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AR52001: AI and sustainable development

[Page last updated: 16 August 2024]

Academic Year: 2024/25
Owning Department/School: Department of Architecture & Civil Engineering
Credits: 10 [equivalent to 20 CATS credits]
Notional Study Hours: 200
Level: Masters UG & PG (FHEQ level 7)
Period:
Semester 2
Assessment Summary: CWRI 70%, CWVG 30%
Assessment Detail:
  • AI for sustainability presentation (CWVG 30%)
  • AI for sustainability project report (CWRI 70%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites:
Learning Outcomes: Conceptualise the design and implementation of AI algorithms and models to complex, real-world, engineering problems associated with sustainability
Critically analyse the impact of AI applications on sustainability efforts in the context of engineering and design, considering ethical, social, and economic implications.
Critically evaluate the effectiveness of AI solutions in achieving sustainability in a global context
Recognise advanced AI techniques used in engineering and design, and their relevance in addressing global sustainability goals


Synopsis: Explore how to use AI to tackle sustainability issues in key areas such as energy, environmental pollution, circular economy, and decarbonisation. Through theoretical lectures, discussions, and group projects, you'll learn how to apply the transformative power of AI to complex global challenges while considering ethical, societal, and economic implications.

Aims: Explore how AI can be leveraged to tackle sustainability issues in key areas such as energy, environmental pollution, circular economy, and decarbonisation.

Skills: Education for sustainable development.

Content: Introduction to climate action and sustainability.
Life cycle assessment and the circular economy.
Applications of AI for sustainable goals.
Sustainability impacts of using AI such as energy requirements and programming footprint.

Course availability:

AR52001 is a Must Pass Unit on the following courses:

Department of Electronic & Electrical Engineering
  • TEEE-AFM22 : MSc Artificial Intelligence for Engineering and Design
  • TEEE-AWM22 : MSc Artificial Intelligence for Engineering and Design

Notes:

  • This unit catalogue is applicable for the 2024/25 academic year only. Students continuing their studies into 2025/26 and beyond should not assume that this unit will be available in future years in the format displayed here for 2024/25.
  • Courses and units are subject to change in accordance with normal University procedures.
  • Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Find out more about these and other important University terms and conditions here.