School of Architecture and Design \ Architecture
Course Credit
ECTS Credit
Course Type
Instructional Language
Programs that can take the course
This course introduces students to Building Information Modelling (BIM) concepts and practical skills using Autodesk Revit, with a focus on integrating basic artificial intelligence (AI) applications relevant to BIM workflows. Students will learn to create, manage, and analyse digital building models, and explore how AI can enhance design, automation, and content management in BIM environments.
Textbook and / or References
Lewis, E., Chamel, O., Mohsenin, M., Ots, E., & White, E. (2018). Building Information Modeling. , 41-42..
Di Gaetano, F., Cascone, S., & Caponetto, R. (2023). Integrating BIM Processes with LEED Certification: A Comprehensive Framework for Sustainable Building Design. Buildings. https://doi.org/10.3390/buildings13102642.,
Borrmann, André, et al. Building Information Modeling: Technology Foundations and Industry Practice. 1st ed. 2018.
Building information modeling : BIM in current and future practice/ Karen M. Kensek, Douglas E. Noble. (n.d.). Wiley.
Erika Epstein. (2012). Building Information Modeling: A Guide to Implementation. Artech.
Liao, W., Lu, X., Fei, Y., Gu, Y., & Huang, Y. (2024). Generative AI design for building structures. Automation in Construction. https://doi.org/10.1016/j.autcon.2023.105187.
Fernandes, D., Garg, S., Nikkel, M., & Guven, G. (2024). A GPT-Powered Assistant for Real-Time Interaction with Building Information Models. Buildings. https://doi.org/10.3390/buildings14082499.
Rafiq, M., & Rustell, M. (2014). Building Information Modeling Steered by Evolutionary Computing. J. Comput. Civ. Eng., 28. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000295.
To make students discover and capable of using BIM technologies and Revit in particular; developing essential skills to create, manage, and analyse digital building models, and explore how AI can enhance design, automation, and content management in BIM environments.
1. Explains and discusses integrated design with its parameters.
2. Explains algorithmic and parametric thinking and production.
3. Defines Building Information Modelling and workflows.
4. Knows and discusses Artificial Intelligence support and applications in Building Information Modelling and REVIT as a platform.
5. Can produce a small-scale building semantically and geometrically with AI-supported workflows.
Week 1: Building Information Modelling, Introduction to the role and benefits of artificial intelligence in design, implementation, project management and BIM workflows
Week 2: Fundamentals of algorithmic and parametric thinking and production, integrated approach
Week 3: BIM basic concepts, workflows
Week 4: Exploration of AI platforms and tools that can integrate with Revit and other BIM software
Week 5: Introduction to REVIT, REVIT workflows
Week 6: Exploration of the interface, "cradle-to-cradle" approach
Week 7: "Family" concept, parametric, generic, adaptive "family" and applications, semantic and geometric data
Week 8: AI support in REVIT workflows
Week 9: Practice + critique
Week 10: Practice + critique
Week 11: Practice + critique
Week 12: Practice + critique
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