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.
The information below is only for exchange students
29 August 2022
31 October 2022
Type of studies
Univ: To be admitted you must have (or equivalent) 90 ECTS-credits including 60 ECTS-credits in Computing Science or two years of completed studies within a study programme (120 ECTS-credits). In both cases, the studies must include at least 15 ECTS-credits within Calculus, 7.5 ECTS-credits in Linear Algebra, at least 7.5 ECTS-credits within Programming methodology, and at least 4.5 ECTS-credits within Scientific computing/Numerical Analysis.
Proficiency in English equivalent to Swedish upper Secondary course English A/5. Where the language of instruction is Swedish, applicants must prove proficiency in Swedish to the level required for basic eligibility for higher studies.
Students applying for courses within a double degree exchange agreement, within the departments own agreements will be given first priority. Then will - in turn - candidates within the departments own agreements, faculty agreements, central exchange agreements and other departmental agreements be selected.
This application round is only intended for nominated exchange students. Information about deadlines can be found in the e-mail instruction that nominated students receive.
The application period is closed.