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.
Understand the principles and methods of varying spatial data formats and live data resources.
Create on overview of open data repositories and use of open application programming interfaces.
Apply learned skills to use multiple industry standard data to acquire sufficient data for urban planning exercise.
Schedule: 18.01.2021 - 16.02.2021
Teacher in charge (valid 01.08.2020-31.07.2022): Teemu Jama, Anssi Joutsiniemi
Teacher in charge (applies in this implementation): Teemu Jama, Anssi Joutsiniemi
Contact information for the course (applies in this implementation):
CEFR level (applies in this implementation):
Language of instruction and studies (valid 01.08.2020-31.07.2022):
Teaching language: English
Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
The course equips participants with tools to acquire, analyze and simulate spatial data, and use this data input for urban research and planning exercises. By the end of the course participants are familiar with available spatial data formats and are capable on analyzing the availability and quality of open data sources. Participants will understand the software and hardware specifications required for specific data types. The emphasis will be on rapid development of specifications, data acquisition and requirements for simulation and visualization. The course is supported by USP industry partners who offer the most recent insight on daily use of spatial data in planning practice.
Assessment Methods and Criteria
Class discussions supported by industry partners and guest lecturers
Hands-on data acquisition exercises
Total 135 hours. Tutored studies 35 hrs (lectures, class assignments, feedback reviews), independent study 100 hrs (exercises and assignments).
Specifications and technical documentations defined in lectures.
The course UrbanGIS needs to be passed
SDG: Sustainable Development Goals
11 Sustainable Cities and Communities
15 Life on Land