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  Course Description
Course Name : Econometrics

Course Code : EMT 701

Course Type : Optional

Level of Course : Second Cycle

Year of Study : 1

Course Semester : Spring (16 Weeks)

ECTS : 6

Name of Lecturer(s) : Prof.Dr. MURAT DOĞANLAR

Learning Outcomes of the Course : Formulates economics mathematically.
Solves econometric models.
Uses the econometric methodology with a comparison of the observations of economic theory and using the results.

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : The aim of the course is to give information about basic econometrics to students which will help them both in their academic career and professional life.

Course Contents : This course covers Linear Regression Models, Assumptions in Linear Regression Models and Diagnostic Tests, Models with two-variables, Models with multi-variables, Time-Series Modelling, Unit-Root and Definitons, Unit Root Tests, Unit Root Tests with Structural Break, Modelling of Long-Term Correlations, Error Correction Models, Introduction to Econometric Application

Language of Instruction : Turkish

Work Place : Classroom


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Linear Regression Models Course book Lecture, Problem Solving Session
2 Assumptions in Linear Regression Models and Diagnostic Tests Course book Lecture, Problem Solving Session
3 Models with two-variables Course book Lecture, Problem Solving Session
4 Models with multi-variables Course book Lecture, Problem Solving Session
5 Time-Series Modelling Course book Lecture, Problem Solving Session
6 Time-Series Modelling Course book Lecture, Problem Solving Session
7 Unit-Root and Definitons Course book Lecture, Problem Solving Session
8 Mid-term exam
9 Unit Root Tests Course book Lecture, Problem Solving Session
10 Unit Root Tests with Structural Break Course book Lecture, Problem Solving Session
11 Modelling of Long-Term Correlations Course book Lecture, Problem Solving Session
12 Modelling of Long-Term Correlations Course book Lecture, Problem Solving Session
13 Error Correction Models Course book Lecture, Problem Solving Session
14 Error Correction Models, Introduction to Econometric Application Course book Lecture, Problem Solving Session
15 Econometric Application and General Review Course book Lecture, Problem Solving Session
16/17 Final exam


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  Introductory Econometrics for Finance, Chris Brooks, 2008
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 100
    Homeworks/Projects/Others 0 0
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Specifies the role of the market economy, the price advantage of the event. 2
2 Specifies the role of the price advantage in market economy 2
3 Applies the methods of economic analysis. 5
4 Takes responsibility individually and / or in a team,leads a team and works effectively 1
5 Speaks Turkish, and at least one other foreign language in accordance with the requirements of academic and business life. 1
6 Builds, decodes and interprets models by using quantitative and qualitative techniques 5
7 Questions traditional approaches, implementations, and methods ;develops and practises alternative study programs when required 3
8 Acquires the ability of analyzing in the conceptual level ,compares interprets, evaluates and synthesizes ideas in order to develop solutions to the problems. 4
9 Explains the importance of demand and supply and the conditions of the market economy to work better 4
10 Faces with challenges, produces a numerical and policy options. 5
11 Uses the theory of economics in analyzing the economic events 5
12 With the awareness of the necessity of life-long learning, follows the latest developments about his field and improves himself 1
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 16 3 48
    Out of Class Study (Preliminary Work, Practice) 16 6 96
Assesment Related Works
    Homeworks, Projects, Others 0 0 0
    Mid-term Exams (Written, Oral, etc.) 1 1 1
    Final Exam 1 2 2
Total Workload: 147
Total Workload / 25 (h): 5.88
ECTS Credit: 6