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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS ERA 1027 LANGUAGE AND LOGIC ELECTIVE 3 0 0 5

Offered By

Linguistics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR ÖZGÜN KOŞANER

Offered to

Linguistics

Course Objective

Learning Outcomes of the Course Unit

1   1. Distinguish between valid and invalid arguments. 2   2. Know the basic principles of propositional logic. 3   3. Know the basic principles of predicate logic. 4   4. Make linguistic analysis using the language of logic. 5   5. Make analytical analyses of language data.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 A General Introduction to Logic 2 Language, Logic and Mathematics 3 Basic Concepts of Set Theory 4 Relations, Functions and Natural Languages - I 5 Relations, Functions and Natural Languages II 6 Properties of Relations 7 Deductions & Logical Analyses of Sentences 8 Midterm 9 Basic Concepts of Logic and Formal Systems 10 Propositional Logic - I 11 Propositional Logic - II 12 Predicate Logic - I 13 Predicate Logic - II 14 Formal Systems & Modal Logic 15 General Review 16 Final Exam

Recomended or Required Reading

Allwood, J., Andersson, G. G., Andersson, L. G., & Dahl, O. (1977). Logic in linguistics. Cambridge University Press. Partee, B. B., ter Meulen, A. G., & Wall, R. (2012). Mathematical methods in linguistics (Vol. 30). Springer Science & Business Media. Özlem, D. (2004). Mantık: klasik/sembolik mantık, mantık felsefesi. Inkılap Yayınevi.

Planned Learning Activities and Teaching Methods

Lecture, question-answer

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 FIN FINAL EXAM 3 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + FIN * 0.60 4 RST RESIT 5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + RST * 0.60

Further Notes About Assessment Methods

None

Assessment Criteria

Learning outcomes 1-5 will be evaluated via the questions asked in the mid-term and final exams.

Language of Instruction

English

Course Policies and Rules

70% class attendance is obligatory.

Contact Details for the Lecturer(s)

murat.ozgen@deu.edu.tr

Office Hours

Thursday 15.00-17.00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 2 28 Preparations before/after weekly lectures 13 5 65 Preparation for midterm exam 1 14 14 Preparation for final exam 1 16 16 Midterm 1 2 2 Final 1 2 2 TOTAL WORKLOAD (hours) 127

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 PO.14 LO.1 4 2 5 LO.2 5 3 LO.3 5 3 LO.4 5 2 5 LO.5 5 5