Scientific Computing and Applied Mathematics

Overview

Scientific Computing and Applied Mathematics from University of California, Santa Cruz is ideally suited to meet the increasing need for graduates in the rapidly growing markets of computational mathematics and modeling, and high-performance computing. Such computationally knowledgeable and experienced modelers are highly sought after in industry and government agencies.

Students at Scientific Computing and Applied Mathematics from University of California, Santa Cruz will gain:

• The ability to take a real-life science or engineering problem, and create a mathematical model of it, under supervision or with the help of discussions with colleagues.

• Proficiency in analytical methods for the solution of linear algebra problems, ordinary and partial differential equations.

• Proficiency in the construction of numerical algorithms for the solution of linear algebra problems, as well as ordinary and partial differential equations.

• Proficiency in at least two scientific computing languages such as Fortran, C, Python, R, Matlab, etc. Familiarity with Unix-type operating systems, the use of compilers, professional scientific computing libraries, efficient I/O algorithms, data visualization tools, etc.

• Proficiency in the two main parallel computing paradigms (shared vs. distributed memory) and in the use of OpenMP and MPI. Familiarity with parallel architectures and with supercomputing environments such as batch submission scripts, data transfer protocols, scripting, etc.

• The ability to identify and implement, among all of the existing methods and languages, the most appropriate and efficient approach for the problem posed.

• The ability to analyze the results critically from the model obtained, and to present them to peers in a clear and coherent way in a form of scientific writing and oral presentation.