Course Details in 2023/24 Session

Module Title	LH Complex Adaptive Systems
School	Computer Science
Department	Computer Science
Module Code	06 32571
Module Lead	Kashif Rajpoot
Level	Honours Level
Credits	20
Semester	Semester 1
Pre-requisites	LC Mathematical Foundations of Computer Science - (06 30395) LI Mathematical Modelling and Decision Making - (06 30428) LC Artificial Intelligence - (06 30396)
Co-requisites
Restrictions	None
Contact Hours	Lecture-33 hours Guided independent study-167 hours Total: 200 hours
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