TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	6
NAME OF LECTURER(S)	-
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Reviews literature on the methodological issues of qualitative research and the technical aspects of various approaches to qualitative analysis. 2) Conducts, evaluates, selects and applies the appropriate data from various software programs used in qualitative analysis. 3) Forms the qualitative research method part of his/her research/study according to the framework used in scientific meetings. 4) Matches the appropriate data collection techniques with the right study area and participant profile. 5) Review articles related to the subject, compares the trends over the years and analyzes the contents of current issues.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	The course will provide students with an understanding of the role of qualitative research in the social sciences; knowledge and experience in the use of qualitative methods; an appreciation of their limitations and the social, theoretical and political context of their use. It will also include qualitative data analysis, and writing and presenting qualitative research.
COURSE CONTENTS	WEEK TOPICS 1st Week Course Overview 2nd Week Epistemologies & Study Design 3rd Week Introduction to Coding 4th Week Grounded Theory & Inductive Coding 5th Week Conceptual Framing & Deductive Coding 6th Week Moving Beyond Coding: Matrices & Network Displays 7th Week Trustworthiness 8th Week Mid-Term Exam 9th Week Moving Beyond Coding 10th Week Drawing and Verifying Inferences & Conclusions 11th Week Visualizing Qualitative Data 12th Week Writing about Qualitative Data: Transparent Path of Inference 13th Week Writing about Qualitative Data: Representations of Data 14th Week Evaluating Qualitative research
RECOMENDED OR REQUIRED READING	Miles, M. B., Huberman, A. M. & Saldana, J. (2019). Qualitative data analysis: A methods sourcebook, 4th Edition. Thousand Oaks, CA: Sage
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Practice,Project,Questions/Answers,Other
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Practice 2 10 Project 1 30 Total(%) 70 Contribution of In-term Studies to Overall Grade(%) 70 Contribution of Final Examination to Overall Grade(%) 30 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 1 1 Preparation for Quiz Individual or group work 14 3 42 Preparation for Final exam 1 30 30 Course hours 14 3 42 Preparation for Midterm exam 1 20 20 Laboratory (including preparation) Final exam 1 1 1 Homework Project 1 20 20 Performance Practice 2 10 20 Total Workload 176 Total Workload / 30 5,86 ECTS Credits of the Course 6
LANGUAGE OF INSTRUCTION	English
WORK PLACEMENT(S)	No