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Deputy Vice-Chancellor's message

Professor Jennie Shaw

The breadth of talent in learning and teaching that we are so fortunate to have at the University of Adelaide deserves to be nurtured and celebrated. Over the coming weeks, I encourage you to take part in two events that are focussed on growing our strong culture of learning and teaching.

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Next subset of Adelaide University programs go live

On 15 July, Adelaide University launched the first subset of coursework programs for promotion to prospective students. Late last week, the second subset of 27 programs were released and feature on the Adelaide University website, across a range of disciplines including Animal and Veterinary Science, Psychology, Health and Biomedical Sciences, Midwifery, Engineering, Social Sciences, Commerce and Economics and Wine and Agriculture.

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Research and Research Training Domain Town Hall - Signature Research Themes

This virtual event will focus on the Signature Research Themes (SRTs) and is open to all staff interested in staying informed on and participating in research strategy creation leading up to our transition to the new Adelaide University. Thursday 14 November, 1011 am. Online

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Casual Engagement Essentials Series - September

The HR Branch is running a series of education sessions titled Casual Engagement Essentials. Attendance is strongly encouraged for timesheet validators and supervisors of casual staff but is open to anyone else involved in the casual engagement process. These sessions will provide information about our obligations and various strategies we can use to support our casual workforce. More information

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Program Student Experience of Learning and Teaching survey

Evaluation is a central component of professional development, course/program development and the University's quality assurance process. One of the major evaluation tools used at the University is the Student Experience of Learning and Teaching (SELT) system. This year's Program SELT survey is open from Monday 2 September to Sunday 22 September. More information

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2025 New Colombo Plan Mobility Program round open

Applications are open for academic and professional staff to apply for New Colombo Plan Mobility Program funding to support Australian undergraduate students’ participation in study, language training, internships, practicums and research in the Indo-Pacific region. Projects must be a minimum of 28 days duration, up to a full semester. Internal application deadline is Monday 23 September, 9 am. For details email short.programs@adelaide.edu.au

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Images of Learning and Teaching competition - extended

The due date for 2024 Images of Learning and Teaching competition entries has been extended until Sunday 15 September. Entries are welcome from all students and staff to celebrate the diversity, innovation, and creativity of the learning and teaching at the University. More information.

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PYTHON207: SVM & Unsupervised Learning

Comprehensive introduction to Machine Learning models and techniques such as Support Vector Machine, K-Nearest Neighbor and Dimensionality Reduction. Know the differences between various core Machine Learning models. Understand the Machine Learning modelling workflows. Use Python and scikit-learn to process real datasets, train and apply Machine Learning models. Wednesday 25 September, 9.30 am to 12.30 pm. Online. Register.

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PYTHON206: Intro to ML classification

Comprehensive introduction to Machine Learning models and techniques such as Logistic Regression, Decision Trees and Ensemble Learning. Know the differences between various core Machine Learning models. Understand the Machine Learning modelling workflows. Use Python and scikit-learn to process real datasets, train and apply Machine Learning models. Thursday 19 to Friday 20 September, 9.30 am to 12.30 pm. Online. Register.

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PYTHON205: Intro to Machine Learning

Machine Learning is a new way to program computers to solve real-world problems. It has gained popularity by achieving tremendous success in tasks that we believed only humans could solve. In this course, we explore the fundamentals of Machine Learning from a practical perspective using Python programming language. Tuesday 10 to Wednesday 11 September, 1.30–4.30 pm. Online. Register.

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