, or digital tools. If you have a problem in one of those areas: bring it along and get help. Even if you don’t have any problems you want solved, come along to help solve someone else’s! Open to all researchers. This Activity can’t be claim for CaRST credits. Zoom Meeting, limited places 2nd and 4th Tuesday of every Month, 9 August and 23 of August 3:00pm - 4:00pm. Register here 

Please note Hacky Hours are not eligible for CaRST credit. 

Data manipulation and visualisation in R 

Do you have a good knowledge of the basic concepts and techniques in R and want to level up? In this workshop, you will learn how to use popular packages to manipulate, explore and get insights from your data, and how to visualise the results. Zoom Meeting, limited places 6-7 September 2022, 1:30pm - 4:30pm. Register here 

Digital Humanities Lab: Learning and engaging in gaming and interactive environments 

In this webinar we’ll hear from two researchers exploring gaming and interactive environments, and how we learn and think about history in those spaces. Tamika Glouftsis, School of Humanities, will share her research around critical historical thinking through interactivity, and Dr Rhett Loban, Macquarie University School of Education, will discuss his own experience designing Torres Strait VR and modding existing grand strategy game environments and the learning and engagement opportunities and challenges involved. (1 credit, Domain A), Zoom webinar, Tuesday 6 September 2022, 10:30 am – 11:30 am. Register here  

Introduction to Machine Learning using Python: Introduction and Linear Regression 

In this live coding workshop, we explain the fundamentals of Machine Learning and provide a comprehensive introduction to Linear Regression and Model Training. We use Python to apply the knowledge on real-world datasets. We hope after this hands-on workshop, you will have a better understanding of these Machine Learning models and techniques and appreciate its capability, as well as make better informed decisions on how to leverage Machine Learning in your research. Prerequisites: Either Learn to Program: Python and Data Manipulation in Python or Learn to Program: Python and Data Manipulation and Visualisation in Python needed to attend this course. If you already have experience with programming, please check the topics covered in the Learn to Program: Python, Data Manipulation in Python and Data Manipulation and Visualisation in Python courses to ensure that you are familiar with the knowledge needed for this course, such as good understanding of Python syntax and basic programming concepts and familiarity with Pandas, Numpy and Seaborn libraries. Zoom Meeting, limited places 27-28 September 2022, 9:30am - 12:30pm. Register here 

Introduction to Machine Learning using Python: Classification

In this live coding workshop, we provide a comprehensive introduction to the Classification models in Machine Learning and use Python to apply the knowledge on real-world datasets. We hope after this hands-on workshop, you will have a better understanding of these Machine Learning models and techniques and appreciate its capability, as well as make better informed decisions on how to leverage Machine Learning in your research.
Prerequisites: Either Learn to Program: Python and Data Manipulation in Python or Learn to Program: Python and Data Manipulation and Visualisation in Python needed to attend this course. If you already have experience with programming, please check the topics covered in the Learn to Program: Python, Data Manipulation in Python and Data Manipulation and Visualisation in Python courses to ensure that you are familiar with the knowledge needed for this course, such as good understanding of Python syntax and basic programming concepts and familiarity with Pandas, Numpy and Seaborn libraries. Zoom Meeting, limited places 4-5 October 2022, 9:30am - 12:30pm. Register here 

Introduction to Machine Learning using Python: SVM and Unsupervised Learning

In this live coding workshop, we provide a comprehensive introduction to Support Vector Machine and Unsupervised models in Machine Learning. We use Python to apply the knowledge on real-world datasets. We hope after this hands-on workshop, you will have a better understanding of these Machine Learning models and techniques and appreciate its capability, as well as make better informed decisions on how to leverage Machine Learning in your research. Prerequisites: Either Learn to Program: Python and Data Manipulation in Python or Learn to Program: Python and Data Manipulation and Visualisation in Python needed to attend this course. If you already have experience with programming, please check the topics covered in the Learn to Program: Python, Data Manipulation in Python and Data Manipulation and Visualisation in Python courses to ensure that you are familiar with the knowledge needed for this course, such as good understanding of Python syntax and basic programming concepts and familiarity with Pandas, Numpy and Seaborn libraries. Zoom Meeting, limited places 11 October 2022, 9:30am - 12:30pm. Register here 

CaRST Tip

NEWS

R U OK?Day

R U OK?Day is Thursday 8 September 2022.

It’s our national day of action when we remind Australians that every day is the day to  ask, ‘are you OK?’ and start a meaningful conversation whenever they spot the signs that someone they care about might be struggling with life. Collect your free cupcake, conversation card and say hi to the Wellbeing Warriors in the Hub, Thursday 8 September 10-12pm. More information and resources here.

About CaRST

Located within the Adelaide Graduate Centre, CaRST is a specialised training and development program for HDR students at the University of Adelaide. For further information on CaRST visit the CaRST website.