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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EKNM 306APPLIED ECONOMICS SOFTWARE - II3 + 06th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective The aim of this course is to make some econometric and statistical applications with the use of econometric and statistical software such as Python, Eviews, Stata etc.
Course Content During the course, the subjects within the scope of Econometrics II will be applied with package programs such as Python, Eviews, Stata etc.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1The skill of data entry and analysis in Excel
2The skill of data entry and analysis in Eviews
3The skill of data entry and analysis in SPSS
4The skill of data entry and analysis in Stata

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13PO 14
LO 001   55         
LO 002   55         
LO 003   55         
LO 004   55         
Sub Total   2020         
Contribution00055000000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)13339
Hours for off-the-classroom study (Pre-study, practice)13339
Mid-terms21326
Final examination21326
Total Work Load

ECTS Credit of the Course






130

5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2013-2014 Spring2MUSTAFA SERDAR İSPİR
Details 2010-2011 Spring2MUSTAFA SERDAR İSPİR


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
EKNM 306 APPLIED ECONOMICS SOFTWARE - II 3 + 0 2 Turkish 2013-2014 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. MUSTAFA SERDAR İSPİR sispir@pau.edu.tr İİBF C0096 %70
Goals The aim of this course is to make some econometric and statistical applications with the use of econometric and statistical software such as Python, Eviews, Stata etc.
Content During the course, the subjects within the scope of Econometrics II will be applied with package programs such as Python, Eviews, Stata etc.
Topics
WeeksTopics
1 Eviews and Stata
2 Multicollinearity with eviews and stata
3 Autocorreelation with Eviews and Stata
4 Autocorreelation with Eviews and Stata
5 Heteroscedasticity with eviews and stata
6 Heteroscedasticity with eviews and stata
7 Econometic modelling
8 Dummy variables and application with Eviews and Stata
9 Midterm exam
10 Discrete choice model with Eviews and Stata
11 Discrete choice model with Eviews and Stata
12 Applied ekonometric models in Turkey's economics
13 Applied ekonometric models in Turkey's economics
14 Applied ekonometric models in Turkey's economics
Materials
Materials are not specified.
Resources
ResourcesResources Language
Introductory Econometrics,WooldridgeEnglish
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes