Module Specifications..
Current Academic Year 2024 - 2025
Please note that this information is subject to change.
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Description In this module, postgraduate research students, as part of the SFI Centre for Research Training in Artificial Intelligence (AI), will develop their core skills in the theory and application of artificial intelligence. This will involve five strands of study taken from topics such as Personalisation; Optimisation and Constraint Programming; Natural Language Processing; Machine Learning; Visual Media Processing; Ethics of Data Analytics and Fair, Accountable, Transparent AI. Each strand will be delivered by an expert and will consist of one intensive week each (five weeks in total) of blended learning activities - seminars, workshops, practical tasks, group work and independent preparation. Students will develop critical skills in identifying, critiquing and applying suitable AI-based solutions both individually and in groups and learn from external experts about the latest research developments. | |||||||||||||||||||||||||||||||||||||||
Learning Outcomes 1. Explain recent advances in specific AI application areas relevant to their research project such as Personalisation; Optimisation and Constraint Programming; Natural Language Processing; Machine Learning; and/or Visual Media Processing. 2. Identify appropriate AI techniques to address specific challenges 3. Design experiments to establish AI principals 4. Collaborate in a group to build AI based technology solutions 5. Describe the consequences for fair, accountable and transparent systems that use AI 6. Explain ethical aspects applying to AI | |||||||||||||||||||||||||||||||||||||||
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
Participation in workshopsAttendance at strand-specific workshops, preparation of and delivery of presentations based on the topics and challenges.Group work on creative solutions to a challenge taskCollaborate on challenge-driven tasks to understand, identify appropriate technical solutions and apply them. For example, based on similar challenge tasks at conferences (such as ACM RecSys, MediaEval, TREC, etc.). The groups will implement, evaluate and present their solutions to the cohort during intensive workshops. | |||||||||||||||||||||||||||||||||||||||
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Indicative Reading List
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Other Resources None | |||||||||||||||||||||||||||||||||||||||
Programme or List of Programmes
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