1	Course Title:	STATISTICAL PACKAGES
2	Course Code:	EKO3203
3	Type of Course:	Optional
4	Level of Course:	First Cycle
5	Year of Study:	3
6	Semester:	5
7	ECTS Credits Allocated:	5
8	Theoretical (hour/week):	3
9	Practice (hour/week) :	0
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. ERKAN IŞIGIÇOK
16	Course Lecturers:	Prof. Dr. Erkan IŞIĞIÇOK, Yrd. Doç. Dr. Selim TÜZÜNTÜRK
17	Contactinformation of the Course Coordinator:	E-posta : eris@uludag.edu.tr Telefon: 0 224 29 41101 Adres: Uludağ Üniversitesi, İktisadi ve İdari Bilimler Fakültesi, Ekonometri Bölümü,16059, Görükle/Bursa.
18	Website:
19	Objective of the Course:	The aim of the course is to inform about the process to be followed during an investigation, show how to analyze data using statistical package programs of can be obtained data.
20	Contribution of the Course to Professional Development

21

Learning Outcomes:

1 To be able to define a research problem and hypotheses. ; 2 To be able to explain the relationships between scales and data types.; 3 To be able to data entry and save to statistical package programs.; 4 To be able to calculate the descriptive statistics in statistical package program.; 5 To be able to create tables and draw graphs ata in statistical package programs for numeric data.; 6 To be able to research relationships between variables in statistical package programs. ; 7 To be able to analysis of data in statistical package programs.; 8 To be able to have knowledge on understanding and interpreting outcomes of statistical package programs.;

22	Course Content:

Week	Theoretical	Practical
1	Basic Statistics
2	Data entry and saving to SPSS program
3	Data entry and saving to Minitab program
4	Descriptive statistics applications in SPSS program
5	Interpretation of descriptive statistics findings obtained from SPSS
6	Descriptive statistics applications in Minitab program
7	Interpretation of descriptive statistics findings obtained from Minitab
8	Inferential statistics applications in SPSS program
9	Interpretation of inferential statistics findings obtained from SPSS
10	Inferential statistics applications in Minitab program
11	Interpretation of inferential statistics findings obtained from Minitab
12	Comparative analysis of SPSS and Minitab programs
13	Advanced statistical applications and interpretation of findings in SPSS
14	Advanced statistical applications and interpretation of findings in Minitab

23	Textbooks, References and/or Other Materials:	1. Erkan IŞIĞIÇOK, Altı Sigma Kara Kuşaklar İçin Hipotez Testleri Yol Haritası, Marmara Kitabevi, Genişletilmiş 2. Baskı 2011, Bursa. 2. Nuran BAYRAM, SPSS ile Veri Analizi, Ezgi Kitabevi, 2009, Bursa. 3. Ayşe OĞUZLAR, İstatistiksel Veri Analizi 1, Ezgi Kitabevi, 2007, Bursa.
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

25

ECTS / WORK LOAD TABLE

Activites	NUMBER	TIME [Hour]	Total WorkLoad [Hour]
Theoretical	14	3	42
Practicals/Labs	0	0	0
Self Study and Preparation	14	3	42
Homeworks, Performances	0	0	0
Projects	0	0	0
Field Studies	0	0	0
Midtermexams	1	30	30
Others	0	0	0
Final Exams	1	40	40
Total WorkLoad			154
Total workload/ 30 hr			5,13
ECTS Credit of the Course			5

26	CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12 LO1 2 3 2 2 1 1 3 3 5 4 4 1 LO2 2 3 3 2 1 1 2 2 4 2 4 2 LO3 2 2 2 3 1 1 3 4 5 2 5 2 LO4 2 1 2 3 1 1 3 4 4 2 5 1 LO5 1 2 2 3 1 1 3 4 4 2 5 2 LO6 2 1 2 3 1 1 3 4 4 2 4 2 LO7 1 2 2 3 1 1 3 5 5 1 4 1 LO8 2 1 3 3 2 1 3 4 5 2 4 2

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High