LEARNING OUTCOMES
The student can identify the main spatial data modelling methods and understand how they are implemented. The student understands the basic principles of spatial data structures and algorithms. The student can apply modelling techniques and algorithms to spatial problems. The student can evaluate the suitability of solutions.
Credits: 5
Schedule: 24.10.2023 - 07.12.2023
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:
Spatial data modeling methods, data management and maintenance. Spatial algorithms, data structures, and indexing methods. Programming and GIS, as well as programming environments for GIS tools.
Assessment Methods and Criteria
valid for whole curriculum period:
Assignments and exam
Workload
valid for whole curriculum period:
Lectures (24), assignments (50), self-study (30), preparation for examination and examination (30)
DETAILS
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language : English
Teaching Period : 2022-2023 Autumn II
2023-2024 Autumn IIEnrollment :
Registration for the courses via Sisu (sisu.aalto.fi).