Simulation of Complex Dynamical Systems
Syllabus, Master's level, 1FA241
This course has been discontinued.
- Code
- 1FA241
- Education cycle
- Second cycle
- Main field(s) of study and in-depth level
- Physics A1N
- Grading system
- Pass with distinction (5), Pass with credit (4), Pass (3), Fail (U)
- Finalised by
- The Faculty Board of Science and Technology, 15 March 2007
- Responsible department
- Department of Physics and Astronomy
Entry requirements
Scientific Computing I and II.
Learning outcomes
After the finished course the student is expected to
* have obtained a knowledge of various numerical methods
* developed practical experience in their applications to complex systems, focusing on technical aspects
* have gained a knowledge about the importance of complex systems in modern science
* have gained knowledge about the role of computer simulations in providing understanding of such systems, while also developing an appreciation for the difficulties and limitations involved
Content
Numerical methods and software for simulations; Realistic projectile motion; Oscillatory motion; Chaotic motion of dynamical systems; Few-body and Many-body problems; Random systems and processes; Potentials and Fields; Normal modes and waves; Fractals and Kinetic growth models; Measuring Chaos; Complex systems, e.g. Self-organised critical phenomena, The Hopfield model and Neural networks and the brain, Genetic Algorithms, Cellular Automata, Protein folding, Lattice gas models of fluid flow. Role of High performance computing and Visualisation in simulation of complex systems.
Instruction
Strong emphasis on computer laboratory and project work; also lectures and seminars.
Assessment
Computer laboratory, corresponding to 6.5 credits and project work, corresponding to 3.5 credits.