AI2154 Advanced Valuation and Analysis 7.5 credits
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Application
For course offering
Spring 2025 Start 14 Jan 2025 programme students
Application code
60374
Content and learning outcomes
Course contents
Real estate valuation methods, sensitivity and scenario analysis, real estate data, market for real estate valuation
Intended learning outcomes
Upon completion of the course, course participant should be able to:
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Apply and analyze traditional and advanced real estate valuation methods.
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Describe and analyze real estate market data challenges.
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Explain and analyze changes in market conditions for real estate valuation services.
Literature and preparations
Specific prerequisites
Knowledge in quantitative methods equivalent to the content in the course AI2152.
Recommended prerequisites
Equipment
Literature
Articles and reports.
Main textbook; Goddard, J. (2022) "Real Estate Valuation: A Subjective Approach"
Lind & Nordlund, Advanced issues in property valuation. Wiley Blackwell
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
Examination
- TEN1 - Written exam, 4.5 credits, grading scale: A, B, C, D, E, FX, F
- ÖVN1 - Exercises, 3.0 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.
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
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.