Basics of QGIS (3 cr)
Code: 6M00FC57-3001
General information
- Enrolment period
- 03.08.2019 - 15.09.2019
- Registration for the implementation has ended.
- Timing
- 02.09.2019 - 20.12.2019
- Implementation has ended.
- Credits
- 3 cr
- Mode of delivery
- Contact learning
- Unit
- School of Industrial Engineering
- Campus
- TAMK Main Campus
- Teaching languages
- Finnish
- Seats
- 5 - 20
- Degree programmes
- Degree Programme in Forestry
Objectives (course unit)
The student knows how to to process and store spatial data with QGIS software and how to create new spatial data. The student also knows how to visualize spatial data and utilize some basic analyzes with vector data.
Content (course unit)
QGIS interface
Coordinate systems in QGIS
Processing of raster and vector data
Creating printable maps
Databases and queries
Vector analyses
Prerequisites (course unit)
Basics of GIS
Location and time
10th October - 12th December
TAMK Main campus
Exam schedules
No exam, assessment is based on the coursework.
Assessment scale
0-5
Teaching methods
classroom teaching
exercises
self studying
course work
Learning materials
Introduction to QGIS
https://volaya.github.io/gis-book/en/index.html
QGIS Training Manual
https://docs.qgis.org/testing/en/docs/training_manual/index.html
Student workload
face-to-face education 40 hours, including the course work.
40 h student's own work
Content scheduling
QGIS interface and main tools
Adding vector data
Adding raster data
Coordinate properties
Downloading open data
Map services
Layer styling
Attribute data
Thematis maps
Queries and saving selections
Updating attributes
Georeferencing - rectifying raster
Entering GPS data
Making own maps (vector data)
Map Desing
Completion alternatives
Participating lectures, doing exercises and course work.
International connections
Teaching in english, exchange students enrolled on the course.
Further information
QGIS recommended to install on own laptops which enables practising at home.
Assessment criteria - fail (0) (Not in use, Look at the Assessment criteria above)
The studen does not return the report of the coursework.
Assessment criteria - satisfactory (1-2) (Not in use, Look at the Assessment criteria above)
The student has attended the course and could pull through the coursework according the given frames only with the assistance of the teacher.
Assessment criteria - good (3-4) (Not in use, Look at the Assessment criteria above)
The student has carried out the coursework mainly on her/his own and with some guidance of the teacher. The report contains the given fraims of the course work with some sign of the own, quite skilful use of statial data.
Assessment criteria - excellent (5) (Not in use, Look at the Assessment criteria above)
The student has succesfully applied his/her own skills in implementing the coursework and thus has shown his/her ability to apply and produce new information in using and combinying spatial data. Implementation has been mainly independent.