Description
Aims:
Students will apply their acquired knowledge to design, implement and evaluate an AI solution to attempt to solve a real-world sustainable development challenge. Students will carry out a substantive piece of work that will result in a comprehensive written report along with demonstrable prototypes, processes, or products. The module provides the platform to demonstrate the ability to formulate hypotheses and investigate a research question of relevance to the application of AI technologies to the sustainable development domain, and to analyse and present the findings of that research.
The aims are to:Ìý
- Provide students the opportunity to apply learned machine learning and artificial intelligence methodologies to the sustainable development domain.ÌýÌý
- Enable students to propose and design ML and AI solutions to solve real specific sustainable development challenges.Ìý
- Capacitate students to be effective team players in interdisciplinary engineering and research environments.Ìý
Intended learning outcomes:
On successful completion of the module, a student will be able to:Ìý
- Assimilate the project-specific terminology, its relation to sustainable development challenges.Ìý
- Design, implement and evaluate AI and ML algorithms to solve a real-world sustainable development problem.Ìý
- Interpret and analyse the challenges of SD specific datasets.Ìý
- Evaluate the ethical implications of using AI to accelerate sustainable development.
Indicative content:
The following are indicative of the topics the module will typically cover:
This three-month individual-project structure is aimed to consolidate our students’ knowledge in Artificial Intelligence (AI) and Machine Learning (ML), acquired during first and second terms of the programme, by immersing them within the sustainable domain environment.ÌýÌý
Students will learn how to apply their acquired knowledge to design, implement and evaluate an AI solution to attempt to solve a real-world sustainable development challenge.
Requisites:
To be eligible to select this module as an optional or elective, a student must be registered on a programme and year of study for which it is formally available.
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 19th August 2024.
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