GIS for Natural Resources ManagementLaajuus (4 cr)
Code: NRM22ME04
Credits
4 op
Objective
The student:
- is able to locate and take into use relevant online GIS-material
- knows how to import data into a GIS-software and how to manage spatial references
- can analyze geographical environmental data
- can visualize geographic information effectively
Content
- Work practically with GIS software
- Different types of GIS data
- Spatial analyses
- Mapping and visualization
Qualifications
No previous knowledge requirements
Assessment criteria, satisfactory (1)
50-60% or 60-70% of the maximum number of credits in the assignments earned, respectively.
Assessment criteria, good (3)
70-80% or 80-90% of the maximum number of credits in the assignments earned, respectively.
Assessment criteria, excellent (5)
90-100% of the maximum number of credits in the assignments earned.
Materials
On the course's moodle page.
Enrollment
15.06.2024 - 22.01.2025
Timing
20.01.2025 - 05.05.2025
Number of ECTS credits allocated
4 op
Mode of delivery
Contact teaching
Unit
Faculty of Bioeconomy
Campus
Ekenäs, Raseborgsvägen 9
Teaching languages
- English
Teachers
- Patrik Byholm
Teacher in charge
Patrik Byholm
Groups
-
NRS24P-ENatural Resources Management, 2024, part-time
-
NRS24H-ENatural Resources Management, 2024
Objective
The student:
- is able to locate and take into use relevant online GIS-material
- knows how to import data into a GIS-software and how to manage spatial references
- can analyze geographical environmental data
- can visualize geographic information effectively
Content
- Work practically with GIS software
- Different types of GIS data
- Spatial analyses
- Mapping and visualization
Evaluation scale
H-5
Assessment criteria, satisfactory (1)
50-60% or 60-70% of the maximum number of credits in the assignments earned, respectively.
Assessment criteria, good (3)
70-80% or 80-90% of the maximum number of credits in the assignments earned, respectively.
Assessment criteria, excellent (5)
90-100% of the maximum number of credits in the assignments earned.
Qualifications
No previous knowledge requirements
Enrollment
01.12.2023 - 22.01.2024
Timing
23.01.2024 - 05.05.2024
Number of ECTS credits allocated
4 op
Mode of delivery
Contact teaching
Unit
Faculty of Bioeconomy
Campus
Ekenäs, Raseborgsvägen 9
Teaching languages
- English
Teachers
- Fabio Balotari Chiebáo
Teacher in charge
Patrik Byholm
Groups
-
NRS23HP-ENatural Resources Management, part-time studies, 2023
-
NRS23HF-ENatural Resources Management, full-time studies, 2023
Objective
The student:
- is able to locate and take into use relevant online GIS-material
- knows how to import data into a GIS-software and how to manage spatial references
- can analyze geographical environmental data
- can visualize geographic information effectively
Content
- Work practically with GIS software
- Different types of GIS data
- Spatial analyses
- Mapping and visualization
Evaluation scale
H-5
Assessment criteria, satisfactory (1)
50-60% or 60-70% of the maximum number of credits in the assignments earned, respectively.
Assessment criteria, good (3)
70-80% or 80-90% of the maximum number of credits in the assignments earned, respectively.
Assessment criteria, excellent (5)
90-100% of the maximum number of credits in the assignments earned.
Qualifications
No previous knowledge requirements
Enrollment
02.12.2022 - 12.02.2023
Timing
13.02.2023 - 26.04.2023
Number of ECTS credits allocated
4 op
Mode of delivery
Contact teaching
Campus
Ekenäs, Raseborgsvägen 9
Teaching languages
- English
Teachers
- Patrik Byholm
Teacher in charge
Patrik Byholm
Groups
-
NRS22HP-ENatural Resources Management, part-time studies, 2022
-
NRS22HF-ENatural Resources Management, full-time studies, 2022
Objective
The student:
- is able to locate and take into use relevant online GIS-material
- knows how to import data into a GIS-software and how to manage spatial references
- can analyze geographical environmental data
- can visualize geographic information effectively
Content
- Work practically with GIS software
- Different types of GIS data
- Spatial analyses
- Mapping and visualization
Evaluation scale
H-5
Assessment criteria, satisfactory (1)
50-60% or 60-70% of the maximum number of credits in the assignments earned, respectively.
Assessment criteria, good (3)
70-80% or 80-90% of the maximum number of credits in the assignments earned, respectively.
Assessment criteria, excellent (5)
90-100% of the maximum number of credits in the assignments earned.
Qualifications
No previous knowledge requirements