GMK625 - SPATIAL REFERENCING FOR GEOGRAPHIC DATA
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| SPATIAL REFERENCING FOR GEOGRAPHIC DATA | GMK625 | Any Semester/Year | 3 | 0 | 3 | 8 |
| Prequisites | None | |||||
| Course language | English | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Question and Answer | |||||
| Instructor (s) | Assoc. Prof. Berk AnbaroÄŸlu | |||||
| Course objective | The principal objective of this course is to provide the knowledge and skills to appropriately use the geodetic fundamentals required in Geographic/Spatial Information Systems. | |||||
| Learning outcomes |
| |||||
| Course Content | Relation of geodetic fundamentals and Geographic/Spatial Information Systems. Spatial data and specifications. Data collection and positioning methods in Geographic/Spatial Information Systems. Importance of positioning accuracy for Geographic/Spatial Information System applications. Coordinate system, datum, and projection concepts. National geodetic infrastructure. Coordinate and datum transformations with examples. National and international geodetic data standards. Time-dependent changes in geodetic infrastructure. | |||||
| References | - Türkiye Ulusal Coğrafi Bilgi Sistemi (TUCBS) Koordinat Referans Sistemleri ve Coğrafi Grid Sistemleri Kayıt Dokümanı. - ISO 19111:2019 - Geographic information Referencing by coordinates. - ISO 19112:2019 - Geographic information Spatial referencing by geographic identifiers. - ISO 19116:2019 - Geographic information Positioning services. - Springer Handbook of Global Navigation Satellite Systems, Teunissen P.J.G., Montenbruck O. (Eds), Springer, 2017. | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Geodetic infrastructure and Geographic/Spatial Information System integration |
| Week 2 | Spatial data and specifications |
| Week 3 | Data collection and positioning methods in Geographic/Spatial Information Systems |
| Week 4 | Positioning accuracy for Geographic/Spatial Information System applications |
| Week 5 | Coordinate systems |
| Week 6 | Datum, and projection concepts |
| Week 7 | National geodetic infrastructure ? Horizontal |
| Week 8 | National geodetic infrastructure ? Vertical |
| Week 9 | Midterm exam |
| Week 10 | Coordinate transformations with examples |
| Week 11 | Datum transformations with examples |
| Week 12 | Ulusal jeodezik veri standartları |
| Week 13 | International geodetic data standards |
| Week 14 | Time-dependent changes in geodetic infrastructure |
| Week 15 | Preparation for the final exam |
| Week 16 | Final Exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | ||
| Laboratory | ||
| Application | ||
| Field activities | ||
| Specific practical training | ||
| Assignments | ||
| Presentation | ||
| Project | ||
| Seminar | ||
| Midterms | ||
| Final exam | ||
| Total | ||
| Percentage of semester activities contributing grade succes | ||
| Percentage of final exam contributing grade succes | ||
| Total | ||
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 0 | ||
| Laboratory | 0 | ||
| Application | 0 | ||
| Specific practical training | 0 | ||
| Field activities | 0 | ||
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 0 | ||
| Presentation / Seminar Preparation | 0 | ||
| Project | 0 | ||
| Homework assignment | 0 | ||
| Midterms (Study duration) | 0 | ||
| Final Exam (Study duration) | 0 | ||
| Total Workload | 0 | 0 | 0 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. The ability to access the knowledge extensively and deeply and to evaluate and interpret knowledge in the scientific area of interest by means of carrying out a scientific research. | X | ||||
| 2. To have comprehensive knowledge on state-of-the-art techniques and methods used in the research area of interest with their possible constraints. | X | ||||
| 3. To be aware of the novel and emerging applications on his/her profession and to have the ability to search and learn these items when necessary. | X | ||||
| 4. The ability to design engineering problems, to develop and implement innovative methods for finding solutions. | X | ||||
| 5. The ability to develop new and/or novel ideas and methods; the ability to develop innovative solutions for the design problems of a system, a component or a process. | X | ||||
| 6. The ability to complete and apply the knowledge with scientific methods by using limited or incomplete data; to have the ability to integrate information from different disciplines. | X | ||||
| 7. The ability to describe the social and environmental consequences of engineering applications. | X | ||||
| 8. The ability to design and implement the researches based on analytical thinking, modeling and empirical reasoning; the ability to resolve and interpret the complex conditions encountered in this process. | X | ||||
| 9. To act responsibly in the stages of data collection, interpretation, and dissemination as well as consider scientific and ethical values in all professional activities. | X | ||||
| 10. To share the methodology and the results of his/her studies systematically and explicitly through national and international scientific platforms by means of written or oral discourse. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest