2026
Archaeology Field II
Name: Archaeology Field II
Code: HIS12034L
6 ECTS
Duration: 15 weeks/156 hours
Scientific Area:
Archeology
Teaching languages: Portuguese
Languages of tutoring support: Portuguese
Sustainable Development Goals
Learning Goals
To provide students with direct contact with the reality of archaeological research, through participation in archaeological excavations of sites of chronologies between Prehistory and Protohistory.
Students will learn to identify and register stratigraphic units, types of structures and archaeological remains specific to these chronologies; they should also develop skills in terms of field drawing and photography.
Whenever possible, students will also develop the final work of treatment of the remains in the laboratory.
At the end, they will also have to be able to write a scientific technical report following the guidelines foreseen in the archaeological activity.
Students will learn to identify and register stratigraphic units, types of structures and archaeological remains specific to these chronologies; they should also develop skills in terms of field drawing and photography.
Whenever possible, students will also develop the final work of treatment of the remains in the laboratory.
At the end, they will also have to be able to write a scientific technical report following the guidelines foreseen in the archaeological activity.
Contents
1. Archaeological excavation
1.1 methodologies of excavation
1.2 excavation practice
1.3 recording and treatment of archaeological remains in the field
2. The post-excavation: archaeological work in laboratory
3. The preparation of technical-scientific reports in accordance with the legislation in force ( Decree-Law 164/2014, of 4 November)
1.1 methodologies of excavation
1.2 excavation practice
1.3 recording and treatment of archaeological remains in the field
2. The post-excavation: archaeological work in laboratory
3. The preparation of technical-scientific reports in accordance with the legislation in force ( Decree-Law 164/2014, of 4 November)
Teaching Methods
Field classes: excavation, recording, and drawing. Laboratory classes: material processing, reporting, and production of texts.
Assessment
The evaluation will be conducted through:
- Attendance, assiduity, and performance in field classes (40%);
- Elaboration of a technical report about the field classes (60%) in accordance with the Regulamento de Trabalhos Arqueológicos (art. 15 do DR nº 164/2014, de 4 de novembro).
This course unit, given its characteristics, does not provide for a final assessment by exam.
Guiding principles for the use of AI: AI may be used to support learning, not to replace human reflection, creativity, or authorship. Any use of AI must comply with the principles of honesty, rigour, and intellectual responsibility, avoiding plagiarism, fabrication, or uncritical dependence on automated outputs. Any use of AI in the preparation of the report submitted for assessment must be explicitly identified, indicating the tool used and the nature of its contribution. Students must demonstrate the ability to evaluate, interpret, and critically engage with AI-generated results, recognising their limitations, biases, and ethical implications. It is prohibited to enter personal data, confidential materials, or sensitive information into generative AI systems, in accordance with the GDPR and the University of Évora?s regulations. AI cannot be considered an author; therefore, the student retains full responsibility for the production and accuracy of the submitted work. The use of AI is permitted as a tool to support research, as an instrument for critical reflection, and in active learning contexts. The use of AI is prohibited for generating texts, answers, images, or other content to be presented as the student?s original work; for automatically producing assignments, essays, reports, or other assessed components without substantive intellectual intervention by the human author; or for manipulating, falsifying, or omitting information sources. Work in which AI use is detected without an explicit declaration will be considered a breach of academic integrity rules and may entail penalties equivalent to those applied in cases of plagiarism. The instructor may request additional explanations or preliminary versions of the work to confirm effective authorship. Originality, critical analysis, and interpretative ability remain key assessment criteria. The professor may use any tools they deem necessary to verify students? use of AI.
- Attendance, assiduity, and performance in field classes (40%);
- Elaboration of a technical report about the field classes (60%) in accordance with the Regulamento de Trabalhos Arqueológicos (art. 15 do DR nº 164/2014, de 4 de novembro).
This course unit, given its characteristics, does not provide for a final assessment by exam.
Guiding principles for the use of AI: AI may be used to support learning, not to replace human reflection, creativity, or authorship. Any use of AI must comply with the principles of honesty, rigour, and intellectual responsibility, avoiding plagiarism, fabrication, or uncritical dependence on automated outputs. Any use of AI in the preparation of the report submitted for assessment must be explicitly identified, indicating the tool used and the nature of its contribution. Students must demonstrate the ability to evaluate, interpret, and critically engage with AI-generated results, recognising their limitations, biases, and ethical implications. It is prohibited to enter personal data, confidential materials, or sensitive information into generative AI systems, in accordance with the GDPR and the University of Évora?s regulations. AI cannot be considered an author; therefore, the student retains full responsibility for the production and accuracy of the submitted work. The use of AI is permitted as a tool to support research, as an instrument for critical reflection, and in active learning contexts. The use of AI is prohibited for generating texts, answers, images, or other content to be presented as the student?s original work; for automatically producing assignments, essays, reports, or other assessed components without substantive intellectual intervention by the human author; or for manipulating, falsifying, or omitting information sources. Work in which AI use is detected without an explicit declaration will be considered a breach of academic integrity rules and may entail penalties equivalent to those applied in cases of plagiarism. The instructor may request additional explanations or preliminary versions of the work to confirm effective authorship. Originality, critical analysis, and interpretative ability remain key assessment criteria. The professor may use any tools they deem necessary to verify students? use of AI.
Teaching Staff (2025/2026 )
Accreditations and Certifications
