PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
ENM 517	ADVENCED SIMULATION	3 + 0	2nd Semester	7,5

COURSE DESCRIPTION

Course Level	Master's Degree
Course Type	Elective
Course Objective	Simulation is a popular tool for modelling large, complex and stochastic systems which have not closed-form analytical solution. Although computing power has increased dramatically with the new technologies using simulation to find the optimum solution from among several alternative designs remains an important issue for decision makers. The aim of this course is to teach the use of simulation and to introduce the application areas of simulation.
Course Content	Simulation is a popular tool for modelling large, complex and stochastic systems which have not closed-form analytical solution. Although computing power has increased dramatically with the new technologies using simulation to find the optimum solution from among several alternative designs remains an important issue for decision makers. The aim of this course is to teach the use of simulation and to introduce the application areas of simulation.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Student employs simulation for modeling large and complex systems.
2	Student evaluates solutions using simulation approach for the problems which have not closed-form analytical solutions.
3	Student takes advantages of simulation in decision making processes.

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
LO 001	4	5	5	5	5	3	3	2	1	3
LO 002	4	5	5	5	5	3	3	2	1	3
LO 003	4	5	5	5	5	3	3	2	1	3
Sub Total	12	15	15	15	15	9	9	6	3	9
Contribution	4	5	5	5	5	3	3	2	1	3

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
Assignments	4	5	20
Mid-terms	1	60	60
Final examination	1	73	73
Total Work Load ECTS Credit of the Course			195 7,5

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
ENM 517	ADVENCED SIMULATION	3 + 0	1	Turkish	2023-2024 Spring

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Assoc. Prof. Dr. HACER GÜNER GÖREN	hgoren@pau.edu.tr		TEK A0107	%70

Goals		Simulation is a popular tool for modelling large, complex and stochastic systems which have not closed-form analytical solution. Although computing power has increased dramatically with the new technologies using simulation to find the optimum solution from among several alternative designs remains an important issue for decision makers. The aim of this course is to teach the use of simulation and to introduce the application areas of simulation.
Content		Simulation is a popular tool for modelling large, complex and stochastic systems which have not closed-form analytical solution. Although computing power has increased dramatically with the new technologies using simulation to find the optimum solution from among several alternative designs remains an important issue for decision makers. The aim of this course is to teach the use of simulation and to introduce the application areas of simulation.

Topics

Weeks	Topics
1	Introduction to the course
2	Basiz concepts
3	Discrete event simulation
4	Inpur modeling
5	Model verification and validation
6	Output analysis
7	Alternative model comparisons
8	Midterm exam
9	Experimental design
10	Response surface analysis
11	Case study analysis-1
12	Project presentations-1
13	Project presentations-2
14	Final Exam

Materials

Materials are not specified.

Resources

Resources	Resources Language
Simulation Modeling and Analysis, A. Law, 4th edition, McGraw Hill.	English
Discrete-Event System Simulation, J. Banks, J. Carson, B. L. Nelson, D. Nicol, 5th edition, Prentice Hall.	English

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	50	Final Exam
Midterm Exam	50	Midterm Exam

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

Prospective Student