GMT657 - REAL ESTATE VALUATION
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| REAL ESTATE VALUATION | GMT657 | Any Semester/Year | 3 | 0 | 3 | 7 |
| Prequisites | ||||||
| Course language | Turkish | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Question and Answer Preparing and/or Presenting Reports | |||||
| Instructor (s) | Assoc. Prof. Dr. Halil AKDENÄ°Z | |||||
| Course objective | Provide information about the subject of real estate valuation which has an important role in urban development. | |||||
| Learning outcomes |
| |||||
| Course Content | Land constitution. Property right and land policy. Valuation of land rights. Completion of valuation methods of land and of built property. Valuation duties in urban reconstruction and development. Evaluation of economic efficiency. Design and arrangement of valuation certificates. Land valuation boards. Processing and organization. | |||||
| References | Taşınmaz Değerlemesi, Prof. Dr. Erol Köktürk,Dr. Erdal Köktürk 5. Baskı, Ocak 2022 | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Property right.Market data and income approaches to value estimates.. |
| Week 2 | Land policy |
| Week 3 | Valuation of land rights |
| Week 4 | Valuation of land rights |
| Week 5 | Valuation methods of land and built property |
| Week 6 | Midterm exam |
| Week 7 | Valuation methods of land and built property |
| Week 8 | Market data and income approaches to value estimates |
| Week 9 | Market data and income approaches to value estimates |
| Week 10 | Valuation duties in urban re-construction and development |
| Week 11 | Midterm exam |
| Week 12 | Valuation duties in urban re-construction and development |
| Week 13 | Presentation |
| Week 14 | Presentation |
| Week 15 | Final preparation |
| Week 16 | Final exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 14 | 5 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 5 | 5 |
| Presentation | 1 | 10 |
| Project | 0 | 0 |
| Seminar | 0 | 0 |
| Midterms | 2 | 30 |
| Final exam | 1 | 50 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 17 | 50 |
| Percentage of final exam contributing grade succes | 1 | 50 |
| Total | 100 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 16 | 3 | 48 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 6 | 84 |
| Presentation / Seminar Preparation | 1 | 10 | 10 |
| Project | 0 | 0 | 0 |
| Homework assignment | 5 | 4 | 20 |
| Midterms (Study duration) | 2 | 16 | 32 |
| Final Exam (Study duration) | 1 | 16 | 16 |
| Total Workload | 39 | 55 | 210 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. Define problems in Geomatics Engineering and use Information Technology effectively in order to solve these problems. | X | ||||
| 2. Learn basic Mathematics, Science and Engineering formations and use them productively in professional life | X | ||||
| 3. Choose, use and improve recent technology and methods that needed for Geomatics Engineering applications | X | ||||
| 4. Earn the ability of producing new spatial products with data coming from international Geomatics application by using his/her qualification of obtaining, interpretation and analyzing of spatial data and by adding personal viewpoint | X | ||||
| 5. Estimate geodetic and geodynamic parameters with geodetic observations and use kinematic and dynamic functional models effectively in studies | X | ||||
| 6. Know advanced national and international applications in areas of Photogrammetry and Laser Scanning and contribute to the development processes of these applications | X | ||||
| 7. Develop strategies for data collection from space/aerial images and aerial/terrestrial laser scanning data; define the most appropriate methods for data extraction from collected data; process, analysis, integrate data with other spatial data, develop models; attend to field works and present results and outputs visually, statistically and thematically | X | ||||
| 8. Develop case / aim specific static or dynamic online systems, design spatial database management systems and produce visual products by following recent developments in GIS environment | X | ||||
| 9. Find solutions for aim relevant data obtainment by being familiar with working principle of scanning devices and sensors and their usage areas | X | ||||
| 10. Design systems which are considering scientific facts for more economically and more reliable management of industrial and infrastructure applications | X | ||||
| 11. Consider factors of social, environmental, economic, health and job security in professional life. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest