1	Course Title:	APPLIED QUANTITATIVE METHODS FOR AGRICULTURAL ECONOMICS
2	Course Code:	TRE5313
3	Type of Course:	Optional
4	Level of Course:	Second Cycle
5	Year of Study:	1
6	Semester:	1
7	ECTS Credits Allocated:	6
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. HASAN VURAL
16	Course Lecturers:	-
17	Contactinformation of the Course Coordinator:	hvural@uludag.edu.tr Tel: 2941589
18	Website:
19	Objective of the Course:	In this course, especially multivariate statistical methods and simulation analysis of data analysis of the approach is mainly processed.
20	Contribution of the Course to Professional Development

21

Learning Outcomes:

1 Understanding of statistical methods; 2 To understand the importance of data analysis; 3 Application of statistical methods; 4 Recognizing the importance of variance analysis ; 5 Recovery methods for obtaining agricultural data; 6 To determine key points in making survey; 7 To make solutions with computer-aided ; 8 Interpretion the analysis results; 9 Planning the research and model ; 10 To practice data analysis of the research ;

22	Course Content:

Week	Theoretical	Practical
1	Introduction to basic statistical methods
2	Agricultural Data collection and compilation
3	Sampling methods
4	Regression analysis
5	Statistical tests
6	Control hypothesis in statistics
7	Economy model types and model building
8	Long-term trends and demand forecasting
9	Long-term trends and demand forecasting
10	Factor analysis method
11	Discriminant analysis method
12	Cluster analysis method
13	Canonical analysis method
14	Application the statistical process and quality control

23	Textbooks, References and/or Other Materials:	Hasan Vural, 2012. Tarım ve Gıda Ekonomisi İstatistiği, Uludağ Üniv. Zir. Fak. Ders Notu, No.107, Bursa. Kurtuluş, K., 1992. Pazarlama Araştırmaları, 4. Baskı, Türk Dünyası araştırmalrı Vakfı, İstanbul. Johnson, R.A., D.W.Wicherin, 1992. Applied Multivariate Statistical Analysis, 3.rd, Prentice Hall Inc. Englewood Cliffs.N.J. 07632, Londra. Hasan Vural, Tarım ve Gıda Ekonomisi İstatistiği, U.Ü.zİRAAT FAK. DERS NOTLARI, nO.107, BURSA, 2012.
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	1	30
Quiz	0	0
Homeworks, Performances	2	20
Final Exam	1	50
Total	4	100
Contribution of Term (Year) Learning Activities to Success Grade		50
Contribution of Final Exam to Success Grade		50
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	4	56
Homeworks, Performances	2	20	40
Projects	1	8	8
Field Studies	0	0	0
Midtermexams	1	15	15
Others	0	0	0
Final Exams	1	15	15
Total WorkLoad			191
Total workload/ 30 hr			5,87
ECTS Credit of the Course			6

26	CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12 LO1 0 0 4 4 5 5 5 5 5 5 5 5 LO2 0 0 4 4 5 5 5 0 5 5 5 5 LO3 0 0 5 5 4 5 2 0 5 0 0 0 LO4 0 0 5 5 4 5 0 0 4 0 0 0 LO5 0 0 4 4 4 5 0 0 4 0 0 0 LO6 0 0 4 4 4 5 0 0 4 0 0 0 LO7 0 0 0 0 0 5 5 0 4 5 0 0 LO8 0 0 4 4 4 5 5 0 5 5 0 0 LO9 0 0 4 4 4 5 5 0 5 0 0 0 LO10 0 0 4 3 5 5 5 0 5 0 0 0

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High