Human behaviour prediction system
The student's final year project consists of 2 major components. First component, consist of the literary review of Schema Therapy, which the student is tasked to delve into, to understand the ideologies and the developments of the therapy. In Schema Therapy, the student is required to under...
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2011
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sg-ntu-dr.10356-453652023-07-07T17:26:33Z Human behaviour prediction system Yeo, Louis Zhi Yuan. Tan Cher Ming School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems The student's final year project consists of 2 major components. First component, consist of the literary review of Schema Therapy, which the student is tasked to delve into, to understand the ideologies and the developments of the therapy. In Schema Therapy, the student is required to understand and appreciated the nuances of the 18 Schemas, the student is had to learn about the origin of the Schemas, what causes them and why is it that such an occurrence would happen. The student is then required to place all the principles together to develop a system to help educate the public. The second component is to educate the public. In order to provide the system with user interactions and also a user-friendly approach to the masses, the system was to be developed using Abode Flash CS5 Professional. The system developed provided users a good platform to learn about Schema Therapy aside from the dreary and non interactive books, it also provided the users a systematic approach to learn about the main concepts of Schema Therapy, as well as the signs to look for out in order to prevent their children from being afflicted with the various Schemas. The application developed also provided the users with built in questionnaires to allow the readers to diagnose the Schemas affecting them. Bachelor of Engineering 2011-06-13T03:15:43Z 2011-06-13T03:15:43Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/45365 en Nanyang Technological University 513 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Yeo, Louis Zhi Yuan. Human behaviour prediction system |
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The student's final year project consists of 2 major components. First component, consist of the literary review of Schema Therapy, which the student is tasked to delve into, to understand the ideologies and the developments of the therapy.
In Schema Therapy, the student is required to understand and appreciated the nuances of the 18 Schemas, the student is had to learn about the origin of the Schemas, what causes them and why is it that such an occurrence would happen. The student is then required to place all the principles together to develop a system to help educate the public.
The second component is to educate the public. In order to provide the system with user interactions and also a user-friendly approach to the masses, the system was to be developed using Abode Flash CS5 Professional.
The system developed provided users a good platform to learn about Schema Therapy aside from the dreary and non interactive books, it also provided the users a systematic approach to learn about the main concepts of Schema Therapy, as well as the signs to look for out in order to prevent their children from being afflicted with the various Schemas. The application developed also provided the users with built in questionnaires to allow the readers to diagnose the Schemas affecting them. |
author2 |
Tan Cher Ming |
author_facet |
Tan Cher Ming Yeo, Louis Zhi Yuan. |
format |
Final Year Project |
author |
Yeo, Louis Zhi Yuan. |
author_sort |
Yeo, Louis Zhi Yuan. |
title |
Human behaviour prediction system |
title_short |
Human behaviour prediction system |
title_full |
Human behaviour prediction system |
title_fullStr |
Human behaviour prediction system |
title_full_unstemmed |
Human behaviour prediction system |
title_sort |
human behaviour prediction system |
publishDate |
2011 |
url |
http://hdl.handle.net/10356/45365 |
_version_ |
1772826083055370240 |