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Onur Demirci works as a Senior Lecturer (International Equivalency can be found HERE) and a Course Leader (Programme Leader) in Westminster Business School of Applied Management, the University of Westminster.  He is currently conducting various research projects on the FinTech, PropTech digital innovations (Artificial Intelligence - AI, Big Data and Smart City), as part of a broader digital transformation in the property industry. Onur's job is thinking things about digitalisation that most people in the industry are not thinking of - yet.

He is creating algorithms (mathematical models) on the Automated Valuation Models (AVMs), based on Big Data, Artificial Intelligence - AI and the Smart City (Internet of Things - IoT).

As Course Leader (Programme Leader), Onur's principal duties include Academic Leadership, Course Management, Quality Assurance & Enhancement, Student Induction & Support, Recruitment & Admissions and Personal Development.

His crucial leadership responsibilities include:

  • Provide academic leadership and direction for the course, ensuring that it reflects University and School policy, practice and processes; address and resolve issues relating to the quality of course delivery, student satisfaction, student progress and retention as they arise. 
  • Manage and lead Module Leaders, Lecturers and Tutors understand the philosophy and objectives of the course and the needs of students.
  • Liaise effectively and work professionally with all members of the course team including administrative and any technical staff to ensure that students receive high-quality academic support.
  • Lead the process of validation, revalidation and continuous review of the course, ensuring the content and pedagogy are updated and consistent with the needs of HE regulators, employers and relevant professional bodies.
  • Liaise with external bodies and internal colleagues to support the course design and delivery. 
  • Provide a holistic overview of the course to ensure the coherence of all elements (modules) of the course and that there is a course-level schedule of assessments which ensures the diversity of assessments and avoids the bunching of assessments.
  • Ensure the embedding and development of employability skills, including the provision of opportunities and work-related experiences. 
  • Maintain awareness of developments across the sector which may impact on the competitiveness of the course and it is attractiveness to applicants.

Onur is an expert on all of the five types of Automated Valuation Models (AVMs). These are hedonic models, econometric forecasts, 'intelligent' systems (Artificial Neural Networks - ANN and Fuzzy Logic), house price index (HPI) models and tax assessed value models (TAV). 

Onur’s research interests are the AVMs, FinTech, PropTech digital innovations, Game Theory, Decision Theory, Neoclassical Theory, Critical Theory, Covering-Law Model which includes the Deductive-Nomological Model (D-N Model) and the Inductive-Statistical Model (I-S Model), Valuations, Real Estate Finance (predominantly Asset Management - Financial Gearing, Financial Hedging and Derivatives), Property Markets, Big Data, Smart City, Artificial Intelligence (AI) and the Geographic Information System (GIS) with a specific focus on the algorithm-based valuation models. 

He supervises and assesses both the Undergraduate and Postgraduate dissertations (thesis).

For further information, please refer to the 'Research' tab.

External Activities

  • Affiliated and Matriculated Member of the University of Cambridge, Homerton College
  • Affiliated and Matriculated Member of the Oxford Institute for Sustainable Development (OISD)
  • The University of Cambridge, Homerton College Alumni
  • UCL (University College London), The Bartlett Alumni
  • Qualified Teacher Status (QTS) awarded by The Department for Education of Her Majesty's Government
  • Fellow of The Higher Education Academy (FHEA)
  • Fellow of The Royal Statistical Society
  • Fellow of The Royal Geographical Society (with the Institute of British Geographers)
  • Fellow of The Royal Society  for the Encouragement of Arts, Manufactures and Commerce

Teaching

Onur leads and lectures on a number of Undergraduate and Postgraduate modules. 

Undergraduate Teaching:

He is the Module Leader for the following core modules: 

  • a. BSc., Year I, Introduction to Property Investments and Valuations (Core, Double Module, 40 Credits)   
  • b. BSc., Year II, Residential Survey and Development (Core, 20 Credits) 
  • c. BSc., Year III, Property Management [Valuation for Enfranchisement] (Core, Double Module, 40 Credits)
  • d. BSc., Year III, Sustainability and Environmental Policy (Core, 20 Credits)

He is the Module Academic Member for the following modules:  

  • a. BSc., Year I, Introduction to Planning and Sustainability (Core, 20 Credits)
  • b. BSc., Year I, Introduction to Building Technology (Core, 20 Credits)
  • c. BSc., Year II, Commercial Practice [Valuation & Law] (Core, Double Module, 40 Credits)
  • d. BSc., Year III, Global Practice (Core, 20 Credits)
  • e. BSc., Year III, Tech 6 (Core, Double Module, 40 Credits)
  • f. BSc., Year III, Development Project (thesis) (Core, Double Module, 40 Credits)

Postgraduate Teaching:

  • a. MSc., Space Strategies and Legislation (Core, 20 Credits)
  • b. MSc., Valuation and Law (20 Credits)
  • c. MSc., Property Finance: Lending and Risk Strategies (20 Credits)
  • d. MSc., Finance and Asset Management (Core, 20 Credits)
  • e. MSc., Dissertation (Core, Double Module 40 Credits)

He supervises and assesses both the Undergraduate and Postgraduate dissertations (thesis).

He is a personal tutor (University Academic Tutor) to both Undergraduate and Postgraduate students. He has an active interest in a student's academic progress and university experience and is concerned for a student's general welfare.

Onur is also a professional tutor (Apprentice Tutor for the Undergraduate Degree Apprentice students), liaising, working with professional services and the industry.

Research

Onur’s research interests are the AVMs, FinTech, PropTech digital innovations, Game Theory, Decision Theory, Neoclassical Theory, Critical Theory, Covering-Law Model which includes the Deductive-Nomological Model (D-N Model) and the Inductive-Statistical Model (I-S Model), Valuations, Real Estate Finance (predominantly Asset Management - Financial Gearing, Financial Hedging and Derivatives), Property Markets, Big Data, Smart City, Artificial Intelligence (AI) and the Geographic Information System (GIS) with a specific focus on the algorithm-based valuation models. 

Onur is currently conducting various research projects on the FinTech, PropTech digital innovations (Artificial Intelligence - AI, Big Data and Smart City), Game Theory, Decision Theory, Neoclassical Theory, Critical Theory, Covering-Law Model which includes the Deductive-Nomological Model (D-N Model) and the Inductive-Statistical Model (I-S Model) as part of a broader digital transformation.

He is creating algorithms (mathematical models) on the Automated Valuation Models (AVMs), based on Big Data, Artificial Intelligence - AI and the Smart City (Internet of Things - IoT). He uses numerous algorithms, including the GLM (General Linear Models) and GRM (General Regression Models). He has a focus on both the Regression-type problems and Classification-type problems.

He is an expert on all of the five types of Automated Valuation Models (AVMs) - Mathematical Models. These are hedonic models, econometric forecasts, 'intelligent' systems (Artificial Neural Networks - ANN and Fuzzy Logic), house price index (HPI) models and tax assessed value models (TAV). 

The models include The Hedonic Regression Analysis, The Regression Tree Algorithm and The Linear Regression (The Multivariate Regression Model and Multiple Regression Analysis).