PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
IKT 555	ADVANCED ECONOMETRIC SOFTWARE	3 + 0	2nd Semester	6

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

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

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05
LO 001	5	5	5	5	5
LO 002	5	5	5	5	5
Sub Total	10	10	10	10	10
Contribution	5	5	5	5	5

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	13	5	65
Hours for off-the-classroom study (Pre-study, practice)	13	2	26
Mid-terms	13	4	52
Final examination	1	13	13
Total Work Load ECTS Credit of the Course			156 6

COURSE DETAILS

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

Prospective Student