title: Maori & Psychology Research Unit annual report 2004

authors: Rua, Mohi

subjects: Māori & Psychology Research Unit annual report

abstract: Annual report of the Maori and Psychology Research Unit (MPRU) 2004. The unit was established in August of 1997. The unit is designed to provide a catalyst and support network for enhancing research concerning the psychological needs, aspirations, and priorities of Maori people. The MPRU is well situated to draw together skilled and experienced interdisciplinary research groups by networking and establishing working relationships with staff and students within the Faculty of Arts and Social Sciences, the University, and the wider community.

text: Maori & Psychology Research Unit annual report 2004 Annual report of the Maori and Psychology Research Unit (MPRU) 2004. The unit was established in August of 1997. The unit is designed to provide a catalyst and support network for enhancing research concerning the psychological needs, aspirations, and priorities of Maori people. The MPRU is well situated to draw together skilled and experienced interdisciplinary research groups by networking and establishing working relationships with staff and students within the Faculty of Arts and Social Sciences, the University, and the wider community.

year: 2004

title: Bilingual/Immersion education: Indicators of good practice

authors: May, Stephen

subjects: Maori

abstract: Based on a review of national and international research on bilingualism and bilingual/immersion education, this report explores effective approaches for bilingual education. While the focus was on Māori-medium education, the indicators of good practice can also be applied to other bilingual contexts in Aotearoa/New Zealand, such as Pasifika bilingual education.

text: Bilingual/Immersion education: Indicators of good practice Based on a review of national and international research on bilingualism and bilingual/immersion education, this report explores effective approaches for bilingual education. While the focus was on Māori-medium education, the indicators of good practice can also be applied to other bilingual contexts in Aotearoa/New Zealand, such as Pasifika bilingual education.

year: 2004

title: Using convolutional neural networks to value game positions in professional basketball

authors: Gibb, Jacob

subjects: Statistics

abstract: Many professional sports are currently midway through their own “Data Revolutions”, with advances in analytics being driven by the intense competition for even the most minor advantages, although typically being focused on offensive actions within a game, rather than statistics or metrics pertaining to a player’s defensive abilities.
A significant portion of defensive duties is positioning one’s self to prevent opponent actions from occurring at all, and often defensive actions such as tackles or steals are indicative of defensive mistakes rather than an example of good defending.
In other areas, Deep Learning models have shown an uncanny ability to identify trends and perform tasks typically considered too complex for software, and better left to humans. Various Deep Learning models have been designed and developed to estimate the value of positions in multiple sports, and shown to be very promising.
This thesis attempts to contribute to this by investigating the use of Convolutional Neural Networks to estimate the value of basketball possessions. The model predicts both the terminal actions and the expected value of a possession, and achieves good results relative to the closest published literature in similar tests.
Finally, we show how such a model may be utilised to produce metrics describing a player’s positioning ability as a potential tool for player scouting or coaching.

text: Using convolutional neural networks to value game positions in professional basketball Many professional sports are currently midway through their own “Data Revolutions”, with advances in analytics being driven by the intense competition for even the most minor advantages, although typically being focused on offensive actions within a game, rather than statistics or metrics pertaining to a player’s defensive abilities.
A significant portion of defensive duties is positioning one’s self to prevent opponent actions from occurring at all, and often defensive actions such as tackles or steals are indicative of defensive mistakes rather than an example of good defending.
In other areas, Deep Learning models have shown an uncanny ability to identify trends and perform tasks typically considered too complex for software, and better left to humans. Various Deep Learning models have been designed and developed to estimate the value of positions in multiple sports, and shown to be very promising.
This thesis attempts to contribute to this by investigating the use of Convolutional Neural Networks to estimate the value of basketball possessions. The model predicts both the terminal actions and the expected value of a possession, and achieves good results relative to the closest published literature in similar tests.
Finally, we show how such a model may be utilised to produce metrics describing a player’s positioning ability as a potential tool for player scouting or coaching.

year: 2024