Subject Datasheet
Completion requirements
Subject Datasheet
Download PDFI. Subject Specification
1. Basic Data
1.1 Title
Civil Engineering Automation, Modelling
1.2 Code
BMEEOHSMSFCI01-00
1.3 Type
Module with associated contact hours
1.4 Contact hours
| Type | Hours/week / (days) |
| Lecture | 1 |
| Seminar | 2 |
1.5 Evaluation
Exam
1.6 Credits
5
1.7 Coordinator
| name | Dr. Joó Attila László |
| academic rank | Associate professor |
| joo.attila@emk.bme.hu |
1.8 Department
Department of Structural Engineering
1.9 Website
1.10 Language of instruction
hungarian
1.11 Curriculum requirements
Compulsory in the Construction Information Technology Engineering (MSc) programme
1.12 Prerequisites
1.13 Effective date
1 September 2025
2. Objectives and learning outcomes
2.1 Objectives
The course's primary aim is to teach the application possibilities in the field of structural engineering of the algorithmizing and programming competencies learned in the first semester in digitization courses in the Civil Engineering Information Technology MSc program. During lectures, students will learn about domestic and international automation possibilites on various branches of the construction industry, like FEM-based design, detailing of steel structures. detailing of reinforced concrete design. All of the excercises are structural construction-related structural application examples that can increase the efficiency of various construction companies and projects. It is also the aim of the course for the students to learn how to work in groups and how tho present their results.
2.2 Learning outcomes
Upon successful completion of this subject, the student:
A. Knowledge
1. Has fundamental knowledge in the areas of algorithmic procedures.
2. Has fundamental knowledge in various programming languages and low code solutions.
3. Has fundamental knowledge in various constructional modeling software.
4. Has fundamental knowledge in various FEM-based design methodologies and tools.
5. Awareness of parametric design principles and their applications in structural engineering.
6. Knowledge of group work dynamics and effective presentation techniques.
7. Comprehension of how automation can increase efficiency in construction companies and projects.
8. Knows the connection possibilities between various programming languages.
B. Skills
1. Recognizes algorithmic possibilities in the field of strctural engineering.
2. Can develop efficiency-enhancing procedures.
3. Able to generalize and extend existing software processes for broader application.
4. Ability to cooperate with other engineers and work in group.
5. Ability to disseminate the engineering effort in presentation.
6. Professionally communicates using programming technical terms.
7. Selects the best software for particular automation procedures.
8. Critical thinking and problem-solving abilities specific to structural engineering automation.
C. Attitudes
1. Committed to efficiency gains, carries out work processes as efficiently as possible.
2. Positive approach toward teamwork and collaborative problem-solving.
3. Strives for continuous self-education.
4. Respect principles of sustainability and use automation techniques for environmental protection reasons.
D. Autonomy and Responsibility
1. Independently looking for development opportunities.
2. Applies research to work with little supervision.
3. Independence in applying learned software and programming skills to structural engineering challenges.
4. Accountability for contributing to the group presentations and project outcomes.
2.3 Methods
The Mirrored Classroom and Learning by doing methods plays an important role in education. The knowledge of the subject helps to synthesise knowledge from previous subjects, and therefore the subject also uses the Research Based Learning method.
2.4 Course outline
1. Course introduction. Tekla introduction.
2. Tekla automation example. Own work and compulsory consultation of HW 1.
3. Revit introduction. Revit automation example.
4. Own work and compulsory consultation of HW 2.
5. FEM-Design FEM software introduction. FEM-Design software C Sharp automation example.
6. Own work and compulsory consultation of HW 3.
7. Parametric design introduction. Parametric design automation example.
8. Own work and compulsory consultation of HW 4.
9. Preparation for presentations.
10. Group presentations of Tekla software automation HW 1.
11. Group presentations of Revit automation HW 2.
12. Group presentations of FEM-Design software automation HW 3.
13. Group presentations of parametric design automation HW 4.
14. Extended deadline for presentations.
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.
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
1. Miroslaw J. Skibniewski (Editor-in-Chief): Automation in Construction, An International Research
Journal, Elsevier (www.eisz.hu)
Recommended literature:
2. Daniotti, Bruno (editor), Gianinetto, Marco (editor), Della Torre, Stefano (editor): Digital
Transformation of the Design, Construction and Management Processes of the Built Environment,
Springer Open, (2020), ISBN: 978-3-030-33570-0
2.6 Other information
0
2.7 Consultation
Consultation take place during the course.
This Subject Datasheet is valid for:
2025/2026 semester II
II. Subject requirements
Assessment and evaluation of the learning outcomes
3.1 General rules
The assessment of the learning outcomes is specified in clause 2. above, and the continuous evaluation of student
performance occurs via homework assignments, class questions, consultations, presentations and oral exam.
3.2 Assessment methods
| Assessment Name (Type) | Code | Assessed Learning Outcomes |
|---|---|---|
| 1. homework | HW 1 | A1. A2. A3. A6. B1-5, C1-4, D1-4 |
| 2. homework | HW 2 | A1. A2. A4. A6. B1-5, C1-4, D1-4 |
| 3. homework | HW 3 | A1. A2. A5. A6, B1-5, C1-4, D1-4 |
| 4. homework | HW 4 | A1. A2. A5. A6, B1-5, C1-4, D1-4 |
| Exam | E | A7. A8. B6. B7. B8. |
The dates of deadlines of assignments/homework can be found in the detailed course schedule on the subject’s website.
3.3 Evaluation system
| Code | Weight |
|---|---|
| HW 1 | 15% |
| HW 2 | 15% |
| HW 3 | 15% |
| HW 4 | 15% |
| E | 40% |
| Total | 100% |
3.4 Requirements and validity of signature
Minimum 70% presence on lectures and consultations, successfully finish all the HW's.
3.5 Grading system
| Grade | Score (P) |
|---|---|
| excellent (5) | 90≤P |
| good (4) | 75≤P<90% |
| satisfactory (3) | 65≤P<75% |
| pass (2) | 50≤P<65% |
| fail (1) | P<50% |
3.6 Retake and repeat
The homeworks can be re-submitted one week after the original deadline by paying the related fees. The
deadlines for the homeworks can be found on the homepage of the subject.
3.7 Estimated workload
| Activity | Hours/Semester |
|---|---|
| contact hours | 42 |
| self-learning | 24 |
| homework | 60 |
| preparation for presentations | 24 |
| Total |
3.8 Effective date
1 September 2025
This Subject Datasheet is valid for:
2025/2026 semester II