Subject Datasheet
Download PDFI. Subject Specification
1. Basic Data
1.1 Title
Close-range photogrammetry
1.2 Code
BMEEOFTDT84
1.3 Type
Module with associated contact hours
1.4 Contact hours
| Type | Hours/week / (days) |
| Lecture | 2 |
1.5 Evaluation
Exam
1.6 Credits
3
1.7 Coordinator
| name | Dr. Bence MOLNÁR |
| academic rank | Associate professor |
| molnar.bence@emk.bme.hu |
1.8 Department
Department of Photogrammetry and Geoinformatics
1.9 Website
1.10 Language of instruction
english
1.11 Curriculum requirements
Ph.D.
1.12 Prerequisites
1.13 Effective date
1 September 2022
2. Objectives and learning outcomes
2.1 Objectives
Capable to analyse close-range photogrammetry projects and improve accuracy based on a good understanding of theory. Students will process and understand state-of-the-art papers and present them to other participants. Finally, there will be practical work as well where students can apply recently learned knowledge.
2.2 Learning outcomes
Upon successful completion of this subject, the student:
A. Knowledge
- State-of-the-art photogrammetry algorithms and solutions
B. Skills
- Solving difficult situations during post processing
C. Attitudes
- Search for related papers and recent technologies/algorithms
D. Autonomy and Responsibility
- Understand and apply recent algorithms and solutions.
2.3 Methods
Literature processing
2.4 Course outline
| Week | Topics of lectures and/or exercise classes |
| 1. | |
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| 14. |
The above programme is tentative and subject to changes due to calendar variations and other reasons specific to the actual semester. Consult the effective detailed course schedule of the course on the subject website.
2.5 Study materials
Consultaion
2.6 Other information
2.7 Consultation
This Subject Datasheet is valid for:
2024/2025 semester I
II. Subject requirements
Assessment and evaluation of the learning outcomes
3.1 General rules
3.2 Assessment methods
| Evaluation form | Abbreviation | Assessed learning outcomes |
| Presentation | P | A.1; B.1; C.1; D.1 |
The dates of deadlines of assignments/homework can be found in the detailed course schedule on the subject’s website.
3.3 Evaluation system
| Abbreviation | Score |
| P | 100% |
| Sum | 100% |
3.4 Requirements and validity of signature
3.5 Grading system
| Grade | Points (P) |
| excellent (5) | |
| good (4) | |
| satisfactory (3) | |
| passed (2) | |
| failed (1) |
3.6 Retake and repeat
3.7 Estimated workload
| Activity | Hours/semester |
| Prepare | 90 |
| Sum | 90 |
3.8 Effective date
1 September 2022
This Subject Datasheet is valid for:
2024/2025 semester I