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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–)
Headings with content from the Course syllabus AI2130 (Autumn 2007–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

  • The workings of the real estate and rental market
  • Regression analysis with bivariate data
  • Regression analysis with time series data

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

A, B, C, D, E, FX, F

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.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Education cycle

Second cycle