Programme And Module Handbook
Course Details in 2022/23 Session

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Module Title LM Complex Adaptive Systems (Extended)
SchoolComputer Science
Department Computer Science
Module Code 06 30237
Module Lead Shan He
Level Masters Level
Credits 20
Semester Semester 1
Restrictions None
Contact Hours Lecture-33 hours
Guided independent study-167 hours
Total: 200 hours
Description Many natural and artificial systems, such as brains or the Internet, are characterized by complex behaviours that emerge from interactions between a large number of simpler components. These systems are collectively called complex adaptive systems (CAS). In this module, we will study the basic concepts, theories and methods for designing and understanding CAS. Example topics covered include artificial life, evolutionary computation, swarm intelligence and artificial neural networks.
Learning Outcomes By the end of the module students should be able to:
  • explain and illustrate the key concepts and common principles of complex adaptive systems and behaviours
  • compare and contrast natural systems with their computational counterparts
  • show how complex adaptive systems and behaviours can be adapted to solve learning and optimisation problems
  • analyse the behaviour of complex adaptive systems
  • The student should demonstrate the capacity to independently study, understand, and critically evaluate advanced materials or research articles in the subject areas covered by this module.
Assessment Methods & Exceptions Main Assessments: 1.5 hour examination (50%) and continuous assessment (50%)

Supplementary Assessments: 1.5 hour examination (50%) and continuous assessment (50%)
Reading List