SubjectsSubjects(version: 916)
Course, academic year 2022/2023
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Programming in IDL - Data Processing and Visualisation - NEVF135
Title: Programování v IDL - zpracování a vizualizace dat
Guaranteed by: Department of Surface and Plasma Science (32-KFPP)
Faculty: Faculty of Mathematics and Physics
Actual: from 2019
Semester: winter
E-Credits: 3
Hours per week, examination: winter s.:1/1, MC [HT]
Capacity: unlimited
Min. number of students: unlimited
Virtual mobility / capacity: no
State of the course: taught
Language: Czech
Teaching methods: full-time
Guarantor: doc. RNDr. František Němec, Ph.D.
doc. RNDr. Lubomír Přech, Dr.
Comes under: Pro rok 2019/2020 + 2021/2022...
Pro rok 2020/2021 + 2022/2023...
Year 2020/2021 + 2022/2023...
Interchangeability : NOFY086
Is interchangeable with: NOFY086
Annotation -
Last update: JUDr. Dana Macharová (02.10.2013)
Introduction to IDL (Integrated Data Language). IDL is often used in astrophysical, astronomical, geophysical, and meteorological applications. Using IDE. Syntax, variable types, supported data formats. Writing functions and procedures. File input-output. 2D and 3D graphics. Selected mathematical algorithms in IDL. Advanced graphical methods. GUI development. Writing of cross-platform applications, integration with other programming tools.
Course completion requirements - Czech
Last update: doc. RNDr. František Němec, Ph.D. (06.10.2017)

Zápočet se uděluje za vypracování zápočtového programu/projektu, jehož zadání je stanoveno po osobní konzultaci s vyučujícím. Charakter zápočtu umožňuje jeho opakování.

Literature - Czech
Last update: T_KEVF (10.05.2004)

Firemní dokumentace k  programu IDL, Research Systems Inc.

Fanning D. W.: IDL Programming Techniques, 2 nd ed., 2000.

WWW stránky kurzu

Syllabus -
Last update: T_KEVF (07.05.2005)
1. IDL syntax overview
Basic program structures, variable declaration, functions, procedures and their parameters, supported data formats. Differences to other programming languages.

2. Using IDL integrated development environment
IDL scripts, program modules and their debugging. Running code under IDL Virtual Machine.

3. Data files
Reading and writing from/to text and binary data files. Supported data file formats. Scientific data formats (CDF, NetCDF).

4. Drawing of graphs
2D and 3D graphics, colors, fonts, printing.

5. Data processing in  IDL
Selected mathematical algorithms in IDL - examples of data interpolation, curve and surface fitting, filters, signal analysis, image processing, statistics.

6. Advanced graphical methods
Introduction to animation, volume rendering, maps and geographical projections.

7. Graphical user interface applications
GUI design and development, widgets, event processing.

8. Writing of cross-platform applications, integration with other programming tools.
Exchange of data and IDL code between different operational systems (Windows, Unix). Dynamic loaded libraries and modules. External IDL calls. Dynamic web pages with IDL scripts.

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