- The workings of the real estate and rental market
- Regression analysis with bivariate data
- Regression analysis with time series data
AI2130 Quantitative Methods with Real Estate Application 7.5 credits

The course is about quantitative methods with applications on the real estate and rental markets.
Information per course offering
Course offerings are missing for current or upcoming semesters.
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus AI2130 (Autumn 2007–)Content and learning outcomes
Course contents
Intended learning outcomes
After the course students must be able to:
- Use quantitative methods for analysing correlations, trends and forecasting as they apply to real estate
- Construct index series
- Understand the structure and regression analytic background of real estate taxes.
Literature and preparations
Specific prerequisites
Economics besides Mathematical Statistics.
Literature
Economics for the Built Environment, Statistics or equivalent
Examination and completion
Grading scale
Examination
- ÖVN1 - Exercises, 3.0 credits, grading scale: P, F
- TEN1 - Examination, 4.5 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.
If the course is discontinued, students may request to be examined during the following two academic years.
Other requirements for final grade
Written examination (TEN1; 4,5 cr)
Assignments (INL1; 3 cr)
Examiner
Ethical approach
- 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.