Civil Engineering

DIGITAL METHODOLOGIES IN CONSTRUCTION

General Data

Type of credits: ECTS
Number of credits: 4.00
Status: Mandatory
Type: Course
Academic Year: 2º
Term: 1º
Languages: English, Portuguese
Available for Mobility Students: No
Restricted to alliance: No
Code: Sin codigo

Coordination

Description

Theory/Practice
4

Instructors

Diogo Rodrigo Ribeiro


 

Contents

1. Introduction to BIM and Related Technologies
1.1. Fundamentals of Parametric Modeling
1.2. Collaborative Platforms and Processes
2. Processes within BIM
2.1. BIM Uses
2.2. Coordination of Multidisciplinary Projects
2.3. OpenBIM ? Specification and Validation of Information Requirements
3. Policies within BIM
3.1. Adoption of BIM at National and International Levels
3.2. Policies, Standards, and Guidelines
4. Digitalization for Sustainability
4.1. Life Cycle Assessment
4.2. Technologies and Digital Models for Decarbonization
5. Automation and Robotics in Construction
5.1. Innovations in Automation and Robotics, Including Collaborative Robotics
5.2. Additive Manufacturing
5.3. Artificial Intelligence in Construction Process Automation
6. Digital Twins and Data Analytics
6.1. Sensors and IoT
6.2. Predictive Analytics Using Artificial Intelligence
6.3. Big Data


 

Learning Outcomes

This course aims to develop professional skills in the field of digital transformation applied to civil engineering. Students will acquire:
- Understanding of BIM processes and uses, with a focus on interoperability, OpenBIM, and multidisciplinary coordination.
- Ability to integrate and manage information from different design and construction specialties.
- Knowledge of national and international policies, standards, and guidelines for BIM adoption.
- Knowledge of digital tools for sustainability assessment, including life cycle analysis and decarbonization strategies.
- Competence in analyzing and applying automation and robotics technologies in construction processes.
- Ability to explore digital twins, sensors, and IoT in asset monitoring and decision support.
- Skills in using data analysis methodologies, artificial intelligence, and Big Data in construction projects.
The overall objective is to prepare students to understand, evaluate and apply digital methodologies throughout the lifecycle of built assets, promoting a critical, integrated and collaborative approach to the challenges of Construction 4.0.