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MSc Artificial Intelligence for Sustainable Development Project (COMP0191)

Key information

Faculty
Faculty of Engineering Sciences
Teaching department
Computer Science
Credit value
60
Restrictions
Module delivery for PGT (FHEQ Level 7) available on MSc Artificial Intelligence for Sustainable Development.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

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

  1. Assimilate the project-specific terminology, its relation to sustainable development challenges.Ìý
  1. Design, implement and evaluate AI and ML algorithms to solve a real-world sustainable development problem.Ìý
  1. Interpret and analyse the challenges of SD specific datasets.Ìý
  1. 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

Intended teaching term: Terms 2 and 3 ÌýÌýÌý Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
100% Dissertations, extended projects and projects
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
23
Module leader
Dr Benjamin Guedj
Who to contact for more information
cs.pgt-students@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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