Main Field of Study and progress level:
Computing Science: Second cycle, has only first-cycle course/s as entry requirements
Computational Science and Engineering: Second cycle, has only first-cycle course/s as entry requirements
Grading scale: Pass with distinction, Pass with merit, Pass, Pass with distinction, Pass, Fail
Responsible department: Department of Computing Science
Contents
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.
Required Knowledge
Univ: To be admitted you must have 60 ECTS-credits in Computing Science or two years of completed studies, in both cases including Single variable calculus, linear algebra, introductory programming methodology, introductory numerical methods.
English proficiency equivalent to IELTS Academic Training minimum score 5.0 with no individual score below 4.5 (Tests taken before January 2005 not admissible or TOEFL minimum score 500 on paper based test and not below 4.0 on the TWE, Alternatively 173 on computer based test with iBT61 is also required as well as basic entrance requirements for higher studies in Swedish language proficiency if the course is taught in Swedish.
Literature
Valid from:
2009 week 35
Strang Gilbert Introduction to linear algebra 3. ed. : Wellesley, Mass. : Wellesley-Cambridge Press : 2003 : viii, 568 s. : ISBN: 0-9614088-9-8 (inb.) Search the University Library catalogue
