Programme And Module Handbook
 
Course Details in 2020/21 Session


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Module Title LH Complex Adaptive Systems
SchoolComputer Science
Department Computer Science
Module Code 06 32571
Module Lead Kashif Rajpoot
Level Honours Level
Credits 20
Semester Semester 1
Pre-requisites LC Artificial Intelligence - (06 30396) LC Mathematical Foundations of Computer Science - (06 30395) LI Mathematical Modelling and Decision Making - (06 30428)
Co-requisites
Restrictions None
Exclusions
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
Assessment
Assessment Methods & Exceptions Assessments:
2 hour Examination (80%) and Continuous Assessment (20%)

Re-Assessment: 2 hour Examination (100%)
Other Dubai version of Birmingham based module 30210
Reading List