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Course info
USII / EGISL
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Course description
Department/Unit / Abbreviation
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USII
/
EGISL
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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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GIS and Regional Economic Development
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Form of course completion
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Examination
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Form of course completion
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Examination
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Long Title
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Geographic Information Systems and Regional Economic Development
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Accredited / Credits
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Yes,
6
Cred.
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Type of completion
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-
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Type of completion
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-
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Time requirements
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Lecture
2
[HRS/WEEK]
Seminar
2
[HRS/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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|
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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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Winter semester
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Semester taught
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Winter semester
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Minimum (B + C) students
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not determined
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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 |
A|B|C|D|E|F |
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 |
Yes
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Fundamental theoretical course |
No
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Evaluation scale |
A|B|C|D|E|F |
Evaluation scale for credit before examination |
S|N |
Substituted course
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USII/AGISL
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Preclusive courses
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N/A
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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 aim of the course is to acquaint students with basic issues and principles of geographic information systems, especially principles of spatial modelling, basic data models and spatial analyses to be able to understand the benefits and abilities of GIS and to be able to use them as a decision support system. Students will be able to solve partial spatially oriented problems, they will: - understand the differences between basic data models and; - understand the principles of spatial analyses and; - know how to select an appropriate data model and apply adequate methods of spatial analyses when solving selected spatially oriented problems. Students will obtain knowledge how to interpret obtained results, visualise them and how to defend the selected methods in discussions.
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Requirements on student
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The graded assignment is granted upon submitting and recognition of all given tasks at seminars, passing the final written test and the oral examination.
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Content
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Introduction to problems of the remote sensing (RS) Physical base of the remote sensing and spectral demonstration of selected surface types in particular spectral segments Conventional methods of RS Remote sensing in the thermal spectral segment Remote sensing in the microwave spectral segment. Satellite systems Application of RS Pre-processing of image records Highlighting of image records Spatial highlighting Spectral highlighting Classification of the digital image record Recognition of changes on the RS materials
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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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Prerequisites - other information about course preconditions |
Knowlege and skills in the field of geographic information systems in extent of the subject AGIS1 are reguired, namely knowledge of vector and raster data models, konwledge of spatial analyses, knowledge of basics of cartography and ability to use ArcGIS Desktop. |
Competences acquired |
Students will be familiar with remote sensing and digital image processing. Students will be able to apply selected technology in practice. |
Teaching methods |
- Monologic (reading, lecture, briefing)
- Dialogic (discussion, interview, brainstorming)
- Skills training
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Assessment methods |
- Oral examination
- Written examination
- Home assignment evaluation
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