Enrolment options

GIS-E4040 - Spatial Data Science for Sustainable Development, Lecture, 8.1.2024-15.2.2024

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

After completing this course,
- students will understand and deepen their knowledge of a range of modern spatial data science (SDS) techniques and methodologies
- students are able to apply SDS methodologies in practice to a range of sustainability/global change related topics with Python programming language
- students have skills and understanding how to retrieve, handle and analyze modern big geospatial data in different formats

Credits: 5

Schedule: 08.01.2024 - 15.02.2024

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Henrikki Tenkanen

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:

    The course provides a deep insight to modern spatial data science methods which are applied to various topics/questions relating to sustainability and global change. The course covers techniques and modeling approaches for vector and raster data formats as well as for data presented using networks.

Assessment Methods and Criteria

  • valid for whole curriculum period:

    Assignments and final project work.

Workload

  • valid for whole curriculum period:

    Lectures (20 h), self-study (20 h), assignments (50 h), final project work (45 h)

DETAILS

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    3 Good Health and Well-being

    4 Quality Education

    7 Affordable and Clean Energy

    8 Decent Work and Economic Growth

    9 Industry, Innovation and Infrastructure

    10 Reduced Inequality

    11 Sustainable Cities and Communities

    13 Climate Action

    14 Life Below Water

    15 Life on Land

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Spring III
    2023-2024 Spring III

    Enrollment :

    Registration for the courses via Sisu (sisu.aalto.fi).

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

Aalto University Code of Academic Integrity and Handling Violations Thereof

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