This offering is not in the current catalogue. The information is retained from an earlier publication. Check the provider's current offering.
Lund University
Numerical Analysis: Numerical Linear Algebra
<p>The course gives an introduction to numerical linear algebra, including numerical methods and principles for solving fundamental problems in linear algebra. The course prepares for further studies in numerical analysis, statistics, computer science and image analysis.</p><p>The course covers:</p> <ul> <li>Dire…
- Higher education
- Information unavailable
- 31 August 2026
- Information unavailable
- Information unavailable
- 50 %
Overview
<p>The course gives an introduction to numerical linear algebra, including numerical methods and principles for solving fundamental problems in linear algebra. The course prepares for further studies in numerical analysis, statistics, computer science and image analysis.</p><p>The course covers:</p> <ul> <li>Direct and/or iterative solution methods for various linear algebra problems such as linear systems of equations, eigenvalue problems and the least-squares method,</li> <li> Matrix and vector norms, orthogonalisation, projection, matrix factorisations, direct and iterative solvers, condition numbers, stability of a method, complexity of an algorithm,</li> <li> Applying these concepts to construct numerical methods and solve problems in linear algebra,</li> <li> The significance of important matrix classes in numerical linear algebra.</li> </ul>
Admission scores
Entry requirements
For admission to the course, students must meet the general entry requirements for higher education, English 6 and 37,5 higher education credits in mathematics including knowledge equivalent to the courses MATA31 Analysis in One Variable, 15 credits, NUMA01 Computational Programming with Python, 7.5 credits, MATA32 Algebra and Vector Geometry 7.5 credits, and MATB32 Linear Algebra, 7.5 credits.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2026-08-31
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.lu.numb11.13017.20262
- Last checked
- 2026-09-23T10:38:33.477975+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
Programme content
Study structure
Application and important dates
- Programme or course starts
- Programme or course ends
Salary and salary distribution
Common occupations after graduation
Students
Geographical background
Previous upper-secondary schools and programmes
Completion and outcomes
About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.lu.numb11.13017.20262
- Offering identity in the source
- e.uoh.lu.numb11.13017.20262
- Education-form source code
- HS
- Education code in the source
- NUMB11
- Change time according to the source
- 2026-02-03T11:37:00
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.