Please note! Course description is confirmed for two academic years (1.8.2018-31.7.2020), which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.
The student comprehends basic theories of object and field based spatial data models, the role of spatial relationships and the related concepts of uncertainty.
The student can select appropriate object and field data models for various environmental applications.
The student comprehends the elementary spatio-statistical analysis methods and the special requirements in analyzing spatial data (examples: spatial autocorrelation, interpolation, graph analysis, raster based analysis).
The student can perform elementary spatial analyses on environmental data.
The student can select the appropriate visualization methods for presenting environmental data and prepare a good map.
The student comprehends the role of geoinformatics as a field of science and its relationships to environmental and natural sciences.
The student can explain the basics of spatial referencing by coordinate systems and projections and recognizes the basic principles, technologies and applicability of geodetic positioning, remote sensing, laser scanning and photogrammetry.
Schedule: 13.01.2021 - 26.02.2021
Teacher in charge (valid 01.08.2020-31.07.2022): Jussi Nikander
Teacher in charge (applies in this implementation): Jussi Nikander
Contact information for the course (applies in this implementation):
CEFR level (applies in this implementation):
Language of instruction and studies (valid 01.08.2020-31.07.2022):
Teaching language: English
Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
This course deals with the specialties of spatial phenomena and objects from the point of view of modeling, analyzing and visualization in environmental applications. The course offers introduction to spatial referencing by coordinate systems and projections as well as the basic methods of geodetic positioning, remote sensing, laser scanning, and photogrammetric measurements. Course introduces the basic theory of object and field based spatial data models and the spatial relationships, elementary spatio-statistical analysis methods and most important visualization techniques. The course includes computer class exercises.
Assessment Methods and Criteria
Lectures and assignments, grading based on assignments and exam
Lectures 11 x 2 h, assignments 63 h (mainly teamwork), individual studying 50 h
To be announced
Recommended: C module of ENG-A1001 Computer-aided tools in engineering
SDG: Sustainable Development Goals
11 Sustainable Cities and Communities
13 Climate Action
15 Life on Land