Course Aims
Bring yourself up-to-date with the latest developments in dynamical systems.
The past 15-20 years have seen an explosion in both theoretical and practical aspects of nonlinear dynamics. On the one hand new areas such as chaos and nonlinear time-series analysis have emerged, and techniques such as bifurcation analysis have advanced immeasurably. On the other, these ideas have found wide ranging application to many different areas, from meteorology to AIDS, from financial analysis to chemical reactions, and from control of nonlinear systems to signal analysis. New and powerful computation techniques have developed in parallel.
The overall goal of this course is to give participants both an overview of the new techniques emerging in nonlinear systems and practical experience in their use. The Warwick Mathematics Department is an international leader in this area, and the course tutors will include a number of researchers who have played an important role in the development of these ideas and techniques.
The course will combine theory and practical work through a combination of lectures, seminars, computer workshops (UNIX and PC), and interactive problem solving ateliers. As well as benefiting from discussion and feedback with other participants and course leaders, participants will be sent a questionnaire before the start of the course, giving them the opportunity to submit specific problems they would like discussed.
Who Should Attend?
This course is aimed at practitioners and researchers involved in the modelling and simulation of nonlinear systems. We envisage that the course will be of particular use to professionals in many fields, including engineers across a wide spectrum of engineering practice, practitioners in financial analysis, as well as researchers involved in simulation and data analysis of complex systems.
Prerequisites
There are no formal prerequisites, but participants will require a mathematical background at least equivalent to that provided by an undergraduate mathematics, statistics, physics or engineering degree, together with appropriate computing experience. We also anticipate that participants will have some professional or research experience in relevant fields.
|
