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2025-2026 / LING0018-1

Issues in general linguistics

Duration

15h Th, 15h Pr

Number of credits

 Master in ancient and modern languages and literatures, research focus5 crédits 
 Master in modern languages and literatures : Germanics, research focus5 crédits 
 Master in French and Romance languages and literatures : general, research focus5 crédits 
 Master in linguistics, research focus5 crédits 
 Master in modern languages and literatures : general, reasearch focus5 crédits 
 Master in ancient and modern languages and literatures, teaching focus (Réinscription uniquement, pas de nouvelle inscription)5 crédits 
 Master in French and Romance languages and literatures : general, teaching focus (Réinscription uniquement, pas de nouvelle inscription)5 crédits 
 Master in linguistics, professional focus in analysis of textual data5 crédits 
 Master in ancient and modern languages and literatures, professional focus in editing and publishing5 crédits 
 Master in French and Romance languages, general, professional focus in the analysis and creation of critical knowledge5 crédits 
 Master in linguistics, professional focus in word processing and analysis of textual data (joint degree programme) (Double diplomation)5 crédits 
 Master in French and Romance languages, general, professional focus in publishing and book trade5 crédits 
 Master in French and Romance languages and literatures : general, professional focus in French as a foreign language5 crédits 
 Master in ancient and modern languages and literatures5 crédits 
 Master in French and Romance languages and literatures : general (60 ECTS)5 crédits 

Lecturer

Nicolas Mazziotta

Language(s) of instruction

French language

Organisation and examination

Teaching in the second semester

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

The course will focus on linguistic diagrams, considered as tools for visualizing linguistic analyses. We will read a selection of these works together.

Diagrams are key tools in linguistic research. As tools that enable reasoning in various fields of human knowledge according to C.S. Peirce, diagrams can be seen as genuine formalizations of the relationships between concepts and entities. We will explore the reasoning associated with diagrams, the formalizations related to them, and the typology of graphical representations in the language sciences. (Transl. ChatGPT)

Learning outcomes of the learning unit

Students will develop the following skills, applied to texts centered on topics related to the course:

  • understand a linguistic text;
  • present a linguistic reasoning;
  • present their personal views on a linguistic issue.

Prerequisite knowledge and skills

General knowledge of theoretical linguistic notions is required.

Planned learning activities and teaching methods

The course will be conducted differently depending on the number of participants and the health conditions. Ideally, it will take the form of (1) discussions accompanying the reading of scientific articles. Students will prepare by reading the assigned texts in advance; (2) student presentations (paper presentations, analysis or conception of diagrams).

Mode of delivery (face to face, distance learning, hybrid learning)

Face-to-face course


Additional information:

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Course materials and recommended or required readings

Platform(s) used for course materials:
- eCampus


Further information:

Papers at study will be shared on ecampus

Exam(s) in session

Any session

- In-person

written exam AND oral exam

Written work / report


Further information:

Exam(s) in session

Any session

- In-person

oral exam

Written work / report

Other : See description


Further information:

Students may choose between two alternate examination modalities:

EITHER reading report on a specific question. The report will be discussed during the oral examination;

 OR oral examination on the topics discussed and studied during the course.

AI use policy

Written work. - Unless a specific and explicit requirement from the supervisor (which would override this paragraph, if applicable) is given, the critical and reasoned use of AI is permitted, provided that it does not significantly replace the student's own production. If the student uses artificial intelligence, he or she must clearly indicate its use in a dedicated section of the work. In such cases, the student understands that the quality and relevance of their use of AI will be taken into account in the grading.

Oral presentation. - Unless expressly authorized for reasons linked to the nature of the work (with the supervisor's approval) or due to the granting of a special status (e.g., disability accommodations), students may not use AI during the oral presentation of their work - smartphones, smartwatches, and other similar devices may therefore not be used for this purpose.

Work placement(s)

Organisational remarks and main changes to the course

Teaching in Q2, Tue, from 1PM to 3PM. Schedule might be changed per student request.

Contacts

Nicolas Mazziotta, chargé de cours: nicolas.mazziotta@uliege.be

Association of one or more MOOCs