GMT614 - VERY LONG BASELINE INTERFEROMETRY
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| VERY LONG BASELINE INTERFEROMETRY | GMT614 | Any Semester/Year | 3 | 1 | 3 | 7 |
| Prequisites | NOne | |||||
| Course language | Turkish | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Question and Answer Drill and Practice | |||||
| Instructor (s) | Assoc. Prof. Dr. Kamil TEKE | |||||
| Course objective | Analysis of the space geodetic technic i.e. Very Long Baseline Interferometry (VLBI) observations and estimation of global geodetic, geodynamic and astrometric parameters. Interpretation of the geodetic, geodynamic and astrometric parameters which are derived from this space geodetic technic. | |||||
| Learning outcomes |
| |||||
| Course Content | Spectral analysis. Interferometry. Time systems. Geodetic astronomy, quasar structure, celestial reference systems. Earth inner structure, earth crust and plate tectonics. Terrestrial reference systems. Earth orientation parameters, troposphere, ionosphere, gravitational, and relativistic error models on propagation of radio waves. Solid earth tides, ocean tidal loading, tidal and non-tidal atmosphere pressure loading. Pole tides. Excitation functions of Earth rotation (e.g. atmospheric and oceanic angular momentum functions), intra- and inter-technique combination of geodetic parameters at normal equation level (e.g. ITRF, ICRF, IERS 05 C04 EOP series). | |||||
| References | - Astrometry and geodesy with radio interferometry: experiments, models, results, Reviews of Modern Physics, 70 (4), 13931453, Sovers. O.J.,Fanselow. J.L., Jacobs C.S., 1998, - The new Vienna VLBI Software VieVS, Böhm J., Böhm S., Nilsson T., Pany A., Plank L.,Spicakova H., Teke K., Schuh H., Proceedings of IAG Scientific Assembly 2009, International Association of Geodesy Symposia Series vol. 136, edited by S. Kenyon, M. C. Pacino, U. Marti, 1007-1011, 2012. | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Spectral analysis. Interferometry. |
| Week 2 | Time systems. |
| Week 3 | Geodetic astronomy, quasar structure, celestial reference systems |
| Week 4 | Earth inner structure, earth crust and plate tectonics. |
| Week 5 | Terrestrial reference systems. Earth orientation parameters. |
| Week 6 | Midterm exam |
| Week 7 | Troposphere, ionosphere, gravitational, and relativistic error models on propagation of radio waves. |
| Week 8 | Solid earth tides, ocean tidal loading, tidal and non-tidal atmosphere pressure loading. Pole tides. |
| Week 9 | Excitation functions of Earth rotation (e.g. atmospheric and oceanic angular momentum functions) |
| Week 10 | Intra- and inter-technique combination of geodetic parameters at normal equation level (e.g. ITRF, ICRF, IERS 05 C04 EOP series). |
| Week 11 | Midterm exam |
| Week 12 | Harmonic components of the tidal motions of antenna TRF position. |
| Week 13 | Harmonic components of the tidal motions of Earth Orientation Parameters (EOP). |
| Week 14 | Harmonic components of the tidal motions of Earth Orientation Parameters (EOP). |
| Week 15 | Final preparation |
| Week 16 | Final Exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 16 | 5 |
| Laboratory | 0 | 0 |
| Application | 1 | 5 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 5 | 10 |
| Presentation | 0 | 0 |
| Project | 0 | 0 |
| Seminar | 0 | 0 |
| Midterms | 2 | 30 |
| Final exam | 1 | 50 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 24 | 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 | 1 | 10 | 10 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 16 | 4 | 64 |
| Presentation / Seminar Preparation | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Homework assignment | 5 | 10 | 50 |
| Midterms (Study duration) | 2 | 9 | 18 |
| Final Exam (Study duration) | 1 | 20 | 20 |
| Total Workload | 41 | 56 | 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