Individual
course details |
|
|
|
|
|
|
Study programme |
Applied
physics |
|
|
Chosen research area (module) |
|
|
|
Nature and level of studies |
Undergraduated
studies |
|
|
Name of the course |
Introduction
to scientific interpreted languages |
|
|
Professor (lectures) |
dr
Vladimir Miljković |
|
|
Professor/associate (examples/practical) |
|
|
|
Professor/associate (additional) |
|
|
|
ECTS |
6 |
Status
(required/elective) |
|
|
|
Access requirements |
|
|
|
Aims of the course |
Introduction
to the basics of scientific interpreted languages |
|
|
Learning outcomes |
Obtaining
the basis of scientific interpreted languages |
|
|
Contents of the course |
|
|
Lectures |
|
|
|
Examples/ practical classes |
Tasks
in which numerical simulation methods should be used. Extensive use of visual
presentation |
|
|
Recommended books |
|
|
1 |
Lutz,
M Learning Python (O' Reilly, 2009) |
|
|
2 |
Zelle,
J.M. Python Programming: An Introduction to Computer Science |
|
|
3 |
Crawley,
M.J. A R cookbook (Jonh Wiley & sons, 2013) |
|
|
4 |
Niederliński
А, A Gentle Guide to Constraint Logic Programming via ECLiPSe (PBK,
2013)
|
|
|
|
|
|
|
Number of classes (weekly) |
|
|
Lectures |
Examples&practicals |
|
Student
project |
Additional |
|
|
2 |
2 |
|
|
|
|
|
Teaching and learning methods |
|
|
|
Assessment (maximal 100) |
|
|
assesed coursework |
mark |
examination |
mark |
|
|
coursework |
10 |
written
examination |
40 |
|
|
practicals |
|
oral
examination |
30 |
|
|
papers |
|
|
|
|
|
presentations |
20 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|