TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	2
NAME OF LECTURER(S)	-
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Define research methods. 2) Define data and data types. 3) Define data collection methods and use them. 4) Conduct data analysis using SPSS.
MODE OF DELIVERY
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
COURSE DEFINITION	Basic concepts, qualitative and quantitative methods, design of research and data collection methods, data analysis with SPSS, graphical data analysis, data distribution, data reliability, the analysis of cross-classified tables, mean statistics, hypothesis tests and correlation analysis.
COURSE CONTENTS	WEEK TOPICS 1st Week Basic concepts 2nd Week Qualitative and quantitative methods 3rd Week Design of research and data collection methods 4th Week Design of research and data collection methods 5th Week Data analysis with SPSS 6th Week ata analysis with SPSS 7th Week Graphical data analysis 8th Week MIDTERM 9th Week Data distribution, data reliability, the analysis of cross-classified tables 10th Week Data distribution, data reliability, the analysis of cross-classified tables 11th Week Mean statistics 12th Week Hypothesis tests 13th Week Correlation analysis
RECOMENDED OR REQUIRED READING	A. Field. Discovering statistics using SPSS. 3. Baskı, Sage publications, 2009. J. Pallant. SPSS Survival Manual, 2002.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
ASSESSMENT METHODS AND CRITERIA
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 2 2 Preparation for Quiz 0 0 0 Individual or group work 0 0 0 Preparation for Final exam 1 9 9 Course hours 14 3 42 Preparation for Midterm exam 1 5 5 Laboratory (including preparation) 0 0 0 Final exam 1 2 2 Homework 0 0 0 Total Workload 60 Total Workload / 30 2 ECTS Credits of the Course 2
LANGUAGE OF INSTRUCTION
WORK PLACEMENT(S)	No