Syllabus

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: 25.10.2022 - 08.12.2022

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:

  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:

  Substitutes for Courses

Prerequisites

• valid for whole curriculum period:

  Prerequisites

SDG: Sustainable Development Goals

11 Sustainable Cities and Communities

15 Life on Land

FURTHER INFORMATION

Further Information

• valid for whole curriculum period:

  Teaching Language : English

  Teaching Period : 2022-2023 Autumn II
  2023-2024 Autumn II

  Enrollment :

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

Description