FYSS5120 Efficient Numerical Programming (4 cr)
Study level:
Advanced studies
Grading scale:
Pass - fail
Language:
English
Responsible organisation:
Department of Physics
Curriculum periods:
2017-2018, 2018-2019, 2019-2020
Description
Content
Efficient C++ programming for practical numerical applications; calling C++ from Python; using program libraries e.g. GSL and Boost libraries; numerically efficient data structures; benefits and caveats of operator overloading; debugging code, finding memory leaks.
Completion methods
Programming assignments.
Assessment details
Accepted solutions to programming assignments.
Learning outcomes
At the end of the course, students will be able to combine coding with python and C++ and write C++ code that uses libraries for solving problems. Students will be able to understand the layout and inner workings of a C++ code, keep C++ code and the underlying mathematics in close unison as well as hide uninteresting or already well-tested programming details from daily view.
Additional information
Given on autumn semester 1st period, every two years starting in autumn 2017.
Description of prerequisites
Programming experience with Python, C++ or some other programming language.
Completion methods
Method 1
Select all marked parts
Parts of the completion methods
x
Unpublished assessment item