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Organiser: Sydney Informatics Hub 

  • A hands-on guide to Semantic Tagger for your text data analysis

    22 March 2023

    A hands-on guide to Semantic Tagger for your text data analysis https://dresa.org.au/events/a-hands-on-guide-to-semantic-tagger-for-your-text-data-analysis **Better Understand Your Texts by Adding Semantic Tags** The Australian Text Analytics Platform (ATAP) project is a project that aims to provide researchers with the tools and training for analysing, processing, and exploring text. As part of this project, we have adapted with permission, a Semantic Tagger, developed by the University Centre for Computer Corpus Research on Language (UCREL) at Lancaster University. This tool uses the Python Multilingual UCREL Semantic Analysis System (PyMUSAS) to tag your text data so that you can extract token level semantic tags from your text. In addition to the USAS tags, this tool can also recognize Multi Word Expressions (MWE), i.e., expressions formed by two or more words that behave like a unit such as 'South Australia', and identifies lemmas and Part-of-Speech (POS) tags in the text. For example, in the sentence 'President Joe Biden attended two meetings today,' the tool will tag each token with its semantic tag like this -\> 'President Joe Biden': MWE of [Personal names], 'attended': [Participating], 'two': [Number], 'meetings': [Participating] and 'today': [Time: Present; simultaneous]. This tool is available in both English and multi-lingual (Chinese, Italian and Spanish) versions and supports saving the results locally for further analysis, enabling you to gain meaningful insights into your research questions. This workshop will be of interest to Researchers and HDR Students in Linguistics, Business, Law, Science, or those who are interested in working with text datasets. No background knowledge of NLP or coding experience is required for this ~1.5 hour long online workshop, to be delivered via Zoom. You can BYO a small dataset (10-15 texts, stored as one text per file or all texts compressed in a zip file) or use one of our sample datasets to get started. _It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date._ _For course details, syllabus, prerequisites and setup instructions, an email will be sent to attendees closer to the date._ **Sydney Informatics Hub** Open to: Academic and Professional Staff, research students, affiliates of The University of Sydney and general public. Please use your official university or research organisation email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc if available. 2023-03-22 15:00:00 UTC 2023-03-22 16:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

  • Introduction to Machine Learning with Orange

    23 March 2023

    Introduction to Machine Learning with Orange https://dresa.org.au/events/introduction-to-machine-learning-with-orange ### **SIH Masterclass Series** In this Masterclass, you will learn how to develop powerful machine learning models without any coding skills using Orange, an open-source data mining software with an intuitive graphical interface. You will learn how to perform exploratory data analysis, visualize complex data, and build and evaluate predictive models without writing a single line of code. Whether you're new to the field or looking to expand your skills, we will provide you with a step-by-step introduction to the world of machine learning and the benefits of using Orange. - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you.** Registered attendees will receive a link to the Zoom event closer to the date. ### 2023-03-23 15:00:00 UTC 2023-03-23 16:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

  • Introduction to Machine Learning in R

    28 - 29 March 2023

    Introduction to Machine Learning in R https://dresa.org.au/events/introduction-to-machine-learning-in-r For course details, syllabus, prerequisites and setup instructions, an email will be sent to attendees closer to the date. **Sydney Informatics Hub** - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you.** **If you need to cancel your registration, please do so ON EVENTBRITE to enable people on the waitinglist to be automatically added to the workshop attendees.** 2023-03-28 09:00:00 UTC 2023-03-29 16:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

  • Multivariate Statistical Analysis 1: Dimension Reduction

    5 April 2023

    Multivariate Statistical Analysis 1: Dimension Reduction https://dresa.org.au/events/multivariate-statistical-analysis-1-dimension-reduction-0fb6ebec-8950-4f74-a31a-726e179283c9 **Multivariate Statistical Analysis 1: Dimension Reduction** In multivariate statistics we simultaneously model and estimate variability in more than one variable often in order to examine the relationship between variables. This workshop examines the key aspects of moving from univariate to multivariate analysis, and the situations and scenarios where multivariate analysis is typically applied. The focus will be on practical application of concepts through examples. **Topics covered will include:** - Motivations for undertaking multivariate analysis - Statistical principles for multivariate analysis - Dimension reduction techniques including principal components analysis (PCA), factor analysis (FA), correspondence analysis (CA) and non-metric multidimensional scaling (nMDS) This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Pre-requisites** Prior experience with statistical modelling is assumed, as the basics of regression modelling will not be covered. Please consider attending Linear Models 1 and/or Linear Models 2 workshops to come up to speed beforehand. Note that this workshop does not require knowledge of or use of specific statistics software. The analysis methods may be performed using a wide range of commonly available software. **Attendance options** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person**: Choose the _**In person**_ ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online**: Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!!** 2023-04-05 09:30:00 UTC 2023-04-05 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

  • Introduction to Survival Analysis

    5 April 2023

    Introduction to Survival Analysis https://dresa.org.au/events/introduction-to-survival-analysis-9d98abbf-40da-4758-9732-705f0fa5c761 Survival analysis is used when you want to measure the time elapsed up to when a specified event occurs. It is commonly used in studies where subjects are followed until death occurs, hence the name. In this workshop we will introduce some key concepts pertaining to survival analysis including censoring of cases, the survival function, and the hazard ratio estimator. The Kaplan Meier survival curve will be explained through a worked example and the technique of Cox proportional hazards regression will be introduced using the same example dataset. Participants will be provided with software code in SPSS and R to reproduce the analysis presented in the workshop. **Attendance options:** **In person:** Choose the _**In person**_ ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2023-04-05 11:30:00 UTC 2023-04-05 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

  • Linear Models 3

    5 April 2023

    Linear Models 3 https://dresa.org.au/events/linear-models-3 **Linear Models 3: Advanced topics, tips and tricks** Discusses topics such as: - Reporting and Interpretation (estimated marginal means, confidence vs prediction intervals, applying and correcting for multiple comparisons, reporting variable \*Importance\*, plus other reporting and interpretation tricks) - Model Parametrisation using the Design Matrix (interpreting categorical predictor parameters, dummy coding, effects coding) - More on Mixed Models (introducing the random slope) This is the third of 3 workshops for researchers interested in statistical methods such as linear regression, ANOVA, ANCOVA, mixed models, logistic/binary and count (Poisson) regression. Each one builds on the preceding workshops and together they show how all these analyses can be performed using the same easy to understand Generalised Linear Mixed Model (GLMM) framework and workflow. As well as how they can be used to analyse experimental designs such as Control vs Treatment, Randomised Control Trials (RCTs), Before After Control Impact (BACI) analysis, repeated measures plus many more. There is also a 4th complementary workshop called Statistical Model Building which we recommend for those experienced with Linear Models or who have done at least the first 2 of our workshops. The material is organised around Statistical Workflows applicable in any software that give step by step instructions on how to do the analysis including assumption testing, model interpretation and presentation of results. **Attendance options:** - **In person**: Choose the **_In person_** ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. - **Online**: Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!!** 2023-04-05 14:00:00 UTC 2023-04-05 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

  • Introduction to Artemis HPC

    11 April 2023

    Introduction to Artemis HPC https://dresa.org.au/events/introduction-to-artemis-hpc-1c2b7843-63e8-4482-8254-dee66437cd4e ### **Sydney Informatics Hub Research Computing Training Series** ## Introduction to the Artemis High Performance Computer (HPC) **Please note: OWN LAPTOP REQUIRED** with a terminal client installed. **Essential pre-requisites**: Competency on the Unix/Linux command line. If you are interested in learning HPC but have no Unix/Linux command-line skills, you should first take an 'Introduction to Unix/Linux' course. We will go through the basics if you have no experience. **Synopsis:** Learn about the University of Sydney's HPC 'Artemis', including directory structure, software, and how to submit and monitor compute jobs using the PBS Pro scheduling software. Also learn about the national HPC facilities and cloud services available. Artemis is available at no cost to University of Sydney staff and students. **Target audience:** Students and staff who would like to learn how to run compute jobs on Artemis HPC. Participants must have a valid USYD unikey. **Follow-on courses:** It is recommended to register for the Data transfer and RDS for HPC course to learn how to move data to Artemis. **Course notes and additional courses:** [https://sydney-informatics-hub.github.io/training.artemis/](https://sydney-informatics-hub.github.io/training.artemis/) **For more information:** Email sih.training@sydney.edu.au **Sign up for email alerts about training:** [https://mailman.sydney.edu.au/mailman/listinfo/computing\_training](https://mailman.sydney.edu.au/mailman/listinfo/computing_training) 2023-04-11 10:30:00 UTC 2023-04-11 13:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

  • Intro to REDCap (webinar)

    19 April 2023

    Intro to REDCap (webinar) https://dresa.org.au/events/intro-to-redcap-webinar-ce1981ae-6452-43a2-b136-988dfe53f2f9 Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Intro to REDCap", we will cover:** - How to build a simple data entry project - How to collect data - How to add users/collaborators - How to export data Please note we will **not cover surveys**, as these are covered separately in our "Surveys in REDCap" training session. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. - This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!! **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2023-04-19 13:00:00 UTC 2023-04-19 15:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

  • Surveys in REDCap (webinar)

    26 April 2023

    Surveys in REDCap (webinar) https://dresa.org.au/events/surveys-in-redcap-webinar-daff3db1-e6aa-4c9b-9117-09d29f2f58cf Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Surveys in REDCap", we will cover:** - How to turn a data collection instrument into a survey - How to distribute surveys - How to work with multiple surveys within a project (e.g. Survey Queue, Automated Survey Invitation features) **Essential pre-requisites:** You must know how to build a basic data entry project in REDCap. Please attend our "Intro to REDCap" webinar to cover this. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. - This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!! **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2023-04-26 13:00:00 UTC 2023-04-26 15:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

  • A Hands-On Introduction to Git in RStudio

    27 April 2023

    A Hands-On Introduction to Git in RStudio https://dresa.org.au/events/a-hands-on-introduction-to-git-in-rstudio ### **SIH Masterclass Series** This Masterclass is an opportunity for you to bring your own laptop and R project, and learn how to use Git and RStudio together for version control and collaboration. We will provide hands-on assistance in getting Git and RStudio to communicate effectively. This Masterclass will highlight the importance of making collaboration transparent for everyone, as well as the benefits of using version control to maintain a clear and comprehensive record of project development. We will provide you with the tools and knowledge you need to collaborate more efficiently and keep your projects organized and reproducible. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the _**In person**_ ticket option. **Online:** Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you.** 2023-04-27 15:00:00 UTC 2023-04-27 16:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

  • Introduction to Machine Learning with Python

    2 - 3 May 2023

    Introduction to Machine Learning with Python https://dresa.org.au/events/introduction-to-machine-learning-with-python For course details, syllabus, prerequisites and setup instructions, an email will be sent to attendees closer to the date. **Sydney Informatics Hub** - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you.** **If you need to cancel your registration, please do so ON EVENTBRITE to enable people on the waitinglist to be automatically added to the workshop attendees.** 2023-05-02 09:00:00 UTC 2023-05-03 16:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

  • Intro to REDCap (webinar)

    8 June 2023

    Intro to REDCap (webinar) https://dresa.org.au/events/intro-to-redcap-webinar-d306dfb0-cbd7-4bec-ac79-a2bd9035f746 Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Intro to REDCap", we will cover:** - How to build a simple data entry project - How to collect data - How to add users/collaborators - How to export data Please note we will **not cover surveys**, as these are covered separately in our "Surveys in REDCap" training session. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. - This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!! **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2023-06-08 10:00:00 UTC 2023-06-08 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

  • Surveys in REDCap (webinar)

    15 June 2023

    Surveys in REDCap (webinar) https://dresa.org.au/events/surveys-in-redcap-webinar-72fc0d9f-7193-42b6-9e47-81f2ae7f1bc4 Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Surveys in REDCap", we will cover:** - How to turn a data collection instrument into a survey - How to distribute surveys - How to work with multiple surveys within a project (e.g. Survey Queue, Automated Survey Invitation features) **Essential pre-requisites:** You must know how to build a basic data entry project in REDCap. Please attend our "Intro to REDCap" webinar to cover this. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. - This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!! **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2023-06-15 10:00:00 UTC 2023-06-15 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

  • A hands-on guide to Semantic Tagger for your text data analysis

    22 March 2023

    A hands-on guide to Semantic Tagger for your text data analysis https://dresa.org.au/events/a-hands-on-guide-to-semantic-tagger-for-your-text-data-analysis **Better Understand Your Texts by Adding Semantic Tags** The Australian Text Analytics Platform (ATAP) project is a project that aims to provide researchers with the tools and training for analysing, processing, and exploring text. As part of this project, we have adapted with permission, a Semantic Tagger, developed by the University Centre for Computer Corpus Research on Language (UCREL) at Lancaster University. This tool uses the Python Multilingual UCREL Semantic Analysis System (PyMUSAS) to tag your text data so that you can extract token level semantic tags from your text. In addition to the USAS tags, this tool can also recognize Multi Word Expressions (MWE), i.e., expressions formed by two or more words that behave like a unit such as 'South Australia', and identifies lemmas and Part-of-Speech (POS) tags in the text. For example, in the sentence 'President Joe Biden attended two meetings today,' the tool will tag each token with its semantic tag like this -\> 'President Joe Biden': MWE of [Personal names], 'attended': [Participating], 'two': [Number], 'meetings': [Participating] and 'today': [Time: Present; simultaneous]. This tool is available in both English and multi-lingual (Chinese, Italian and Spanish) versions and supports saving the results locally for further analysis, enabling you to gain meaningful insights into your research questions. This workshop will be of interest to Researchers and HDR Students in Linguistics, Business, Law, Science, or those who are interested in working with text datasets. No background knowledge of NLP or coding experience is required for this ~1.5 hour long online workshop, to be delivered via Zoom. You can BYO a small dataset (10-15 texts, stored as one text per file or all texts compressed in a zip file) or use one of our sample datasets to get started. _It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date._ _For course details, syllabus, prerequisites and setup instructions, an email will be sent to attendees closer to the date._ **Sydney Informatics Hub** Open to: Academic and Professional Staff, research students, affiliates of The University of Sydney and general public. Please use your official university or research organisation email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc if available. 2023-03-22 15:00:00 UTC 2023-03-22 16:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

  • Introduction to Machine Learning with Orange

    23 March 2023

    Introduction to Machine Learning with Orange https://dresa.org.au/events/introduction-to-machine-learning-with-orange ### **SIH Masterclass Series** In this Masterclass, you will learn how to develop powerful machine learning models without any coding skills using Orange, an open-source data mining software with an intuitive graphical interface. You will learn how to perform exploratory data analysis, visualize complex data, and build and evaluate predictive models without writing a single line of code. Whether you're new to the field or looking to expand your skills, we will provide you with a step-by-step introduction to the world of machine learning and the benefits of using Orange. - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you.** Registered attendees will receive a link to the Zoom event closer to the date. ### 2023-03-23 15:00:00 UTC 2023-03-23 16:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

  • Introduction to Machine Learning in R

    28 - 29 March 2023

    Introduction to Machine Learning in R https://dresa.org.au/events/introduction-to-machine-learning-in-r For course details, syllabus, prerequisites and setup instructions, an email will be sent to attendees closer to the date. **Sydney Informatics Hub** - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you.** **If you need to cancel your registration, please do so ON EVENTBRITE to enable people on the waitinglist to be automatically added to the workshop attendees.** 2023-03-28 09:00:00 UTC 2023-03-29 16:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

  • Multivariate Statistical Analysis 1: Dimension Reduction

    5 April 2023

    Multivariate Statistical Analysis 1: Dimension Reduction https://dresa.org.au/events/multivariate-statistical-analysis-1-dimension-reduction-0fb6ebec-8950-4f74-a31a-726e179283c9 **Multivariate Statistical Analysis 1: Dimension Reduction** In multivariate statistics we simultaneously model and estimate variability in more than one variable often in order to examine the relationship between variables. This workshop examines the key aspects of moving from univariate to multivariate analysis, and the situations and scenarios where multivariate analysis is typically applied. The focus will be on practical application of concepts through examples. **Topics covered will include:** - Motivations for undertaking multivariate analysis - Statistical principles for multivariate analysis - Dimension reduction techniques including principal components analysis (PCA), factor analysis (FA), correspondence analysis (CA) and non-metric multidimensional scaling (nMDS) This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Pre-requisites** Prior experience with statistical modelling is assumed, as the basics of regression modelling will not be covered. Please consider attending Linear Models 1 and/or Linear Models 2 workshops to come up to speed beforehand. Note that this workshop does not require knowledge of or use of specific statistics software. The analysis methods may be performed using a wide range of commonly available software. **Attendance options** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person**: Choose the _**In person**_ ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online**: Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!!** 2023-04-05 09:30:00 UTC 2023-04-05 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

  • Introduction to Survival Analysis

    5 April 2023

    Introduction to Survival Analysis https://dresa.org.au/events/introduction-to-survival-analysis-9d98abbf-40da-4758-9732-705f0fa5c761 Survival analysis is used when you want to measure the time elapsed up to when a specified event occurs. It is commonly used in studies where subjects are followed until death occurs, hence the name. In this workshop we will introduce some key concepts pertaining to survival analysis including censoring of cases, the survival function, and the hazard ratio estimator. The Kaplan Meier survival curve will be explained through a worked example and the technique of Cox proportional hazards regression will be introduced using the same example dataset. Participants will be provided with software code in SPSS and R to reproduce the analysis presented in the workshop. **Attendance options:** **In person:** Choose the _**In person**_ ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2023-04-05 11:30:00 UTC 2023-04-05 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

  • Linear Models 3

    5 April 2023

    Linear Models 3 https://dresa.org.au/events/linear-models-3 **Linear Models 3: Advanced topics, tips and tricks** Discusses topics such as: - Reporting and Interpretation (estimated marginal means, confidence vs prediction intervals, applying and correcting for multiple comparisons, reporting variable \*Importance\*, plus other reporting and interpretation tricks) - Model Parametrisation using the Design Matrix (interpreting categorical predictor parameters, dummy coding, effects coding) - More on Mixed Models (introducing the random slope) This is the third of 3 workshops for researchers interested in statistical methods such as linear regression, ANOVA, ANCOVA, mixed models, logistic/binary and count (Poisson) regression. Each one builds on the preceding workshops and together they show how all these analyses can be performed using the same easy to understand Generalised Linear Mixed Model (GLMM) framework and workflow. As well as how they can be used to analyse experimental designs such as Control vs Treatment, Randomised Control Trials (RCTs), Before After Control Impact (BACI) analysis, repeated measures plus many more. There is also a 4th complementary workshop called Statistical Model Building which we recommend for those experienced with Linear Models or who have done at least the first 2 of our workshops. The material is organised around Statistical Workflows applicable in any software that give step by step instructions on how to do the analysis including assumption testing, model interpretation and presentation of results. **Attendance options:** - **In person**: Choose the **_In person_** ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. - **Online**: Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!!** 2023-04-05 14:00:00 UTC 2023-04-05 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

  • Introduction to Artemis HPC

    11 April 2023

    Introduction to Artemis HPC https://dresa.org.au/events/introduction-to-artemis-hpc-1c2b7843-63e8-4482-8254-dee66437cd4e ### **Sydney Informatics Hub Research Computing Training Series** ## Introduction to the Artemis High Performance Computer (HPC) **Please note: OWN LAPTOP REQUIRED** with a terminal client installed. **Essential pre-requisites**: Competency on the Unix/Linux command line. If you are interested in learning HPC but have no Unix/Linux command-line skills, you should first take an 'Introduction to Unix/Linux' course. We will go through the basics if you have no experience. **Synopsis:** Learn about the University of Sydney's HPC 'Artemis', including directory structure, software, and how to submit and monitor compute jobs using the PBS Pro scheduling software. Also learn about the national HPC facilities and cloud services available. Artemis is available at no cost to University of Sydney staff and students. **Target audience:** Students and staff who would like to learn how to run compute jobs on Artemis HPC. Participants must have a valid USYD unikey. **Follow-on courses:** It is recommended to register for the Data transfer and RDS for HPC course to learn how to move data to Artemis. **Course notes and additional courses:** [https://sydney-informatics-hub.github.io/training.artemis/](https://sydney-informatics-hub.github.io/training.artemis/) **For more information:** Email sih.training@sydney.edu.au **Sign up for email alerts about training:** [https://mailman.sydney.edu.au/mailman/listinfo/computing\_training](https://mailman.sydney.edu.au/mailman/listinfo/computing_training) 2023-04-11 10:30:00 UTC 2023-04-11 13:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

  • Intro to REDCap (webinar)

    19 April 2023

    Intro to REDCap (webinar) https://dresa.org.au/events/intro-to-redcap-webinar-ce1981ae-6452-43a2-b136-988dfe53f2f9 Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Intro to REDCap", we will cover:** - How to build a simple data entry project - How to collect data - How to add users/collaborators - How to export data Please note we will **not cover surveys**, as these are covered separately in our "Surveys in REDCap" training session. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. - This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!! **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2023-04-19 13:00:00 UTC 2023-04-19 15:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

  • Surveys in REDCap (webinar)

    26 April 2023

    Surveys in REDCap (webinar) https://dresa.org.au/events/surveys-in-redcap-webinar-daff3db1-e6aa-4c9b-9117-09d29f2f58cf Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Surveys in REDCap", we will cover:** - How to turn a data collection instrument into a survey - How to distribute surveys - How to work with multiple surveys within a project (e.g. Survey Queue, Automated Survey Invitation features) **Essential pre-requisites:** You must know how to build a basic data entry project in REDCap. Please attend our "Intro to REDCap" webinar to cover this. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. - This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!! **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2023-04-26 13:00:00 UTC 2023-04-26 15:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

  • A Hands-On Introduction to Git in RStudio

    27 April 2023

    A Hands-On Introduction to Git in RStudio https://dresa.org.au/events/a-hands-on-introduction-to-git-in-rstudio ### **SIH Masterclass Series** This Masterclass is an opportunity for you to bring your own laptop and R project, and learn how to use Git and RStudio together for version control and collaboration. We will provide hands-on assistance in getting Git and RStudio to communicate effectively. This Masterclass will highlight the importance of making collaboration transparent for everyone, as well as the benefits of using version control to maintain a clear and comprehensive record of project development. We will provide you with the tools and knowledge you need to collaborate more efficiently and keep your projects organized and reproducible. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the _**In person**_ ticket option. **Online:** Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you.** 2023-04-27 15:00:00 UTC 2023-04-27 16:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

  • Introduction to Machine Learning with Python

    2 - 3 May 2023

    Introduction to Machine Learning with Python https://dresa.org.au/events/introduction-to-machine-learning-with-python For course details, syllabus, prerequisites and setup instructions, an email will be sent to attendees closer to the date. **Sydney Informatics Hub** - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you.** **If you need to cancel your registration, please do so ON EVENTBRITE to enable people on the waitinglist to be automatically added to the workshop attendees.** 2023-05-02 09:00:00 UTC 2023-05-03 16:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

  • Intro to REDCap (webinar)

    8 June 2023

    Intro to REDCap (webinar) https://dresa.org.au/events/intro-to-redcap-webinar-d306dfb0-cbd7-4bec-ac79-a2bd9035f746 Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Intro to REDCap", we will cover:** - How to build a simple data entry project - How to collect data - How to add users/collaborators - How to export data Please note we will **not cover surveys**, as these are covered separately in our "Surveys in REDCap" training session. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. - This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!! **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2023-06-08 10:00:00 UTC 2023-06-08 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

  • Surveys in REDCap (webinar)

    15 June 2023

    Surveys in REDCap (webinar) https://dresa.org.au/events/surveys-in-redcap-webinar-72fc0d9f-7193-42b6-9e47-81f2ae7f1bc4 Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Surveys in REDCap", we will cover:** - How to turn a data collection instrument into a survey - How to distribute surveys - How to work with multiple surveys within a project (e.g. Survey Queue, Automated Survey Invitation features) **Essential pre-requisites:** You must know how to build a basic data entry project in REDCap. Please attend our "Intro to REDCap" webinar to cover this. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. - This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!! **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2023-06-15 10:00:00 UTC 2023-06-15 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

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