2025

Thematic Seminar in History II - Political History

Name: Thematic Seminar in History II - Political History
Code: HIS14072M
12 ECTS
Duration: 15 weeks/312 hours
Scientific Area: History

Teaching languages: Portuguese
Languages of tutoring support: Portuguese
Regime de Frequência: Presencial

Presentation

The main bibliography intends to include the most striking works for the set of themes developed in this seminar.

Sustainable Development Goals

Learning Goals

General Objectives:
- Increase the knowledge about the construction of the historiographical field of Political History and about the most remarkable historiographic debates;
- Promote relational analysis of different spaces and chronologies;
- Motivate interdisciplinary approaches to the study of political phenomena.
Specific objectives:
- Develop the ability to reflect on the processes of setting concepts and categories;
- Encourage knowledge and the ability to criticize different historical sources;
- Introduce students to the practice of specialized research in Political History.

Contents

Part I - Political History: Theory and Historiography

Part II - Problems and sources of Political History
- Participation, communication and political practice.
- Military power and diplomacy.
- Religion and Government of the faithful.
- Normative frameworks, speeches and political culture.
- Censorship and tolerance.
- Assimilation, integration, resistance or conflict.

Teaching Methods

The different topics indicated in Part II of the program may be adapted in their extension considering the profile of students interests and ongoing research projects.
In each topic, specific sources will be used.
Part I - a set of lectures and commentary on historiographic texts - 12 hours
Part II - seminar sessions distributed among the different themes.
These sessions will be based on the presentation and discussion of texts - 40 hours.
Oral presentation and discussion of students works- 8 hours

Assessment

- Oral presentations (40%): each student presents one text in each module;
- Reading reports (20%): each student must submit a weekly reading report on one text. At the end of the module, they must indicate which report is to be assessed;
- Final work (40%): choose one module for a synthesis paper based on the texts discussed. This assignment may include an oral presentation.

Policy on the Use of Artificial Intelligence:
1 ? In this course, in the 2025?26 academic year, the responsible use of AI tools is permitted for translating texts, occasionally creating images or diagrams, clarifying concepts, and supporting learning, statistical data processing, bibliographic research, and preparation of the state of the art, provided that the Student proceeds as follows:
a) critically validates all resulting information used and maintains human control over the content;
b) properly references, in their work, the tools used and indicates the purposes for which they were used;
c) agrees to sign a declaration regarding their use, if requested by any instructor.
2 ? When assessment by the teaching staff or any of its members is involved, the following constitute unacceptable uses of AI in this course during the aforementioned academic year:
a) generating or reformulating text, as this is also being assessed;
b) creating the outline of the assignment;
c) correcting the structure and writing of the entire text or parts thereof;
d) generating data;
e) generating PowerPoint presentations or equivalent materials to be presented in class.
3 ? The insertion 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 ? The improper use of AI will be considered a violation of academic integrity and may entail, depending on its severity:
a) the requirement to complete an oral test or oral examination to determine the final grade;
b) penalties provided for in the Academic Regulations ? Article 119.
5 ? Materials submitted for assessment may be subject to plagiarism detection systems or other forms of fraud detection.