PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
IKT 528	ECONOMETRICS II	3 + 0	2nd Semester	7,5

COURSE DESCRIPTION

Course Level	Master's Degree
Course Type	Elective
Course Objective	The main aim of the course is to acquire a deep knowledge in econometrics
Course Content	Multicollinearity, Heteroscedasticity, Autocorreelation, Econometic modeling, Dummy variables, Discrete choice model, Dynamic econometric model and autoregressive models Simultaneous equations, basics of time series econometrics
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	specification of an adequate regression model and making parameter estimate
2	Making statistical inference
3	Choosing the best model
4	Diagnostic checking of the model
5	Using the econometrics software
6	Making prediction and forecast
7	Using the model for control and policy purposes
8	Evaluating the data

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11	PO 12
LO 001	5	5	5	5	5	5	5	5	5	4	4	5
LO 002	4	4	4	5	4	5	4	5	4	5	4	5
LO 003	5	4	5	4	5	4	5	4	5	4	5	4
LO 004	5	4	5	4	5	4	5	4	5	4	5	4
LO 005	5	5	5	5	4	5	4	5	4	5	4	5
LO 006	5	5	5	5	4	5	4	5	4	5	4	5
LO 007	5	5	5	5	5	5	5	5	5	5	5	5
LO 008	5	4	5	4	5	4	5	4	5	4	5	4
Sub Total	39	36	39	37	37	37	37	37	37	36	36	37
Contribution	5	5	5	5	5	5	5	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	3	39
Assignments	2	13	26
Final examination	1	39	39
Midterm	1	26	26
Total Work Load ECTS Credit of the Course			195 7,5

COURSE DETAILS

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

Prospective Student