Computational Science explores models of the natural and artificial world, through computer solutions of problems, which, due to their complexity, are intractable by conventional methods. Complex systems arise in a variety of fields, e.g. physics, biology, chemistry, eco-and other hybrid sciences, finance, socio-economic phenomena, and many others. In some cases, a formal model may be proposed and investigated; in others large amounts of data may be mined and empirical conclusions drawn or computational models may be designed and tested against available data. Key phases in Modelling/Analysing Complex Systems Modelling generally include some or all of the following:

• Development of the maths. model or data sourcing
• Development of the algorithm for numeric solution
• Implementation of the algorithm
• Generation of solutions e.g. through numerical simulation of the phenomenon of interest, data mining, matching and/or analysis
• Representation of the computed results or analyses
• Interpretation of results and model validation

Centre for Scientific Computing & Complex Systems Modelling (SCI-SYM)
http://sci-sym.dcu.ie

Large-scale projects: currently running on ICHEC systems
http://www.ichec.ie

For all the latest information regarding the Modelling & Scientific Computing group, please visit their website below: