1	Course Title:	ECONOMETRICS I
2	Course Code:	EKO3103
3	Type of Course:	Compulsory
4	Level of Course:	First Cycle
5	Year of Study:	3
6	Semester:	5
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. Mustafa Sevüktekin
16	Course Lecturers:	Prof. Dr. Mustafa Sevütekin, Doç.Dr. Kadir Yasin Eryiğit, Doç.Dr. Mehmet Çınar, Doç.Dr. Özer Arabacı
17	Contactinformation of the Course Coordinator:	sevuktekin@uludag.edu.tr Uludağ Universitesi İktisadi ve İdari Bilimler Fakültesi Ekonometri A.B.D. 16059 Görükle/Bursa Türkiye Telephone: +90 224 2941160
18	Website:
19	Objective of the Course:	The course provides an elementary but comprehensive introduction to the practice of econometrics. It deals with applications of statistical methods to the testing and estimation of economic relationships. The main topics covered include review of probability and statistical inference.
20	Contribution of the Course to Professional Development

21

Learning Outcomes:

1 To be able to use basic mathematical tools; 2 To be able to understand basic economic models; 3 To be able to understand probability distribution; 4 To be able to estimate; 5 To be able to understand hypothesis testing; 6 To be able to understand the key concepts of modern econometrics; 7 To be able to understand the importance of data; 8 To be able to use the tools needed to build econometric models; 9 To be able to understand the properties of main types of models; 10 To be able to apply the basis for modelling economic series;

22	Course Content:

Week	Theoretical	Practical
1	Basic mathematical tools
2	Modelling concepts
3	Basic economic models
4	Point and Interval Estimation
5	Properties of Estimators
6	Hypothesis Testing
7	Confidence Intervals (Midterm exam)
8	What is econometrics?
9	Economic Data
10	Econometric model
11	Definition of the Simple Regression Model
12	Ordinary Least Squares (OLS) estimation
13	Inference
14	Applications

23	Textbooks, References and/or Other Materials:	Woodridge, Jeffrey M. (2009), Introductory Econometrics: A modern Approach, Fourth Edition, South-Western College Publishing.
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

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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	40	40
Others	0	0	0
Final Exams	1	50	50
Total WorkLoad			174
Total workload/ 30 hr			5,8
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 5 4 3 5 4 3 5 4 3 5 4 3 LO2 4 3 5 4 3 5 4 3 5 4 3 5 LO3 3 5 4 3 5 4 3 5 4 3 5 4 LO4 3 4 5 3 4 5 3 4 5 3 4 5 LO5 4 5 3 4 5 3 4 5 3 4 5 3 LO6 5 3 4 5 3 4 5 3 4 5 3 4 LO7 5 4 3 5 4 3 5 4 3 5 4 3 LO8 4 3 5 4 3 5 4 3 5 4 3 5 LO9 3 5 4 3 5 4 3 5 4 3 5 4 LO10 3 4 5 3 4 5 3 4 5 3 4 5

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High