Credits: 5

Schedule: 30.10.2018 - 11.12.2018

Teacher in charge (valid 01.08.2018-31.07.2020): 

NN

Teaching Period (valid 01.08.2018-31.07.2020): 

II (autumn semester)

Learning Outcomes (valid 01.08.2018-31.07.2020): 

The student can identify the main spatial data modeling methods and their implementations. The student can understand the principles of spatial data structures and algorithms. The student can apply modeling techniques and algorithms in spatial problems. The student can evaluate the suitability of the solutions.

Content (valid 01.08.2018-31.07.2020): 

Spatial data modeling methods. Spatial algorithms, spatial data structures, spatial indexing methods. Introduction to programming environments for GIS. Spatial simulation methods and visualization techniques.

Assessment Methods and Criteria (valid 01.08.2018-31.07.2020): 

Lectures, assignments and exam

Workload (valid 01.08.2018-31.07.2020): 

Lectures (20), assignments (50), self-study (35), preparation for examination and examination (30)

Study Material (valid 01.08.2018-31.07.2020): 

Lecture notes and additional literature

Prerequisites (valid 01.08.2018-31.07.2020): 

GIS-E1030 Introduction to Spatial Methods

Grading Scale (valid 01.08.2018-31.07.2020): 

0-5

Registration for Courses (valid 01.08.2018-31.07.2020): 

Oodi

Description

Registration and further information