NUMA01F

Tillfällig

Computational Programming with Python

7.5

Gemensam kurs, avancerad nivå och forskarnivå

7151 (Matematikcentrum (inst LTH) / Matematik (LTH))

 -11-15

Professor Thomas Johansson

Engelska

En gång per termin

The aim of the the course is to give an introduction to computational programming in Python for postgraduate students without previous programming knowledge.
Python is a modern scripting language with strong ties to Scientific Computing.

Basic programming concepts, data structures, conditional statements, functions and classes.

Problem-solving using a few basic numerical methods associated with mathematics and physics.

The basic functions and data types of the Python programming language: arithmetic operations, arrays of vectors, matrices, graphics functions, lists, tuples, dictionaries, file management.

Use of modules such as NumPy, SciPy and Matplotlib

The representation of floating point numbers and their implications for arithmetic

Syntax: [for], [if-else], [while], list comprehensions, generators

Nested functions, self-defined functions and modules

Classes and inheritance applied to mathematical objects

Tests and profiling

be able to explain and use basic programming concepts, data structures, conditional statements.

be able do describe the structure of a Python program.

be able to convert algorithms into programming code

be able to visualise, interpret and critically assess numerical results

be able to report solutions to problems and numerical results in speech, writing and graphic form

be able to use appropriate terminology in a logical and well-structured manner

be able organise, implement and orally present a major programming project in carried out in group.

be able to critically analyse the programs produced by fellow students and assess alternatives to his or her own programming solutions

Föreläsningar

övningar

Projekt

övrigt

Reports on programming exercises during the course, and a major programming project to be completed in groups.

Underkänd, godkänd

Arrival time for application. At most five phd students.

Fuhrer, C., Solem, J. & Verdier, O.: Scientific Computing with Python 3 - Second Edition. 2016. ISBN 9781786463517.

NUMA01F

 -11-15

Professor Thomas Johansson