Subject Datasheet
PDF letöltéseI. Tantárgyleírás
1. Alapadatok
1.1 Tantárgy neve
IT Technologies
1.2 Azonosító (tantárgykód)
BMEEOFTMSFGG03-00
1.3 Tantárgy jellege
Kontaktórás tanegység
1.4 Óraszámok
| Típus | Óraszám / (nap) |
| Előadás (elmélet) | 1 |
| Laboratóriumi gyakorlat | 2 |
1.5 Tanulmányi teljesítményértékelés (minőségi értékelés) típusa
Félévközi érdemjegy
1.6 Kreditszám
5
1.7 Tárgyfelelős
| név | Dr. Kapitány Kristóf |
| beosztás | Egyetemi docens |
| kapitany.kristof@emk.bme.hu |
1.8 Tantárgyat gondozó oktatási szervezeti egység
Fotogrammetria és Térinformatika Tanszék
1.9 A tantárgy weblapja
1.10 Az oktatás nyelve
magyar
1.11 Tantárgy típusa
Kötelező a Földmérő- és térinformatikai mérnök (MSc) szakon
1.12 Előkövetelmények
1.13 Tantárgyleírás érvényessége
2025. szeptember 1.
2. Célkitűzések és tanulási eredmények
2.1 Célkitűzések
The aim of the course is to provide students with a comprehensive overview of the toolkit of modern information technology, with a particular focus on geoinformatics and engineering applications. Throughout the course, students will become familiar with advanced data acquisition technologies, methods for structured data storage, processing, and analysis, as well as effective techniques for data visualization.
Students will acquire fundamental principles and tools that can enhance the efficiency of geoinformatics and civil engineering design processes through the application of technologies such as Building Information Modeling (BIM), Big Data, the Internet of Things (IoT), and Artificial Intelligence (AI). The course supports students in developing a broad understanding of the evolution of digital technologies and their practical applications in construction, infrastructure planning, and geoinformatics.
Moreover, special emphasis is placed on information security, version control, and collaborative technologies, which are essential for effective teamwork and project management. The course also aims to prepare students to independently acquire knowledge about emerging technologies.
2.2 Tanulási eredmények
A tantárgy sikeres teljesítése utána a hallgató
A. Tudás
1. Understands information technologies relevant to surveyors and geoinformatics professionals.
2. Understands modern data acquisition methods and tools.
3. Is familiar with the principles of database management, data storage, and processing.
4. Understands the operation and application of Big Data and IoT systems.
5. Has a foundational understanding of artificial intelligence and machine learning.
6. Understands web-based geospatial data visualization technologies.
7. Understands the role of version control and collaborative tools.
8. Understands the operation of computing clusters and cloud computing.
9. Understands the applications of virtual and augmented reality in geoinformatics.
B. Képesség
1. Is able to select appropriate IT tools for solving engineering problems.
2. Is able to use complex IT systems to increase the efficiency of engineering work.
3. Is able to securely transmit and store collected data using network systems.
4. Is able to process and analyze data with the help of modern IT tools.
5. Is able to present results in a clear and visually effective manner.
6. Is able to communicate and publish findings in an accessible way for non-experts.
7. Is able to process professional topics and present them in the form of a presentation.
8. Is able to work in a team and effectively use collaborative tools.
C. Attitűd
1. Collaborates with instructors and fellow students to expand their knowledge.
2. Continuously develops their knowledge through ongoing learning.
3. Is open to exploring and applying new information technology tools.
4. Strives for accurate and error-free task completion.
5. Pays attention to the secure handling of data.
6. Develops their digital competencies and adapts to new technologies.
D. Önállóság és felelősség
1. Independently processes topics related to information technology.
2. Applies a systems-based approach in their thinking.
3. Takes responsibility for the accuracy and security of the data they handle.
4. Is capable of making independent decisions in selecting IT tools and methods.
2.3 Oktatási módszertan
Lectures, practical sessions, use of IT tools and techniques, and independently prepared presentations.
2.4 Részletes tárgyprogram
1. Computer fundamentals and components
2. Network communication
3. Security and encryption
4. Version control and collaboration tools
5. Cloud computing for civil engineers
6. The world of Big Data and IoT
7. Virtualization (virtual machines) – Linux and related systems
8. Computing clusters and botnets
9. Utilizing the computing power of graphics cards
10. Artificial intelligence – Deep learning, convolutional neural networks, image processing
11. WebGIS
12. BIM (Building Information Modeling)
13. Virtual and augmented reality
14. Course overview and summary
A félév közbeni munkaszüneti napok miatt a program csak tájékoztató jellegű, a pontos időpontokat a tárgy honlapján elérhető "Részletes féléves ütemterv" tartalmazza.
A félév közbeni munkaszüneti napok miatt a program csak tájékoztató jellegű, a pontos időpontokat a tárgy honlapján elérhető "Részletes féléves ütemterv" tartalmazza.
2.5 Tanulástámogató anyagok
Lecture slides available in the Educational Framework (Learning Management System - LMS).
2.6 Egyéb tudnivalók
0
2.7 Konzultációs lehetőségek
As specified on the department's website, or by prior arrangement via email: kapitany.kristof@emk.bme.hu
Jelen TAD az alábbi félévre érvényes:
2025/2026 semester II
II. Tárgykövetelmények
3. A tanulmányi teljesítmény ellenőrzése és értékelése
3.1 Általános szabályok
The learning outcomes defined in point 2.2 are assessed based on a written test, a homework assignment, and a presentation on a topic independently researched by the student. The minimum attendance requirement for students at contact hours is 70%.
3.2 Teljesítményértékelési módszerek
| Assessment Name (Type) | Code | Assessed Learning Outcomes |
|---|---|---|
| Midterm test (summative assessment) | MT1 | A.1-A.9; B.1-B.7 |
| Independent topic research and presentation | PR1 | B.4-B.8; C.1-C.6; D.1-D.4 |
| Home work | HW1 | A.1-A.9; B.1-B.7; C.1-C.6; D.1-D.4 |
A szorgalmi időszakban tartott értékelések pontos idejét, a házi feladatok ki- és beadási határidejét a "Részletes féléves ütemterv" tartalmazza, mely elérhető a tárgy honlapján.
3.3 Teljesítményértékelések részaránya a minősítésben
| Code | Weight |
|---|---|
| MT1 | 33% |
| PR1 | 34% |
| HW1 | 33% |
| Total | 100% |
3.4 Az aláírás megszerzésének feltétele, az aláírás érvényessége
No signature can be obtained for this course.
3.5 Érdemjegy megállapítása
| Grade | Score (P) |
|---|---|
| excellent (5) | 85≤P |
| good (4) | 75≤P<85% |
| satisfactory (3) | 65≤P<75% |
| pass (2) | 50≤P<65% |
| fail (1) | P<50% |
3.6 Javítás és pótlás
The in-class midterm test can be retaken once; in the case of a retake, the better of the two results will be taken into account. The homework assignment may be submitted late—subject to the payment of the fee specified in the regulations—by 23:59 on the last day of the retake period, in electronic form.
3.7 A tantárgy elvégzéséhez szükséges tanulmányi munka
| Activity | Hours/Semester |
|---|---|
| Participation in contact (in-person) classes | 14x3=42 |
| Preparation for practical sessions during the semester | 14x1=14 |
| Preparation for assessments | 30 |
| Completion of the homework assignment | 24 |
| Independent study of the assigned written materials | 40 |
3.8 A tárgykövetelmények érvényessége
2025. szeptember 1.
Jelen TAD az alábbi félévre érvényes:
2025/2026 semester II