Subject Datasheet
Download PDFI. Subject Specification
1. Basic Data
1.1 Title
Civil Engineering Informatics
1.2 Code
BMEEOFTAT42
1.3 Type
Module with associated contact hours
1.4 Contact hours
| Type | Hours/week / (days) |
| Lecture | 2 |
| Lab | 2 |
1.5 Evaluation
Midterm grade
1.6 Credits
5
1.7 Coordinator
| name | Dr. Árpád BARSI |
| academic rank | Professor |
| barsi.arpad@emk.bme.hu |
1.8 Department
Department of Photogrammetry and Geoinformatics
1.9 Website
1.10 Language of instruction
hungarian and english
1.11 Curriculum requirements
Compulsory in the Civil Engineering (BSc) programme
1.12 Prerequisites
Strong prerequisites:
- Civil Engineering CAD (BMEEOFTAT41)
1.13 Effective date
24 January 2024
2. Objectives and learning outcomes
2.1 Objectives
The aim of the course is to introduce the IT tools that help the work of civil engineers. The aim is to identify the IT problems that arise during the civil engineering practice, to manage their formulation and solution in an engineering environment suitable for modern integrated calculations.
2.2 Learning outcomes
Upon successful completion of this subject, the student:
A. Knowledge
- knows the mathematical methods of processing measurement data,
- knows the basic tools and methods of algorithmization,
- knows the tasks of IT system design,
- is familiar with the elementary toolbox of engineering presentation graphics.
B. Skills
- is able to automate the solution of basic engineering tasks using algorithms,
- able to process simple measurement data using algorithms,
- is able to properly document the calculation process of the task solution,
- able to predict future events based on time series,
- able to automate the solution of equations and systems of equations.
C. Attitudes
- strives for a error-free solution.
D. Autonomy and Responsibility
- accepts substantiated critical remarks,
- uses a systematic approach to solving tasks,
- checks and validates his work in all cases.
2.3 Methods
Lectures, computer exercises, software usage skills, algorithmization techniques.
2.4 Course outline
| Week | Topics of lectures and/or exercise classes |
| 1. | Measurement processing with IT tools, getting acquainted with the program environment |
| 2. | Basics of algorithmization, preparation of calculation documentation |
| 3. | Data processing, time series management, simple model fitting |
| 4. | Control structures, user interaction |
| 5. | Control structures with examples |
| 6. | Control structures with examples |
| 7. | Engineering problem solving with algorithms, partial summary |
| 8. | Description of data types |
| 9. | Solving functions and informatics, equations and systems of equations |
| 10. | Function analysis, optimization, regression |
| 11. | Multivariate optimization, definition of functions |
| 12. | Computer graphics, definition of functions |
| 13. | Geometric transformations, modularization, recursion |
| 14. | Partial summary |
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
Downloadable materials:
- Electronic lecture notes
- Examples of each topic in the educational framework
Study room:
The department provides a "study room" option outside of class time to increase student success, which is a collaborative approach to solving problems in the lab under faculty guidance.
2.6 Other information
You can use your own laptop during the practice courses with the permission of the instructor.
2.7 Consultation
Consultation dates: as specified on the department's website or in advance by e-mail
This Subject Datasheet is valid for:
2023/2024 semester II
II. Subject requirements
Assessment and evaluation of the learning outcomes
3.1 General rules
The assessment of the learning outcomes formulated in point 2.2 is based on two theoretical tests, three practical test and a midterm test.
3.2 Assessment methods
| Evaluation form | Abbreviation | Assessed learning outcomes |
| First theoretical test | TT1 | A.1-A.3; B.2; C.1; D.1 |
| Second theoretical test | TT2 | A.3-A.4; B.1; C.1; D.1-D.3 |
| Practical test 1 | PT1 | A.1-A.2; B.1-B.5; C.1; D.1-D.3 |
| Practical test 2 | PT2 | A.1-A.2; B.1-B.5; C.1; D.1-D.3 |
| Practical test 3 | PT3 | A.1-A.2; B.1-B.5; C.1; D.1-D.3 |
| Midterm test | MT | A.1-A.2; B.1-B.3; C.1; D.1, D.3 |
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 |
| TT1 - TT2 | 50% |
| PT1-PT2-PT3 | 20% |
| MT | 30% |
| Sum | 100% |
3.4 Requirements and validity of signature
No signature can be obtained on the subject.
3.5 Grading system
| Grade | Points (P) |
| excellent (5) | 85<=P |
| good (4) | 75<=P<85 |
| satisfactory (3) | 65<=P<75 |
| passed (2) | 50<=P<65 |
| failed (1) | P<50 |
The semester is unsuccessful if the total score does not reach 50.00 points.
3.6 Retake and repeat
The retakes of theoretical and practical tests takes place during the replacement week.
3.7 Estimated workload
| Activity | Hours/semester |
| participation in contact classes | 14×4=56 |
| semester preparation for practice courses | 14×2=28 |
| preparation for tests | 12+12+12+30=66 |
| Sum | 150 |
3.8 Effective date
24 January 2024
This Subject Datasheet is valid for:
2023/2024 semester II