The American University of Paris Featured Masters Courses
University of San Francisco Featured Masters Courses
University of Manchester Featured Masters Courses
Queen Margaret University, Edinburgh Featured Masters Courses
Swansea University Featured Masters Courses
  • Study Type

    Full time available

  • Subject Areas

    Engineering

  • Start Date

    September

  • Course Duration

    2 years

  • Course Type

    MSc

Course content

The brain, the immune system and the formation of clouds, are all examples of complex adaptive systems comprising of many interacting components, often non linear and dynamic, leading to multiple levels of collective structures and organization.

Inspired by complex adaptive systems in nature, several new methods for information processing have emerged: artificial neural networks resemble neurobiology; genetic algorithms and genetic programming are based on evolutionary processes in nature; the construction of artificial life, the design of autonomous robots and software agents are based on the behaviour of living systems.
Programme descriptionTo understand the dynamics of increasingly complex phenomena where standard simulation methods are inadequate, stochastic algorithms, game theory, adaptive programming, self similarity, chaos theory and statistical methods are used to describe and increase our understanding of complex systems in nature and society, in the end trying to predict the unpredictable.
Examples are gene-regulation networks, the motion of dust particles in turbulent air or the dynamics of financial markets.

One example is fluctuations of share and option prices determining the stability of our economy. Other examples are the dynamics of dust particles in the exhaust of diesel engines, the dynamics of biological or artificial populations, earthquake prediction, and last but not least adaptive learning: the problem of teaching a robot how to respond to unexpected changes in its environment.

Truly interdisciplinary and encompassing several theoretical frameworks, this programme provides you with a broad and thorough introduction to the theory of complex systems and its applications to the world around us. The programme is based on a physics perspective with a focus on general principles, but it also provides courses in information theory, computer science and optimisation algorithms, ecology and genetics as well as adaptive systems and robotics.
Educational methodsBesides traditional lectures on simulation and theory of complex systems, the programme is largely based on numerical calculation and simulation projects and depending on course selection possibly practical work in the robotics lab.

Loading...

Loading...

Loading...


Enquire About This Course

Recipient: Chalmers University of Technology

* required field

Please correct the errors indicated below to send your enquiry


Your enquiry has been emailed successfully





FindAMasters. Copyright 2005-2018
All rights reserved.

Let us know you agree to cookies

We use cookies to give you the best online experience. By continuing, we'll assume that you're happy to receive all cookies on this website. To read our privacy policy click here

Ok