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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
IKT 555ADVANCED ECONOMETRIC SOFTWARE3 + 02nd Semester5

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective Introductions to econometric softwares(Eviews, Stata, Matlab, Gauss),Data analysis, Regression Analysis with softwares and real macro-economic data, Regression statistics and interpretations, Model assumptions tests and model selection, Dynamic modelling, Co-integration analysis, Forecasting with financial data.
Course Content Introductions to econometric softwares(Eviews, Stata, Matlab, Gauss),Data analysis, Regression Analysis with softwares and real macro-economic data, Regression statistics and interpretations, Model assumptions tests and model selection, Dynamic modelling,
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1they constitute an idea in economic subjects analitically and advocacy this idea coherent and critique the ideas constituted by others
2They have perfect knowledge They have perfect knowledge about general microeconomic theory through numeric and graphical methods

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 001454545454545
LO 002454545454545
Sub Total810810810810810810
Contribution454545454545

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-terms13339
Final examination11313
Total Work Load

ECTS Credit of the Course






130

5
COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes