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SECOND CYCLE - MASTER'S DEGREE
THE GRADUATE SCHOOL OF SOCIAL SCIENCES
INTERNATIONAL TRADE AND FINANCE DEPARTMENT
2205 INTERNATIONAL TRADE AND FINANCE
Course Information
Course Learning Outcomes
Course's Contribution To Program
ECTS Workload
Course Details
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COURSE INFORMATION
Course Code
Course Title
L+P Hour
Semester
ECTS
UTFB 521
STATISTICAL AND ECONOMETRIC PROGRAMMING
3 + 0
1st Semester
7,5
COURSE DESCRIPTION
Course Level
Master's Degree
Course Type
Elective
Course Objective
The course aims to enable students to develop their knowledge in statistical and econometric coding using various analysis software.
Course Content
Estimation of statistical and econometric methods with various matrix programming software, interpretation of the obtained findings within the framework of economics and finance theories 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
1
Coding of statistical and econometric methods with programming language
2
Testing and interpreting code procedures with datasets
COURSE'S CONTRIBUTION TO PROGRAM
PO 01
PO 02
PO 03
LO 001
3
5
4
LO 002
4
3
3
Sub Total
7
8
7
Contribution
4
4
4
ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities
Quantity
Duration (Hour)
Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)
14
3
42
Hours for off-the-classroom study (Pre-study, practice)
14
8
112
Mid-terms
1
11
11
Final examination
1
30
30
Total Work Load
ECTS Credit of the Course
195
7,5
COURSE DETAILS
Select Year
All Years
2021-2022 Fall
2020-2021 Fall
Course Term
No
Instructors
Details
2020-2021 Fall
1
ŞABAN NAZLIOĞLU
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Course Details
Course Code
Course Title
L+P Hour
Course Code
Language Of Instruction
Course Semester
UTFB 521
STATISTICAL AND ECONOMETRIC PROGRAMMING
3 + 0
1
Turkish
2020-2021 Fall
Course Coordinator
E-Mail
Phone Number
Course Location
Attendance
Prof. Dr. ŞABAN NAZLIOĞLU
snazlioglu@pau.edu.tr
İİBF A0301 İİBF B0213
%
Goals
The course aims to enable students to develop their knowledge in statistical and econometric coding using various analysis software.
Content
Estimation of statistical and econometric methods with various matrix programming software, interpretation of the obtained findings within the framework of economics and finance theories are the basic contents of the course.
Topics
Materials
Materials are not specified.
Resources
Course Assessment
Assesment Methods
Percentage (%)
Assesment Methods Title
Final Exam
50
Final Exam
Midterm Exam
50
Midterm Exam
L+P:
Lecture and Practice
PQ:
Program Learning Outcomes
LO:
Course Learning Outcomes
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Home Page
About University
Name And Address
Acedemic Authorities
General Discription
Academic Calendar
General Admission Requirements
Recognition of Prior Learning
General Registration Procedures
ECTS Credit Allocation
Academic Guidance
Information For Students
Cost Of Living
Accommodation
Meals
Medical Facilities
Facilities for Special Needs Students
Insurance
Financial Support for Students
Student Affairs
Learning Facilities
International Programs
Language Courses
Internships
Sports Facilities and Leisure Activities
Student Associations
Practical Information for Mobile Students
Degree Programmes