COURSE SYLLABUS

CURRENT ISSUES

1	Course Title:	CURRENT ISSUES
2	Course Code:	EKO4003
3	Type of Course:	Compulsory
4	Level of Course:	First Cycle
5	Year of Study:	4
6	Semester:	7
7	ECTS Credits Allocated:	5
8	Theoretical (hour/week):	2
9	Practice (hour/week) :	2
10	Laboratory (hour/week) :	0
11	Prerequisites:	No
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Prof. Dr. Mustafa Sevüktekin
16	Course Lecturers:	Prof. Dr. Mustafa Sevüktekin, Prof. Dr. Erkan Işığıçok, Prof. Dr. Ayşe Oğuzlar, Prof. Dr. Nuran Bayram, Prof. Dr. Kadir Yasin Eryiğit, Prof. Dr. Mehmet Çınar, Doç. Dr. Sevda Gürsakal, Doç Dr. Özer Arabacı, Doç. Dr. Berna Aydın, Doç. Dr. Arzu Eren Şenaras, Doç. Dr. Vesile Sinem Arıkan Kargı, Doç. Dr. Selim Tüzüntürk, Dr. Öğr. Üyesi Dilek Murat
17	Contactinformation of the Course Coordinator:	sevuktekin@uludag.edu.tr 02242941123 Uludağ Üniversitesi İktisadi ve İdari Bilimler Fakültesi A Blok 16059 Nilüfer/Bursa
18	Website:
19	Objective of the Course:	To provide students with the neessary skills and knowledge for conducting research in different topics of the field of econometry including data collection, data analysis, evaluation of the research findings and the presentation of the findings in a systematic way.
20	Contribution of the Course to Professional Development

Learning Outcomes:

1	To be able to having the ability to collect data;
2	To be able to the data to apply the appropriate solution techniques;
3	To be able to creating and testing hypotheses related to these studies to be capable of making.;
4	To be able to the nominal and ordinal relationships between the variables measured at the level of measurement and apply to have the ability to put forward;
5	To be able to having the ability to test the suitability of the theoretical distributions of variables.;
6	To be able to degree studies to reveal the relationships between variables, which will be held.;
7	To be able to studies do have the ability to reveal patterns among the variables of functional;
8	To be able to aplications and evaluation of the survey ;

22	Course Content:

Week	Theoretical	Practical
1	Data, Data Types, Scales
2	Aplications of graphics by using SPSS and MINITAB
3	Aplications of Descriptive statistics by SPSS and MINITAB.
4	Data Genaration by using MINITAB.
5	Normality Analysis and aplications by using SPSS
6	One Way and Two Way Anova , Aplications by using SPSS.
7	Parametric Hypothesis Tests.
8	Aplications of Parametric Hypothesis by using PSS and MINITAB
9	Nonparametric Hypothesis Tests
10	Aplications of NonParametric Hypothesis Tests by using SPSS and MINITAB
11	Simple and Multiple regression
12	Aplications of Simple and Multiple Regression by using SPSS and MINITAB
13	Survey Evaluation
14	Aplications of Survey Evaluation by using SPSS and MINITAB

23	Textbooks, References and/or Other Materials:	1.Nuran Bayram, Sosyal Bilimlerde SPSS İle Veri Analizi, Ezgi Kitabevi, 2009. 2.W. LawrenceNeuman, Social Research Methods: Qualitative and Quantitative Approaches. Boston: Allyn and Bacon, 2000. 3. Ayşe Oğuzlar, İstatistiksel Veri Analizi 1, Ezgi Kitabevi, 2007. 4.Zeynel Dinler, Bilimsel Araştırma ve e-Kaynaklar, 7. basım, Bursa: Ekin Yayınevi, 2012
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	1	40
Quiz	0	0
Homeworks, Performances	0	0
Final Exam	1	60
Total	2	100
Contribution of Term (Year) Learning Activities to Success Grade		40
Contribution of Final Exam to Success Grade		60
Total		100
Measurement and Evaluation Techniques Used in the Course
Information

ECTS / WORK LOAD TABLE

CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High