The aim of the course is to acquire knowledge and understanding of matrix computations in different application areas, which in turn requires deeper studies in theory, methods, algorithms, and software for different matrix computational problems. Examples include, matrix factorizations, iterative methods for solving linear systems and eigenvalue problems and how they are used in applications like information retrieval on the Internet, computer graphics, simulation, signal processing and various engineering applications. Computer laboratory tasks are important for acquiring skills and increased understanding.
