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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.
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]
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.
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.
