1. THIRD CYCLE - DOCTORATE DEGREE
  2. THE GRADUATE SCHOOL OF SOCIAL SCIENCES
  3. INTERNATIONAL TRADE AND FINANCE DEPARTMENT
  4. 2987 INTERNATIONAL TRADE AND FINANCE PhD
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
UTFB 616ADVANCED ECONOMETRIC ANALYSIS3 + 02nd Semester10

COURSE DESCRIPTION
Course Level Doctorate Degree
Course Type Elective
Course Objective The course aims to enable students to advanced develop their knowledge in the fields of data collection, organization, analysis and presentation by using advanced econometric analysis methods.
Course Content Advanced econometric and statistical methods to be used in data analysis are the basic contents of the course.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Learning and applying advanced econometric analysis methods

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04
LO 0012354
Sub Total2354
Contribution2354

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)1412168
Mid-terms11212
Final examination13838
Total Work Load

ECTS Credit of the Course





260

10
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2020-2021 Spring1ŞABAN NAZLIOĞLU


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
UTFB 616 ADVANCED ECONOMETRIC ANALYSIS 3 + 0 1 Turkish 2020-2021 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. ŞABAN NAZLIOĞLU snazlioglu@pau.edu.tr İİBF A0321 %
Goals The course aims to enable students to advanced develop their knowledge in the fields of data collection, organization, analysis and presentation by using advanced econometric analysis methods.
Content Advanced econometric and statistical methods to be used in data analysis are the basic contents of the course.
Topics
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes