PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
EKNM 306	APPLIED ECONOMICS SOFTWARE - II	3 + 0	6th Semester	5

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

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

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	5	5	5
LO 002	5	5	5	5	5	5	5	5	5	5		5
LO 003	5	5	5	5	5	5	5	5	5	5	5	5
LO 004	5	5	5	5	5	5	5	5	5	5	5	5
Sub Total	20	20	20	20	20	20	20	20	20	20	15	20
Contribution	5	5	5	5	5	5	5	5	5	5	4	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	4	52
Hours for off-the-classroom study (Pre-study, practice)	13	4	52
Mid-terms	1	13	13
Final examination	1	13	13
Total Work Load ECTS Credit of the Course			130 5

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
EKNM 306	APPLIED ECONOMICS SOFTWARE - II	3 + 0	1	Turkish	2020-2021 Spring

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Assoc. Prof. Dr. AYGÜL ANAVATAN	aanavatan@pau.edu.tr		İİBF C0203 İİBF C0206	%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

Weeks	Topics
1	Introductiın to Eviews software
2	Multicollinearity Problem - I
3	Multicollinearity Problem - II
4	Multicollinearity Problem - III
5	Heteroscedasticity Problem - I
6	Heteroscedasticity Problem - II
7	Heteroscedasticity Problem - III
8	Autocorreelation Problem - I
9	Autocorreelation Problem - II
10	Autocorreelation Problem - III
11	Autocorreelation Problem - IV
12	Model specification - I
13	Model specification - II
14	Model specification - III

Materials

Materials are not specified.

Resources

Resources	Resources Language
Introductory Econometrics,Wooldridge	English

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	60	Final Exam
Midterm Exam	40	Midterm Exam

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

Prospective Student