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This exciting new graduate program is offered through the Nonlinear Dynamical Systems Group (NLDS). Dynamical Systems is an essential tool for the mathematical analysis of real life problems in fields that include: Physics, Engineering, Biology and Chemistry. This program provides the analytical and computational tools and skills required to formulate and tackle complex models of real life problems. This program is ideal in preparing students for recruitment in industry or government laboratories where a high level of mathematics and modeling is required. An integral part of Dynamical Systems is the use of mathematical models and numerical techniques for which a strong knowledge of scientific computation is needed. Students in the Dynamical Systems program will acquire indispensable skills/tools in the use of computers for problem solving and hence increase their market value when seeking for a competitive employment opportunity. Students enrolled in the program are mentored by faculty members actively engaged in research at the forefront of Dynamical Systems and Chaos, and its applications. Students in the program benefit from a dedicated Dynamical Systems state-of-the-art computer laboratory. Continuous interactions between the NLDS group and a large number of research groups/collaborators offers an ideal atmosphere for our graduate students to engage in scientific and industrial collaborations. For example the NLDS group has a strong link with the Space and Naval Warfare Systems Center (SPAWAR) in San Diego, including a couple of patents and student internships. The NLDS has also strong ties with the Physics and Computer Science departments at SDSU, as well as with the Naval Postgraduate School (NPS). The NLDS group also offers a PhD program in Dynamical Systems and Applied Mathematics through the Computational Research Center (CSRC) at SDSU.
Peter
Blomgren - Numerical analysis, image processing, partial differential
equations. Ricardo Carretero
and Antonio Palacios serve as the program advisers:
To be admitted to the program, the student should have training equivalent to that required for an undergraduate degree in mathematics, applied mathematics, physics or electrical engineering. In addition, all students must satisfy the general requirements for admission to the university with classified graduate standing. The Department maintains a web page with further information on admission and financial support. Course Work The following courses are required (3 units each): MATH-531 Partial Differential
Equations Recommended electives
(3 units each): Nonlinear Waves Other recommended
electives (3 units each): MATH-541 Introduction
to Numerical Analysis and Computing Graduation Requirements The graduate division requirements for a Master's degree are that a student complete 30 units of course work at the 500, 600 or 700 level. As noted above under Course Work, this program has a number of required courses. In addition, a master's thesis must be completed, which counts for 3 units of the 30. The thesis is written
under the direction of a faculty member who
works closely with the student in both the research and the writing |