2025
Funerary contexts in Bioarchaeology
Name: Funerary contexts in Bioarchaeology
Code: HIS14694M
3 ECTS
Duration: 15 weeks/78 hours
Scientific Area:
Archeology, Biological Sciences
Teaching languages: Portuguese
Languages of tutoring support: Portuguese
Regime de Frequência: Presencial
Presentation
This CU promoves the understanding of diversity in Funerary Archaeology, from Prehistory to current times.
Sustainable Development Goals
Learning Goals
Understanding of the diversity in Funerary Archaeology from Prehistory to modern times at the level of architectures, remains, implantations, chronologies, and osteological sets present.
The relation between humans and the past ecosystem and the processes of choice of reference areas for constructing funerary monuments and depositions.
The relation between humans and the past ecosystem and the processes of choice of reference areas for constructing funerary monuments and depositions.
Contents
1. The Funerary Contexts
2. Funerary Architectures
2.1. Positive architectures
2.2. Negative architectures
3. Symbolic behaviors
4. The materials
5. The burials
6. Deployments in space
7. Chronologies
8. The interpretive models
2. Funerary Architectures
2.1. Positive architectures
2.2. Negative architectures
3. Symbolic behaviors
4. The materials
5. The burials
6. Deployments in space
7. Chronologies
8. The interpretive models
Teaching Methods
Presentation by the teacher of theoretical concepts, definitions, methodologies, and case studies, using analysis of texts, images, cartography, artifacts/ecofacts, and digital resources. Sessions are accompanied by student engagement through a dialogic approach to learning or the organisation of debate sessions involving students. In addition to the case studies presented by the professor, experts may be invited to enrich the content and program diversity, thus also adapting the program content to the main interests of students and contributing to a greater articulation between teaching and research.
Assessment
Continuous assessment, consisting of a written assignment (35%), in-class presentation and discussion (50%), and attendance/participation in classes or other training events (15%), or a Final Exam (100%).
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 materials submitted for assessment must be explicitly declared, 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, acknowledging 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 work submitted. 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 not permitted to generate texts, answers, images, or other content presented as the student?s original work; to automatically produce assignments, essays, reports, or other assessment components without substantial intellectual input from the human author; or to manipulate, falsify, or omit information sources. Work in which AI use is identified without an explicit declaration will be considered in breach of academic integrity standards and may result in 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 instructor may use any tools deemed necessary to verify students? use of AI, and may request oral clarifications or, if necessary, require an oral examination before the course jury.
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 materials submitted for assessment must be explicitly declared, 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, acknowledging 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 work submitted. 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 not permitted to generate texts, answers, images, or other content presented as the student?s original work; to automatically produce assignments, essays, reports, or other assessment components without substantial intellectual input from the human author; or to manipulate, falsify, or omit information sources. Work in which AI use is identified without an explicit declaration will be considered in breach of academic integrity standards and may result in 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 instructor may use any tools deemed necessary to verify students? use of AI, and may request oral clarifications or, if necessary, require an oral examination before the course jury.
Teaching Staff
- Nelson José Oliveira de Almeida [responsible]
- Vítor Miguel Jacinto de Matos
Accreditations and Certifications
