Advanced Course in Numerical Algorithms with Python/SciPy
Avancerad kurs i numeriska algoritmer med Python/SciPy

FMNN25F, 7.5 högskolepoäng

Gäller från och med: Autumn 2014
Beslutad av: FN1/Anders Gustafsson
Datum för fastställande: 2015-01-14

Allmänna uppgifter

Avdelning: Numerical Analysis
Kurstyp: Gemensam kurs, avancerad nivå och forskarnivå
Kursen ges även på avancerad nivå med kurskoder: FMNN25, NUMN25
Undervisningsspråk: English

Syfte

To give doctoral students with experience of other programming languages training in implementing advanced numeric algorithms in Python/Scipy, in order to use this in other courses, in research or in industry.

Mål

Kunskap och förståelse

För godkänd kurs skall doktoranden

• have developed an understanding for the basic principles of computational algorithms.
• have improved her/his knowledge about a number of important computational problems, and ways to attack them.

Färdighet och förmåga

För godkänd kurs skall doktoranden

• have developed a programming ability (for computational purposes) at a high level.
• have learnt how to code, test and evaluate the results of complex numerical algorithms, using established programme libraries.
• be able to carry out a group programming project, including identifying subproblems, distribution of tasks within the group and responsibility for the completion of his/her task.
• be able to account for a computational project, both in a written report and orally.

Kursinnehåll

Introduction to Python for students already familar with another programming language. The use of object oriented programming in scientific computing, Scipy/Numpy datastructures. Examples of complex numerical algorithms from varying subjects in numerical analysis, Linking to advanced numerical libraries in C and Fortran (Netlib). Automatic tests in scientific computing. Graphical representation of mathematical results (animation). The use of Python to control system processes.

Kurslitteratur

Führer, C., Solem, J. & Verdier, O.: Computing with Python: An Introduction to Python for Science and Engineering. Pearson, 2013. ISBN 9780273786436.

Kursens undervisningsformer

Undervisningsformer: Föreläsningar, övningar

Kursens examination

Examinationsformer: Inlämningsuppgifter, övrigt. A larger programming project to be carried out in group, with a written report to be presented at a seminar. Opposition on the report of another group.
Betygsskala: Underkänd, godkänd
Examinator:

Antagningsuppgifter

Förutsatta förkunskaper: Basic course in numerical analysis. Programming experience in some of the languages Java, C, C++, Fortran, Python and Matlab.

Kurstillfällesinformation

Kontaktinformation och övrigt

Kursansvariga:
Hemsida: http://ctr.maths.lu.se/na/courses/FMNN25/