Matrix Computations and Applications, 7.5 Credits

Contents

The course provides knowledge and understanding of matrix computations in various applications. For this, deeper knowledge of theory, methods, algorithms and software is required for different classes of numerical linear algebra problems. Among other things, the course discusses projections, fundamental subspaces, transformations, orthogonality and angles, rank, matrix factors (eg LU, QR, SVD), condition numbers (ill-posed or well-posed problems), direct and iterative methods to solve linear systems of equations (e.g. Gauss-Seidel, SOR, Krylov subspace methods, pre-conditioning) and eigenvalue problems (canonical forms, methods for calculating all and/or a few number of eigenvalues ​​and associated eigenvectors). Furthermore, the course deals with how this knowledge and skills are used in a number of applications within, e.g., information retrieval on the internet, computer graphics, simulation, signal processing and engineering applications. Practice and in-depth understanding are acquired through computer labs.

Expected learning outcomes

Knowledge and understanding
After completing the course, the student should be able to:

• (FSR 1) account for basic concepts such as the four fundamental subspaces, projections, transformations (homogeneous and inhomogeneous), orthogonality and angles, rank, matrix factorizations (eg LU, QR and SVD), conditioning and stable algorithms.

Competence and skills
After completing the course, the student should be able to:

• (FSR 2) use matrix computations in theory and practice to solve linear systems of equations and eigenvalue problems using modern software,
• (FSR 3) apply matrix calculations within (a selection of) applications,
• (FSR 4) apply a scientific approach to analyze and compile results with respect to the conditioning of the problem,
• (FSR 5) report the results in writing.

Required Knowledge

At least 90 ECTS, including 60 ECTS Computing Science, or 120 ECTS within a study programme. At least 7.5 ECTS programming; 7.5 ECTS linear algebra; 15 ECTS differential and integral calculus; and 4.5 ECTS numerical analysis. Proficiency in English equivalent to the level required for basic eligibility for higher studies.

Form of instruction

Education consists primarily of lectures and classroom exercises. In addition to scheduled activities, individual work with the course material and in computer labs are required.

Examination modes

The examination consists of written assignments (FSR 2-5) and a written exam. The assignments are assessed as approved or not approved.

On the course as a whole, one of the grades Fail (U), Pass (3), Pass with Merit (4), or Pass with Distinction (5) are given. To pass, all assignments must be approved. Then the grade is determined by the results on the written exam.

Adapted examination
The examiner can decide to deviate from the specified forms of examination. Individual adaptation of the examination shall be considered based on the needs of the student. The examination is adapted within the constraints of the expected learning outcomes. A student that needs adapted examination shall no later than 10 days before the examination request adaptation from the Department of Computing Science. The examiner makes a decision of adapted examination and the student is notified.

Other regulations

This course may not be used towards a degree, in whole or in part, together with another course of similar content. If in doubt, consult the student counselors at the Department of Computing Science and / or the program director of your program.

If the syllabus has expired or the course has been discontinued, a student who at some point registered for the course is guaranteed at least three examinations (including the regular examination) according to this syllabus for a maximum period of two years from the syllabus expiring or the course being discontinued.