Welcome to the School of Computer Science
Welcome to New Zealand's leading computer science school. We pride ourselves on the excellence of our staff and our students.
Orientation 2019
Received an offer of place for 2019? Find out what you need to do before you arrive, what to expect at your Orientation day and where to go for more support. Read more.
New law may have impact on privacy
Australia has passed a law empowering police to force technology companies to provide a way of snooping on encrypted communications. Dr Paul Ralph talks to the AM Show about the ramifications.
Join us for the 2019 Ihaka Lectures
Following on from the success of 2018, this year's theme is 'Rise of the machine learners: Statistical learning in the computational era'. The series will run from 13 March to 3 April. Find out more.
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Educator and philanthropist awarded Honorary Doctorate
23 January 2019German-born scientist and education philanthropist Dr Beate Schuler will be awarded an Honorary Doctorate of Science from the University of Auckland. -
Misinfodemic | When fake news costs lives
10 January 2019Dr Paul Ralph contributes to a Listener magazine article on fake news and what to do about it. Read his tips for detecting fake science, using social media and more. -
Meet the new Science Scholars director
06 December 2018Dr Rhys Jones of the Department of Statistics has been named director of the innovative Science Scholars programme at the University of Auckland. -
Kathleen Curtis Atrium naming ceremony
30 November 2018The Faculty of Science proudly renames the plaza atrium of the Science Centre after prestigious alumna Kathleen Curtis to commemorate 125 years of Women’s Suffrage in New Zealand. -
University of Auckland science research attracts major funding
08 November 2018Three of 15 leading-edge research projects within the Faculty of Science at the University of Auckland have attracted funding from this year’s Marsden fund. Find out more.
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Ihaka Lecture Series | One | Open source Machine Learning @ Waikato Event as iCalendar
13 March 2019, 6:30pmLaunching our 2019 Ihaka Lecture Series, Professor Bernhard Pfahringer will introduce a number of open-source Machine Learning software suites, reflect on their design decisions and issues, and try to position them in the current international Machine Learning landscape. -
Ihaka Lecture Series | Two | Machine Learning with TensorFlow and R Event as iCalendar
20 March 2019, 6:30pmIn the second lecture of the 2019 Ihaka lecture series, JJ Allaire (CEO of RStudio) will talk about the R interface to TensorFlow, a suite of packages that provide high-level interfaces to both deep learning models (Keras) and standard regression and classification models (Estimators). -
Ihaka Lecture Series | Three | Algorithmic fairness: Examples from predictive models for criminal justice Event as iCalendar
27 March 2019, 6:30pmIn the third of the 2019 Ihaka lecture series, Dr Kristian Lum will demonstrate how – if considerations of fairness and bias are not explicitly accounted for – predictive models could perpetuate and, under some circumstances, amplify undesirable historical biases encoded in the data. -
Ihaka Lecture Series | Four | Statistical learning and sparsity Event as iCalendar
03 April 2019, 6:30pmIn the last of the 2019 Ihaka lecture series, Professor Robert Tibshirani will review the lasso method for high dimensional supervised learning and discuss some new developments in the area. he will also describe some applications of these methods to his own collaborative work.
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Apply now for a 2019 graduate teaching assistant opportunity
03 December 2018The Faculty of Science invites expressions of interest from postgraduate students for Graduate Teaching Assistant (GTA) positions in 2019. -
Seeking an MSc student | for fully funded research
16 November 2018Dr Emma Carroll is seeking a suitable candidate for a masters project looking at functional differences in southern right whale genomes linked to population structure and foraging traditions. A background in genomics/genetics and experience with coding would be ideal. Find out more.