2405 ECONOMETRICS

GENERAL INFORMATION
This programme contains Econometrics, Statistics and Operation Research field of department. Econometrics research field deals with the analysis of economic data, Statistics research field deals with statistical methods and operation research field deals with the network optimization and simulation problems .

Objective
Econometrics program, students will graduate from high-level managerial positions in public and private sectors, aimed to provide employment. Alumni, economics, statistics, computer software, will have the relevant theoretical and practical knowledge.


Admission Requirements
Students must have a undergraduate diploma with at least a 2,5 grade point average, a minimum score of 60 from ALES, and a minimum score of 40 from KPDS/ÜDS.

Graduation Requirements
Complete lecture term with 70 (3.00) degree and achieve master's (postgraduate) thesis

Career Opportunties
Public institutions, banking sector, Research Companies, research and planning departments of businesses, and financial sector (stock exchange, securities)

Qualification Awarded
Econometrıcs

Level of Qualification
Second Cycle (Master's Degree)

Recognition of Prior Learning
Recognition of previous structured lectures in Turkish Higher Education Institutions, transitions in vertical, horizontal and university are realized within the scope of the "Higher Education Regulations", "REGULATION BETWEEN THE BACHELORS AND GRADUATE DEGREE PROGRAMS, ON HIGHER EDUCATION AND TRANSITION BETWEEN DOUBLE MAJOR DALL, SIDE DALL AND CREDIT TRANSFER STANDARDS

Qualification Requirements and Regulations
Complete lecture term with 70 (3.00) degree and achieve master's (postgraduate) thesis

Access to Further Studies
May apply to PhD programs

Mode of Study
Full Time

Examination Regulations, Assessment and Grading
Measurement and evaluation methods that is applied for each course, is detailed in "Course Structure&ECTS Credits".

Contact (Programme Director or Equivalent)
PositionName SurnamePhoneFaxE-Mail
 Asts. Prof. Dr. AYGÜL ANAVATAN+90 258 296 2762 aanavatan@pau.edu.tr


PROGRAM LEARNING OUTCOMES
1.Economics, Econometrics and theories of knowledge about the basic concepts and discusses the basic economic problems in the theoretical framework.
2Theoretical innovations in the field of econometrics and the economics will follow
3Statistical tests and is interpreted to apply to the problems encountered in daily life.
4Under the constraint of profit maximization, cost minimization, transportation problems, and so on. theoretical issues are real problems.
5Economic issues related to data collection, classification, and will be analyzed.
6Some of the econometric and statistical software programs are used.
7Awareness of professional and ethical responsibility and will have the ability
8Economic model is created, you can estimate the model using econometric techniques and the results interpreted.
9Disciplinary and interdisciplinary team work is done
10Turkey's economy growth, inflation, unemployment, interest rates, exchange rates, foreign investment and foreign trade developments are explained.
11Research departments of public and private organizations are trying to macro and micro economics, international economics and operations research is practice-oriented fields
12Way to increase efficiency of enterprises and organizations to make plans, work would have the potential to manage and update intervals.
TEACHING & LEARNING METHODS
NameComments
DemonstrationIn this method the teacher demonstrates, an experiment, test, in front of the class. And then assists students to do so too. Students learn not only by just by looking and watching, but also by taking part and participating. This method is usually applied when teaching skills.
Case Study Case studies require students to actively participate while using an analytical perspective to think about real and problematic events. The problematic event may be real or very close to real life. Student(s) working on the documents that include the necessary data and descriptions of the
Problem SolvingThe name given to any doubt or ambiguity that arises is, a problem. Problems which usually have a role in human life, that have preventing or annoying aspects are solved by considering the stages of scientific methods. (a) Problems are determined. (b) The problem is identified. 
Cooperative LearningCooperative Learning is; a kind of learning that is based on the students working together for a common purpose. Children with different skills come together in heterogeneous groups to learn by helping each other. Students gain experiences such as becoming aware of the unity
Concept MapsExpress a relation network, based on figures, graphics and words propositions and principles. It enables visual learning. These steps are followed: 1) Concepts about the subjects to be taught are listed. 2) The name of the subject that will be taught is written at the top.3) Relations between
Meaning Analysis ChartsThe Meaning Analysis Charts is a method that allows students to participate actively in class. Students learn by working on a two-dimensional table. For example, if in one dimension there are animals and in the other dimension food is shown, students have the opportunity to learn by
Concept CaricaturesCreates opportunities to learn and discuss by caricaturizing and representing information about concepts in a thought-provoking way that can lead to debates. Generally Concepts Caricatures draw attention and create opportunities to think by giving information in a contradicting
Cooperative LearningCooperative Learning is; a kind of learning that is based on students working together for a common purpose. Children with different skills come together in heterogeneous groups and learn by helping each other. Students gain experiences such as becoming aware of the unity within the
ProjectProject-based learning is a learning way which leads students to deal with interesting problems and to create extraordinary products at the end of this. It allows students to use their creativity and it requires them to look at events perceptively.
Programmed InstructionAt its basis lays the Individualization of instruction. Programmed instruction is an individual teaching technique, guided by the reinforcement principles of Skinner. Its Basic principles are: the principle of small steps, the principle of effective participation, the achievement principle, the
Six Hat ThinkingThe Six hat thinking technique, is based on looking at a topic from different angles. Individuals learn to, develop the ability to face events from different points of view and to improve their empathizing skills. Because thoughts are looked upon from of every aspect, issues raised can be
Brainstorming Brainstorming is a group work process that has been regulated to reach solutions for a problem without limitations or evaluation. The purpose of brainstorming is to make it easier for students to express themselves and to generate ideas. This technique is used as a high-level discussion

Learning Outcomes - NQF-HETR Relation
NQF-HETR CategoryNQF-HETR Sub-CategoryNQF-HETRLearning Outcomes
INFORMATION  01
INFORMATION  02
SKILLS  01
SKILLS  02
SKILLS  03
COMPETENCIESCommunication and Social Competence 01
COMPETENCIESCommunication and Social Competence 02
COMPETENCIESCommunication and Social Competence 03
COMPETENCIESCommunication and Social Competence 04
COMPETENCIESCompetence to Work Independently and Take Responsibility 01
COMPETENCIESCompetence to Work Independently and Take Responsibility 02
COMPETENCIESCompetence to Work Independently and Take Responsibility 03
COMPETENCIESField Specific Competencies 01
COMPETENCIESField Specific Competencies 02
COMPETENCIESField Specific Competencies 03
COMPETENCIESLearning Competence 01
    

Learning Outcomes - Fields of Education Relation (Academic)
FOE CategoryFOE Sub-CategoryFOELearning Outcomes
INFORMATION  01
INFORMATION  02
SKILLS  01
SKILLS  02
SKILLS  03
COMPETENCIESCommunication and Social Competence 01
COMPETENCIESCommunication and Social Competence 02
COMPETENCIESCommunication and Social Competence 03
COMPETENCIESCommunication and Social Competence 04
COMPETENCIESCompetence to Work Independently and Take Responsibility 01
COMPETENCIESCompetence to Work Independently and Take Responsibility 02
COMPETENCIESCompetence to Work Independently and Take Responsibility 03
COMPETENCIESField Specific Competencies 01
COMPETENCIESField Specific Competencies 02
COMPETENCIESField Specific Competencies 03
COMPETENCIESField Specific Competencies 04
COMPETENCIESLearning Competence 01
    

Learning Outcomes - Fields of Education Relation (Vocational)
No Records to Display

COURS STRUCTURE & ECTS CREDITS
Year :
1st Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
EKOM 501 ECONOMETRICS I 3+0 7,5 Compulsory
- Elective 3+0 7,5 Elective
- Elective 3+0 7,5 Elective
- Elective 3+0 7,5 Elective
  Total 30  
1st Semester Elective Groups : Elective
Course CodeCourse TitleL+P HourECTSCourse Type
EKOM 503 APPLIED MACRO ECONOMICS I 3+07,5Elective
EKOM 505 APPLIED MICRO ECONOMICS I 3+07,5Elective
EKOM 507 MATHEMATICAL STATISTICS 3+07,5Elective
EKOM 509 ADVANCED ECONOMETRICS AND STATISTICS PROGRAMS I 3+07,5Elective
EKOM 511 PROBABILITY PROCESS 3+07,5Elective
EKOM 513 LINEAR TIME SERIES 3+07,5Elective
EKOM 517 OPTIMIZATION 3+07,5Elective
EKOM 519 OPERATIONS RESEARCH I 3+07,5Elective
EKOM 521 MULTIVARIATE STATISTICAL METHODS I 3+07,5Elective
EKOM 523 RISK ANALYSIS 3+07,5Elective
EKOM 525 CATEGORIC DATA ANALYSIS 3+07,5Elective
EKOM 527 SAMPLING THEORY 3+07,5Elective
EKOM 529 LINEAR MODELS 5+07,5Elective
EKOM 531 STATISTICAL METHODS FOR SOCIAL SCIENCES 3+07,5Elective
EKOM 535 RESEARCH METHODS 3+07,5Elective
EKOM 539 FINANCIAL ECONOMETRICS I 3+07,5Elective
EKOM 541 PANEL DATA ANALYSIS I 3+07,5Elective

2nd Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
EKOM 502 ECONOMETRICS II 3+0 7,5 Compulsory
EKOM 550 SEMINAR 0+2 7,5 Compulsory
- Elective 3+0 7,5 Elective
- Elective 3+0 7,5 Elective
  Total 30  
2nd Semester Elective Groups : Elective
Course CodeCourse TitleL+P HourECTSCourse Type
EKOM 504 APPLIED MACRO ECONOMICS II 3+07,5Elective
EKOM 506 APPLIED MICRO ECONOMICS II 3+07,5Elective
EKOM 508 STATISTICAL METHODS 3+07,5Elective
EKOM 510 ADVANCED ECONOMETRICS AND STATISTICS PROGRAMS II 3+07,5Elective
EKOM 512 ECONOMETRICS MODELS 3+07,5Elective
EKOM 514 NONLINEAR TIME SERIES 3+07,5Elective
EKOM 516 FINANCIAL ECONOMETRICS 3+07,5Elective
EKOM 518 MICROECONOMETRICS 3+07,5Elective
EKOM 520 PANEL DATA ECONOMETRICS 3+07,5Elective
EKOM 522 RESEARCH OPERATION II 3+07,5Elective
EKOM 524 NONPARAMETRIC ECONOMETRICS 3+07,5Elective
EKOM 526 CHAOTİC TİME SERİES ANALYSİS 3+07,5Elective
EKOM 528 MULTIVARIATE STATISTICAL METHODS II 3+07,5Elective
EKOM 530 VARIANCE ANALYSIS AND EXPERIMANTAL DESIGN 3+07,5Elective
EKOM 532 QUANTITATIVE ANALYSIS 3+07,5Elective
EKOM 535 RESEARCH METHODS 3+07,5Elective
EKOM 536 SPATIAL ECONOMETRICS 5+07,5Elective
EKOM 538 NONLINEAR PROGRAMMING 5+07,5Elective
EKOM 540 FINANCIAL ECONOMETRICS II 3+07,5Elective
EKOM 542 PANEL DATA ANALYSIS II 3+07,5Elective

3rd Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
EKOM 500 MASTER'S THESIS 0+0 20 Compulsory
EKOM 700 FIELD OF STUDY COURSE 6+0 10 Compulsory
  Total 30  

4th Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
EKOM 500 MASTER'S THESIS 0+0 20 Compulsory
EKOM 700 FIELD OF STUDY COURSE 6+0 10 Compulsory
  Total 30  


COURSE & PROGRAM LEARNING OUTCOMES
Year : Compulsory Courses
Course TitleC/EPO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
ECONOMETRICS IC            
ECONOMETRICS IIC            
EXPERTISE FIELD COURSESC            
FIELD OF STUDY COURSEC            
MASTER'S THESISC            
SEMINARC            
Click to add elective courses...
Elective Courses
Course TitleC/EPO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
NONLINEAR PROGRAMMING E            
RESEARCH METHODS E            
ADVANCED ECONOMETRICS AND STATISTICS PROGRAMS IE            
ADVANCED ECONOMETRICS AND STATISTICS PROGRAMS IIE            
APPLIED MACRO ECONOMICS IE            
APPLIED MACRO ECONOMICS IIE            
APPLIED MICRO ECONOMICS IE            
APPLIED MICRO ECONOMICS IIE            
CATEGORIC DATA ANALYSISE            
CHAOTİC TİME SERİES ANALYSİSE            
ECONOMETRICS MODELSE            
FINANCIAL ECONOMETRICSE            
FINANCIAL ECONOMETRICS IE            
FINANCIAL ECONOMETRICS IIE            
LINEAR MODELSE            
LINEAR TIME SERIESE            
MATHEMATICAL STATISTICSE            
MICROECONOMETRICSE            
MULTIVARIATE STATISTICAL METHODS IE            
MULTIVARIATE STATISTICAL METHODS IIE            
NONLINEAR TIME SERIESE            
NONPARAMETRIC ECONOMETRICSE            
OPERATIONS RESEARCH IE            
OPTIMIZATIONE            
PANEL DATA ANALYSIS IE            
PANEL DATA ANALYSIS IIE            
PANEL DATA ECONOMETRICSE            
PROBABILITY PROCESSE            
QUANTITATIVE ANALYSISE            
RESEARCH OPERATION IIE            
RISK ANALYSISE            
SAMPLING THEORYE            
SPATIAL ECONOMETRICSE            
STATISTICAL METHODSE            
STATISTICAL METHODS FOR SOCIAL SCIENCESE            
VARIANCE ANALYSIS AND EXPERIMANTAL DESIGNE            
L+P: Lecture and Practice
C: Compulsory
E: Elective
PQ: Program Learning Outcomes
TH [5]: Too High
H [4]: High
M [3]: Medium
L [2]: Low
TL [1]: Too Low
None [0]: None
FOE [0]: Field of Education
NQF-HETR : National Qualifications Framework For Higher Education in Turkey
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