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: 10.01.2022 - 18.02.2022
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 report
Workload
valid for whole curriculum period:
Lectures (20 h), self-study (20 h), assignments (50 h), final report (45 h)
DETAILS
Study Material
valid for whole curriculum period:
All the materials are distributed on a dedicated open access website with lecture notes, online programming tutorials and literature.
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
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=GIS-E4040
Registration for Courses: In the academic year 2021-2022, registration for courses will take place on Sisu (sisu.aalto.fi) instead of WebOodi.