Module Specifications.
Current Academic Year 2024 - 2025
All Module information is indicative, and this portal is an interim interface pending the full upgrade of Coursebuilder and subsequent integration to the new DCU Student Information System (DCU Key).
As such, this is a point in time view of data which will be refreshed periodically. Some fields/data may not yet be available pending the completion of the full Coursebuilder upgrade and integration project. We will post status updates as they become available. Thank you for your patience and understanding.
Date posted: September 2024 No Banner module data is available
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Coursework Only The continuous assessment course work may be re-taken. |
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Description This module presents students with a series of four domains in which data analytics have had, or are having, a transformative effect on our lives. Students will emerge with a familiarity and an understanding of how data analytics, visualisation, and other aspects of data science are being used to change the world in which we live. The four application domains covered in this module are Smart Planning (how various data sources, including open data, are now used in planning the world around us), Health and Human Performance (how data is used to inform experts in fields like Sports Analytics and Medicine), Language Technologies (how access to huge volumes of online information has transformed language processing), and Ethical AI (essentially, 'AI for Good'). | |||||||||||||||||||||||||||||||||||||||||||
Learning Outcomes 1. Explain applications of data science and data analytics in 4 different domains namely Smart Planning, AI for Good, Language Technologies, and Health and Human Performance Analytics. 2. Predict potential for other, data-driven approaches to major aspects of our lives in other domains 3. Summarise the main issues and challenges for data-driven approaches in the 4 domains 4. Debate the scope of data-driven approaches to major aspects of our lives in the 4 domains | |||||||||||||||||||||||||||||||||||||||||||
All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml |
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Indicative Content and Learning Activities
A suite of online resources will be made available through the Loop page for the module.During this course, a number of expert speakers will explain how and why data gathering and analysis can be of use in a range of application areas. We will focus on Machine Learning/AI applications in: (i) Smart Infrastructural Planning: e.g. Smart Cities, Smart Stadiums, Smart Planning; (ii) Health and Human Performance: Data Science in Medicine, sports analytics etc.; (iii) AI for Good: Ultimately we want to achieve 'Driveable AI', with much more user control; (iv) NLP systems which benefit a range of users. There will be a mix of generic online material, and guest lectures specifically commissioned for this module. Seminars will follow up on the main issues arising from the consumption of this material. Students will decide on a particular task in an application domain based on what they have been exposed to in the module. They will research the specific domain of application and the prior work in that area. Working individually, they will (i) write a project proposal describing this work, (ii) implement the project, write an academic paper on what they did, and describe the results that were obtained, and (iii) present these findings individually via an in-class presentation. | |||||||||||||||||||||||||||||||||||||||||||
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Indicative Reading List | |||||||||||||||||||||||||||||||||||||||||||
Other Resources None | |||||||||||||||||||||||||||||||||||||||||||