News: staff news
Strata Management Challenge
ThincLab is supporting an initiative to rethink the way that strata communities are managed in residential developments large and small. If you are a creative thinker who has a view of the challenges of strata management, RSVP before Friday 13 September to be involved in exploring ways in which strata can be improved.
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.
[Read more about Program Student Experience of Learning and Teaching survey]
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.
[Read more about Images of Learning and Teaching competition - extended]
Council News
The University Council met on Monday 26 August. The Chancellor reported on key activities and an update was provided by the Vice-Chancellor. A summary of the meeting is available in the latest issue of Council News.
Commendations for the Enhancement of and Innovation in Student Learning
The Commendations recognise the diverse range of activities, services and programs that contribute to student learning and engagement at the University. They serve to highlight the important role that staff from all areas have in supporting us to achieve our strategic goals. Applications are due by 9 am Tuesday 1 October via the form.
[Read more about Commendations for the Enhancement of and Innovation in Student Learning]
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.
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.
Tiny®Habits for Supervisory Success
In this masterclass, supervisors will learn and practice a toolkit for building better habits for more effective, quality-driven and thriving supervisory relationships. Supervisors will learn the Tiny®Habits method and how to design for success in research, wellbeing and beyond. Tuesday 24 September, 11.30 am to 1.30 pm. Register.
Celebrating our colleagues: Emily Kelly
I think one of the greatest joys in life is communicating with people in different ways. For me, that’s on a stage, musically, with people in a group – it’s one of the most rewarding things you can do.
Time off for study procedure
Human Resources has conducted a cyclical review of the Time off for Study Procedure. Minor amendments have been approved and the updated procedure is effective immediately.
