Skip to main content

Unit information: Bio-Inspired Artificial Intelligence in 2021/22

Unit name Bio-Inspired Artificial Intelligence
Unit code EMATM0029
Credit points 10
Level of study M/7
Teaching block(s) Teaching Block 2 (weeks 13 - 24)
Unit director Dr. Hauert
Open unit status Not open
Pre-requisites

None

Co-requisites

None

School/department Department of Engineering Mathematics
Faculty Faculty of Engineering

Description

Nature has found clever solutions for the design of intelligent systems. Chemical networks, cells, brains and societies are able to self-organise to perform seemingly complex tasks. These behaviours result from evolution, development, and learning.

With this course we aim to take inspiration from nature to engineer intelligent systems for real-world applications. Each lecture looks at a biological system and extracts basic principles that can be implemented in reality. Topics covered include neural networks, machine learning, artificial evolution, cellular systems, DNA computing, swarm intelligence, and bio-inspired robotics.

Intended learning outcomes

Upon successful completion of the unit students will be able to;

  1. Explain the benefits and limitations of bio-inspired approaches.
  2. Extract basic principles from intelligent systems in nature that can be applied to engineering.
  3. Apply bio-inspired AI to engineer solutions for real world applications.
  4. Use insight from engineered systems to improve understanding of natural systems.
  5. Build and pitch a startup idea in artificial intelligence.

Teaching details

Teaching will be delivered through a combination of synchronous and asynchronous sessions, including lectures, supported by live online sessions, problem sheets and self-directed exercises.

Assessment Details

1 Summative Assessment, 100% - Coursework. This will assess all ILOs.

Resources

If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.

If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. EMATM0029).

Feedback