Numerical Analysis: Advanced Course in Numerical Algorithms with Python/SciPy
Lund University
Startdatum:
Slutdatum:
Studietakt: 50 %
Publicerad utbildningskatalog
Utbildningsinformation från den publicerade källan. Utbildningen och dess tidsbundna tillfällen hålls åtskilda.
Kod: NUMN21
<p>The course provides an algorithm-oriented complement to the more basic and special courses in numerical analysis that are focused on method analysis. Based on the student's previously acquired knowledge in numerical analysis, the course also intends to practice such skills that have special importance in professional life. In the course, the focus is on the view that a program is a tool developed in a longer process and in a group and which will later be used by others. The course emphasizes the connection between mathematical theory, complex computational algorithms and modern programming language.</p><p>The course treats:</p> <ul> <li>Object-oriented programming style for scientific computing. SciPy/NumPy data structures.</li> <li>Examples of complex numerical algorithms from different fields within numerical analysis.</li> <li>Coupling to numerical libraries in C and Fortran (Netlib).</li> <li>Automatic tests in scientific computing. The use of Python to control system processes.</li> </ul>
90 higher education credits in mathematics and science, including knowledge equivalent to NUMA01 Computational Programming with Python, 7.5 credits, and an additional 7.5 credits in numerical analysis.
Varje tillfälle har egna datum och villkor. Avslutade tillfällen behålls som historik och innebär inte att en ny ansökan är öppen.
Lund University
Startdatum:
Slutdatum:
Studietakt: 50 %
Hämtad: .
Publicerad: .
Publiceringsversion: 8e217193-f5fa-4778-b085-a4521fd03e8d
Kontrollsumma: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c
Senast ändrad enligt källan: 2026-02-03T10:34:12