Luís Miguel Torres Curado

The general objectives of the curricular unit are guaranteed through the following Learning Outcomes:
OA1 - Provide a general understanding of the built environment, including its components, processes and systems.
OA2 - Prepare students for work in a variety of fields related to the built environment, such as architecture, engineering and urban planning.
OA3 - Develop skills to assess the environmental impact of construction projects and develop sustainable solutions.
OA4 - To confer proficiency in English in areas relevant to the construction industry

The syllabus of this course goes as follows:
CP1 - The extent of human impact on the planet - from landscape to building
CP2 - Construction processes: planning, design, construction and operation. Construction logistics chain - Metabolism of materials and energy
CP3 - Markets and types of contracts
CP4 - How construction is financed
CP5 - Sustainable construction - Circular economy

There are two assessment methodologies:

1. Assessment throughout the Semester:
- Practical work with discussions and visit reports (60%)
- Individual written test, on the date of the 1st Exam (40%)
To pass the Assessment throughout the Semester, students must not score below 9.5 in any of the assessment components.
A minimum attendance of at least 2/3 of the classes is required.

2. Written Exam

A supplementary oral assessment may be carried out in addition to any assessment method or to validate the final grade.

Sébastien França Roux

OA1 - BIM dimensions and uses and appropriate modeling practices.
OA2 - To build BIM models of Architectural and Structural specialties on conventional reinforced concrete and steel frame buildings, applying modeling rules appropriate to the uses.
OA3 - To be able to work colaboratively

The course contents (CP) are:
CP1. CP1. History and fundamentals of BIM methodology.
CP2. Modeling of reinforced concrete structures.
CP3. Modeling architectural elements: walls, ceilings, spans, secondary elements.
CP4. Production of bill of quantities, drawings and annotations.
CP5. Collaborative platforms and work.

Assessment is continuous and takes place in class, where the teacher checks weekly exercises, site visit and guest lectures' reports and class participation (50%). There is also a group project developed throughout the semester through collaborative methodology and carried out in conjunction with the Construction Systems and Processes I course (50%). The final discussion of the project, which takes place in the last week of classes, and participation in site visits are compulsory.
Continuous assessment requires, also, a minimum attendance of 2/3 of the lessons actually taught.
Given the practical nature and assessment methodology of the course, there is no final exam.

Maria de Fátima Alves de Pina

Paulo Henrique Contente Rocha

LG1. Review the concept of function and its properties. Types of functions and operations with functions.
LG2. Graphics of elementar functions and function transformations.
LG3. Limits, indeterminations and graphic interpretation. Continuity.
LG4. Derivatives and its applications. Graphic interpretation.
LG5. Linear approximations and higher order approximations.
LG6. Derivative of composed functions and inverse functions.
LG7. Calculations with matrices and vectors.
LG8. Calculating detrminants and applicating its proprieties.
LG9. Knowing the concept of linear transformation and representation with matrices.
LG10. Calculating eigenvalues and eigenvectors.

PC1. Function. Elementar functions, Different type of functions. Operations with functions. Logaritmic and trigonometric functions.
PC2. Limits of a function at a point, Continuity at a point. Assimptotic lines.
PC3. Derivative of a function at a point. Derivative rules. Optimization problems.
PC4. Derivative of composed functions – chain rule. Derivative of the inverse function.
PC5. Linear approximation and Taylor approximation.
PC6. Solving linear equation systems. Matrices and operations. Inverting matrices. Determinants and properties. Linear transformations.
PC7. Real vector space. Inner product. Parallelism and perpendicularity.
PC8. Eigenvalues, eigenvectores and matrix diagonalization.

Passing with a grade not lower than 10 points in one of the following modalities:
- Assessment throughout the Semester:
* 7 assignments/mini-tests conducted during classes. The best 5 are counted, each with a weight of 5% (total of 25%).
* autonomous work, with a weight of 5%.
* applied mathematics project, with a weight of 10%.
* Final test to be conducted on the date of the first exam period, with a weight of 60% and a minimum grade of 8 points
or
- Examination Assessment (100%).

There is the possibility of conducting oral examinations.
Grades above 17 points must be defended orally.

José Ricardo Pontes Resende

The general objectives are realized through the following learning objectives:
OA1. To relate the origin, chemical composição and microstructure of building materials, their physical, mechanical and hygrothermal properties and their functions.
OA2. Understand and formulate the functional requirements of materials in construction.
OA3. Know the origin and manufacturing processes of materials, their life cycle and impact on the environment.
OA4. Know the different classes of materials, their properties, applications and limitations.

The syllabus is divided in the following contents:
CP1. Origin of matter and fundamental laws.
CP2. Introduction to Materials Science.
CP3. Functional requirements and application of materials in construction.
CP4. The main building materials and their application: stone, earth, wood, metals, ceramics, hydraulic and non-hydraulic binders, glass, bituminous materials, polymer-plastics, advanced materials.

There are two assessment methods:
1. Assessment throughout the semester:
- Group presentation of a material (25%)
- Construction and Testing of Spaghetti Bridges, in groups (25%)
- Individual test (50%)

A minimum grade of 9.5 is required in each assessment component throughout the semester. A minimum attendance of at least 2/3 of the classes is required.

2. Assessment by Exam
Students who did not pass the assessment throughout the semester or wish to improve their grade may take a written exam.

A supplementary oral assessment may be carried out in addition to any assessment method or to validate the final grade.

Paulo Henrique Contente Rocha

At the end of the course, students are expected to:
LO1: Acquire the essential concepts of geometry and statistics that support the application of digital technologies in the construction and infrastructure sector.
LO2: Develop logical reasoning skills and clarity of mathematical language and scientific statistics.
LO3: Apply knowledge through numerical and graphical representations to facilitate the understanding of abstract concepts and their application in real-life situations.
LO4: Solve geometric and statistical problems, and other practical activities, on topics related to the construction domain.
LO5: Use geometric and statistical tools to interpret phenomena and make decisions.

S1: Points and vectors in the plane and in space.
S2: Distances between points and from a point to a line. Plane sections and spherical surfaces. Measurements.
S3: Vectors and operations. Inner product. Properties of vectors. Parallelism and perpendicularity of vectors. Relative positions of lines and planes.
S4: Principal vector and equation of the line.
S5: Vector product. Vector normal to a plane and equations of the plane.
S6:  Parameterisation of curves in the plane and in space. Intersection of curves. Polar coordinates.
S7:  Conic sections (parabolas, hyperbolas, circles and ellipses).
S8:  Quantitative and qualitative variables in statistics. Data grouped into classes.
S9:  Relative and absolute frequencies. Location measures. Dispersion parameters. Correlation coefficients.
S10:  Basic concepts of inferential statistics.

Pass with a mark of not less than 10 (scale 1-20) in one of the following ways:
- Assessment throughout the semester: An assessment test (30%) carried out throughout the semester + weekly exercises (10%) + final test (TF) carried out on the date of the 1st term (60%).
The first assessment test has a minimum mark of 7.0.
The final test (FT) has a minimum mark of 7.0.

In order for the student to opt for assessment throughout the semester, a minimum attendance of no less than 2/3 of the classes is required.

or

- Assessment by Exam (100%).

Note: For this Course Unit, students must consult the Iscte Academic Code of Conduct, available on the institutional platforms, to ensure compliance with the established ethical and behavioral standards.

Manuel João da Silva Oliveira

At the end of this UC, the student should be able to:
OA.1 Define requirements for a technology project
OA.2. Elaborate the schedule according to the proposed objectives for the project
OA.3. Develop the project according to requirements
OA.4. Develop test plan
OA.5. Test the project (partial and integrated)
OA.6. make the adaptations
OA.7. Techniques for presenting technological projects
OA.8. Preparation of demonstration of its features
OA9: Standards for the preparation of technical reports

I. Introduction to technological innovation along the lines of Europe
II. Planning a technological project and its phases
III. Essential aspects for the development of a project
IV. Definition of material resources
V. Budget of a project
VI. Partial and joint Test Plan
VII. Presentation of a technological project
VIII. Technological project demonstration
IX. Preparation of Technical Report

Periodic grading system:
- Group project: first presentation: 30%; second presentation and exibithion: 40%; final report: 30%. The presentations, demonstrations and defence are in group.

Leonor Domingos

Filipa Correia Mendonça

Sofia Maria Vieira Assis

The macro Learning Outcomes are:
LO1 - Create and improve the capacities of communication and visual comprehension;
LO2 - Improving spacial perception and idea generation;
LO3 - Integration of new technologies;
LO4 - Instigate the cooperation, interdisciplinary and transdisciplinary learning;
LO5 - Interaction between Design and Fabrication

The Syllabus contents are:
S1 - Foundations of drawing and techniques to represent objects;
S2 - Foundations of perspective and large scale drawing;
S3 - Field sketching and space representation;
S4 - Introduction to 3D modelling with Rhinoceros;
S5 - Geometric modelling with Rhinoceros;
S6 - Foundations of 3D printing and working with printers;
S7 - Concept and object development/Final project

Due to the practical nature of the CU, there is only assessment throughout the semester and no exam.

In the initial phase of the semester, which includes manual drawing, drawings made in class and field drawings begun in class and improved or finalised outside of class will be assessed, with a weight of 30%.

There will be a test with a 3D modelling exercise in Rhinoceros, worth 30% of the grade.

There will be a third assessment stage, in which students must present the project, as well as the final model created in Rhinoceros with its 3D printout, worth 40% of the grade.

Students may not score less than 8.5 in any assessment element. A supplementary oral assessment may be carried out in addition to any assessment method or to validate the final grade.
A minimum attendance of no less than 2/3 of classes is required.
There is no exam.

Leonor Domingos

Building Systems and Processes I and Building Information Modelling I take place in parallel, and learning is enhanced between the two courses, since the construction systems and processes addressed in Construction Systems and Processes are modelled in Building Information Modelling I.
OA1. Describe and explain the constitution and construction aspects of building systems in reinforced concrete and distinguish and describe the secondary systems (floors, walls and roofs)
OA2. To know the activities of the structural project and hygrothermal and building comfort calculus in order to support the professionals responsible for those processes through the development of digital work processes, promoting interoperability.

The Program includes the following contents:
CP1. Building construction systems and sustainability.
CP2. Floor systems: Constitution and preliminary design of concrete slabs and lightweight concrete slabs; Flooring finishes.
CP3. Wall systems: Non-structural external walls; Non-structural internal walls; Coatings and claddings for externaland internal walls.
CP4. Roof systems: Constitution and pitched roof tiling; Constitution and roofing of horizontal roofs.
CP5. Principles of computer aided structural and hygrothermal simulation.

Due to its practical and project-based nature, the assessment takes place throughout the semester and consists of two components:
1 - Test (25%).
2 - Class participation, evaluated through assiduity and delivery of the homework (15%).
2 - An individual project developed throughout the semester using a collaborative methodology, carried out in conjunction with the course Building Information Modeling I (60%). This project includes a final discussion, which takes place in the last week of classes.
To pass, the student must not have a grade lower than 8.0 in any of the assessment components.
A minimum attendance of at least 2/3 of the classes is required.
Participation in site visits is mandatory.
There is no exam.

Manuel Abrantes

LO1: Understand the main theories, concepts, and issues related to Work, Organizations, and Technology;
LO2: Understand the main processes of the digital transition directly related to the world of work and its organizations;
LO3: Analyze the multiple social, economic, and political implications brought by the digital transition;
LO4: Explore cases, strategies, and application methods to understand the real impacts of the digital transition on professions, companies, and organizations.

PC1. Is work different today than it was in the past?
PC2. What rights and duties in the world of work?
PC3. How has theory looked at technology?
PC4. What digital technologies are changing work?
PC5. What future for work?
PC6. Is artificial intelligence really that intelligent?
PC7. Where does precariousness begin and end?
PC8. Who is to blame when the machine makes a mistake?
PC9. Do digital technologies change the relationship between unions and companies?
PC10. What digital transformation in Portugal?

Continuous assessment throughout the semester:
Each student will conduct a Flipped Classroom session, which represents 20% of the final grade.

Individual work accounting for 35% of the final grade.

Group work accounting for a total of 35% of the final grade (10% for the group presentation and 25% for the written work).

Attendance and participation in classes represent 10% of the final grade. A minimum attendance of no less than 2/3 of the classes is required.

Each assessment element must have a minimum grade of 8. The final average of the various elements must be equal to or greater than 9.5.

Examination evaluation (1st Period if chosen by the student, 2nd Period, and Special Period): in-person exam representing 100% of the final grade with a minimum grade of 9.5.

LO1. Acquiring knowledge about the fundamentals and stages of the Design Thinking process
LO2. Develop skills such as critical thinking, collaboration, empathy and creativity.
LO3. To apply Design Thinking in problem solving in several areas, promoting innovation and continuous improvement.

S1. Introduction to Design Thinking and Stage 1: Empathy (3h)
S2. Steps 2 and 3: Problem Definition and Ideation (3h)
S3. Step 4: Prototyping (3h)
S4. Step 5: Testing and application of Design Thinking in different areas (3h)

Semester-long Assessment Mode:

• Class participation (20%): Evaluates students' presence, involvement, and contribution in class discussions and activities.

• Individual work (40%): Students will develop an individual project applying Design Thinking to solve a specific problem. They will be evaluated on the application of the stages of Design Thinking, the quality of the proposed solutions, and creativity.

• Group work (40%): Students will form groups to develop a joint project, applying Design Thinking to solve a real challenge. Evaluation will be based on the application of the steps of Design Thinking, the quality of the solutions, and collaboration among group members.

To complete the course in the Semester-long Assessment mode, the student must attend at least 75% of the classes and must not score less than 7 marks in any of the assessment components. The strong focus on learning through practical and project activities means that this course does not include a final assessment mode.

OA1 - To be trained in the ethical and responsible use of Generative Artificial Intelligence (AI) tools
OA2 - To acquire critical analysis skills on the results produced by Generative AI tools
OA3 - To be able to identify and develop creative solutions in solving ethically and socially complex problems with Generative AI
OA4 - To be able to apply Generative AI tools in the preparation of academic work, in particular in the application of academic writing and in the use of normative citation and referencing procedures.

CP1 - Introduction to AI and Generative AI:
* Theoretical exposition on the historical context, evolution and important concepts about Artificial Intelligence (AI) and Generative AI
CP2 - Prompt Engineering:
* Explanation of good practices for interacting with generative language models
CP3 - Generative AI Tools:
* Exploration of multiple Generative AI tools, based on text, images and videos
CP4 - Formation of argumentative content:
* Development of creative solutions using argumentation practices and Generative AI tools
CP5 - Rules for scientific writing:
* Application of citation and referencing standards (APA standards) in academic writing

The Semester-Long Assessment includes the following activities:
1. Individual Activities (50%)
1.1 Prompt Simulations with AI Tools in an Academic Context (20%):
* Description: The student must create a clear/justified, well-structured prompt, according to the script proposed by the instructor in class.
* Assessment: (submit in Moodle), communication and teamwork skills based on the quality of the prompt simulations performed.
1.2 Oral Defense - Group Presentation - 5 min. Discussion - 5 min. (30%):
* Description: Each student must present their contributions to the work completed to the class.
* Assessment: After the student's presentation, there will be a question-and-answer session.
2. Group Activities (50%) [students are organized into groups of up to 5 students, randomly selected], which include:
* Group presentations, reviews, edits, and validations of AI-generated content. The assessment (to be submitted in Moodle) includes gathering relevant information, assessing the clarity and innovative nature of the use of structured prompts.
* Development of strategies for reviewing, editing, and validating AI-generated content. Students will be asked to critically evaluate and reflect on the ethical challenges of integrating AI into an academic environment. The assessment (to be submitted in Moodle) will consist of correcting the work based on the accuracy and quality of the reviews and edits, as well as student participation in providing feedback to their peers.
* Final Project Presentation Simulations, where groups choose a topic and create a fictitious project following the structure of a technical report or scientific text. They present their project in class (5 min.) and discuss the topic (5 min.). The assessment (to be submitted in Moodle) will consider the organization, content, correct use of the structure, and procedures of the academic work.

General Considerations:
Feedback on student performance in each activity will be provided during the Semester Assessment.
To be assessed throughout the semester, students must attend 80% of classes and achieve a score of at least 7 points in each assessment.
If there are questions about participation in the activities, the instructor may request an oral discussion.
The group must ensure that at least one computer is available for each group to allow for classroom activities.
There will be no final exam assessment; passing will be determined by the weighted average of the assessments throughout the semester. Assessments in the second and special assessment periods will have an alternative assessment method, so any students wishing to take the assessment in these assessment periods should contact their instructor in advance to learn about the assessment procedure.

LO1. Develop specific oral communication skills for public presentations.
LO2. Know and identify strategies for effective use of the vocal apparatus.
LO3. Identify and improve body expression. LO4. Learn performance techniques.
The learning objectives will be achieved through practical and reflective activities, supported by an active and participatory teaching method that emphasizes experiential learning. The knowledge acquired involves both theatrical theory and specific oral communication techniques. Students will learn about the fundamentals of vocal expression, character interpretation and improvisation, adapting this knowledge to the context of public performances.

PC1. Preparing for a presentation.
PC2. Non-verbal communication techniques.
PC3. Voice and body communication, audience involvement. PC4. Presentation practice and feedback. The learning objectives will be achieved through practical and reflective activities, supported by the active and participatory teaching method which emphasizes experiential learning. Classes will consist of activities such as: Theatrical experiences and group discussions; Practical activities; Presentations and exhibitions of autonomous work; Individual reflection.

The assessment of the Public Presentations with Theatrical Techniques course aims to gauge the development of students' skills in essential aspects of public presentations. The assessment structure includes activities covering different aspects of the experiential learning process involving both theatrical techniques and specific communication techniques.
Assessment throughout the semester includes activities covering different aspects of the process of preparing a public presentation, including group and individual work activities:
Group activities (50%) [students are challenged to perform in groups of up to 5 elements, made up randomly according to each activity proposal].
1-Practical Presentations: Students will be assessed on the basis of their public presentations throughout the semester:
Description: each group receives a presentation proposal and must identify the elements of the activity and act in accordance with the objective.
The results of their work are presented in class to their colleagues (Time/group: presentation - 5 to 10 min.; reflection - 5 min.). Assessment (oral): based on active participation, organization of ideas and objectivity in communication, vocal and body expression, the use of theatrical techniques and performance. Presentations may be individual or group, depending on the proposed activities.
Individual activities (50%)
1-Exercises and Written Assignments (Autonomous Work):
Description: In addition to the practical presentations, students will be asked to carry out exercises and written tasks related to the content covered in each class. These activities include reflecting on techniques learned, creating a vision board, analyzing academic objectives, student self-assessment throughout the semester, answering theoretical questions and writing presentation scripts.
Assessment: (Oral component and written content), organization, content, correct use of the structure and procedures of the autonomous work proposed in each class, ability to answer questions posed by colleagues and the teacher. Communication skills and the quality of written work will be assessed, with a focus on clarity of presentation. These activities will help to gauge conceptual understanding of the content taught.
There will be no assessment by final exam, and approval will be determined by the weighted average of the assessments throughout the semester.
General considerations: in the assessment, students will be given feedback on their performance in each activity.
To complete the course in this mode, the student must attend 80% of the classes. The student must have more than 7 (seven) points in each of the assessments to be able to remain in evaluation in the course of the semester.

Sébastien França Roux

The general objectives are realized through the following learning outcomes:

OA1. Modelling of terrain and infrastructures: roads, viaducts, special structures.
OA2. Modelling of utilities, systems, and equipment in buildings.
OA3. Work management and interoperability.

The Course Contents are:

CP1. Modelling of terrain, earthworks, and retaining structures.
CP2. Creation and management of families.
CP3. Modelling of roads and special constructions.
CP4. Modelling of equipment and systems in buildings: ventilation and air conditioning, water supply, gas and energy, drainage, etc.
CP5. Customization of modeling software and management of templates.

Due to project-based teaching, assessment takes place throughout the semester and consists of:
- individual exercises set in class and completed independently, reports on visits and class participation (40%).
- individual project developed throughout the semester using a collaborative methodology, with a final discussion and carried out in conjunction with the Construction Systems and Processes II course (60%).
A supplementary oral assessment may be carried out in addition to any assessment method or to validate the final grade.
A minimum grade of 9.5 is required in all assessment elements.
Participation in site visits is mandatory.
A minimum attendance of no less than 2/3 of classes is required.
There is no final exam.

José Ricardo Pontes Resende

Construction Systems and Processes II runs concurrently with BIM Modeling II, with learning enhanced between the two courses, as the construction systems and processes covered in Construction Systems and Processes II are represented in Building Information Modeling II.
The specific learning objectives are as follows:
LO1. Understand and design high-rise buildings in an integrated manner in terms of space, structure, and construction systems, partitions, facades, networks, including seismic safety, fire safety, accessibility, systems for hygrothermal comfort and indoor air quality, and other building networks.
LO2. Know the methods of excavation and backfilling and earth retention systems.
LO3. Know infrastructure works, functional and structural operation, and construction methods.

The Course Program includes the following contents:
CP1. Design of large buildings with concrete, steel, wood, and mixed structures: seismic safety, fire safety, and main legislation.
CP2. Secondary construction systems: false ceilings; raised floors; exterior and interior openings; stairs; mechanical lifting systems.
CP3. Building networks: HVAC and smoke and gas extraction systems; water supply; wastewater drainage; electrical installations; gas distribution; telecommunications and home automation; fire safety.
CP4. Knowledge of excavation, backfilling, and earth retention methods, as well as common foundation solutions.
CP5. Roads, bridges, and viaducts; buried and hydraulic works; special structures.

Due to its practical and project-based nature, assessment takes place throughout the semester and consists of two components:
1 - Individual test (25%).
2 - Class participation, assessed through attendance and homework submission (15%).
3 - Individual project developed throughout the semester using a collaborative methodology, carried out in conjunction with the Construction Information Modeling II course (60%). This project includes a final discussion, which takes place in the last week of classes.
To pass, students must not have a grade lower than 9.5 in any of the assessment components.
A minimum attendance of 2/3 of classes is required and participation in site visits is mandatory.
There is no exam.
Supplementary oral assessment may be carried out in addition to any assessment method or to validate the final grade.

José Ricardo Pontes Resende

At the end of the course unit, each student should be able to:
OA1. Create and manipulate construction information, with a focus on BIM methodology, mastering the creation and management of detailed and rigorous digital models, including non-geometric information, in a collaborative environment;
OA2. Develop automations using visual programming, integrating modelling processes and BIM model data management to increase process efficiency, precision and control.
OA3. Understand the principles of interoperability in digital construction and work collaboratively in OpenBIM environments, applying international standards and requirements to ensure the integration of different disciplines and players.

The Programme Contents are as follows:
CP1. Collaborative creation and management of BIM and non-BIM information, including the definition and organisation of data structures, parameter management, classification systems and information quality assurance, in accordance with regulatory requirements.
CP2. Development of automations using Visual Programming (Dynamo for Revit), applied to the extraction, manipulation, enrichment and creation of information from BIM models and external data sources, working with different data formats (XML, JSON, CSV).
CP3. Application of the concepts and practices of OpenBIM and interoperability in digital construction, focusing on using the IFC format as a standard for exchanging information between different disciplines and tools.

Assessment takes place throughout the semester and combines two instruments that ensure the consolidation of theoretical knowledge and the practical application of skills:
- Individual test (30 per cent): carried out on the 1st stage exam date, it has a theoretical and practical component. The theoretical part assesses understanding of concepts and methodologies. In the practical component, the student solves computer-based exercises to assess their ability to apply the knowledge.
- Projects (70%): developed throughout the semester, these consist of the practical application of knowledge in contexts that simulate real situations in professional practice. The projects are discussed in class.
Given the practical nature of the course and the continuous assessment model adopted, there is no final exam.
In order to pass the course, you must simultaneously:
- Obtain a weighted average of 9.5 points;
- Obtain at least 8.0 marks in all assessment components;
- Attend at least 2/3 of the classes.
The use of Artificial Intelligence (AI) tools is permitted in the realisation of projects and exercises, as long as their use is duly identified. The use of AI does not exempt the student from full responsibility for the content produced.

Leonor Domingos

The general objectives of the curricular unit are guaranteed through the following Learning Outcomes:
OA1 - Reflect on and apply theoretical principles, norms and recommendations for intervention in classified and non-classified buildings and constructions;
OA2- Getting to know building systems and identify the main anomalies and pathologies in buildings and constructions;
OA3 - Getting to know and use means of surveying and characterising buildings;
OA4 - Use digital technologies in an integrated and efficient way to collaborate in multidisciplinary teams in the diagnosis, design and rehabilitation and strengthening of buildings.

These learning outcomes are compatible with the teaching method as project-based teaching allows the students to frame the theoretical knowledge they've gained, the tools they had contact with and the challenges related to the application of new knowledge and new skills.

The syllabus of this course goes as follows:
CP1 - The reuse, conversion and rehabilitation of buildings in the context of the Circular Economy, principles for intervention in classified and unclassified built heritage.
CP2 - Identifying building systems, materials and pathologies.
CP3 - Building survey and characterisation techniques such as laser scanning, ground and aerial photogrammetry, thermography and traditional survey techniques;
CP4 - BIM modelling for rehabilitation.

Assessment will take place throughout the semester.

- Individual introductory exercise on building surveying, of initial approach as defined on CP3 (15%).

- Delivery of individual report and oral presentation of the practical work of identifying pathologies in buildings, according to what is defined in CP2 (15%).

- Individual theoretical test on the identification of pathologies in buildings, as defined in CP1 and CP2 (30%).

- Project work comprising the application of all the CP, with a bigger focus on CP3 and CP4 (40%).

The grade in all assessment elements must be a minimum of 8.0 values, and the final grade must be, at least, 9.5 values.

Due to the practical nature of the course, there is no written exam.

Luís Miguel Torres Curado

The general objectives of the course are realized through the following learning outcomes:

OA1: Understand the design, operation and dynamic nature of construction sites.

OA2: Understand the current scope of quality management in construction. Understand the regulatory and normative context. Apprehend quality management procedures in building design. To be able to design and implement quality management systems.

OA3: Know and interpret the legislation for exercising the role of Safety Coordinator in Construction; Carry out Health and Safety Plans, as well as technically validate them and monitor their execution during the construction phase; Support the Owner in the elaboration and updating of the construction site initial communication and technical compilation.

OA4: Understand the overlaps, synergies, differences and integration possibilities between quality, safety and sustainability management systems.

The course sylabus comprises the following contents:

CP1 – Construction sites
a) Facilities and support means
b) Design and operation, interrelationships and transience

CP2 - Quality in construction:
a) From inspection to Total Quality
b) Quality in construction design
c) Standards, Portuguese Quality System, Accreditation and Certification
d) Structuring and documents of Quality Management Systems
e) Implementation and Control of Quality Systems in the Construction sites

CP3 - Occupational safety and health (OSH) in construction
a) OSH management systems
b) OSH Legal Regime
c) OSH Coordination in Design and Construction

CP4 - Integrated Quality, OSH and Sustainability Management Systems, in a BIM context.

There are two assessment methods: assessment throughout the semester and Final Exam.

1 - Assessment throughout the semester:
- Individual project work with discussion and visit reports (60%)
- Individual written test (40%)
To pass, students must not score below 9.5 in any assessment component. A minimum attendance of at least 2/3 of the classes is required.

2 - Assessment by Exam.

A supplementary oral assessment may be carried out in addition to any assessment method or to validate the final grade.

Bruno Miguel Gonçalves Mataloto

LO1. Dominate the technology of installation of various building infrastructure;
LO2. Recognizing the conditionings drawn in different infrastructures, proceeding to its compatibility.
LO3. Identify the different constituent elements of infrastructure;
LO4. Identify the basic principles of design of various infrastructure.
LO5. Understand the systems for smart buildings and utilities integration, from as sustainable construction perspective.

CP1. Utilities. Introduction;
CP2. Water supply and drainage systems;
CP3. Electricity and telecommunications systems;
CP4. Gas supply systems;
CP5. HVAC - Heating, ventilation and air conditioning;
CP6. Other systems (central vacuum, alarm, detection and extinguishing);
CP7. Shearing layers concept and in(ter)dependence between systems.
CP8. Smart building systems and utilities integration.

The periodic assessment consists of:
- group assignments with oral discussion (50%) and site visit reports (15%). The assignment is common with BIM Modelling III.
- individual written test (35%), during the class period.
To be approved in the continuous and periodic assessment the student must not score below 8.0 in any of the assessment elements and the attendance must be >= 2/3.
Students not approved in the continuous and periodic assessment may attend a written exam.

João Miguel Matos

LO1 Frame and understand the main components of the World Wide Web;
LO2 Know and correctly apply the client programming model and the MVC paradigm;
LO3 Use and extend server technologies to develop web applications and services;
LO4 Integrate web applications and services with Database Management Systems;
LO5 Understand the life cycle pipeline of a web project;
LO6 Develop creativity, technological innovation, critical thinking;
LO7 Develop self-learning, peer review, teamwork, oral expression.

S1 Introduction. The history of the Web. Programming languages for the Web; W3C standards.
S2 World Wide Web Architecture. Screen marking with HyperText Markup Language (HTML).
S3 Client-side programming. Structure description (HTML), style sheets (CSS) and dynamic updating of the graphical interface. Input validation; Introduction to client-side security.
S4 Server-side programming. Distribution of static content, dynamic generation of content and MVC design pattern. Services and communication between services. Introduction to server-side security.
S5 Data persistence. Integration with Database Management Systems
S6 Service-oriented web architectures. Web Services and Microservices. Middleware models for the Web. Containerization.

Course with Periodic Assessment, not by Final Exam.
Assessment weights:
- Lab project (in group between 2 and 4), with technical report, individual oral discussion (60%)
- 4 multiple response individual Mini-tests (40%)

A mark below 8 assigns (in average of mini-tests) the student to an exam in normal and/or the appeal period (40% of the mark) in a written test, with the completion and approval of the group project, or an individual project (with technical report and individual oral discussion) is mandatory (60%).

Leonor Domingos

At the end of the learning unit, the student must be able to:
LG.1. Understand entrepreneurship;
LG.2. Create new innovative ideas, using ideation techniques and design thinking;
LG.3. Create value propositions, business models, and business plans;
LG.5. Develop, test and demonstrate technology-based products, processes and services;
LG.6. Analyse business scalability;
LG.7. Prepare internationalization and commercialization plans;
LG.8. Search and analyse funding sources

I. Introduction to Entrepreneurship;
II. Generation and discussion of business ideas;
III. Value Proposition Design;
IV. Business Ideas Communication;
V. Business Models Creation;
VI. Business Plans Generation;
VII. Minimum viable product (products, processes and services) test and evaluation;
VIII. Scalability analysis;
IX. Internationalization and commercialization;
X. Funding sources

Periodic grading system:
- Group project: first presentation: 30%; second presentation: 30%; final report: 40%.

Bruno Duarte Damas

By the end of this course unit, the student should be able to:
LO1: Apply fundamental programming concepts.
LO2: Create procedures and functions with parameters.
LO3: Understanding the syntax of the Python programming language.
LO4: Develop programming solutions for problems of intermediate complexity.
LO5: Explain, execute and debug code fragments developed in Python.
LO6: Interpret the results obtained from executing code developed in Python.
LO7: Develop programming projects.

PC1. Integrated development environments. Introduction to programming: Logical sequence and instructions, Data input and output.
PC2. Constants, variables and data types. Logical, arithmetic and relational operations.
PC3. Control structures.
PC4. Lists and Lists of Lists
PC5. Procedures and functions. References and parameters.
PC6. Objects and object classes.
PC7. File Manipulation.

This course follows a semester-long project-based assessment model due to its predominantly practical nature, and does not include a final exam.

Students are assessed based on the following components (A1 + A2):
A1: Learning Tasks with teacher validation (30%)
Five learning tasks will be completed throughout the semester.
The A1 grade corresponds to the average of the grades for the five tasks. To pass A1, the student must meet one of the following requirements:
- obtain at least 7 points in each of the five tasks
or
- obtain a minimum average of 8 points across the five tasks.

A2: Mandatory Group Project (3) with theoretical-practical discussion (70%)
Minimum grade of 9.5 points.
Late submissions will result in penalties.

Remediation:
Students who do not achieve the minimum overall grade may complete an individual Practical Project (100%) with oral discussion.
If a student misses an exam due to absence, or does not achieve the minimum grade of 7 points, they may take a make-up exam at the end of the semester.

Attendance:
A minimum attendance of 2/3 of classes is required.

Manuel João da Silva Oliveira

At the end of this UC, the student should be able to:
LG.1. Present the image of the product/service in a website
OA.2. Present the image of the product/service in social networks
OA.3. Describe functionalities of the product/service
OA.4. Describe phases of the development plan
OA.5. Develop a prototype
OA.6. Test the prototype in laboratory
OA.7. Correct the product/service according to tests
OA.8. Optimize the product/service considering economic, social, and environmental aspects
OA.9. Adjust the business plan after development and tests, including commercialization and image
OA.10. Define product/service management and maintenance plan

I. Development of the product/service image
II. Functionalities of the product/service
III. Development plan
IV. Development of the product/service (web/mobile or other)
V. Revision of the business plan
VI. Management and maintenance of the product/service
VII. Certification plan
VIII. Intellectual property, patents, and support documentation
IX. Main aspects for the creation of a startup - juridical, account, registry, contracts, social capital, obligations, taxes

Periodic grading system:
- Group project: first presentation: 30%; second presentation: 30%; final report: 40%. The presentations, demonstrations and Defence are in group.

LO1. Understand the context of the construction industry.
LO2. Organize contracts from the client's point of view.
LO3. Manage construction contracts from the contractor's point of view.

The Program includes the following contents
PC1. Construction works. Terminology, definitions, stakeholders;
PC2. Applicable legislation;
PC3. Phases and methods of implementation of a work. Public-Private Partnerships;
PC4. Pre-contracting activities. Modes of contracting. Adjudications
PC5. Qualification of contractors;
PC6. Budgeting from the contractor's point of view.
PC7. Organization of construction sites;
PC8. Invoicing, payments, price revision, guarantees;
PC9. Quality in construction;
PC10. Safety in construction.

The periodic assessment consists of three theoretical and practical tests taken in class.
Final exam is waived for students who obtain both test averages greater than 9.5 and have no grade below 7.0 on any test.
Attendance must be >= 2/3.

Final, practical exam, for students who fail at the periodic assessment.

After completing this UC, the student will be able to:

LO1. Identify the main themes and debates relating to the impact of digital technologies on contemporary societies;
LO2. Describe, explain and analyze these themes and debates in a reasoned manner;
LO3. Identify the implications of digital technological change in economic, social, cultural, environmental and scientific terms;
LO4. Predict some of the consequences and impacts on the social fabric resulting from the implementation of a digital technological solution;
LO5. Explore the boundaries between technological knowledge and knowledge of the social sciences;
LO6. Develop forms of interdisciplinary learning and critical thinking, debating with interlocutors from different scientific and social areas.

S1. The digital transformation as a new civilizational paradigm.
S2. The impact of digital technologies on the economy.
S3. The impacts of digital technologies on work.
S4. The impact of digital technologies on inequalities.
S5. The impacts of digital technologies on democracy.
S6. The impacts of digital technologies on art.
S7. The impacts of digital technologies on individual rights.
S8. The impacts of digital technologies on human relations.
S9. The impacts of digital technologies on the future of humanity.
S10. Responsible Artificial Intelligence.
S11. The impact of quantum computing on future technologies.
S12. The impact of digital technologies on geopolitics.

The assessment process includes the following elements:

A) Ongoing assessment throughout the semester
A1. Group debates on issues and problems related to each of the program contents. Each group will participate in three debates throughout the semester. The performance evaluation of each group per debate will account for 15% of each student's final grade within the group, resulting in a total of 3 x 15% = 45% of each student's final grade.
A2. Participation assessment accounting for 5% of each student's final grade.
A3. Final test covering part of the content from the group debates and part from the lectures given by the instructor, representing 50% of each student's final grade.
A minimum score of 9.5 out of 20 is required in each assessment and attendance at a minimum of 3/4 of the classes is mandatory.

B) Final exam assessment Individual written exam, representing 100% of the final grade.

José Ricardo Pontes Resende

Upon sucessfull completion of the course, students will be able to:
OA1. Assess needs and opportunities for improvement in the digitisation of design, construction and operation processes in the AECO sector, using appropriate analysis tools and techniques.
OA2. Design an innovative technological project that responds to real challenges in sustainable construction, promoting a positive impact on efficiency, sustainability or collaboration in the sector.
OA3. Develop and test solutions integrating at least one digital technology (e.g. BIM, sensors, collaborative platforms, automation) and one organisational dimension (e.g. planning, monitoring, communication, security).
OA4. Apply project management methodologies from problem definition to solution implementation and evaluation, ensuring its technical, operational and environmental feasibility.

The programme content of the course is as follows:
CP1. Fundamentals of project management in digital construction contexts: agile and traditional models.
CP2. Diagnosis of needs and opportunities for improvement in organisations in the AECO sector.
CP3. Techniques for surveying and analysing functional and technical requirements.
CP4. Systematic review of literature and benchmarking of digital solutions applied to sustainable construction.
CP5. Applied digital technologies: BIM, sensors, collaborative platforms, automation and data integration.
CP6. Development and testing of technological solutions integrating technical and organisational processes.
CP7. Preparation of technical documentation, project reports and public presentation of results.

The assessment is based on the progressive development of an applied project aimed at identifying and solving real problems in the construction sector, using digital technologies and project management methodologies.
Assessment is spread throughout the semester and is based on three main components:
1 - Diagnosis and Planning (30%) – This includes identifying needs and opportunities for improvement in an organisation, gathering requirements and defining the methodological approach. This phase assesses critical analysis and planning skills (OA1, OA4).
2 - Solution Development and Testing (40%) - Consists of developing and testing a digital solution that integrates a technological component and an organisational dimension. This phase assesses the ability to design and implement relevant and sustainable solutions (OA2, OA3).
3 - Final Presentation and Discussion (30%) – The oral presentation and delivery of technical documentation allow for the assessment of clarity in the communication of results, the coherence of the project, and the validation of individual participation (LO4). The oral discussion may include a critical reflection on the impact of the proposed solution and future opportunities.

There is no final exam. To obtain a pass, students must:
- Obtain at least 9.5 points in each of the assessment components;
- Attend at least 2/3 of the classes.

The assessment includes continuous feedback throughout the different phases, promoting progressive improvement of the project and self-regulation of learning.
The use of Artificial Intelligence tools is permitted, provided that it is clearly identified, indicating the tools used, the type of support received, and the limits of their application. Responsibility for the content presented lies entirely with the student.

João Carlos Ferreira

Upon completing this course, students should:
OA1: Recognise AI fundamentals, linking predicate logic and knowledge-based systems.
OA2: Build and interpret simple machine learning models, distinguishing classification from regression, and defining suitable evaluation metrics.
OA3: Apply deductive and inductive reasoning, understanding how knowledge representation and heuristics guide decision-making.
OA4: Critically analyse the suitability of AI approaches in specific contexts, considering data, performance, and ethical implications.
OA5: Implement basic Generative AI strategies, focusing on prompt engineering and innovative content generation.
OA6: Demonstrate autonomous research and experimentation skills, integrating AI concepts into collaborative projects.
OA7: Reflect on AI constraints and socio-economic impacts, adopting a responsible stance in methodology selection and application.

S1: Essential AI concepts: definition, historical evolution, and multidisciplinary relevance.
S2: Predicate logic and knowledge-based systems: representation, deduction, and applications.
S3: Reasoning methods and heuristics: informed and uninformed search, selecting suitable strategies.
S4: Introduction to machine learning: basic notions, classification and regression algorithms, evaluation metrics.
S5: Simple predictive models: design, implementation, and results analysis in real-world scenarios.
S6: Generative AI: foundations, prompt engineering, and creative applications.
S7: Critical approach to AI limitations, ethical challenges, and socio-economic implications.

The assessment of this curricular unit follows the model of Assessment Throughout the Semester (ALS), provided for in the RGACC, and includes several moments, organized into three assessment blocks (AB), aimed at measuring progress and consolidating knowledge. It is made up as follows:
AB1: Written Exam (40%)
Assesses the fundamental concepts of artificial intelligence, machine learning, and generative AI. The exam evaluates both theoretical understanding and the ability to apply the concepts in practice.

AB2: Final Project in AI (60%)
Conducted individually or in groups, this project involves the design, implementation, and evaluation of a prototype or case study based on the course content. It encourages integration of knowledge and critical reflection on the topics covered. Evaluation is divided into a written report (60%) and an oral presentation (40%), delivered during the final session.

Additional rules:
Each assessment block requires a minimum score of 8.5 points.
If necessary, an individual oral discussion may be conducted to confirm knowledge.
The final course grade is the weighted sum of both blocks, with a minimum of 10 points required to pass.

Luís Filipe Madeira Ribeirinho Soares

At the end of the course unit, each student should be able to:
OA1. Apply fundamental concepts of information management in the BIM context, with emphasis on the openBIM paradigm and the application of current norms and standards.
OA2. Coordinate multidisciplinary BIM models, promoting interoperability, clash detection, and integration between different specialties.
OA3. Extract and analyze quantity take-offs and work schedules from BIM models, ensuring information reliability during the design phase.

The Programmatic Contents are:
PC1. Norms, methods, and protocols applicable to information management in BIM, with emphasis on ISO 19650 and the openBIM philosophy.
PC2. Definition and structuring of Exchange Information Requirements (EIR).
PC3. Development and analysis of BIM Execution Plans (BEP), based on the guidelines of buildingSMART and NP EN ISO 19650-2.
PC4. Spatial coordination between disciplines using clash detection tools and analysis of federated models.
PC5. Application of classification systems in structuring model information and its articulation with construction management processes.
PC6. Extraction of quantities from BIM models.

Assessment takes place throughout the semester and combines two instruments that ensure the consolidation of theoretical knowledge and the practical application of skills:

- Individual test (30%): carried out on the 1st phase exam date, including both theoretical and practical components. The theoretical part assesses understanding of concepts and methodologies. In the practical part, students solve applied computer-based exercises to evaluate their ability to apply knowledge.
- Project (70%): developed throughout the semester, this consists of the practical application of knowledge in contexts simulating real-world professional situations, subject to a final discussion.

Due to the practical nature of the course unit and the continuous assessment model adopted, there is no final exam.

To pass the course unit, students must:
- Obtain at least 9.5 out of 20 in each assessment component;
- Attend at least two-thirds of the classes.

The use of Artificial Intelligence (AI) tools is permitted in the development of projects and exercises, provided that their use is clearly identified. The use of AI does not exempt students from full responsibility for the content produced.
An oral assessment may be conducted in addition to any assessment method or to validate the final grade.

José Ricardo Pontes Resende

At the end of this UC, the student should be able to:
LG.1. Capture business and implement PPS pilots on the client
LG.2 Develop Pilot and Business Plan for the coming months
LG.3 Schedule meetings for commercial actions and ensure the implementation of two pilots during the semester
LG.4 Prepare a report evaluating features and customer satisfaction with KPIs.
LG.5 Perform a SWOT analysis for potential competitors (direct and indirect)
LG.6 Participate in the preparation of an innovation proposal with future functionalities for the PPS
LG.7 Experience working in an environment of AUDAX - Innovation and Entrepreneurship Center with startup incubation, or in a context of intra-entrepreneurship in a company related to the area and interested in PPS.

I. Essential Aspects for the Implementation of Pilots of a PPS
II. Pilot Plan and milestones for controlling actions
III. Feature evaluation and definition of KPIs
IV. SWOT analysis for competition
V. Innovation proposals for national and international calls
VI. Ethics and Deontology in an environment of startups and companies

Periodic grading system:
- Dossier containing the documentation of various stages: first presentation: 30%; second presentation: 30%; Dossier delivery: 40%; The presentations, demonstrations and Defence are in group.

LO1. Identify and describe the relationship between construction, the planetary boundaries and contemporary societal challenges.
LO2. Challenges of sustainable construction: operational energy, materials and embodied carbon.
LO5. Calculate and evaluate the impact of construction according to the LEVELS methodology.

The Program includes the following contents
PC1. Sustainable complex systems: Human activity and environmental/social impacts; SDGs.
PC2. Energy: Energy in buildings; Energy efficiency; Renewable energy; NZEB.
PC3. Resources, waste and emissions: Building life cycle; Principles of circularity in architecture; Life cycle of materials and building solutions.
PC4. The LEVELS methodology.

Mandatory periodic assessment:
- Individual test (minimum score 8.0/20; 40%);
- Group assignment: impact evaluation of a project, according to the principles of LEVELS methodology (60%).
Class attendance must be >= 2/3 of all classes.
Final exam for students who do not pass the periodic assessment.