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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS ERA 4078 FIELD STUDIES IN NEUROLINGUISTICS AND PSYCHOLINGUISTICS ELECTIVE 3 0 0 6

Offered By

Linguistics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR ÖZGÜN KOŞANER

Offered to

Linguistics

Course Objective

The aim of this course is to teach how to collect data and develop the right study design in order to analyze the linguistic features of human languages.

Learning Outcomes of the Course Unit

1   1 analyze the structural differences between languages. 2   2 make crosslinguistic micro-level linguistic analysis. 3   3 collect verbal and written data on a specific subject from the target language. 4   4 interpret the target language data within the framework of a given grammatical subject. 5   5 present a typological classification based on the available data on the target language.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Basic Concepts of Field Work 2 General Structure of the Language 3 Methods of Verbal Data Collection 4 Merhods of Written Data Collection 5 Application: Determining the Target Language 6 Application Determining the Target Grammatical Subject 7 Application: Determining the Target Language 8 Midterm 9 Application: Collection of Verbal or Written Data 10 Application: Compiling the Data 11 Application: Classifying the Data 12 Application: Transcribing the Verbal Data 13 Application: Analyzing the Data 14 Application: Discussing the Data 15 Application: Discussing the Data 16 Final Examination

Recomended or Required Reading

1. Milroy, L. (1987) Observing and Analysing Natural Language. Basil Blackwell. 2. Samarin,W. J. (1967) Field Linguistics.Holt, Rinehart and Winston. 3. Langacker, R. W. ( 1972) Fundamentals of Linguistic Analysis. Harcourt, Brace, Jovanovich.

Planned Learning Activities and Teaching Methods

1. Lecture 2. Question-answer 3. Practicing with data

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 3 42 Preparations before/after weekly lectures 12 7 84 Preparation for midterm exam 1 9 9 Preparation for final exam 1 12 12 Midterm 1 3 3 Final 1 3 3 TOTAL WORKLOAD (hours) 153

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 5 5 5 5 5 5 5 LO.2 5 5 5 5 5 5 5 LO.3 5 5 5 5 5 5 5 LO.4 5 5 5 5 5 5 5 LO.5 5 5 5 5 5 5 5