Property Valuation
Niveau
1. Master cycle
Learning outcomes of the courses/module
The participations are able to:
• recognize correlations in the valuation procedures and the different types of real estate
• understand the systematics of real estate valuation
• describe national valuation procedures, to apply them and to analyze them critically
• analyze specific approaches or peculiarities of different types of real estate
• carry out independent valuations of different types of real estate
• incorporate sustainability aspects such as energy efficiency, environmental impact and social responsibility into real estate valuations and assess their impact on market value
• implement and monitor AI-supported valuation models to perform accurate and efficient real estate valuations
• recognize correlations in the valuation procedures and the different types of real estate
• understand the systematics of real estate valuation
• describe national valuation procedures, to apply them and to analyze them critically
• analyze specific approaches or peculiarities of different types of real estate
• carry out independent valuations of different types of real estate
• incorporate sustainability aspects such as energy efficiency, environmental impact and social responsibility into real estate valuations and assess their impact on market value
• implement and monitor AI-supported valuation models to perform accurate and efficient real estate valuations
Prerequisites for the course
none
Course content
• Fundamentals of real estate valuation
• Procedure and influencing factors of standardized valuation methods (comparative value method, asset value method, capitalized earnings value method, DCF method, residual value method)
• Introduction to the valuation of rights and encumbrances
• In-depth knowledge and specifics of national valuation methods
• In-depth knowledge and specifics of property valuation according to different property types
• Sustainability factors in real estate valuation
• Automation of valuation processes through AI-supported systems
• Procedure and influencing factors of standardized valuation methods (comparative value method, asset value method, capitalized earnings value method, DCF method, residual value method)
• Introduction to the valuation of rights and encumbrances
• In-depth knowledge and specifics of national valuation methods
• In-depth knowledge and specifics of property valuation according to different property types
• Sustainability factors in real estate valuation
• Automation of valuation processes through AI-supported systems
Recommended specialist literature
• Kranewitter, H., 2017. Liegenschaftsbewertung
• Seiser, F., F. Kainz, F., 2011. Der Wert von Immobilien
• Bienert, S. und M. Funk, M., et al., 2020. Immobilienbewertung Österreich
• Kleiber, W., 2016. Verkehrswertermittlung von Grundstücken
• Sachverständige: offizielles Organ des Hauptverbandes der Allgemein Beeideten und Gerichtlich Zertifizierten Sachverständigen Österreichs
• TEGoVA 2016. European Valuation Standards EVS 2016, TEGoVA
• Seiser, F., F. Kainz, F., 2011. Der Wert von Immobilien
• Bienert, S. und M. Funk, M., et al., 2020. Immobilienbewertung Österreich
• Kleiber, W., 2016. Verkehrswertermittlung von Grundstücken
• Sachverständige: offizielles Organ des Hauptverbandes der Allgemein Beeideten und Gerichtlich Zertifizierten Sachverständigen Österreichs
• TEGoVA 2016. European Valuation Standards EVS 2016, TEGoVA
Assessment methods and criteria
Portfolio work
Language
German
Number of ECTS credits awarded
6
Share of e-learning in %
35
Semester hours per week
3.0
Planned teaching and learning method
ILV (Blended Learning, Inverted Classroom)
Semester/trimester in which the course/module is offered
3
Name of lecturer
n.N.
Academic year
Key figure of the course/module
13_IMB
Type of course/module
integrated lecture
Type of course
Compulsory
Internship(s)
none