TEXTLINGUISTICS
| Title | ΚΕΙΜΕΝΟΓΛΩΣΣΟΛΟΓΙΑ / TEXTLINGUISTICS |
| Code | ΓΛΩ379 |
| Faculty | Philosophy |
| School | Philology |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Winter/Spring |
| Common | Yes |
| Status | Active |
| Course ID | 280010975 |
Programme of Study: UPS School of Philology 2015
Registered students: 31
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Glōssologías | Mandatory Elective Courses | Winter/Spring | - | 6 |
| Academic Year | 2020 – 2021 |
| Class Period | Spring |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Total Hours | 39 |
| Class ID | 600178468
|
Course Type 2016-2020
- Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600178468
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=9061
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
Learning Outcomes
Students will be able to
• characterize the different text types with their characteristics
• describe textual/discourse relations
• use semantic and pragmatic theories for discourse analysis
• learn how to analyze data using descriptive statistics as well as hypothesis testing related to one mean.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Make decisions
- Work in teams
Course Content (Syllabus)
The aim of the course is to present the basic concepts of textlinguistics. Initially, basic definitions in the field of textlinguistics will be discussed in class such as:
• what criteria define the textual unit,
• what is the connection between text and context.
Moreover, basic text classification issues will be analyzed, such as coherence and cohesion in different genres. Various theories of discourse analysis will be presented to the students. Last but not least, students will learn how to analyze their data statistically, using descriptive statistics and conducting hypothesis testing related to one mean.
Keywords
textuality, discourse type, discourse relations, coherence, functional/formal textlinguistics, descriptive statistics, hypothesis testing
Educational Material Types
- Notes
- Slide presentations
- Book
- Scientific papers
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
- Use of ICT in Communication with Students
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 28 | 1 | ✓ | ✓ | ✓ |
| Laboratory Work | 84 | 3 | ✓ | ✓ | ✓ |
| Written assigments | 28 | 1 | ✓ | ✓ | |
| Exams | 28 | 1 | ✓ | ✓ | |
| Total | 168 | 6 |
Student Assessment
Student Assessment methods
- Written Exam with Short Answer Questions (Summative)
- Written Assignment (Formative)
- Written Exam with Problem Solving (Formative, Summative)
- Labortatory Assignment (Formative)
Bibliography
Course Bibliography (Eudoxus)
Τάντος, Α., Μαρκαντωνάτου, Σ., Αναστασιάδη-Συμεωνίδη, Ά., Κυριακοπούλου, Π., 2015. Υπολογιστική γλωσσολογία. [ηλεκτρ. βιβλ.] Αθήνα:Σύνδεσμος Ελληνικών Ακαδημαϊκών Βιβλιοθηκών. Διαθέσιμο στο: http://hdl.handle.net/11419/2205
Additional bibliography for study
Γεψργακοπούλου Α. & Δ. Γούτσος (2011). Κείμενο και Επικοινωνία. Αθήνα: Πατάκης
Adam, J.-M. (1999). Τα κείμενα: τύποι και πρότυπα. Αθήνα: Πατάκης
(μτφ. Γ. Παρίσης).
Αρχάκης, Α. (2005). Γλωσσική διδασκαλία και σύσταση των κειμένων.
Αθήνα: Πατάκης.
Last Update
05-02-2020
