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FAI3002 Quantitative Methods with Real Estate Applications 7.5 credits

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 FAI3002 (Spring 2019–)
Headings with content from the Course syllabus FAI3002 (Spring 2019–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

The course is divided into the following main parts:

1. Regression analysis using cross sectional data.

In this part, we study how to establish and quantify relationships between variables, mainly on the real estate market. To do this we will first discuss the technique of regression analysis, both for simple regression analysis and for multiple regression analysis.

2. Regression analysis using time series data.

In this part, we study the central issues regarding regression analysis when applied to data over longer periods, i.e., a time series. We look at both time series analysis and residual analysis.

Intended learning outcomes

After taking this course you should be able to use, understand och interpret quantitative methods, e.g., regression analysis, to examine the real estate market, analyse trends, conduct forecasting and construct index series.

Literature and preparations

Specific prerequisites

Admission to postgraduate studies.

Literature

Announced when the course starts.

Examination and completion

Grading scale

P, F

Examination

  • RAP1 - Report, 7.5 credits, grading scale: P, 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.

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

Third cycle

Postgraduate course

Postgraduate courses at ABE/Real Estate Economics and Finance