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AI2152 Quantitative Methods Applied to Real Estate and Construction Management 7.5 credits

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Headings with content from the Course syllabus AI2152 (Autumn 2019–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Descriptive statistics, random variables and probability distributions; regression analysis; hypothesis testing, predictions; econometric models with cross-section, time-series and panel data; model assumptions; demand and supply analysis; Excel; R and/or Python; Chi2-tests; quantitative models and research in real estate and financial economics; supervised and unsupervised learning.

Intended learning outcomes

The overall objective of the course is to provide basic knowledge in different quantitative methods, especially econometric methods, but also other popular statistical and quantitative methods needed for empirical and theoretical analyzes of various economic activities and processes. The students will also learn work with modern tools for quantitative data analysis like R and/or Python, as well as Excel, with the purpose of being able to write empirical reports.

By the end of this course the student will be able to:

  • formulate and apply different econometric and statistical methods for empirical analysis of cross-sectional data, time series data and panel data,

  • formulate and apply various quantitative methods for economic analysis of economic events in society in general and in particular in real estate, construction and financial markets,

  • analyze and propose potential solutions to problems with different model assumptions,

  • give examples of how quantitative methods can be used to analyze and develop activities that can lead to economic, environmental, and social sustainable development,

    in order to provide decision makers with information that can lead to more correct decisions being made.

Literature and preparations

Specific prerequisites

Eligibility to the master’s programme in Real Estate and Construction Management.

Recommended prerequisites

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Information about course literature is presented in the course PM.

Examination and completion

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

Grading scale

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


  • INL1 - Assignment, 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.

Opportunity to complete the requirements via supplementary examination

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Opportunity to raise an approved grade via renewed examination

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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

Main field of study

Built Environment

Education cycle

Second cycle

Add-on studies

No information inserted


Han-Suck Song (