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Nature-Inspired Learning Algorithms

Key information

  • Module code:

    7CCEMBIM

  • Level:

    7

  • Semester:

      Spring

  • Credit value:

    15

Module description

The aim of this module is to introduce students to a range of important biologically-inspired algorithms and techniques and to establish a practical understanding of the real-world problems to which these techniques may fruitfully be applied.

Awareness of biologically-inspired engineering techniques and of the multidisciplinary background to such methods. Appreciation of how new ideas in science and engineering can emerge from lateral thinking and ideas from other disciplines. Understanding of a range of biologically-inspired methods and the ability to apply them to solve real-world problems. Ability to apply genetic algorithms and ant-colony optimisation to solve engineering optimization problems. Ability to recognise future opportunities for exploiting biological inspiration in solving engineering problems.

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Assessment details

Examination & coursework

Department

Module description disclaimer

King’s College London reviews the modules offered on a regular basis to provide up-to-date, innovative and relevant programmes of study. Therefore, modules offered may change. We suggest you keep an eye on the course finder on our website for updates.

Please note that modules with a practical component will be capped due to educational requirements, which may mean that we cannot guarantee a place to all students who elect to study this module.

Please note that the module descriptions above are related to the current academic year and are subject to change.