AG1421 Real Estate Information Technology 7.5 credits

The course consists of three main parts: Basic knowledge about GIS, the structure and use of the national real estate database, and different types of analyses where information from the real estate database are used in GIS to perform market analyses, real estate valuation and credit assessment.

Topics covered in the first part of course are: raster- and vector data structures, expansion of the relational database structure to also handle geographical information, map projections, geographical reference systems and basic analyses in GIS.
The second part of the course will cover different ways to model real estate information with focus on the national real estate database, and differnt standards for managaing real estate information. Furthermore, legal and economical aspects of developing and managing a real estate database will also be covered.
In the third and last part of the course, GIS will be used as a support tool in performing market analyses, real estate valuation and credit assessment.

The course will focus on swedish conditions but will also give some insights in how real estate information is managed in other countries.

After the course, the students should:

• Have aquired an understanding of how the national real estate database is structured. This includes both the logical structure as well as economical and legal aspects on the managing of real estate information.
• Be able to use information from the real estate database in different analyses. This also includes an ability to evaluate the quality of the information retrieved from the database.
• Have aquired an understanding of basic principles and methods in GIS, such as raster and vector data structures, and be able to search for information in databases and perform basic analyses.
• Be able to perform market analyses, real estate valuation and credit assessment, using the support of GIS.
• Have aquired an insight in how real estate information is managed in other countries.

Lectures 20h
Laboration 36h

Completed course, at list one of:

AI1178 Tillämpad matematik och statistik för ekonomer, or

AI1175 Grundläggande statistik för ekonomer, or

SF1627 Matematik för ekonomer.  

Geografisk Informationsbehandling: teori, metoder, och tillämpningar, Lars Harrie, 2013. ISBN: 9789144088778.

If the course is discontinued, students may request to be examined during the following two academic years.

• LAB2 - Laboratory Work, 3.0 credits, grading scale: P, F
• PRO1 - Project, 1.5 credits, grading scale: P, F
• TEN2 - Examination, 3.0 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Written exam (TEN2; 3 cr)
Laboratory work, (LAB2; 3 cr)
Project (PRO1; 1,5 cr)

When supplementing, bonus points collected at previous courses do not apply

With explicit e-mail request to and approval from examiner no later than 1 month before exam. In the case of approved grade, bonus points accumulated at previous courses do not apply. Possibility of a maximum of 1 approved grade via renewed examination opportunity.

Gyözö Gidofalvi

• All members of a group are responsible for the group's work.
• In any assessment, every student shall honestly disclose any help received and sources used.
• In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.