Native organizations units: Sub-department for Automatic Control and Systems Engineering
| Type of studies | Title |
|---|---|
| Undergraduate Academic Studies | Clean Energy Technologies (Year: 4, Semester: Winter) |
| Undergraduate Academic Studies | Environmental Engineering (Year: 4, Semester: Winter) |
| Category | Professional-applicative |
| Scientific or art field |
|
| ECTS | 6 |
Students gain fundamental and applied knowledge in the field of geospatial technologies.
The acquired knowledge is used in practical courses, forming and solving engineering problems.
Place and role of geoinformation technologies. Basic terms and terminology. Acquisition of spatial data (GNSS, photogrammetry, remote sensing), GNSS – technology bases and applications. Data acquisition using GNSS technology. Photogrammetry - technology bases and applications. Data acquisition based on photogrammetry. Remote sensing - technology bases and applications. Data acquisition based on remote sensing. Data classification and segmentation. Interpretation and presentation of spatial data. Visualization. Technology bases and applications of visualization. Application of geoinformation technologies in various fields. Interaction with GIS systems.
Teaching methods include lectures, computer practice, consultations , independent work on obligatory assignments. Evaluation: guided and independently developed obligatory assignments and a seminar paper; final examination is oral.
| Authors | Title | Year | Publisher | Language |
|---|---|---|---|---|
| 1997 | English | |||
| 2004 | English |
| Course activity | Pre-examination | Obligations | Number of points |
|---|---|---|---|
| Homework | Yes | Yes | 5.00 |
| Homework | Yes | Yes | 5.00 |
| Homework | Yes | Yes | 5.00 |
| Computer exercise attendance | Yes | Yes | 5.00 |
| Homework | Yes | Yes | 5.00 |
| Lecture attendance | Yes | Yes | 5.00 |
| Oral part of the exam | No | Yes | 50.00 |
| Term paper | Yes | Yes | 20.00 |
Assoc. Prof. Aleksandra Radulović
Associate Professor
Lectures
Assoc. Prof. Luka Mejić
Associate Professor
Computational classes
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© 2024. Faculty of Technical Sciences.