Today's undergraduate science and engineering students usually start
their studies with some computer skills, and often take a basic
programming course. Some also use computers in experimental laboratories,
and some are given codes to run to help in their core courses. However,
real experience in numerical algorithms in their subject  specializations
is not always provided at the senior undergraduate/early graduate level.
This special issue of Computing in Science & Engineering examines
a selection of computational science/engineering courses. There is
much commonality between the different science and engineering disciplines
but also some differences. Areas of interest include, but are not limited to:

    relevant algorithms for the different disciplines
    correct coding practices including code annotation
    code validation
    sample course syllabi and codes
    evaluation - project versus homework exercises

The special issue will include four feature articles,
each one describing practices in different disciplines and/or public domain
vs. proprietory codes. Additionally, we will publish several shorter
articles covering various aspects of computational science/engineering
education. We do not wish to emphasize computer science as such, but
rather computer use for research in science and engineering, including HPC use.

Submissions Guidelines

We encourage authors to email the guest editors at 
to ask whether their topic is suited for the special issue. The feature 
article topics must be pre-approved. Submissions for the shorter articles
should include the researcher's photo and CV.

Please see the CiSE-specific author guidelines and the general author 
guidelines. Please submit electronically through ScholarOne Manuscripts, 
selecting this special-issue option.

Contact the guest editor at