1	Course Title:	APPLIED ECONOMETRICS
2	Course Code:	EKO4113
3	Type of Course:	Optional
4	Level of Course:	First Cycle
5	Year of Study:	4
6	Semester:	7
7	ECTS Credits Allocated:	5
8	Theoretical (hour/week):	3
9	Practice (hour/week) :	0
10	Laboratory (hour/week) :	0
11	Prerequisites:	None
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Prof. Dr. Kadir Yasin Eryiğit
16	Course Lecturers:	Doç. Dr. Özer ARABACI
17	Contactinformation of the Course Coordinator:	Adres: Uludağ Üniversitesi, İktisadi ve İdari Bilimler Fakültesi, Ekonometri Bölümü,16059, Görükle/Bursa. E-posta : kyeryigit@uludag.edu.tr Telefon: 02242941130
18	Website:
19	Objective of the Course:	The students should get the skills of construction and development of multiple regression models, get acquainted with some non-linear models and special methods of econometric analysis and estimation, understanding the area of their application in economics.
20	Contribution of the Course to Professional Development	Be equipped with advanced theoretical and applied knowledge and assess an organization from different perspectives. Take responsibilities as a team member when dealing with issues and problems encountered in practice. Notice and make use of business opportunities in the field of economy. Effective use information and communication technologies

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Learning Outcomes:

1 To be able to understand basic skills of econometric modelling;; 2 To be able to understand econometric methods;; 3 To be able to use Techniques to select econometric models;; 4 To be able to analyse estimation results;; 5 To be able to understand The properties of main types of models;; 6 To be able to analyse specification forms of regression;;

22	Course Content:

Week	Theoretical	Practical
1	Linear Regression Model
2	Function Structure of Regression Models
3	Qualitative Explicit Variable Regression Models
4	Multiple Linear Relations
5	Variant Variance
6	Autocorrelation
7	Specification Errors
8	Linear Probability Model
9	Logit and Probit Models
10	Multi-Template Regression Models
11	Sequential Regression Models
12	Limited Dependent Regression
13	Modeling Count Data
14	Poisson and Negative Binom Regression Models

23	Textbooks, References and/or Other Materials:	Econometrics by Example by Damodar Gujarati
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	classic exam
Information	This course is evaluated with a relative evaluation system.

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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	26	26
Others	0	0	0
Final Exams	1	40	40
Total WorkLoad			176
Total workload/ 30 hr			5
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 4 4 3 4 4 3 4 3 4 5 5 4 LO2 4 4 5 3 4 5 3 4 5 5 3 4 LO3 3 3 4 3 4 3 5 3 4 3 4 3 LO4 5 4 3 2 5 3 5 3 4 5 3 4 LO5 3 3 4 4 3 4 5 3 3 3 4 3 LO6 3 3 4 5 3 5 4 3 4 5 3 4

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High