Building Information Modeling & Digital Twins
| Title | Μοντελοποίηση Κατασκευαστικής Πληροφορίας & Ψηφιακά Δίδυμα / Building Information Modeling & Digital Twins |
| Code | ΤΜ9660 |
| Faculty | Engineering |
| School | Civil Engineering |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Winter/Spring |
| Common | No |
| Status | Active |
| Course ID | 600022088 |
Programme of Study: PPS TPM - EISAKTEOI APO 2022 KAI EXĪS
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| "EPISTĪMĪS KAI TECΗNOLOGIAS TŌN KATASKEUŌN" | Elective Courses | 9 | 5 | 4 |
| "YDRAULIKĪS KAI TECΗNIKĪS PERIVALLONTOS" | Elective Courses | 9 | 5 | 4 |
| "GEŌTECΗNIKĪS MĪCΗANIKĪS" | Elective Courses | 9 | 5 | 4 |
| "METAFORŌN KAI DIACΗEIRISĪS ERGŌN" | Elective Courses | 9 | 5 | 4 |
| Academic Year | 2026 – 2027 |
| Class Period | Winter |
| Faculty Instructors |
|
| Weekly Hours | 4 |
| Total Hours | 52 |
| Class ID | 600303899
|
Course Type 2021
Specialization / Direction
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600303899
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=9832
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
- English (Instruction, Examination)
Learning Outcomes
Students upon course competion should be capable to:
1. Understand the context and terms of Building Information Modeling (BIM) and Digital Twins.
2. Understand the requirements and specifications - at both general and specific level - to implement BIM techology in engineering problems.
3. Use at an adequate level specific BIM software solutions for the design and execution of engineering projects.
4. Contribute to BIM-based engineering projects management.
5. Use at a basic level applications of BIM models and augemented reality.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Work autonomously
- Work in teams
- Work in an international context
- Work in an interdisciplinary team
- Design and manage projects
Course Content (Syllabus)
Introduction to BIM technology: Concept and Terminology. Levels of Development (LOD). Interoperability and standardization (IFC). Global initiatives and development and implementation standards. Extensions (CIM, BrIM). Case studies.
Working with ΒΙΜ software: Presentation and Comparison of software solutions. Creation of 4D and 5D models. Introduction and processing of data, graphs development, queries, data collection, and information extraction. Extensions to virtual and augmented reality (VR & AR). Digital Twins: Constructability, Life cycle, Twins types, Ontologies, Comparison to simulations. Case studies.
Construction design and execution with BIM technology: Project team building (formation – communication – virtual teams). Stakeholders expectation. Team-work assignment on BIM-based engineering projects management: BIM execution plan. BIM-based project management. Quality management and control. Information management.
Educational Material Types
- Notes
- Slide presentations
- Multimedia
- Interactive excersises
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
- Use of ICT in Communication with Students
- Use of ICT in Student Assessment
Description
Full exploitation of the Moodle course management platform and the "faculty.auth.gr" evaluation platform. Use of distance-learning applications. Use of online educational programs. Use of software (REVIT by AUTODESK).
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 13 | 0.5 | ✓ | ||
| Seminars | 6 | 0.2 | ✓ | ✓ | |
| Laboratory Work | 39 | 1.4 | ✓ | ✓ | |
| Reading Assigment | 16 | 0.6 | ✓ | ✓ | |
| Interactive Teaching in Information Center | 13 | 0.5 | ✓ | ✓ | |
| Project | 25 | 0.9 | ✓ | ✓ | |
| Total | 112 | 4 |
Student Assessment
Description
Laboratory work grades
Project grades
Student Assessment methods
- Written Exam with Multiple Choice Questions (Summative)
- Written Exam with Short Answer Questions (Summative)
- Written Exam with Extended Answer Questions (Summative)
- Written Assignment (Formative, Summative)
- Written Exam with Problem Solving (Summative)
Bibliography
Course Bibliography (Eudoxus)
Sacks, R. (2018). BIM Handbook, 3rd edition, HEAL-LINK Wiley UBCM ebooks
Additional bibliography for study
Ξενίδης, Ι. (2019). Μοντελοποίηση Κτιριακής Πληροφορίας. 1η Έκδοση, Θεσσαλονίκη: Αυτοέκδοση.
Last Update
25-08-2025
