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Main menu for Browse IS/STAG
Course info
KGM / APA-E
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Course description
Department/Unit / Abbreviation
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KGM
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APA-E
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Academic Year
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2023/2024
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Academic Year
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2023/2024
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Title
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Algorithms of Spatial Analyses
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Form of course completion
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Exam
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Form of course completion
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Exam
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Accredited / Credits
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Yes,
3
Cred.
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Type of completion
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Combined
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Type of completion
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Combined
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Time requirements
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Lecture
1
[Hours/Week]
Tutorial
2
[Hours/Week]
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Course credit prior to examination
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Yes
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Course credit prior to examination
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Yes
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Automatic acceptance of credit before examination
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No
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Included in study average
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YES
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Language of instruction
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English
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Occ/max
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Automatic acceptance of credit before examination
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No
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Summer semester
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0 / -
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0 / -
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0 / -
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Included in study average
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YES
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Winter semester
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0 / -
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0 / -
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0 / -
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Repeated registration
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NO
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Repeated registration
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NO
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Timetable
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Yes
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Semester taught
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Summer semester
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Semester taught
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Summer semester
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Minimum (B + C) students
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1
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Optional course |
Yes
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Optional course
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Yes
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Language of instruction
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English
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Internship duration
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0
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No. of hours of on-premise lessons |
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Evaluation scale |
1|2|3|4 |
Periodicity |
každý rok
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Evaluation scale for credit before examination |
S|N |
Periodicita upřesnění |
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Fundamental theoretical course |
No
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Fundamental course |
No
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Fundamental theoretical course |
No
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Evaluation scale |
1|2|3|4 |
Evaluation scale for credit before examination |
S|N |
Substituted course
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None
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Preclusive courses
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KGM/APA
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Prerequisite courses
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N/A
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Informally recommended courses
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N/A
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Courses depending on this Course
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N/A
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Histogram of students' grades over the years:
Graphic PNG
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XLS
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Course objectives:
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The goal of the subject is to present to students following topics: Symbolizing spatial analyses. Algorithms of digital elevation model creation. Computing continuous surfaces directly from vector data. Spatial statistics methods. Selected spatial analyses. Spatial modeling. Knowledge about geographic information systems equal to subject KMA/UGI is expected.
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Requirements on student
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Student has to follow the study plan, which is setup at the beginnig of the semester. Student has to deliver a semestral work, and pass the final exam consisting of three parts: theoretical test, practical work with a GIS package, academic discussion.
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Content
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Introduction, terminology.
Symbolic coding of spatial analyses.
Programming languages for spatial analyses.
Algorithms of digital terrain model creation.
Interpolation of rasters.
Raster analysis.
Graphs and spatial models.
Spatial modelling.
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Activities
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Fields of study
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Guarantors and lecturers
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Literature
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Basic:
Longley, Paul A. Geographic information systems and science. Chichester : John Wiley & Sons, Ltd., 2001. ISBN 0-471-89275-0.
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Basic:
Burrough, Peter A.; McDonnell, Rachael A. Principles of geographical information systems. 1st ed. repr. Oxford : Oxford University Press, 1998. ISBN 0-19-823365-5.
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Recommended:
Maidment, David R. Arc Hydro : GIS for water resources ; David R. Maidment, editor. Redlands : ESRI Press, 2002. ISBN 1-58948-034-1.
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Recommended:
Montgomery, D. R. Hydrological applications of GIS : Edited by A. M. Gurnell, D. R. Montgomery. Chichester : John Wiley and Sons, 2001. ISBN 0-471-89876-7.
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Recommended:
Neteler, Markus; Mitasova, Helena. Open source GIS : a GRASS GIS approach. 2nd ed. Boston : Kluwer Academic Publishers, 2004. ISBN 1-4020-8064-6.
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Recommended:
Fortheringham, A. Stewart; Wegener, Michael. Spatial models and GIS : new potential and new models ; Ed. by A. Stewart Fortheringham, Michael Wegener. London : Taylor & Francis, 2001. ISBN 0-748-40846-0.
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On-line library catalogues
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Time requirements
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All forms of study
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Activities
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Time requirements for activity [h]
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Contact hours
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39
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Graduate study programme term essay (40-50)
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29
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Preparation for an examination (30-60)
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30
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Presentation preparation (report) (1-10)
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5
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Total
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103
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Prerequisites
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Knowledge - students are expected to possess the following knowledge before the course commences to finish it successfully: |
explain fundaments of GIS |
explain fundaments of databases |
explain concepts of vector and raster data |
explain, how character and accuracy of geographic data depends on its source |
Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
acquire geographical data from available sources |
store geographic data to a data base |
use at least one GIS package at an entry level |
be able to turn description of a geographical problem into a workflow solving the problem |
Competences - students are expected to possess the following competences before the course commences to finish it successfully: |
N/A |
N/A |
N/A |
N/A |
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
define basic terms of Systems theory |
explain principles of fundamental analytical functions of geographic information systems |
explain the difference of working with GIS through GUI and through API |
solving geographically based problems together with an expert of an application domain (e.g. transport, ecology, hydrology, etc.) |
Skills - skills resulting from the course: |
Create a model of analytical solution of a geographically determined problem |
master the principles of geographic analysis automation |
access an API of a selected geographic information system |
explain GIS principles to expert from different domain (e.g. transport, ecology, hydrology, etc.) |
Competences - competences resulting from the course: |
N/A |
N/A |
N/A |
N/A |
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Assessment methods
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Knowledge - knowledge achieved by taking this course are verified by the following means: |
Oral exam |
Written exam |
Practical exam |
Skills - skills achieved by taking this course are verified by the following means: |
Seminar work |
Group presentation at a seminar |
Practical exam |
Competences - competence achieved by taking this course are verified by the following means: |
Seminar work |
Individual presentation at a seminar |
Written exam |
Oral exam |
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Teaching methods
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Knowledge - the following training methods are used to achieve the required knowledge: |
Lecture with visual aids |
Interactive lecture |
Lecture supplemented with a discussion |
Task-based study method |
Multimedia supported teaching |
Skills - the following training methods are used to achieve the required skills: |
Practicum |
Skills demonstration |
Task-based study method |
Cooperative instruction |
Competences - the following training methods are used to achieve the required competences: |
Skills demonstration |
Practicum |
Project-based instruction |
Textual studies |
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