Kaisa_2012_3_photo by Veikko Somerpuro

12.8.2019 at 09:00 - 11.9.2019 at 23:59


Here is the course’s teaching schedule. Check the description for possible other schedules.

Wed 11.9.2019
09:15 - 11:45
Wed 18.9.2019
09:15 - 11:45
Tue 24.9.2019
09:15 - 11:45
Wed 25.9.2019
09:15 - 11:45
Wed 2.10.2019
09:15 - 11:45
Wed 9.10.2019
09:15 - 11:45
Wed 16.10.2019
09:15 - 11:45
Wed 30.10.2019
09:15 - 11:45
Wed 6.11.2019
09:15 - 11:45
Wed 13.11.2019
09:15 - 11:45
Wed 20.11.2019
09:15 - 11:45
Wed 27.11.2019
09:15 - 11:45
Wed 4.12.2019
09:15 - 11:45
Wed 11.12.2019
09:15 - 11:45


Compulsory course

The course belongs to the USP-300 module

The course is not available to students from other degree programmes.

After completing the course, the student can

  • define a clear and justified research question in GIS

  • choose the most suitable GIS data and methods to solve a research question

  • use up-to-date data visualization techniques

  • use independently and professionally the methods introduced in the course and apply them in the USP studios and Master’s thesis

Recommended time for completion: first year

The course is offered in periods 1 + 2.

The course consists of weekly lectures and assignments through which students acquaint themselves with GIS-based analysis and data visualization in the fields of urban studies and planning. The course examines various themes including digital representations, spatial entities and object types, raster and vector data, GIS and data structures, visualization and rendering, GIS and networks, web publishing and printing and volumetric data.

To be indicated by the teachers

Weekly lectures, practicals with supervision and a final project that is done independently or as pair work.

The course will be graded in the scale 0–5.

The final grade consists of (1) participation in contact teaching sessions (10 %), (2) weekly assignments (30 %) and final report (60 %).

Teachers in course:

Sara Todorovic; sara.todorovic@helsinki.fi

Tatu Leppämäki; tatu.leppamaki@helsinki.fi

  • Lectures: Each week features a new topic and a related reading assignments

  • Practicals: Independent work with supervision. Reports of the weekly assignments are handed in before the next week’s class.

  • Final project: Each student designs and executes a GIS-based analysis by selecting the most suitable data, methods and visualization techniques to address a specific research question. The project can also be done as pair work. It can be connected to one of the lectures or practicals or it can be designed independently. The project will be handed in as a report that includes at least one data visualization.