ENY-C2005 - Geoinformation in Environmental Modelling, Lecture, 12.1.2022-25.2.2022

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Please note! Course description is confirmed for two academic years, 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.

LEARNING OUTCOMES

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.

Credits: 5

Schedule: 12.01.2022 - 25.02.2022

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Jussi Nikander

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content

  • valid for whole curriculum period:

    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

  • valid for whole curriculum period:

    Lectures and assignments, grading based on assignments and exam

Workload

  • valid for whole curriculum period:

    Lectures 11 x 2 h, assignments 63 h (mainly teamwork), individual studying 50 h

DETAILS

Study Material

  • valid for whole curriculum period:

    To be announced

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    11 Sustainable Cities and Communities

    13 Climate Action

    15 Life on Land

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching Period:

    2020-2021 Spring III

    2021-2022 Spring III

    Course Homepage: https://mycourses.aalto.fi/course/search.php?search=ENY-C2005

    Registration for Courses: In the academic year 2021-2022, registration for courses will take place on Sisu (sisu.aalto.fi) instead of WebOodi.

    Registration via WebOodi

Rules of Conduct - Students´ Rights and Responsibilities (in force from 1 August 2020)

Aalto University Code of Academic Integrity and Handling Violations Thereof