2025
Applied History
Name: Applied History
Code: HIS12025L
6 ECTS
Duration: 15 weeks/156 hours
Scientific Area:
History
Teaching languages: Portuguese
Languages of tutoring support: Portuguese
Regime de Frequência: Presencial
Sustainable Development Goals
Learning Goals
Thinking about knowledge:
- To know the creative economy, intelligent specialization, and citizen science;
- To identify needs/ areas of innovation in the historical-cultural and heritage context;
- To design and execute projects in the cultural-historical area;
- To consolidate the historical and cultural contents and the acquired methodological tools;
- To know the potential market for History and Heritage Studies;
- To make historical knowledge a mean of improving community well-being.
About skills:
- Capacity to integrate in multidisciplinary teams and to work in a collaborative way;
- To consolidate the critical spirit;
- Ability to plan and adapt contents to different contexts and audiences;
- To develop the ability to communicate the acquired knowledge;
- To develop creativity and initiative;
- To increase the sense of responsibility.
- To know the creative economy, intelligent specialization, and citizen science;
- To identify needs/ areas of innovation in the historical-cultural and heritage context;
- To design and execute projects in the cultural-historical area;
- To consolidate the historical and cultural contents and the acquired methodological tools;
- To know the potential market for History and Heritage Studies;
- To make historical knowledge a mean of improving community well-being.
About skills:
- Capacity to integrate in multidisciplinary teams and to work in a collaborative way;
- To consolidate the critical spirit;
- Ability to plan and adapt contents to different contexts and audiences;
- To develop the ability to communicate the acquired knowledge;
- To develop creativity and initiative;
- To increase the sense of responsibility.
Contents
1. History and the historian facing the challenge of the creative economy, intelligent specialization, open and citizen science and digital transformation. Fundamental concepts and notions, methodologies and frameworks.
2. Learning about projects for the application and dissemination of historical knowledge and discussing its scope.
3. How to conceive and implement a project of this nature, without forgetting the historical rigor and, if possible, using available technologies?
4. How to communicate results?
2. Learning about projects for the application and dissemination of historical knowledge and discussing its scope.
3. How to conceive and implement a project of this nature, without forgetting the historical rigor and, if possible, using available technologies?
4. How to communicate results?
Teaching Methods
This is a project-based course unit. Each student must develop their own project, according to their interests and future career expectations. It may even take the form of an internship within a project, an archive, a museum, a school, etc. If there are groups, they will consist of only two members.
Work may be carried out both in and beyond it, potentially involving the wider community and partner institutions. Teaching will be primarily tutorial/supervisory in nature and will seek to bridge the theory?practice divide, although some lectures will be included. Many themes will be approached from a transdisciplinary perspective.
Priority will be given to: creativity; active involvement of students and the instructor; the principles of action research; objective-based, highly personalised work; the use of digital tools; within a continuous assessment framework (the exam will be exceptional in this course unit).
Work may be carried out both in and beyond it, potentially involving the wider community and partner institutions. Teaching will be primarily tutorial/supervisory in nature and will seek to bridge the theory?practice divide, although some lectures will be included. Many themes will be approached from a transdisciplinary perspective.
Priority will be given to: creativity; active involvement of students and the instructor; the principles of action research; objective-based, highly personalised work; the use of digital tools; within a continuous assessment framework (the exam will be exceptional in this course unit).
Assessment
a) Continuous assessment:
- Project ? 15%;
- Report and implementation/execution ? 50%;
- Defence/viva of the final work ? 35%.
NOTE: When the work takes the form of an internship/placement, the supervisor at the host organisation will have input into the final grade.
b) Final assessment: written exam in June/July.
The exact dates of these assessments will be provided in the summary for the 1st or 2nd in-person session.
NOTE: During exams, the use/consultation of mobile phones is prohibited (they must be switched off and put away), as is the use of earphones/headphones of any kind, as well as smartwatches.
Artificial Intelligence use policy
1- In this course unit, in the 2025?26 academic year, the responsible and transparent use of AI tools is permitted for: translating texts; occasional creation of images, diagrams, or teaching materials; clarifying concepts and supporting learning; statistical processing of data; bibliographic research; and generating code and cartography, provided that the student:
a) critically validates any resulting information they use and retains human control over the content;
b) properly cites, in their work, the tools used and states the purposes for which they were used;
c) agrees to sign a declaration regarding their use, if requested.
2 - When assessment by the professor or any member of the supervisory team is involved, the following uses of AI are unacceptable in this course unit in the academic year stated:
a) generating text;
b) creating the work plan;
c) correcting the structure and writing of the text as a whole, since writing is an assessed component;
d) generating data;
e) generating PowerPoints or equivalent slide decks to be presented in class;
f) failing to cite these tools when they have been used.
3 -The entry of personal or sensitive data, the fabrication of bibliographic references and citations, or the reproduction of content without review constitute violations of the principles of academic ethics.
4 - Improper use of AI will be considered a breach of academic integrity and may entail, depending on severity:
a) being required to take an oral assessment or oral exam to determine the grade;
b) the penalties set out in the Academic Regulations ? Article 119.
5 - Materials submitted for assessment may be subject to plagiarism-detection systems or other fraud-detection measures.
- Project ? 15%;
- Report and implementation/execution ? 50%;
- Defence/viva of the final work ? 35%.
NOTE: When the work takes the form of an internship/placement, the supervisor at the host organisation will have input into the final grade.
b) Final assessment: written exam in June/July.
The exact dates of these assessments will be provided in the summary for the 1st or 2nd in-person session.
NOTE: During exams, the use/consultation of mobile phones is prohibited (they must be switched off and put away), as is the use of earphones/headphones of any kind, as well as smartwatches.
Artificial Intelligence use policy
1- In this course unit, in the 2025?26 academic year, the responsible and transparent use of AI tools is permitted for: translating texts; occasional creation of images, diagrams, or teaching materials; clarifying concepts and supporting learning; statistical processing of data; bibliographic research; and generating code and cartography, provided that the student:
a) critically validates any resulting information they use and retains human control over the content;
b) properly cites, in their work, the tools used and states the purposes for which they were used;
c) agrees to sign a declaration regarding their use, if requested.
2 - When assessment by the professor or any member of the supervisory team is involved, the following uses of AI are unacceptable in this course unit in the academic year stated:
a) generating text;
b) creating the work plan;
c) correcting the structure and writing of the text as a whole, since writing is an assessed component;
d) generating data;
e) generating PowerPoints or equivalent slide decks to be presented in class;
f) failing to cite these tools when they have been used.
3 -The entry of personal or sensitive data, the fabrication of bibliographic references and citations, or the reproduction of content without review constitute violations of the principles of academic ethics.
4 - Improper use of AI will be considered a breach of academic integrity and may entail, depending on severity:
a) being required to take an oral assessment or oral exam to determine the grade;
b) the penalties set out in the Academic Regulations ? Article 119.
5 - Materials submitted for assessment may be subject to plagiarism-detection systems or other fraud-detection measures.
Teaching Staff
- Maria Fernanda de Olival [responsible]
Accreditations and Certifications
