PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
EKNM 409	SIMULATION METHODS	3 + 0	5th Semester	5

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Elective
Course Objective	To teach simulation techniques.
Course Content	Concepts of system and model. Science of simulation method. Developing simulation model and program. Design of a model. Design of Simulation Experiments. Analyzing of simulation application results. Simulation applications. System simulation application sample and projects
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	To be able to do simulation.
2	To be able to think analytically

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	5
Sub Total	10	10	10	10	10	10	10	10	10	10	10	10
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)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	3	42
Mid-terms	1	23	23
Final examination	1	23	23
Total Work Load ECTS Credit of the Course			130 5

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2016-2017 Fall	2	ŞABAN NAZLIOĞLU

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
EKNM 409	SIMULATION METHODS	3 + 0	2	Turkish	2016-2017 Fall

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Prof. Dr. ŞABAN NAZLIOĞLU	snazlioglu@pau.edu.tr		İİBF B0214	%60

Goals		To teach simulation techniques.
Content		Concepts of system and model. Science of simulation method. Developing simulation model and program. Design of a model. Design of Simulation Experiments. Analyzing of simulation application results. Simulation applications. System simulation application sample and projects

Topics

Weeks	Topics
1	Introduction Programming in GAUSS
2	Matrix Operations in GAUSS
3	Loop Operations in GAUSS
4	Developing Procedures in GAUSS-I
5	Developing Procedures in GAUSS-II
6	Data Generating Process
7	Mid-term Examination
8	Introduction to Simulation
9	Monte Carlo Simulation
10	Bootstrap Distribution and Simulation
11	Generating Critical Values of Test Statistic
12	Size and Power Analysis
13	Empirical Applications-I
14	Empirical Applications-II

Materials

File	File Name	File Language	Original File Name	Added Date
Download File	Learning Econometrics with GAUSS	English	Chung(2004).pdf	10.10.2016 11:54:55
Download File	Learning Econometrics with GAUSS	English	Chung(2004).pdf	10.10.2016 11:57:53
Download File	Learning Econometrics with GAUSS	English	Chung(2004).pdf	10.10.2016 11:57:58
Download File	Learning Econometrics with GAUSS	English	Chung(2004).pdf	10.10.2016 11:57:58

Resources

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