Course: Advanced Data Processing and Visualization

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Course title Advanced Data Processing and Visualization
Course code USII/FZVD
Organizational form of instruction Lecture + Tutorial
Level of course Master
Year of study 2
Semester Winter
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Komárková Jitka, prof. Ing. Ph.D.
  • Krátký Martin, Ing.
  • Jech Jakub, Ing. Ph.D.
Course content
Spatial phenomena and objects and their modeling (representation) in the environment of computer information systems. Methods of collection and preprocessing of spatial data (geodesy, photogrammetry, remote sensing). Spatial data analysis methods - classification of methods, characteristics and specifics of outputs of individual types of methods. Cartography and cartographic methods. Processing and visualization of 3D data. Processing and visualization of spatiotemporal data (spatiotemporal cubes). Processing and visualization of data obtained using remote sensing methods. The issue of 3D printing. Data processing in the web application environment. Web cartography. State map works of the Czech Republic.

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Skills training
Learning outcomes
The aim of the subject is to introduce the students to the theoretical foundations and practical use of advanced data processing and visualization methods with a focus on spatial data. The issue of data collection and pre-processing will also be included.
The students will be able to independently complete complex space analyses.
Prerequisites
Basic knowledge of GIS and databases.

Assessment methods and criteria
Written examination, Home assignment evaluation, Student performance assessment

Assignment is granted upon successful defence of an independent practical project during which the student shows his/her ability to apply theoretical knowledge to practical cases. Exam: 50 % project evaluation, 50 % written exam. More detailed requirements are published as a study material in STAG.
Recommended literature
  • CLARKE, K. C., PARKS, B.O., CRANE, M. P. Geographic Information Systems and Environmental Modeling. Upper Sadle River, 2002.
  • Longley, Paul A. Geographic information systems and science. Chichester: John Wiley & Sons, 2001. ISBN 0-471-89275-0.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester